Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General Public License.
1 Introduction | What is Sherpa
| |
2 Getting started | A guide to getting started with Sherpa
| |
3 Command line options | Sherpa’s command line options | |
4 Input structure | How to specify parameters for a Sherpa run | |
5 Parameters | The complete list of parameters
| |
6 Tips and tricks | Advanced usage tips | |
7 A posteriori scale variations | ||
8 Customization | Extending Sherpa
| |
9 Examples | Examples to illustrate some of Sherpa’s features
| |
10 Getting help | What to do if you have questions about Sherpa
| |
11 Authors | Authors of Sherpa | |
12 Copying | Your rights and freedoms
| |
Appendix A References | Bibliography | |
Appendix B Index |
Sherpa is a Monte Carlo event generator for the Simulation of High-Energy Reactions of PArticles in lepton-lepton, lepton-photon, photon-photon, lepton-hadron and hadron-hadron collisions. This document provides information to help users understand and apply Sherpa for their physics studies. The event generator is introduced, in broad terms, and the installation and running of the program are outlined. The various options and parameters specifying the program are compiled, and their meanings are explained. This document does not aim at giving a complete description of the physics content of Sherpa . To this end, the authors refer the reader to the original publications, [Gle08b] and [Both19].
1.1 Introduction to Sherpa | Intro | |
1.2 Basic structure | Descriptions of modules within Sherpa |
Sherpa [Gle08b] is a Monte Carlo event generator that provides complete hadronic final states in simulations of high-energy particle collisions. The produced events may be passed into detector simulations used by the various experiments. The entire code has been written in C++, like its competitors Herwig++ [Bah08b] and Pythia 8 [Sjo07].
Sherpa simulations can be achieved for the following types of collisions:
The list of physics processes that can be simulated with Sherpa covers all reactions in the Standard Model. Other models can be implemented either using Sherpa’s own model syntax, or by using the generic interface [Hoe14c] to the UFO output [Deg11] of FeynRules [Chr08],[Chr09]. The Sherpa program owes this versatility to the two inbuilt matrix-element generators, AMEGIC++ and Comix, and to it’s phase-space generator Phasic [Kra01], which automatically calculate and integrate tree-level amplitudes for the implemented models. This feature enables Sherpa to be used as a cross-section integrator and parton-level event generator as well. This aspect has been extensively tested, see e.g. [Gle03b], [Hag05].
As a second key feature of Sherpa the program provides an implementation of the merging approaches of [Hoe09] and [Geh12], [Hoe12a]. These algorithms yield improved descriptions of multijet production processes, which copiously appear at lepton-hadron colliders like HERA [Car09], or hadron-hadron colliders like the Tevatron and the LHC, [Kra04], [Kra05], [Gle05], [Hoe09a]. An older approach, implemented in previous versions of Sherpa and known as the CKKW technique [Cat01a], [Kra02], has been compared in great detail in [Alw07] with other approaches, such as the MLM merging prescription [Man01] as implemented in Alpgen [Man02], Madevent [Ste94], [Mal02a], or Helac [Kan00], [Pap05] and the CKKW-L prescription [Lon01], [Lav05] of Ariadne [Lon92].
This manual contains all information necessary to get started with Sherpa as quickly as possible. It lists options and switches of interest for steering the simulation of various physics aspects of the collision. It does not describe the physics simulated by Sherpa or the underlying structure of the program. Many external codes can be linked with Sherpa. This manual explains how to do this, but it does not contain a description of the external programs. You are encouraged to read their corresponding documentations, which are referenced in the text. If you use external programs with Sherpa, you are encouraged to cite them accordingly.
The MCnet Guidelines apply to Sherpa. You are kindly asked to cite [Gle08b] if you have used the program in your work.
The Sherpa authors strongly recommend the study of the manuals and many excellent publications on different aspects of event generation and physics at collider experiments written by other event generator authors.
This manual is organized as follows: in Basic structure the modular structure intrinsic to Sherpa is introduced. Getting started contains information about and instructions for the installation of the package. There is also a description of the steps that are needed to run Sherpa and generate events. The Input structure is then discussed, and the ways in which Sherpa can be steered are explained. All parameters and options are discussed in Parameters. Advanced Tips and tricks are detailed, and some options for Customization are outlined for those more familiar with Sherpa. There is also a short description of the different Examples provided with Sherpa.
The construction of Monte Carlo programs requires several assumptions, approximations and simplifications of complicated physics aspects. The results of event generators should therefore always be verified and cross-checked with results obtained by other programs, and they should be interpreted with care and common sense.
Sherpa is a modular program. This reflects the paradigm of Monte Carlo
event generation, with the full simulation is split into well defined
event phases, based on QCD factorization theorems. Accordingly, each
module encapsulates a different aspect of event generation for
high-energy particle reactions. It resides within its own namespace
and is located in its own subdirectory of the same name. The main
module called SHERPA
steers the interplay of all modules – or
phases – and the actual generation of the events.
Altogether, the following modules are currently distributed with the
Sherpa framework:
This is the toolbox for all other modules. Since the Sherpa framework does not rely on CLHEP etc., the ATOOLS contain classes with mathematical tools like vectors and matrices, organization tools such as read-in or write-out devices, and physics tools like particle data or classes for the event record.
In this module some general methods for the evaluation of helicity amplitudes have been accumulated. They are used in AMEGIC++ , the EXTRA_XS module, and the new matrix-element generator Comix. This module also contains helicity amplitudes for some generic matrix elements, that are, e.g., used by HADRONS++ . Further, METOOLS also contains a simple library of tensor integrals which are used in the PHOTONS++ matrix element corrections.
This module manages the treatment of the initial beam spectra for different colliders. The three options which are currently available include a monochromatic beam, which requires no extra treatment, photon emission in the Equivalent Photon Approximation (EPA) and - for the case of an electron collider - laser backscattering off the electrons, leading to photonic initial states.
The PDF module provides access to various parton density functions (PDFs) for the proton and the photon. In addition, it hosts an interface to the LHAPDF package, which makes a full wealth of PDFs available. An (analytical) electron structure function is supplied in the PDF module as well.
This module sets up the physics model for the simulation. It initializes particle properties, basic physics parameters (coupling constants, mixing angles, etc.) and the set of available interaction vertices (Feynman rules). By now, there exist explicit implementations of the Standard Model (SM), its Minimal Supersymmetric extension (MSSM), the ADD model of large extra dimensions, and a comprehensive set of operators parametrizing anomalous triple and quartic electroweak gauge boson couplings. An Interface to FeynRules is also available.
In this module a (limited) collection of analytic expressions for simple 2->2 processes within the SM are provided together with classes embedding them into the Sherpa framework. This also includes methods used for the definition of the starting conditions for parton-shower evolution, such as colour connections and the hard scale of the process.
AMEGIC++ [Kra01] is Sherpa ’s original matrix-element generator. It employs the method of helicity amplitudes [Kle85], [Bal92] and works as a generator, which generates generators: During the initialization run the matrix elements for a given set of processes, as well as their specific phase-space mappings are created by AMEGIC++ . Corresponding C++ sourcecode is written to disk and compiled by the user using the makelibs script or scons. The produced libraries are linked to the main program automatically in the next run and used to calculate cross sections and to generate weighted or unweighted events. AMEGIC++ has been tested for multi-particle production in the Standard Model [Gle03b]. Its MSSM implementation has been validated in [Hag05].
Comix is a multi-leg tree-level matrix element generator, based on the color dressed Berends-Giele recursive relations [Duh06]. It employs a new algorithm to recursively compute phase-space weights. The module is a useful supplement to older matrix element generators like AMEGIC++ in the high multiplicity regime. Due to the usage of colour sampling it is particularly suited for an interface with parton shower simulations and can hence be easily employed for the ME-PS merging within Sherpa. It is Sherpa’s default large multiplicity matrix element generator for the Standard Model.
All base classes dealing with the Monte Carlo phase-space integration are located in this module. For the evaluation of the initial-state (laser backscattering, initial-state radiation) and final-state integrals, the adaptive multi-channel method of [Kle94], [Ber94] is used by default together with a Vegas optimization [Lep80] of the single channels. In addition, final-state integration accomplished by Rambo [Kle85a], Sarge [Dra00] and HAAG [Ham02] is supported.
This is the module hosting Sherpa’s default parton shower, which was published in [Sch07a]. The corresponding shower model was originally proposed in [Nag05], [Nag06]. It relies on the factorisation of real-emission matrix elements in the CS subtraction framework [Cat96b], [Cat02]. There exist four general types of CS dipole terms that capture the complete infrared singularity structure of next-to-leading order QCD amplitudes. In the large-N_C limit, the corresponding splitter and spectator partons are always adjacent in colour space. The dipole functions for the various cases, taken in four dimensions and averaged over spins, are used as shower splitting kernels.
This is the module hosting Sherpa’s alternative parton shower [Hoe15]. In the Dire model, the ordering variable exhibits a symmetry in emitter and spectator momenta, such that the dipole-like picture of the evolution can be re-interpreted as a dipole picture in the soft limit. At the same time, the splitting functions are regularized in the soft anti-collinear region using partial fractioning of the soft eikonal in the Catani-Seymour approach [Cat96b], [Cat02]. They are then modified to satisfy the sum rules in the collinear limit. This leads to an invariant formulation of the parton-shower algorithm, which is in complete analogy to the standard DGLAP case, but generates the correct soft anomalous dimension at one-loop order.
AMISIC++ contains classes for the simulation of multiple parton interactions according to [Sjo87]. In Sherpa the treatment of multiple interactions has been extended by allowing for the simultaneous evolution of an independent parton shower in each of the subsequent (semi-)hard collisions. The beam–beam remnants are organized such that partons which are adjacent in colour space are also adjacent in momentum space. The corresponding classes for beam remnant handling reside in the PDF and SHERPA modules.
AHADIC++ is Sherpa ’s hadronization package, for translating the partons (quarks and gluons) into primordial hadrons, to be further decayed in HADRONS++. The algorithm bases on the cluster fragmentation ideas presented in [Got82], [Got83], [Web83], [Got86] and implemented in the Herwig family of event generators. The actual Sherpa implementation, based on [Win03], differs from the original model in several respects.
HADRONS++ is the module for simulating hadron and tau-lepton decays. The resulting decay products respect full spin correlations (if desired). Several matrix elements and form-factor models have been implemented, such as the Kühn-Santamaría model, form-factor parametrizations from Resonance Chiral Theory for the tau and form factors from heavy quark effective theory or light cone sum rules for hadron decays.
The PHOTONS++ module holds routines to add QED radiation to hadron and tau-lepton decays. This has been achieved by an implementation of the YFS algorithm [Yen61]. The structure of PHOTONS++ is such that the formalism can be extended to scattering processes and to a systematic improvement to higher orders of perturbation theory [Sch08]. The application of PHOTONS++ therefore accounts for corrections that usually are added by the application of PHOTOS [Bar93] to the final state.
Finally, SHERPA is the steering module that initializes, controls and evaluates the different phases during the entire process of event generation. All routines for the combination of truncated showers and matrix elements, which are independent of the specific matrix element and parton shower generator are found in this module.
The actual executable of the
Sherpa generator can be found in the
subdirectory <prefix>/bin/
and is
called Sherpa
. To run the program, input files have to be
provided in the current working directory or elsewhere by specifying
the corresponding path, see Input structure. All output files are then written to this
directory as well.
2.1 Installation | How to install Sherpa | |
2.2 Running Sherpa | How to run the event generator | |
2.3 Cross section determination | How cross sections are determined |
Sherpa is distributed as a tarred and gzipped file named
SHERPA-MC-2.2.11.tar.gz
, and can be unpacked in the current
working directory with
tar -zxf SHERPA-MC-2.2.11.tar.gz
Alternatively, it can also be accessed via Git through the location specified
on the download page. In that case, before continuing, it is necessary to
construct the build scripts by running autoreconf -i
once after cloning
the Git repo.
To guarantee successful installation, the following tools should be available on the system:
If SQLite is installed in a non-standard location, please specify the installation path using option ‘--with-sqlite3=/path/to/sqlite’. If SQLite is not installed on your system, the Sherpa configure script provides the fallback option of installing it into the same directory as Sherpa itself. To do so, please run configure with option ‘--with-sqlite3=install’ (This may not work if you are cross-compiling using ‘--host’. In this case, please install SQLite by yourself and reconfigure using ‘--with-sqlite3=/path/to/sqlite’).
Compilation and installation proceed through the following commands:
./configure
make install
If not specified differently, the directory structure after installation is organized as follows
$(prefix)/bin
Sherpa executeable and scripts
$(prefix)/include
headers for process library compilation
$(prefix)/lib
basic libraries
$(prefix)/share
PDFs, Decaydata, fallback run cards
The installation directory $(prefix)
can be specified by using the
./configure --prefix /path/to/installation/target
directive and defaults
to the current working directory.
If Sherpa has to be moved to a different directory after the installation, one has to set the following environment variables for each run:
SHERPA_INCLUDE_PATH=$newprefix/include/SHERPA-MC
SHERPA_SHARE_PATH=$newprefix/share/SHERPA-MC
SHERPA_LIBRARY_PATH=$newprefix/lib/SHERPA-MC
LD_LIBRARY_PATH=$SHERPA_LIBRARY_PATH:$LD_LIBRARY_PATH
Sherpa can be interfaced with various external packages, e.g. HepMC, for event output, or LHAPDF, for PDFs. For this to work, the user has to pass the appropriate commands to the configure step. This is achieved as shown below:
./configure --enable-hepmc2=/path/to/hepmc2 --enable-lhapdf=/path/to/lhapdf
Here, the paths have to point to the top level installation directories of
the external packages, i.e. the ones containing the lib/
, share/
,
... subdirectories.
For a complete list of possible configuration options run ‘./configure --help’.
The Sherpa package has successfully been compiled, installed and tested on SuSE, RedHat / Scientific Linux and Debian / Ubuntu Linux systems using the GNU C++ compiler versions 3.2, 3.3, 3.4, and 4.x as well as on Mac OS X 10 using the GNU C++ compiler version 4.0. In all cases the GNU FORTRAN compiler g77 or gfortran has been employed.
If you have multiple compilers installed on your system, you can use shell environment variables to specify which of these are to be used. A list of the available variables is printed with
./configure --help
in the Sherpa top level directory and looking at the last lines. Depending on the shell you are using, you can set these variables e.g. with export (bash) or setenv (csh). Examples:
export CXX=g++-3.4
export CC=gcc-3.4
export CPP=cpp-3.4
Sherpa has been installed successfully on Cray XE6 and Cray XK7. The following configure command should be used
./configure <your options> --enable-mpi --host=i686-pc-linux CC=CC CXX=CC FC='ftn -fPIC' LDFLAGS=-dynamic
Sherpa can then be run with
aprun -n <nofcores> <prefix>/bin/Sherpa -lrun.log
The modularity of the code requires setting the environment variable ‘CRAY_ROOTFS’, cf. the Cray system documentation.
Sherpa has been installed successfully on an IBM BlueGene/Q system. The following configure command should be used
./configure <your options> --enable-mpi --host=powerpc64-bgq-linux CC=mpic++ CXX=mpic++ FC='mpif90 -fPIC -funderscoring' LDFLAGS=-dynamic
Sherpa can then be run with
qsub -A <account> -n <nofcores> -t 60 --mode c16 <prefix>/bin/Sherpa -lrun.log
Since it is more complicated to set up the necessary compiler environment on a Mac we recommend using a package manager to install Sherpa and its dependencies. David Hall is hosting a repository for Homebrew packages at: http://davidchall.github.io/homebrew-hep/
In case you are compiling yourself, please be aware of the following issues which have come up on Mac installations before:
autoreconf
or (g)libtoolize
, you have to make sure that you have a recent version
of GNU libtool (>=1.5.22 has been tested). Don’t confuse this with
the native non-GNU libtool which is installed in /usr/bin/libtool
and
of no use! Also make sure that your autools (autoconf >= 2.61,
automake >= 1.10 have been tested) are of recent versions. All this should
not be necessary though, if you only run configure
.
otool -L bin/Sherpa
The Sherpa
executable resides in the directory <prefix>/bin/
where <prefix>
denotes the path to the Sherpa installation
directory. The way a particular simulation will be accomplished is
defined by several parameters, which can all be listed in a
common file, or data card (Parameters can be
alternatively specified on the command line; more details are given
in Input structure).
This steering file is called Run.dat
and some example setups
(i.e. Run.dat
files) are distributed with the current version
of Sherpa. They can be found in the directory
<prefix>/share/SHERPA-MC/Examples/
, and descriptions of some of
their key features can be found in the section Examples.
Please note: It is not in general possible to reuse run cards from previous Sherpa versions. Often there are small changes in the parameter syntax of the run cards from one version to the next. These changes are documented in our manuals. In addition, always use the newer Hadron.dat and Decaydata directories (and reapply any changes which you might have applied to the old ones), see Hadron decays.
The very first step in running Sherpa
is therefore to adjust all parameters to the needs of the
desired simulation. The details for doing this properly are given in
Parameters. In this section, the focus is on the main
issues for a successful operation of Sherpa. This is illustrated by
discussing and referring to the parameter settings that come in the run card
./Examples/V_plus_Jets/LHC_ZJets/Run.dat
, cf. Z+jets production.
This is a simple run card
created to show the basics of how to operate Sherpa. It should be
stressed that this run-card relies on many of Sherpa’s default settings,
and, as such, you should understand those settings before using it to
look at physics. For more information on the settings and parameters in
Sherpa, see Parameters, and for more
examples see the Examples section.
Central to any Monte Carlo simulation is the choice of the hard
processes that initiate the events. These hard processes are
described by matrix elements. In Sherpa,
the selection of processes happens in the (processes)
part of the steering file.
Only a few
2->2
reactions have been hard-coded. They are available in the EXTRA_XS module.
The more usual way to compute matrix elements is to employ one of Sherpa’s
automated tree-level generators, AMEGIC++ and Comix, see Basic structure.
If no matrix-element generator is selected, using the ME_SIGNAL_GENERATOR
tag, then Sherpa will use whichever generator is capable of calculating the
process, checking Comix first, then AMEGIC++ and then EXTRA_XS. Therefore,
for some processes, several of the options are used. In this example,
however, all processes will be calculated by Comix.
To begin with the example, the Sherpa run has to be started by changing
into the <prefix>/share/SHERPA-MC/Examples/V_plus_Jets/LHC_ZJets/
directory and executing
<prefix>/bin/Sherpa
You may also run from an arbitrary directory, employing
<prefix>/bin/Sherpa PATH=<prefix>/share/SHERPA-MC/Examples/V_plus_Jets/LHC_ZJets
.
In the example, the keyword PATH
is specified by an absolute path.
It may also be specified relative to the current working directory. If it is
not specified at all or it is omitted, the current working directory
is understood.
For good book-keeping, it is highly recommended to reserve different subdirectories for different simulations as is demonstrated with the example setups.
If AMEGIC++ is used, Sherpa requires an initialization run, where
C++ source code is written to disk. This code must be compiled into dynamic libraries
by the user by running the makelibs
script in the working directory.
Alternatively, if scons is installed,
you may invoke <prefix>/bin/make2scons and run scons install.
After this step Sherpa is run again for the actual cross section integrations and event generation.
For more information on and examples of how to run Sherpa using AMEGIC++, see
Running Sherpa with AMEGIC++.
If the internal hard-coded matrix elements or Comix are used, and AMEGIC++ is not, an initialization run is not needed, and Sherpa will calculate the cross sections and generate events during the first run.
As the cross sections are integrated, the
integration over phase space is optimized to arrive at an
efficient event generation.
Subsequently events are generated if EVENTS
was specified
either on the command line or added to the (run)
section
in the Run.dat
file.
The generated events are not stored into a file by default; for details on how to store the events see Event output formats. Note that the computational effort to go through this procedure of generating, compiling and integrating the matrix elements of the hard processes depends on the complexity of the parton-level final states. For low multiplicities ( 2->2,3,4 ), of course, it can be followed instantly.
Usually more than one generation run is wanted. As long as the
parameters that affect the matrix-element integration are not changed,
it is advantageous to store the cross sections obtained during the
generation run for later use. This saves CPU time especially for large
final-state multiplicities of the matrix elements. Per default, Sherpa
stores these integration results in a directory called Results/
.
The name of the output directory can be customised via
<prefix>/bin/Sherpa RESULT_DIRECTORY=<result>/
see RESULT_DIRECTORY. The storage of the integration results can be prevented by either using
<prefix>/bin/Sherpa GENERATE_RESULT_DIRECTORY=0
or the command line option ‘-g’ can be invoked, see Command line options.
If physics parameters change, the cross sections have to be recomputed.
The new results should either be stored in a new directory or the
<result>
directory may be re-used once it has been emptied.
Parameters which require a recomputation are any parameters affecting
the Models, Matrix elements or Selectors.
Standard examples are changing the magnitude of couplings,
renormalisation or factorisation scales, changing the PDF or
centre-of-mass energy, or, applying different cuts at the parton
level. If unsure whether a recomputation is required, a simple
test is to remove the
RESULT_DIRECTORY
option from the run command and check
whether the new integration numbers (statistically) comply with the
stored ones.
A warning on the validity of the
process libraries is in order here: it is absolutely mandatory to
generate new library files, whenever the physics model is altered,
i.e. particles are added or removed and hence new or existing
diagrams may or may not anymore contribute to the same final states.
Also, when particle masses are switched on or off, new library files
must be generated (however, masses may be changed between non-zero
values keeping the same process libraries). The best recipe is to
create a new and separate setup directory in such cases. Otherwise the
Process
and Results
directories have to be erased:
rm -rf Process/ Results/
In either case one has to start over with the whole initialization procedure to prepare for the generation of events.
The setup file ( Run.dat
) provided in ./Examples/V_plus_Jets/LHC_ZJets/
can be considered as a standard example to illustrate the generation of fully hadronised
events in Sherpa, cf. Z+jets production. Such events will include effects from
parton showering, hadronisation into primary hadrons and their subsequent
decays into stable hadrons. Moreover, the example chosen here nicely
demonstrates how Sherpa is used in the context of merging matrix elements
and parton showers [Hoe09]. In addition to the aforementioned
corrections, this simulation of inclusive Drell-Yan production
(electron-positron channel) will then include higher-order jet corrections
at the tree level. As a result the transverse-momentum distribution of
the Drell-Yan pair and the individual jet multiplicities as measured by the
ATLAS and CMS collaborations at the LHC can be well described.
Before event generation, the initialization procedure as described in Process selection and initialization has to be completed. The matrix-element processes included in the setup are the following:
proton proton -> parton parton -> electron positron + up to four partons
In the (processes)
part of the steering file this translates into
Process 93 93 -> 11 -11 93{4} Order (*,2); CKKW sqr(30/E_CMS) End process;
The physics model for these processes is the Standard Model (‘SM’)
which is the default setting of the parameter MODEL
and is therefore
not set explicitly. Fixing the order of electroweak couplings to ‘2’,
matrix elements of all partonic subprocesses for Drell-Yan production without
any and with up to two extra QCD parton emissions will be generated.
Proton–proton collisions are considered at beam energies of 3.5 TeV.
The default PDF used by Sherpa is CT10. Model parameters and couplings can
be set in section (run)
of Run.dat
. Similarly, the way
couplings are treated can be defined. As no options are set the default
parameters and scale setting procedures are used.
The QCD radiation matrix elements have to be
regularised to obtain meaningful cross sections. This is achieved by
specifying ‘CKKW sqr(30/E_CMS)’ in the (processes)
part of
Run.dat
. Simultaneously, this tag initiates the ME-PS merging procedure.
To eventually obtain fully hadronized events, the FRAGMENTATION
tag
has been left on it’s default setting ‘Ahadic’ (and therefore been
omitted from the run card), which will run Sherpa’s cluster hadronisation,
and the tag DECAYMODEL
has it’s default setting ‘Hadrons’,
which will run Sherpa’s hadron decays. Additionally corrections owing to
photon emissions are taken into account.
To run this example set-up, use the
<prefix>/bin/Sherpa
command as descibed in Running Sherpa. Sherpa displays some output as it runs. At the start of the run, Sherpa initializes the relevant model, and displays a table of particles, with their PDG codes and some properties. It also displays the Particle containers, and their contents. The other relevant parts of Sherpa are initialized, including the matrix element generator(s). The Sherpa output will look like:
Initialized the beams Monochromatic*Monochromatic PDF set 'ct10' loaded for beam 1 (P+). PDF set 'ct10' loaded for beam 2 (P+). Initialized the ISR: (SF)*(SF) Initialize the Standard Model from / Model.dat One_Running_AlphaS::One_Running_AlphaS() { Setting \alpha_s according to PDF perturbative order 1 \alpha_s(M_Z) = 0.118 } One_Running_AlphaS::One_Running_AlphaS() { Setting \alpha_s according to PDF perturbative order 1 \alpha_s(M_Z) = 0.118 } Initialized the Soft_Collision_Handler. Init shower for 1. CS_Shower::CS_Shower(): Set core m_T mode 0 Shower::Shower(asfacs: IS = 0.73, FS = 1.38) Init shower for 2. CS_Shower::CS_Shower(): Set core m_T mode 0 Shower::Shower(asfacs: IS = 0.73, FS = 1.38) Initialized the Shower_Handler. +----------------------------------+ | | | CCC OOO M M I X X | | C O O MM MM I X X | | C O O M M M I X | | C O O M M I X X | | CCC OOO M M I X X | | | +==================================+ | Color dressed Matrix Elements | | http://comix.freacafe.de | | please cite JHEP12(2008)039 | +----------------------------------+ Matrix_Element_Handler::BuildProcesses(): Looking for processes . done ( 23252 kB, 0s ). Matrix_Element_Handler::InitializeProcesses(): Performing tests . done ( 23252 kB, 0s ). Initialized the Matrix_Element_Handler for the hard processes. Initialized the Beam_Remnant_Handler. Hadron_Init::Init(): Initializing kf table for hadrons. Initialized the Fragmentation_Handler. Initialized the Soft_Photon_Handler. Hadron_Decay_Map::Read: Initializing HadronDecays.dat. This may take some time. Initialized the Hadron_Decay_Handler, Decay model = Hadrons R
Then Sherpa will start to integrate the cross sections. The output will look like:
Process_Group::CalculateTotalXSec(): Calculate xs for '2_2__j__j__e-__e+' (Comix) Starting the calculation at 11:58:56. Lean back and enjoy ... . 822.035 pb +- ( 16.9011 pb = 2.05601 % ) 5000 ( 11437 -> 43.7 % ) full optimization: ( 0s elapsed / 22s left ) [11:58:56] 841.859 pb +- ( 11.6106 pb = 1.37916 % ) 10000 ( 18153 -> 74.4 % ) full optimization: ( 0s elapsed / 21s left ) [11:58:57] ...
The first line here displays the process which is being calculated. In this example, the integration is for the 2->2 process, parton, parton -> electron, positron. The matrix element generator used is displayed after the process. As the integration progresses, summary lines are displayed, like the one shown above. The current estimate of the cross section is displayed, along with its statistical error estimate. The number of phase space points calculated is displayed after this (‘10000’ in this example), and the efficiency is displayed after that. On the line below, the time elapsed is shown, and an estimate of the total time till the optimisation is complete. In square brackets is an output of the system clock.
When the integration is complete, the output will look like:
... 852.77 pb +- ( 0.337249 pb = 0.0395475 % ) 300000 ( 313178 -> 98.8 % ) integration time: ( 19s elapsed / 0s left ) [12:01:35] 852.636 pb +- ( 0.330831 pb = 0.038801 % ) 310000 ( 323289 -> 98.8 % ) integration time: ( 19s elapsed / 0s left ) [12:01:35] 2_2__j__j__e-__e+ : 852.636 pb +- ( 0.330831 pb = 0.038801 % ) exp. eff: 13.4945 % reduce max for 2_2__j__j__e-__e+ to 0.607545 ( eps = 0.001 )
with the final cross section result and its statistical error displayed.
Sherpa will then move on to integrate the other processes specified in the run card.
When the integration is complete, the event generation will start. As the events are being generated, Sherpa will display a summary line stating how many events have been generated, and an estimate of how long it will take. When the event generation is complete, Sherpa’s output looks like:
... Event 10000 ( 58 s total ) In Event_Handler::Finish : Summarizing the run may take some time. +----------------------------------------------------+ | | | Total XS is 900.147 pb +- ( 8.9259 pb = 0.99 % ) | | | +----------------------------------------------------+
A summary of the number of events generated is displayed, with the total cross section for the process.
The generated events are not stored into a file by default; for details on how to store the events see Event output formats.
Sherpa has its own tree-level matrix-element generators called AMEGIC++ and Comix.
Furthermore, with the module PHASIC++, sophisticated and
robust tools for phase-space integration are provided. Therefore
Sherpa obviously can be used as a cross-section integrator. Because
of the way Monte Carlo integration is accomplished, this immediately
allows for parton-level event generation. Taking the LHC_ZJets
setup, users have to modify just a few settings in Run.dat
and
would arrive at a parton-level generation for the process gluon down-quark to electron
positron and down-quark, to name an example. When, for instance, the
options “EVENTS=0 OUTPUT=2
” are added to the command line,
a pure cross-section integration for that process would be obtained
with the results plus integration errors written to the screen.
For the example, the (processes)
section alters to
Process : 21 1 -> 11 -11 1 Order (*,2); End process
and under the assumption to start afresh, the initialization procedure has
to be followed as before.
Picking the same collider environment as in the previous
example there are only two more changes before the Run.dat
file
is ready for the calculation of the hadronic cross section of the
process g d to e- e+ d at LHC and subsequent
parton-level event generation with Sherpa. These changes read
SHOWER_GENERATOR=None
, to switch off parton showering,
FRAGMENTATION=Off
, to do so for the hadronisation effects,
MI_HANDLER=None
, to switch off multiparton interactions, and
ME_QED=Off
, to switch off resummed QED corrections onto the
Z -> e- e+ decay. Additionally, the non-perturbative intrinsic transverse
momentum may be wished to not be taken into account, therefore set
BEAM_REMNANTS=0;
.
For a large fraction of LHC final states, the application of reconstruction algorithms leads to the identification of several hard jets. Calculations therefore need to describe as accurately as possible both the hard jet production as well as the subsequent evolution and the interplay of multiple such topologies. Several scales determine the evolution of the event.
Various such merging schemes have been proposed: [Cat01a], [Lon01], [Man01], [Kra02], [Man06], [Lav08], [Hoe09], [Ham09a], [Ham10], [Hoe10], [Lon11], [Hoe12a], [Geh12], [Lon12b], [Lon12a]. Comparisons of the older approaches can be found e.g. in [Hoc06], [Alw07]. The currently most advanced treatment at tree-level, detailed in [Hoe09], [Hoe09a], [Car09], is implemented in Sherpa.
How to setup a multijet merged calculation is detailed in most Examples, eg. W+jets production, Z+jets production or Top quark (pair) + jets production.
When Sherpa is run using the matrix element generator
AMEGIC++, it is necessary to run it twice. During the first run
(the initialization run) Feynman diagrams for the hard processes are
constructed and translated into helicity amplitudes. Furthermore
suitable phase-space mappings are produced. The amplitudes and
corresponding integration channels are written to disk as C++
sourcecode, placed in a subdirectory called Process
. The
initialization run is started using the standard Sherpa executable,
as decribed in Running Sherpa. The relevant command is
<prefix>/bin/Sherpa
The initialization run stops with the message "New libraries created. Please
compile.", which is nothing but the request to carry
out the compilation and linking procedure for the generated
matrix-element libraries. The makelibs
script, provided for this
purpose and created in the working directory, must be invoked by the user
(see ./makelibs -h
for help):
./makelibs
Note that the following tools have to be available for this step:
autoconf
, automake
and libtool
.
Alternatively, if scons is installed,
you may invoke <prefix>/bin/make2scons and run scons install.
If scons was detected during the compilation of Sherpa, also makelibs uses
scons
per default (can be forced to use autotools
by
./makelibs -s.
Afterwards Sherpa can be restarted using the same command as before. In this run (the generation run) the cross sections of the hard processes are evaluated. Simultaneously the integration over phase space is optimized to arrive at an efficient event generation.
To determine the total cross section, in particular in the context of multijet merging with Sherpa, the final output of the event generation run should be used, e.g.
+-----------------------------------------------------+ | | | Total XS is 1612.17 pb +- ( 8.48908 pb = 0.52 % ) | | | +-----------------------------------------------------+
Note that the Monte Carlo error quoted for the total cross section is determined during event generation. It, therefore, might differ substantially from the errors quoted during the integration step, and it can be reduced simply by generating more events.
In contrast to plain fixed order results, Sherpa’s total cross section in multijet merging setups (MEPS, MENLOPS, MEPS@NLO) is composed of values from various fixed order processes, namely those which are combined by applying the multijet merging, see Multijet merged event generation with Sherpa. In this context, it is important to note:
The higher multiplicity tree-level cross sections determined during the integration step are meaningless by themselves, only the inclusive cross section printed at the end of the event generation run is to be used.
Sherpa total cross sections have leading order accuracy when the generator is run in LO merging mode (MEPS), in NLO merging (MENLOPS, MEPS@NLO) mode they have NLO accuracy.
To calculate the expectation value of an observable defined through a series of cuts and requirements each event produced by Sherpa has to be evaluated whether it meets the required criteria. The expectation value is then given by
<O> = 1/N_trial * \sum_i^n w_i(\Phi_i) O(\Phi_i) .
Therein the w_i(\Phi_i)
are the weight of the event with the phase
space configuration \Phi_i
and O(\Phi_i)
is the value of
the observable at this point. N_trial = \sum_i^n n_trial,i
is the sum
of number of trials n_trial,i
of all events. A good cross check is
to reproduce the inclusive cross section as quoted by Sherpa (see above).
In case of unweighted events one might want to rescale the uniform
event weight to unity using w_norm
. The above equation then reads
<O> = w_norm/N_trial * \sum_i^n w_i(\Phi_i)/w_norm O(\Phi_i) .
wherein w_i(\Phi_i)/w_norm = 1
, ie. the sum simply counts
how many events pass the observable’s selection criteria. If however,
PartiallyUnweighted
event weights or Enhance_Factor
or
Enhance_Observable
are used, this is no longer the case and the
full form needs to be used.
All required quantities, w_i
, w_norm
and n_trial,i
,
accompany each event and are written e.g. into the HepMC output
(cf. Event output formats).
The available command line options for Sherpa.
Read input from file ‘<file>’.
Read input file from path ‘<path>’.
Set Sherpa library path to ‘<path>’, see SHERPA_CPP_PATH.
Set number of events to generate ‘<events>’, see EVENTS.
Set the event type to ‘<events>’, see EVENT_TYPE.
Set the result directory to ‘<results>’, see RESULT_DIRECTORY.
Set the seed of the random number generator to ‘<seed>’, see RANDOM_SEED.
Set the matrix element generator list to ‘<generators>’, see ME_SIGNAL_GENERATOR.
Set the event generation mode to ‘<mode>’, see EVENT_GENERATION_MODE.
Set the parton shower generator to ‘<generator>’, see SHOWER_GENERATOR.
Set the fragmentation module to ‘<module>’, see Fragmentation.
Set the hadron decay module to ‘<module>’, see Hadron decays.
Set the analysis handler list to ‘<analyses>’, see ANALYSIS.
Set the analysis output path to ‘<path>’, see ANALYSIS_OUTPUT.
Set general output level ‘<level>’, see OUTPUT.
Set output level for event generation ‘<level>’, see OUTPUT.
Set log file name ‘<logfile>’, see LOG_FILE.
Do not create result directory, see RESULT_DIRECTORY.
Switch to non-batch mode, see BATCH_MODE.
Print extended version information at startup.
Print versioning information.
Print a help message.
Set the value of a parameter, see Parameters.
Set the value of a tag, see Tags.
A Sherpa setup is steered by various parameters, associated with the different components of event generation.
These have to be specified in a run-card which by default is named “Run.dat” in the current working directory. If you want to use a different setup directory for your Sherpa run, you have to specify it on the command line as ‘-p <dir>’ or ‘PATH=<dir>’. To read parameters from a run-card with a different name, you may specify ‘-f <file>’ or ‘RUNDATA=<file>’.
Sherpa’s parameters are grouped according to the different aspects of event generation, e.g. the beam parameters in the group ‘(beam)’ and the fragmentation parameters in the group ‘(fragmentation)’. In the run-card this looks like:
(beam){ BEAM_ENERGY_1 = 7000. ... }(beam)
Each of these groups is described in detail in another chapter of this manual, see Parameters.
If such a section or file does not exist in the setup directory, a Sherpa-wide fallback mechanism is employed, searching the file in various locations in the following order (where $SHERPA_DAT_PATH is an optionally set environment variable):
All parameters can be overwritten on the command line, i.e. command-line input has the highest priority. The syntax is
<prefix>/bin/Sherpa KEYWORD1=value1 KEYWORD2=value2 ...
To change, e.g., the default number of events, the corresponding command line reads
<prefix>/bin/Sherpa EVENTS=10000
All over Sherpa, particles are defined by the particle code proposed by the PDG. These codes and the particle properties will be listed during each run with ‘OUTPUT=2’ for the elementary particles and ‘OUTPUT=4’ for the hadrons. In both cases, antiparticles are characterized by a minus sign in front of their code, e.g. a mu- has code ‘13’, while a mu+ has ‘-13’.
All quantities have to be specified in units of GeV and millimeter. The same units apply to all numbers in the event output (momenta, vertex positions). Scattering cross sections are denoted in pico-barn in the output.
There are a few extra features for an easier handling of the parameter file(s), namely global tag replacement, see Tags, and algebra interpretation, see Interpreter.
4.1 Interpreter | How to use the internal interpreter | |
4.2 Tags | How to use tags |
Sherpa has a built-in interpreter for algebraic expressions, like ‘cos(5/180*M_PI)’.
This interpreter is employed when reading integer and floating point numbers from
input files, such that certain parameters can be written in a more convenient fashion.
For example it is possible to specify the factorisation scale as ‘sqr(91.188)’.
There are predefined tags to alleviate the handling
Ludolph’s Number to a precision of 12 digits.
The speed of light in the vacuum.
The total centre of mass energy of the collision.
The expression syntax is in general C-like, except for the extra function ‘sqr’,
which gives the square of its argument. Operator precedence is the same as in C.
The interpreter can handle functions with an arbitrary list of parameters, such as
‘min’ and ‘max’.
The interpreter can be employed to construct arbitrary variables from four momenta,
like e.g. in the context of a parton level selector, see Selectors.
The corresponding functions are
The invariant mass of v in GeV.
The invariant mass squared of v in GeV^2.
The transverse momentum of v in GeV.
The transverse momentum squared of v in GeV^2.
The transverse mass of v in GeV.
The transverse mass squared of v in GeV^2.
The polar angle of v in radians.
The pseudorapidity of v.
The rapidity of v.
The azimuthal angle of v in radians.
The i’th component of the vector v. i=0 is the energy/time component, i=1, 2, and 3 are the x, y, and z components.
The relative transverse momentum between v1 and v2 in GeV.
The relative angle between v1 and v2 in radians.
The pseudo-rapidity difference between v1 and v2.
The rapidity difference between v1 and v2.
The relative polar angle between v1 and v2 in radians.
Tag replacement in Sherpa is performed through the data reading routines, which means that it can be performed for virtually all inputs. Specifying a tag on the command line using the syntax ‘<Tag>:=<Value>’ will replace every occurrence of ‘<Tag>’ in all files during read-in. An example tag definition could read
<prefix>/bin/Sherpa QCUT:=20 NJET:=3
and then be used in the (me) and (processes) sections like
(me){ RESULT_DIRECTORY Result_QCUT; }(me) (processes){ Process 93 93 -> 11 -11 93{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); End process; }(processes)
A Sherpa setup is steered by various parameters, associated with the different components of event generation. These are set in Sherpa’s run-card, see Input structure for more details. Tag replacements may be performed in all inputs, see Tags.
5.1 Run parameters | List of general parameters | |
5.2 Beam parameters | List of beam parameters | |
5.3 ISR parameters | List of initial state radiation parameters | |
5.4 Models | Interaction models for the hard process | |
5.5 Matrix elements | Matrix element related settings | |
5.6 Processes | Syntax of the process setup | |
5.7 Selectors | Syntax of parton level cuts | |
5.8 Integration | List of integration parameters | |
5.9 Hard decays | List of paramters to steer hard/inclusive decays | |
5.10 Parton showers | List of shower parameters | |
5.11 Multiple interactions | List of multiple parton interaction parameters | |
5.12 Hadronization | List of hadronization parameters | |
5.13 QED corrections | List of QED correction parameters | |
5.14 Minimum bias events | List of minimum bias simulation parameters |
The following parameters describe general run information. They may be set in the (run)
section of the run-card, see Input structure.
5.1.1 EVENTS | Number of events to generate. | |
5.1.2 EVENT_TYPE | Type of events to generate. | |
5.1.3 SHERPA_VERSION | Sherpa version that can run this run card. | |
5.1.4 TUNE | Parameter tunes. | |
5.1.5 OUTPUT | Screen output level. | |
5.1.6 LOG_FILE | Log file. | |
5.1.7 RANDOM_SEED | Seed for random number generator. | |
5.1.8 EVENT_SEED_MODE | Setting predefined seeds. | |
5.1.9 ANALYSIS | Switch internal analysis on or off. | |
5.1.10 ANALYSIS_OUTPUT | Directory for generated analysis histogram files. | |
5.1.11 TIMEOUT | Run time limitation. | |
5.1.12 RLIMIT_AS | Memory limitation and leak detection. | |
5.1.13 BATCH_MODE | Batch mode settings. | |
5.1.14 NUM_ACCURACY | Accuracy for gauge tests. | |
5.1.15 SHERPA_CPP_PATH | The C++ code generation path. | |
5.1.16 SHERPA_LIB_PATH | The runtime library path. | |
5.1.17 Event output formats | Event output in different formats. | |
5.1.18 Scale and PDF variations | On-the-fly scale and PDF variations. | |
5.1.19 MPI parallelization | MPI parallelization with Sherpa. |
This parameter specifies the number of events to be generated.
It can alternatively be set on the command line through option
‘-e’, see Command line options.
This parameter specifies the kind of events to be generated. It can alternatively be set on the command line through option ‘-t’, see Command line options.
StandardPerturbative
, which will
generate a hard event through exact matrix elements matched and/or
merged with the paerton shower, eventually including hadronization,
hadron decays, etc..
Alternatively there are two more specialised modes, namely:
MinimumBias
, which generates minimum bias events through the
SHRIMPS model implemented in Sherpa, see Minimum bias events
HadronDecay
, which allows to simulate the decays of a specific
hadron.
This parameter ties a run card to a specific Sherpa version, e.g.
2.2.0
. If two parameters are given they are interpreted as
a range of Sherpa versions.
This parameter specifies which tune is to be used. Setting different tunes using this parameter ensures, that consistent settings are employed. This affects mostly Multiple interactions and Intrinsic Transverse Momentum parameters. Possible values are:
None
The current version does not include alternative tunes.
This parameter specifies the screen output level (verbosity) of the program.
If you are looking for event file output options please refer to section
Event output formats.
It can alternatively be set on the command line through option
‘-O’, see Command line options. A different output level can be
specified for the event generation step through ‘EVT_OUTPUT’
or command line option ‘-o’, see Command line options
The value can be any sum of the following:
E.g. ‘OUTPUT=3’ would display information, events and errors.
This parameter specifies the log file. If set, the standard output from Sherpa is written to the specified file, but output from child processes is not redirected. This option is particularly useful to produce clean log files when running the code in MPI mode, see MPI parallelization. A file name can alternatively be specified on the command line through option ‘-l’, see Command line options.
Sherpa uses different random-number generators. The default is the Ran3 generator described in [ISBN-10:0521880688]. Alternatively, a combination of George Marsaglias KISS and SWB [Ann.Appl.Probab.1,3(1991)462] can be employed, see this website. The integer-valued seeds of the generators are specified by ‘RANDOM_SEED=A .. D’. They can also be set directly using ‘RANDOM_SEED1=A’ through ‘RANDOM_SEED4=D’. The Ran3 generator takes only one argument. This value can also be set using the command line option ‘-R’, see Command line options.
The tag ‘EVENT_SEED_MODE’ can be used to enforce the same seeds in different runs of the generator. When set to 1, existing random seed files are read and the seed is set to the next available value in the file before each event. When set to 2, seed files are written to disk. These files are gzip compressed, if Sherpa was compiled with option ‘--enable-gzip’. When set to 3, Sherpa uses an internal bookkeeping mechanism to advance to the next predefined seed. No seed files are written out or read in.
Analysis routines can be switched on or off by setting the ANALYSIS flag. The default is no analysis, corresponding to option ‘0’. This parameter can also be specified on the command line using option ‘-a’, see Command line options.
The following analysis handlers are currently available
Sherpa’s internal analysis handler.
To use this option, the package must be configured with option ‘--enable-analysis’.
An output directory can be specified using ANALYSIS_OUTPUT.
The Rivet package, see Rivet Website.
To enable it, Rivet and HepMC have to be installed and Sherpa must be configured
as described in Rivet analyses.
The HZTool package, see HZTool Website.
To enable it, HZTool and CERNLIB have to be installed and Sherpa must be configured
as described in HZTool analyses.
Multiple options can be combined using a comma, e.g. ‘ANALYSIS=Internal,Rivet’.
Name of the directory for histogram files when using the internal analysis and name of the Aida file when using Rivet, see ANALYSIS. The directory / file will be created w.r.t. the working directory. The default value is ‘Analysis/’. This parameter can also be specified on the command line using option ‘-A’, see Command line options.
A run time limitation can be given in user CPU seconds through TIMEOUT. This option is of some relevance when running SHERPA on a batch system. Since in many cases jobs are just terminated, this allows to interrupt a run, to store all relevant information and to restart it without any loss. This is particularly useful when carrying out long integrations. Alternatively, setting the TIMEOUT variable to -1, which is the default setting, translates into having no run time limitation at all. The unit is seconds.
A memory limitation can be given to prevent Sherpa to crash the system it is
running on as it continues to build up matrix elements and loads additional
libraries at run time. Per default the maximum RAM of the system is determined
and set as the memory limit. This can be changed by giving
‘RLIMIT_AS=<size>’ where the size is given in the format 500 MB
,
4 GB
, or 10 %
. The space between number and unit is mandatory.
When running with MPI parallelization it might be necessary to divide
the total maximum by the number of cores. This can be done by setting
RLIMIT_BY_CPU=1
.
Sherpa checks for memory leaks during integration and event generation.
If the allocated memory after start of integration or event generation exceeds
the parameter ‘MEMLEAK_WARNING_THRESHOLD’, a warning is printed.
Like ‘RLIMIT_AS’, ‘MEMLEAK_WARNING_THRESHOLD’ can be set
using units. However, no spaces are allowed between the number and the unit.
The warning threshold defaults to 16MB
.
Whether or not to run Sherpa in batch mode. The default is ‘1’, meaning Sherpa does not attempt to save runtime information when catching a signal or an exception. On the contrary, if option ‘0’ is used, Sherpa will store potential integration information and analysis results, once the run is terminated abnormally. All possible settings are:
EVENT_DISPLAY_INTERVAL
.
The settings are additive such that multiple settings can be employed at the same time.
Note that when running the code on a cluster or in a grid environment, BATCH_MODE should always contain setting 1 (i.e. BATCH_MODE=[1|3|5|7]).
The command line option ‘-b’ should therefore not be used in this case, see Command line options.
The targeted numerical accuracy can be specified through NUM ACCURACY, e.g. for comparing two numbers. This might have to be reduced if gauge tests fail for numerical reasons.
The path in which Sherpa will eventually store dynamically created C++ source code. If not specified otherwise, sets ‘SHERPA_LIB_PATH’ to ‘$SHERPA_CPP_PATH/Process/lib’. This value can also be set using the command line option ‘-L’, see Command line options.
The path in which Sherpa looks for dynamically linked libraries from previously created C++ source code, cf. SHERPA_CPP_PATH.
Sherpa provides the possibility to output events in various formats, e.g. the HepEVT common block structure or the HepMC format. The authors of Sherpa assume that the user is sufficiently acquainted with these formats when selecting them.
If the events are to be written to file, the parameter ‘EVENT_OUTPUT’
must be specified together with a file name. An example would be
EVENT_OUTPUT=HepMC_GenEvent[MyFile]
, where MyFile
stands
for the desired file base name. The following formats are currently available:
Generates output in HepMC::IO_GenEvent format. The HepMC::GenEvent::m_weights
weight vector stores the following items: [0]
event weight, [1]
combined matrix element and PDF weight (missing only phase space weight
information, thus directly suitable for evaluating the matrix element value of
the given configuration), [2]
event weight
normalisation (in case of unweighted events event weights of ~ +/-1
can be obtained by (event weight)/(event weight normalisation)), and
[3]
number of trials. The total cross section of the simulated event sample
can be computed as the sum of event weights divided by the sum of the number of trials.
This value must agree with the total cross section quoted by Sherpa at the end of
the event generation run, and it can serve as a cross-check on the consistency
of the HepMC event file. Note that Sherpa conforms to the Les Houches 2013
suggestion (http://phystev.in2p3.fr/wiki/2013:groups:tools:hepmc)
of indicating interaction types through the GenVertex type-flag. Multiple
event weights can also be enabled with HepMC versions >2.06, cf.
Scale and PDF variations. The following additional customisations
can be used
HEPMC_USE_NAMED_WEIGHTS=<0|1>
Enable filling weights with an associated name. The nominal event weight
has the key Weight
. MEWeight
, WeightNormalisation
and
NTrials
provide additional information for each event as described
above. Needs HepMC version >2.06.
HEPMC_EXTENDED_WEIGHTS=<0|1>
Write additional event weight information needed for a posteriori reweighting
into the WeightContainer, cf. A posteriori scale and PDF variations using the HepMC GenEvent Output. Necessitates
the use of HEPMC_USE_NAMED_WEIGHTS
.
HEPMC_TREE_LIKE=<0|1>
Force the event record to be stricly tree-like. Please note that this removes
some information from the matrix-element-parton-shower interplay which would
be otherwise stored.
Generates output in HepMC::IO_GenEvent format, however, only incoming beams and
outgoing particles are stored. Intermediate and decayed particles are not
listed. The event weights stored as the same as above, and
HEPMC_USE_NAMED_WEIGHTS
and HEPMC_EXTENDED_WEIGHTS
can be used to
customise.
Generates output using HepMC3 library. The format of the output is set with HEPMC3_IO_TYPE=<0|1|2|3|4>
tag.
The default value is 0 and corresponds to ASCII GenEvent. Other available options are
1: HepEvt 2: ROOT file with every event written as an object of class GenEvent. 3: ROOT file with GenEvent objects writen into TTree.
Otherwise similar to HepMC_GenEvent
.
Generates output in Root format, which can be passed to Delphes for analyses. Input events are taken from the HepMC interface. Storage space can be reduced by up to 50% compared to gzip compressed HepMC. This output format is available only if Sherpa was configured and installed with options ‘--enable-root’ and ‘--enable-delphes=/path/to/delphes’.
Generates output in Root format, which can be passed to Delphes for analyses. Only incoming beams and outgoing particles are stored.
Generates output in StdHEP format, which can be passed to PGS for analyses. This output format is available only if Sherpa was configured and installed with options ‘--enable-hepevtsize=4000’ and ‘--enable-pgs=/path/to/pgs’. Please refer to the PGS documentation for how to pass StdHEP event files on to PGS. If you are using the LHC olympics executeable, you may run ‘./olympics --stdhep events.lhe <other options>’.
Generates output in StdHEP format, which can be passed to PGS for analyses. Event weights in the HEPEV4 common block are stored in the event file.
Generates output in HepEvt format.
Generates output in Les Houches Event File format. This output format is
intended for output of matrix element configurations only. Since the
format requires PDF information to be written out in the outdated
PDFLIB/LHAGLUE enumeration format this is only available automatically if
LHAPDF is used, the identification numbers otherwise have to be given
explicitly via LHEF_PDF_NUMBER
(LHEF_PDF_NUMBER_1
and
LHEF_PDF_NUMBER_2
if both beams carry different structure functions).
This format currently outputs matrix element information only, no information
about the large-Nc colour flow is given as the LHEF output format is not
suited to communicate enough information for meaningful parton showering
on top of multiparton final states.
Generates output in ROOT ntuple format for NLO event generation only.
For details on the ntuple format, see A posteriori scale and PDF variations using the ROOT NTuple Output.
This output option is available only if Sherpa was linked to ROOT during
installation by using the configure option --enable-root=/path/to/root
.
ROOT ntuples can be read back into Sherpa and analyzed using the option
‘EVENT_INPUT’. This feature is described in Production of NTuples.
The output can be further customized using the following options:
Number of events per file (default: unlimited).
File size per NTuple file (default: unlimited). This option is deprecated. It may lead to errors in the subsequent processing of NTuple files. Please use ‘FILE_SIZE’ instead.
Directory where the files will be stored.
Steers the precision of all numbers written to file.
For all output formats except ROOT and Delphes, events can be written directly to gzipped files instead of plain text. The option ‘--enable-gzip’ must be given during installation to enable this feature.
Sherpa can compute alternative event weights for different scale and PDF choices on-the-fly, resulting in alternative weights for the generated event. The can be evoked with the following syntax
SCALE_VARIATIONS <muR-fac-1>,<muF-fac-1>[,<PDF-1>[,<associated-contrib-1>]] <muR-fac-1>,<muF-fac-1>[,<PDF-1>[,<associated-contrib-1>]] ...
The key word SCALE_VARIATIONS
takes a space separated list of
variation factors for the nominal renormalisation and factorisation scale,
an associated PDF set and associated approximate NLO EW and sub-leading order
contributions. Any set present in any of the PDF library interfaces
loaded through PDF_LIBRARY
can be used. If no PDF set is given it
defaults to the nominal one. Specific PDF members can be
specified by appending the PDF set name with /<member-id>
. The
short-hand appendix [all]
will provide the variations for all
members of the given set (only works with LHAPDF6 sets or the internal default
set). Please note: scales are, as always in Sherpa, given in their quadratic
form. Thus, a variation of factor 4 of the squared scale [GeV^2] means a
variation of factor 2 on the scale itself [GeV].
PDF variations on their own can also be invoked by giving the list of
PDF sets to be reweighted to to PDF_VARIATIONS
.
Thus, a complete variation using the PDF4LHC convention would read
SCALE_VARIATIONS 0.25,0.25 0.25,1. 1.,0.25 1.,1. 1.,4. 4.,1. 4.,4.; PDF_VARIATIONS CT10nlo[all] MMHT2014nlo68cl[all] NNPDF30_nlo_as_0118[all];
Please note, this syntax will create 7+53+51+101=212 additional weights for each event.
Similarly, the associated NLO EW and sub-leading order contributions can be included orthogonally to scale and PDF variations through
ASSOCIATED_CONTRIBUTIONS_VARIATIONS EW EW|LO1 EW|LO1|LO2 EW|LO1|LO2|LO3;
The additional event weights can then be written into the event output.
However, this is currently only supported for HepMC_GenEvent
and
HepMC_Short
with versions >2.06 and HEPMC_USE_NAMED_WEIGHTS=1
.
The alternative event weights follow the Les Houches naming convention
for such variations, ie. they are named MUR<fac>_MUF<fac>_PDF<id>
.
In case associated NLO EW and sub-leading order contributions are used,
this convention is extended to MUR<fac>_MUF<fac>_PDF<id>_ASS<contrib>
for an additive combination and MUR<fac>_MUF<fac>_PDF<id>_MULTIASS<contrib>
for a multiplicative one.
When using Sherpa’s interface to Rivet, Rivet analyses, separate
instances of Rivet, one for each alternative event weight in addition to
the nominal one, are instantiated leading to one set of histograms each.
They are again named using the MUR<fac>_MUF<fac>_PDF<id>
convention.
The user must also be aware that, of course, the cross section of the event sample, changes when using an alternative event weight as compared to the nominal one. Any histograming therefore has to account for this and recompute the total cross section as the sum of weights devided by the number of trials, cf. Cross section determination.
The on-the-fly reweighting works for all event generation modes (weighted or
(partially) unweighted) and all calculation types (LO, LOPS, NLO, NLOPS,
MEPS@LO, MEPS@NLO and MENLOPS).
However, the reweighting of parton shower emissions has to be enabled explicitly,
using CSS_REWEIGHT=1
. This should work out of the box for both scale
and PDF variations. If numerical issues are encountered, one can try to
increase ‘CSS_REWEIGHT_SCALE_CUTOFF’ (default: 5).
This disables shower variations for emissions at scales below the value. An
improved accuracy for shower variations at very low scales can be achieved by
using CSS_ALPHAS_FREEZE_MODE=1
, see CS Shower options.
An additional safeguard against rare spuriously large shower variation
weights is implemented as CSS_MAX_REWEIGHT_FACTOR
(default: 1e3).
Any variation weights accumulated during an event and larger than this factor
will be ignored and reset to 1.
MPI parallelization in Sherpa can be enabled using the configuration option ‘--enable-mpi’. Sherpa supports OpenMPI and MPICH2 . For detailed instructions on how to run a parallel program, please refer to the documentation of your local cluster resources or the many excellent introductions on the internet. MPI parallelization is mainly intended to speed up the integration process, as event generation can be parallelized trivially by starting multiple instances of Sherpa with different random seed, cf. RANDOM_SEED. However, both the internal analysis module and the Root NTuple writeout can be used with MPI. Note that these require substantial data transfer.
Please note that the process information contained in the Process
directory for both Amegic and Comix needs to be generated without
MPI parallelization first. Therefore, first run
Sherpa -f <run-card> INIT_ONLY=1
and, in case of using Amegic, compile the libraries. Then start your parallized integration, e.g.
mpirun -n <n> Sherpa -f <run-card>
The setup of the colliding beams is covered by the (beam)
section of the steering file or the beam data file Beam.dat
,
respectively, see Input structure. The mandatory settings to be made are
More options related to beamstrahlung and intrinsic transverse momentum can be found in the following subsections.
5.2.1 Beam Spectra | Options related to beamstrahlung | |
5.2.2 Intrinsic Transverse Momentum | Options related to primordial transverse momentum |
If desired, you can also specify spectra for beamstrahlung through
BEAM_SPECTRUM_1
and BEAM_SPECTRUM_2
. The possible values are
Possible values are
The beam energy is unaltered and the beam particles remain unchanged. That is the default and corresponds to ordinary hadron-hadron or lepton-lepton collisions.
This can be used to describe the backscattering of a laser beam off initial leptons. The energy distribution of the emerging photon beams is modelled by the CompAZ parametrization, see [Zar02]. Note that this parametrization is valid only for the proposed TESLA photon collider, as various assumptions about the laser parameters and the initial lepton beam energy have been made. See details below.
This corresponds to a simple light backscattering off the initial lepton beam and produces initial-state photons with a corresponding energy spectrum. See details below.
This enables the equivalent photon approximation for colliding protons, see [Arc08]. The resulting beam particles are photons that follow a dipole form factor parametrization, cf. [Bud74]. The authors would like to thank T. Pierzchala for his help in implementing and testing the corresponding code. See details below.
A user defined spectrum is used to describe the energy spectrum
of the assumed new beam particles. The name of the corresponding
spectrum file needs to be given through the keywords
SPECTRUM_FILE_1
and SPECTRUM_FILE_2
.
The BEAM_SMIN
and BEAM_SMAX
parameters may be used to specify the
minimum/maximum fraction of cms energy
squared after Beamstrahlung. The reference value is the total centre
of mass energy squared of the collision, not the
centre of mass energy after eventual Beamstrahlung.
The parameter can be specified using the internal interpreter, see
Interpreter, e.g. as ‘BEAM_SMIN sqr(20/E_CMS)’.
The energy distribution of the photon beams is modelled by the CompAZ
parametrisation, see [Zar02], with various assumptions
valid only for the proposed TESLA photon collider. The laser energies
can be set by E_LASER_1/2
for the respective beam. P_LASER_1/2
sets their polarisations, defaulting to 0.
. The LASER_MODE
takes the values -1
, 0
, and 1
, defaulting to 0
.
LASER_ANGLES
and LASER_NONLINEARITY
take the values On
and Off
, both defaulting to Off
.
This corresponds to a simple light backscattering off the initial lepton
beam and produces initial-state photons with a corresponding energy spectrum.
It is a special case of the above Laser Backscattering with
LASER_MODE=-1
.
The equivalent photon approximation, cf. [Arc08], [Bud74], has a few free parameters:
Parameter of the EPA spectrum of the respective beam, defaults to 2.
in units of GeV squared.
Infrared regulator to EPA spectrum. Given in GeV, the value must be
between 0.
and 1.
for EPA approximation to hold.
Defaults to 0.
, i.e. the spectrum
has to be regulated by cuts on the observable, cf Selectors.
Form factor model to be used on the respective beam. The options are
0
(pointlike), 1
(homogeneously charged sphere,
2
(gaussian shaped nucleus), and 3
(homogeneously charged
sphere, smoothed at low and high x). Applicable only to heavy ion beams.
Defaults to 0
.
Value of alphaQED to be used in the EPA. Defaults to 0.0072992701
.
This parameter specifies the mean intrinsic transverse
momentum for the first (left) beam in case of hadronic
beams, such as protons.
The default value for protons is 0.8 GeV.
This parameter specifies the mean intrinsic transverse
momentum for the second (right) beam in case of hadronic
beams, such as protons.
The default value for protons is 0.8 GeV.
This parameter specifies the width of the Gaussian distribution
of intrinsic transverse momentum for the first (left) beam in
case of hadronic beams, such as protons.
The default value for protons is 0.8 GeV.
This parameter specifies the width of the Gaussian distribution
of intrinsic transverse momentum for the first (left) beam in
case of hadronic beams, such as protons.
The default value for protons is 0.8 GeV.
If the option ‘BEAM_REMNANTS=0’ is specified, pure parton-level events are simulated, i.e. no beam remnants are generated. Accordingly, partons entering the hard scattering process do not acquire primordial transverse momentum.
The following parameters are used to steer the setup of beam substructure and
initial state radiation (ISR). They may be set in the
(isr)
section of the run-card, see Input structure.
BUNCH_1/BUNCH_2
Specify the PDG ID of the first
(left) and second (right) bunch particle, i.e. the particle after eventual
Beamstrahlung specified through the beam parameters, see Beam parameters.
Per default these are taken to be identical to the parameters
BEAM_1
/BEAM_2
, assuming the default beam spectrum is
Monochromatic. In case the Simple Compton or Laser Backscattering spectra are
enabled the bunch particles would have to be set to 22, the PDG code of the
photon.
ISR_SMIN/ISR_SMAX
This parameter specifies the minimum fraction of cms energy
squared after ISR. The reference value is the total centre
of mass energy squared of the collision, not the
centre of mass energy after eventual Beamstrahlung.
The parameter can be specified using the internal interpreter,
see Interpreter, e.g. as ‘ISR_SMIN=sqr(20/E_CMS)’.
Sherpa provides access to a variety of structure functions. They can be configured with the following parameters.
PDF_LIBRARY
Takes a space separated list of PDF interfaces to load. If the two colliding beams are of different type, e.g. protons and electrons or photons and electrons, it is possible to specify two different PDF libraries using ‘PDF_LIBRARY_1’ and ‘PDF_LIBRARY_2’. The following options are distributed with Sherpa:
LHAPDFSherpa
Use PDF’s from LHAPDF [Wha05]. The interface is only available if Sherpa has been compiled with support for LHAPDF, see Installation.
CT12Sherpa
Built-in library for some PDF sets from the CTEQ collaboration, cf. [Gao13].
CT10Sherpa
Built-in library for some PDF sets from the CTEQ collaboration, cf. [Lai10]. This is the default, if Sherpa has not been compiled with LHAPDF support.
CTEQ6Sherpa
Built-in library for some PDF sets from the CTEQ collaboration, cf. [Nad08].
MSTW08Sherpa
Built-in library for PDF sets from the MSTW group, cf. [Mar09a].
MRST04QEDSherpa
Built-in library for photon PDF sets from the MRST group, cf. [Mar04].
MRST01LOSherpa
Built-in library for the 2001 leading-order PDF set from the MRST group, cf. [Mar01].
MRST99Sherpa
Built-in library for the 1999 PDF sets from the MRST group, cf. [Mar99].
GRVSherpa
PDFESherpa
Built-in library for the electron structure function.
The perturbative order of the fine structure constant can be set using the
parameter ISR_E_ORDER
(default: 1). The
switch ISR_E_SCHEME
allows
to set the scheme of respecting non-leading terms. Possible options are 0
("mixed choice"), 1 ("eta choice"), or 2 ("beta choice", default).
None
No PDF. Fixed beam energy.
Furthermore it is simple to build an external interface to an arbitrary PDF and load that dynamically in the Sherpa run. See External PDF for instructions.
PDF_SET
Specifies the PDF set for hadronic bunch particles. All sets available in the
chosen PDF_LIBRARY
can be figured by running Sherpa with the parameter
SHOW_PDF_SETS=1
, e.g.:
Sherpa PDF_LIBRARY=CTEQ6Sherpa SHOW_PDF_SETS=1
If the two colliding beams are of different type, e.g. protons and electrons or photons and electrons, it is possible to specify two different PDF sets using ‘PDF_SET_1’ and ‘PDF_SET_2’.
PDF_SET_VERSION
This parameter allows to eventually select a specific version (member) within the chosen PDF set. Specifying a negative value, e.g.
PDF_LIBRARY LHAPDFSherpa; PDF_SET NNPDF12_100.LHgrid; PDF_SET_VERSION -100;
results in Sherpa sampling all sets 1..100, which can be used to obtain the averaging required when employing PDF’s from the NNPDF collaboration [Bal08], [Bal09].
The main switch MODEL
in the (run){...}(run)
section of
the run card sets the model that Sherpa uses throughout the simulation
run. The default is ‘SM’, the built-in Standard Model
implementation of Sherpa. For BSM simulations, Sherpa offers an option
to use the Universal FeynRules Output Format (UFO)
[Deg11].
Please note: AMEGIC can only be used for the built-in models (SM and HEFT). For anything else, please use Comix.
5.4.1 Built-in Models | SM and Higgs Effective Theory | |
5.4.2 UFO Model Interface | Generic Interface for BSM models in the UFO format |
5.4.1.1 Standard Model | ||
5.4.1.2 Effective Higgs Couplings | Higgs Effective Coupling |
The SM inputs for the electroweak sector can be given in four different
schemes, that correspond to different choices of which SM physics
parameters are considered fixed and which are derived from the given
quantities. The input schemes are selected through the EW_SCHEME
parameter, whose default is ‘1’. The following options are provided:
0
:
all EW parameters are explicitly given.
Here the W, Z and Higgs masses are taken as inputs, and
the parameters 1/ALPHAQED(0)
, SIN2THETAW
, VEV
and LAMBDA
have to be specified. The fine structure constant
does not run by default. It is evaluated at scale ALPHAQED_DEFAULT_SCALE
,
which defaults to the Z mass squared (note that this scale has to be specified
in GeV squared). The parameters SIN2THETAW
,
VEV
, and LAMBDA
thereby specify the weak mixing angle,
the Higgs field vacuum expectation value, and the Higgs quartic
coupling respectively.
Note that this mode allows to violate the tree-level relations between some of the parameters and can thus not be used with the complex mass scheme (cf. below).
1
:
all EW parameters are calculated from the W, Z and Higgs masses and
1/ALPHAQED(0)
using tree-level relations.
3
:
this choice corresponds to the G_mu-scheme. The EW parameters are
calculated out of the weak gauge boson masses M_W, M_Z, the Higgs
boson mass M_H and the Fermi constant GF
using tree-level relations.
20
:
this scheme uses 1/ALPHAQED(0)
, M_Z, and SIN2THETAW
as inputs
and calculates the dependent quantities from them. In particular, M_W will
be derived from tree-level relations and not match the PDG value.
21
:
this scheme uses GF
, M_Z, and SIN2THETAW
as inputs
and calculates the dependent quantities from them. In particular, M_W will
be derived from tree-level relations and not match the PDG value.
22
:
this scheme uses 1/ALPHAQED(MZ)
(default: 128.802), M_Z, and
SIN2THETAW
(default: 0.23113) as inputs and calculates the dependent
quantities from them. In particular, M_W will be derived from tree-level
relations and not match the PDG value. Schemes 21 and 22 are most suitable
for processes involving Z bosons.
The electro-weak coupling is by default not running. If its running has been
enabled (cf. COUPLINGS), one can specify its value at zero momentum
transfer as input value by 1/ALPHAQED(0)
.
To account for quark mixing the CKM matrix elements have to be assigned.
For this purpose the Wolfenstein parametrization [Wol83] is
employed. The order of expansion in the lambda parameter is defined
through CKMORDER
, with default ‘0’ corresponding to a unit matrix.
The parameter convention for higher expansion terms reads:
CKMORDER = 1
, the CABIBBO
parameter has to be set,
it parametrizes lambda and has the default value ‘0.2272’.
CKMORDER = 2
, in addition the value of A
has to
be set, its default is ‘0.818’.
CKMORDER = 3
, the order lambda^3 expansion, ETA
and RHO
have to be specified. Their default values are ‘0.349’
and ‘0.227’, respectively.
The remaining parameter to fully specify the Standard Model
is the strong coupling constant at the Z-pole, given through
ALPHAS(MZ)
. Its default value is ‘0.118’. If the setup
at hand involves hadron collisions and thus PDFs, the value of the
strong coupling constant is automatically set consistent with the PDF fit
and can not be changed by the user. If Sherpa is compiled with LHAPDF
support, it is also possible to use the alphaS evolution provided
in LHAPDF by specifying USE_PDF_ALPHAS=1
. The perturbative order
of the running of the strong coupling can be set via ORDER_ALPHAS
,
where the default ‘0’ corresponds to one-loop running and
1
,2
,3
to 2,3,4-loops, respectively. If the setup
at hand involves PDFs, this parameter is set consistent with the information
provided by the PDF set.
If unstable particles (e.g. W/Z bosons) appear as intermediate propagators in the process, Sherpa uses the complex mass scheme to construct MEs in a gauge-invariant way. For full consistency with this scheme, by default the dependent EW parameters are also calculated from the complex masses (‘WIDTH_SCHEME=CMS’), yielding complex values e.g. for the weak mixing angle. To keep the parameters real one can set ‘WIDTH_SCHEME=Fixed’. This may spoil gauge invariance though.
With the following switches it is possible to change the properties of all fundamental particles:
MASS[<id>]
Sets the mass (in GeV) of the particle with PDG id ‘<id>’.
Masses of particles and corresponding anti-particles are always set
simultaneously.
For particles with Yukawa couplings, those are enabled/disabled consistent with the
mass (taking into account the MASSIVE flag) by default, but that can be modified
using the ‘YUKAWA[<id>]’ parameter. Note that by default the Yukawa
couplings are treated as running, cf. YUKAWA_MASSES.
MASSIVE[<id>]
Specifies whether the finite mass of particle with PDG id ‘<id>’ is to be considered in matrix-element calculations or not.
WIDTH[<id>]
Sets the width (in GeV) of the particle with PDG id ‘<id>’.
ACTIVE[<id>]
Enables/disables the particle with PDG id ‘<id>’.
STABLE[<id>]
Sets the particle with PDG id ‘<id>’ either stable or unstable according to the following options:
Particle and anti-particle are unstable
Particle and anti-particle are stable
Particle is stable, anti-particle is unstable
Particle is unstable, anti-particle is stable
This option applies to decays of hadrons (cf. Hadron decays) as well as particles produced in the hard scattering (cf. Hard decays). For the latter, alternatively the decays can be specified explicitly in the process setup (see Processes) to avoid the narrow-width approximation.
PRIORITY[<id>]
Allows to overwrite the default automatic flavour sorting in a process by specifying a priority for the given flavour. This way one can identify certain particles which are part of a container (e.g. massless b-quarks), such that their position can be used reliably in selectors and scale setters.
Note: To set properties of hadrons, you can use the same switches (except for
MASSIVE
) in the fragmentation section, see Hadronization.
The HEFT describes the effective coupling of gluons and photons to Higgs bosons
via a top-quark loop, and a W-boson loop in case of photons. This supplement
to the Standard Model can be invoked by specifying MODEL = HEFT
in
the (model)
section of the run card.
The effective coupling of gluons to the Higgs boson, g_ggH, can be
calculated either for a finite top-quark mass or in the limit of an
infinitely heavy top using the switch FINITE_TOP_MASS=1
or
FINITE_TOP_MASS=0
, respectively. Similarily, the
photon-photon-Higgs coupling, g_ppH, can be calculated both for finite
top and/or W masses or in the infinite mass limit using the switches
FINITE_TOP_MASS
and FINITE_W_MASS
. The default choice for
both is the infinite mass limit in either case. Note that these switches
affect only the calculation of the value of the effective coupling
constants. Please refer to the example setup H+jets production in gluon fusion with finite top mass effects
for information on how to include finite top quark mass effects on a
differential level.
Either one of these couplings can be switched off using the
DEACTIVATE_GGH=1
and DEACTIVATE_PPH=1
switches.
Both default to 0.
To use a model generated by the FeynRules package [Chr08],[Chr09], the model must be made available to Sherpa by running
<prefix>/bin/Sherpa-generate-model <path-to-ufo-model>
where <path-to-ufo-model> specifies the location of the directory where the UFO model can be found. UFO support must be enabled using the ‘--enable-ufo’ option of the configure script, as described in Installation. This requires Python version 2.6 or later and an installation of SCons.
The above command generates source code for the UFO model, compiles it, and installs the corresponding library, making it available for event generation. Python, SCons, and the UFO model directory are not required for event generation once the above command has finished. Note that the installation directory for the created library and the paths to Sherpa libraries and headers are predetermined automatically durin the installation of Sherpa. If the Sherpa installation is moved afterwards or if the user does not have the necessary permissions to install the new library in the predetermined location, these paths can be set manually. Pleas run
<prefix>/bin/Sherpa-generate-model --help
for information on the relevan command line arguments.
An example run card will be written to the working directory while the
model is generated with Sherpa-generate-model
. This run card
shows the syntax for the respective model parameters and can be used as
a template. It is also possible to use an external parameter card by
specifying the path to the card with the switch ‘UFO_PARAM_CARD’
in the (run){...}(run)
section of the run card. Relative and
absolute file paths are allowed. This option allows it to use the native
UFO parameter cards, as used by MadGraph for example.
Note that the use of the SM switches ‘MASS[<id>]’,
‘MASSIVE[<id>]’, ‘WIDTH[<id>]’, and ‘STABLE[<id>]’
is discouraged when using UFO models as the UFO model completely defines
all particle properties and their relation to the independent model
parameters. These model parameters should be set using the standard UFO
parameter syntax as shown in the example run card generated by the
Sherpa-generate-model
command.
For parts of the simulation other than the hard process (hadronization, underlying event, running of the SM couplings) Sherpa uses internal default values for the Standard Model fermion masses if they are massless in the UFO model. This is necessary for a meaningful simulation. In the hard process however, the UFO model masses are always respected.
For an example UFO setup, see Event generation in the MSSM using UFO. For more details on the Sherpa interface to FeynRules please consult [Chr09],[Hoe14c].
Please note that AMEGIC can only be used for the built-in models (SM and HEFT). The use of UFO models is only supported by Comix.
The setup of matrix elements is covered by the ‘(me)’ section of the steering file or the ME data file ‘ME.dat’, respectively. There are no mandatory settings to be made.
The following parameters are used to steer the matrix element setup.
5.5.1 ME_SIGNAL_GENERATOR | The matrix element generator(s). | |
5.5.2 RESULT_DIRECTORY | The directory to store integration results. | |
5.5.3 EVENT_GENERATION_MODE | The event generation mode. | |
5.5.4 SCALES | How to compute scales. | |
5.5.5 COUPLING_SCHEME | Running of SM gauge couplings. | |
5.5.6 COUPLINGS | How to evaluate couplings. | |
5.5.7 KFACTOR | Whether and how to apply a K-factor. | |
5.5.8 YUKAWA_MASSES | Running of Yukawa couplings. | |
5.5.9 Dipole subtraction | Parameters for calculations with dipole subtraction. |
The list of matrix element generators to be employed during the run. When setting up hard processes from the ‘(processes)’ section of the input file (see Processes), Sherpa calls these generators in order to check whether either one is capable of generating the corresponding matrix element. This parameter can also be set on the command line using option ‘-m’, see Command line options.
The built-in generators are
Simple matrix element library, implementing a variety of 2->2 processes.
The AMEGIC++ generator published under [Kra01]
It is possible to employ an external matrix element generator within Sherpa. For advice on this topic please contact the authors, Authors.
This parameter specifies the name of the directory which is used by Sherpa to store integration results and phasespace mappings. The default is ‘Results/’. It can also be set using the command line parameter ‘-r’, see Command line options. The directory will be created automatically, unless the option ‘GENERATE_RESULT_DIRECTORY=0’ is specified. Its location is relative to a potentially specified input path, see Command line options.
This parameter specifies the event generation mode. It can also be set on the command line using option ‘-w’, see Command line options. The three possible options are:
(shortcut ‘W’) Weighted events.
(shortcut ‘U’)
Events with constant weight, which have been unweighted
against the maximum determined during phase space integration.
In case of rare events with w > max
the parton level event
is repeated floor(w/max)
times and the remainder is unweighted.
While this leads to unity weights for all events it can be misleading since
the statistical impact of a high-weight event is not accounted for. In the
extreme case this can lead to a high-weight event looking like a significant
bump in distributions (in particular after the effects of the parton shower).
(shortcut ‘P’)
Identical to ‘Unweighted’ events, but if the weight exceeds the maximum
determined during the phase space integration, the event will carry a weight
of w/max
to correct for that. This is the recommended option to
generate unweighted events and the default setting in Sherpa.
For ‘Unweighted’ and ‘PartiallyUnweighted’ events the user may
set ‘OVERWEIGHT_THRESHOLD=<maxweight>’ to cap the maximal over-weight
w/max
taken into account.
This parameter specifies how to compute the renormalization and factorization scale and potential additional scales.
Sherpa provides several built-in scale setting schemes. For each scheme the scales are then set using expressions understood by the Interpreter. Each scale setter’s syntax is
SCALES <scale-setter>{<scale-definition>}
to define a single scale for both the factorisation and renormalisation scale. They can be set to different values using
SCALES <scale-setter>{<fac-scale-definition>}{<ren-scale-definition>}
In parton shower matched/merged calculations a third perturbative scale is present, the resummation or parton shower starting scale. It can be set by the user in the third argument like
SCALES <scale-setter>{<fac-scale-definition>}{<ren-scale-definition>}{<res-scale-definition>}
If the final state of your hard scattering process contains QCD partons,
their kinematics fix the resummation scale for subsequent emissions
(cf. the description of the ‘METS’ scale setter below). If
instead you want to specify your own resummation scale also in such a
case, you have to set CSS_RESPECT_Q2=1
and use the third argument
to specify your resummation scale as above.
Note: for all scales their squares have to be given. See Predefined scale tags for some predefined scale tags.
More than three scales can be set as well to be subsequently used, e.g. by different couplings, see COUPLINGS.
The scale setter options which are currently available are
The variable scale setter is the simplest scale setter available. Scales are simply specified by additional parameters in a form which is understood by the internal interpreter, see Interpreter. If, for example the invariant mass of the lepton pair in Drell-Yan production is the desired scale, the corresponding setup reads
SCALES VAR{Abs2(p[2]+p[3])}
Renormalization and factorization scales can be chosen differently. For example in Drell-Yan + jet production one could set
SCALES VAR{Abs2(p[2]+p[3])}{MPerp2(p[2]+p[3])}
If FastJet is enabled by including
--enable-fastjet=/path/to/fastjet
in the configure
options,
this scale setter can be used to set a scale based on jet-, rather than
parton-momenta.
The final state parton configuration is first clustered using FastJet and
resulting jet momenta are then added back to the list of non strongly
interacting particles. The numbering of momenta therefore stays effectively
the same as in standard Sherpa, except that final state partons are replaced
with jets, if applicable (a parton might not pass the jet criteria and get
"lost"). In particular, the indices of the initial state partons and all EW
particles are uneffected. Jet momenta can then be accessed as described in
Predefined scale tags through the identifiers p[i]
,
and the nodal values of the clustering sequence can be used through MU_n2
.
The syntax is
SCALES FASTJET[<jet-algo-parameter>]{<scale-definition>}
Therein the parameters of the jet algorithm to be used to define the jets are given as a comma separated list of
A:kt,antikt,cambridge,siscone
(default antikt
)
PT:<min-pt>
, ET:<min-et>
,
Eta:<max-eta>
, Y:<max-rap>
(otherwise unrestricted)
R:<rad-param>
(default 0.4
)
f:<f-param>
(default 0.75
)
C:E,pt,pt2,Et,Et2,BIpt,BIpt2
(default E
)
B:0,1,2
(default 0
)
This parameter, if specified different from its default 0, allows
to use b-tagged jets only, based on the parton-level constituents of the jets.
There are two options: With B:1
both b and anti-b quarks are
counted equally towards b-jets, while for B:2
they are added with a
relative sign as constituents, i.e. a jet containing b and anti-b is not tagged.
M:0,1
(default 1
)
It is possible to specify multiple scale definition blocks, each enclosed
in curly brackets. The scale setting mode parameter then determines, how
those are interpreted:
In the M:0
case, they specify factorisation, renormalisation and
resummation scale separately in that order.
In the M:1
case, the n
given scales are used to calculate a
mean scale such that alpha_s^n(mu_mean)=alpha_s(mu_1)...alpha_s(mu_n)
This scale is then used for factorisation, renormalisation and resummation
scale.
Consider the example of lepton pair production in association with jets. The following scale setter
SCALES FASTJET[A:kt,PT:10,R:0.4,M:0]{sqrt(PPerp2(p[4])*PPerp2(p[5]))}
reconstructs jets using the kt-algorithm with R=0.4 and a minimum transverse
momentum of 10 GeV. The scale of all strong couplings is then set to the
geometric mean of the hardest and second hardest jet. Note M:0
.
Similarly, in processes with multiple strong couplings, their renormalisation scales can be set to different values, e.g.
SCALES FASTJET[A:kt,PT:10,R:0.4,M:1]{PPerp2(p[4])}{PPerp2(p[5])}
sets the scale of one strong coupling to the transverse momentum of the
hardest jet, and the scale of the second strong coupling to the transverse
momentum of second hardest jet. Note M:1
in this case.
The additional tags MU_22 .. MU_n2 (n=2..njet+1), hold the nodal values of the jet clustering in descending order.
Please note that currently this type of scale setting can only be done within the process block (Processes) and not within the (me) section.
The matrix element is clustered onto a core 2->2 configuration using an
inversion of current parton shower, cf. SHOWER_GENERATOR, recombining
(n+1) particles into n on-shell particles. Their corresponding flavours are
determined using run-time information from the matrix element generator.
It defines the three tags MU_F2
, MU_R2
and MU_Q2
whose values are assigned through this clustering procedure. While
MU_F2
and MU_Q2
are defined as the lowest invariant mass or
negative virtuality in the core process (for core interactions
which are pure QCD processes scales are set to the maximum transverse
mass squared of the outgoing particles), MU_R2
is determined using
this core scale and the individual clustering scales such that
alpha_s(MU_R2)^{n+k} = alpha_s(core-scale)^k alpha_s(kt_1) ... alpha_s(kt_n)
where k is the order in strong coupling of the core process and k is
the number of clusterings, kt_i are the relative transverse momenta
at each clustering.
The tags MU_F2
, MU_R2
and MU_Q2
can then be used
on equal footing with the tags of Predefined scale tags to define
the final scale.
METS
is the default scale scheme in Sherpa, since it is employed
for truncated shower merging, see Multijet merged event generation with Sherpa, both at
leading and next-to-leading order. Thus, Sherpa’s default is
SCALES METS{MU_F2}{MU_R2}{MU_Q2}
As the tags MU_F2
, MU_R2
and MU_Q2
are predefined by
the METS
scale setter, they may be omitted, i.e.
SCALES METS
leads to an identical scale definition.
The METS
scale setter comes in two variants: STRICT_METS
and
LOOSE_METS
. While the former employs the exact inverse of the
parton shower for the clustering procedure, and therefore is rather time
consuming for multiparton final state, the latter is a simplified version
and much faster. Giving METS
as the scale setter results in using
LOOSE_METS
for the integration and STRICT_METS
during event
generation. Giving either STRICT_METS
or LOOSE_METS
as the
scale setter results in using the respective one during both integration
and event generation.
Unordered cluster histories are by default not allowed. Instead, if during clustering a new smaller scale is encountered, the previous maximal scale will be used, or alternatively a user-defined scale specified, e.g.
UNORDERED_SCALE=VAR{H_Tp2/sqr(N_FS-2)}
If instead you want to allow unordered histories you can also enable them with
ALLOW_SCALE_UNORDERING=1
.
Clusterings onto 2->n (n>2) configurations is possible, see METS scale setting with multiparton core processes.
This scheme might be subject to changes to enable further classes of processes for merging in the future and should therefore be seen with care. Integration results might change slightly between different Sherpa versions.
Occasionally, users might encounter the warning message
METS_Scale_Setter::CalculateScale(): No CSS history for '<process name>' in <percentage>% of calls. Set \hat{s}.
As long as the percentage quoted here is not too high, this does not pose a serious problem. The warning occurs when - based on the current colour configuration and matrix element information - no suitable clustering is found by the algorithm. In such cases the scale is set to the invariant mass of the partonic process.
When the flexibility of the ‘VAR’ scale setter above is not sufficient, it is also possible to implement a completely custom scale scheme within Sherpa as C++ class plugin. For details please refer to the Customization section.
There exist a few predefined tags to facilitate commonly used scale choices or easily implement a user defined scale.
Access to the four momentum of the nth particle. The initial state particles
carry n=0 and n=1, the final state momenta start from n=2. Their ordering
is determined by Sherpa’s internal particle ordering and can be read e.g.
from the process names displayed at run time. Please note, that when building
jets out of the final state partons first, e.g. through the FASTJET
scale setter, these parton momenta will be replaced by the jet momenta
ordered in transverse momenta. For example the process u ub -> e- e+ G G
will have the electron and the positron at positions p[2]
and
p[3]
and the gluons on postions p[4]
and p[5]
. However,
when finding jets first, the electrons will still be at p[2]
and
p[3]
while the harder jet will be at p[4]
and the softer one
at p[5]
.
Square of the scalar sum of the transverse momenta of all final state particles.
Square of the scalar sum of the transverse momenta of all final state particles weighted by their rapidity distance from the final state boost vector. Thus, takes the form
H_T^{(Y)} = sum_i pT_i exp [ fac |y-yboost|^exp ]
Typical values to use would by 0.3
and 1
.
Tags holding the values of the factorisation, renormalisation scale and
resummation scale determined through backwards clustering in the
METS
scale setter.
Tags holding the nodal values of the jet clustering in the FASTJET
scale setter, cf. Scale setters.
All of those objects can be operated upon by any operator/function known to the Interpreter.
For next-to-leading order calculations it must be guaranteed that the scale is calculated separately for the real correction and the subtraction terms, such that within the subtraction procedure the same amount is subtracted and added back. Starting from version 1.2.2 this is the case for all scale setters in Sherpa. Also, the definition of the scale must be infrared safe w.r.t. to the radiation of an extra parton. Infrared safe (for QCD-NLO calculations) are:
H_T2
)
Not infrared safe are
Since the total number of partons is different for different pieces of the NLO calculation any explicit reference to a parton momentum will lead to an inconsistent result.
The factorisation and renormalisation scales in the fixed-order matrix elements can be varied separately simply by introducing a prefactor into the scale definition, e.g.
SCALES VAR{0.25*H_T2}{0.25*H_T2}
for setting both the renormalisation and factorisation scales to H_T/2.
Similarly, the starting scale of the parton shower resummation in a ME+PS merged sample can be varied using the METS scale setter’s third argument like:
SCALES METS{MU_F2}{MU_R2}{4.0*MU_Q2}
The METS scale setter stops clustering when no combination is found that corresponds to a parton shower branching, or if two subsequent branchings are unordered in terms of the parton shower evolution parameter. The core scale of the remaining 2->n process then needs to be defined. This is done by specifying a core scale through
CORE_SCALE <core-scale-setter>{<core-fac-scale-definition>}{<core-ren-scale-definition>}{<core-res-scale-definition>}
As always, for scale setters which define MU_F2
, MU_R2
and MU_Q2
the scale definition can be dropped. Possible core
scale setters are
Variable core scale setter. Syntax is identical to variable scale setter.
QCD core scale setter. Scales are set to harmonic mean of s, t and u. Only useful for 2->2 cores as alternatives to the usual core scale of the METS scale setter.
Core scale setter for processes involving top quarks. Implementation details are described in Appendix C of [Hoe13].
Core scale setter for single-top production in association with one jet.
If the W is in the t-channel (s-channel), the squared scales are set to the
Mandelstam variables t=2*p[0]*p[2]
(t=2*p[0]*p[1]
).
The parameter COUPLING_SCHEME
is used to enable the running of the gauge couplings. The
default setting is COUPLING_SCHEME=Running_alpha_S
, assuming only the strong coupling
as running. The QED coupling is considered running as well by setting
COUPLING_SCHEME=Running
. To solely have a running QED coupling set
COUPLING_SCHEME=Running_alpha_QED
. If not considered running the values specified by
ALPHAS(default)
and 1/ALPHAQED(default)
are used, respectively.
Within Sherpa, strong and electroweak couplings can be computed at any scale specified by a scale setter (cf. SCALES). The ‘COUPLINGS’ tag links the argument of a running coupling to one of the respective scales. This is better seen in an example. Assuming the following input
SCALES VAR{...}{PPerp2(p[2])}{Abs2(p[2]+p[3])} COUPLINGS Alpha_QCD 1, Alpha_QED 2
Sherpa will compute any strong couplings at scale one, i.e. ‘PPerp2(p[2])’ and electroweak couplings at scale two, i.e. ‘Abs2(p[2]+p[3])’. Note that counting starts at zero.
This parameter specifies how to evaluate potential K-factors in the hard process. This is equivalent to the ‘COUPLINGS’ specification of Sherpa versions prior to 1.2.2. Currently available options are
No reweighting
Couplings specified by an additional parameter in a form which is understood by the internal interpreter, see Interpreter. The tags Alpha_QCD and Alpha_QED serve as links to the built-in running coupling implementation.
If for example the process ‘g g -> h g’ in effective theory is computed, one could think of evaluating two powers of the strong coupling at the Higgs mass scale and one power at the transverse momentum squared of the gluon. Assuming the Higgs mass to be 120 GeV, the corresponding reweighting would read
SCALES VAR{...}{PPerp2(p[3])} COUPLINGS Alpha_QCD 1 KFACTOR VAR{sqr(Alpha_QCD(sqr(120))/Alpha_QCD(MU_12))}
As can be seen from this example, scales are referred to as MU_<i>2, where <i> is replaced with the appropriate number. Note that counting starts at zero.
It is possible to implement a dedicated K-factor scheme within Sherpa. For advice on this topic please contact the authors, Authors.
This parameter specifies whether the Yukawa couplings are evaluated using
running or fixed quark masses: YUKAWA_MASSES=Running
is the default since
version 1.2.2 while YUKAWA_MASSES=Fixed
was the default until 1.2.1.
This list of parameters can be used to optimize the performance when employing the Catani-Seymour dipole subtraction [Cat96b] as implemented in Amegic [Gle07].
Specifies a dipole cutoff in the nonsingular region [Nag03]. Changing this parameter shifts contributions from the subtracted real correction piece (RS) to the piece including integrated dipole terms (I), while their sum remains constant. This parameter can be used to optimize the integration performance of the individual pieces. Also the average calculation time for the subtracted real correction is reduced with smaller choices of ‘DIPOLE_ALPHA’ due to the (on average) reduced number of contributing dipole terms. For most processes a reasonable choice is between 0.01 and 1 (default). See also Choosing DIPOLE_ALPHA
Specifies the cutoff of real correction terms in the infrared reagion to avoid numerical problems with the subtraction. The default is 1.e-8.
Specifies the number of quark flavours that are produced from gluon splittings. This number must be at least the number of massless flavours (default). If this number is larger than the number of massless quarks the massive dipole subtraction [Cat02] is employed.
Specifies the kappa-parameter in the massive dipole subtraction formalism [Cat02].
The process setup is covered by the ‘(processes)’ section of the steering file or the process data file ‘Processes.dat’, respectively.
The following parameters are used to steer the process setup.
5.6.1 Process | The process setup start tag. | |
5.6.2 Decay | Tag to add an exclusive decay. | |
5.6.3 DecayOS | Tag to add an exclusive on-shell decay. | |
5.6.4 No_Decay | Tag to remove resonant diagrams. | |
5.6.5 Scales | Tag to set a process-specific scale. | |
5.6.6 Couplings | Tag to set process-specific couplings. | |
5.6.7 CKKW | Tag to setup multijet merging. | |
5.6.8 Selector_File | Tag to specify a specific selector file. | |
5.6.9 Order | Tag to fix the coupling order. | |
5.6.10 Max_Order | Tag to fix the maximum coupling order. | |
5.6.11 Min_Order | Tag to fix the minimum coupling order. | |
5.6.12 Min_N_Quarks | Tag to set the minimum number of quarks. | |
5.6.13 Max_N_Quarks | Tag to set the maximum number of quarks. | |
5.6.14 Min_N_TChannels | Tag to request a minimum number of t-channels. | |
5.6.15 Max_N_TChannels | Tag to request a maximum number of t-channels. | |
5.6.16 Print_Graphs | Tag to enable writeout of feynman graphs. | |
5.6.17 Name_Suffix | Tag to set a unique name suffix. | |
5.6.18 Integration_Error | Tag to set a specific integration error. | |
5.6.19 Max_Epsilon | Tag to set a specific epsilon for overweighting. | |
5.6.20 Enhance_Factor | Tag to set an enhance factor. | |
5.6.21 RS_Enhance_Factor | Tag to set an enhance factor for the RS-piece of an MC@NLO process. | |
5.6.22 Enhance_Function | Tag to set an enhance function. | |
5.6.23 Enhance_Observable | Tag to set an enhance observable. | |
5.6.24 NLO_QCD_Mode | Tag to setup QCD NLO processes. | |
5.6.25 NLO_QCD_Part | Tag to refine the setup of QCD NLO processes. | |
5.6.26 NLO_EW_Mode | Tag to setup electroweak NLO processes. | |
5.6.27 NLO_EW_Part | Tag to refine the setup of electroweak NLO processes. | |
5.6.28 Subdivide_Virtual | Tag to split virtual contribution into pieces. | |
5.6.29 ME_Generator | Tag to specifiy the tree ME generator. | |
5.6.30 RS_ME_Generator | Tag to specifiy the real-subtracted ME generator of an MC@NLO process. | |
5.6.31 Loop_Generator | Tag to specifiy the loop ME generator. | |
5.6.32 Associated_Contributions | Tag to specify the associated contributions. | |
5.6.33 Integrator | Tag to specifiy the integrator. | |
5.6.34 PSI_ItMin | Tag to set the number of points per optimization step. | |
5.6.35 RS_PSI_ItMin | Tag to set the number of points per optimization step in real-minus-subtraction parts. | |
5.6.36 End process | The process setup end tag. |
This tag starts the setup of a process or a set of processes with common properties. It must be followed by the specification of the (core) process itself. The setup is completed by the ‘End process’ tag, see End process. The initial and final state particles are specified by their PDG codes, or by particle containers, see Particle containers. Examples are
Sets up a Drell-Yan process group with light quarks in the initial state.
Sets up jet production in e+e- collisions with up to three additional jets.
The syntax for specifying processes is explained in the following sections:
5.6.1.1 PDG codes | ||
5.6.1.2 Particle containers | ||
5.6.1.3 Parentheses | ||
5.6.1.4 Curly brackets |
Initial and final state particles are specified using their PDG codes (cf. PDG). A list of particles with their codes, and some of their properties, is printed at the start of each Sherpa run, when the OUTPUT is set at level ‘2’.
Sherpa contains a set of containers that collect particles with similar properties, namely
90
),
91
),
92
),
93
),
94
).
These containers hold all massless particles and anti-particles
of the denoted type and allow for a more efficient definition of
initial and final states to be considered. The jet container consists
of the gluon and all massless quarks (as set by MASS[..]=0.0
or
MASSIVE[..]=0
). A list of particle containers
is printed at the start of each Sherpa run, when the OUTPUT is set
at level ‘2’.
It is also possible to define a custom particle container using the keyword
PARTICLE_CONTAINER
either on the command line or in the (run)
section of the input file. The container must be given an unassigned particle
ID (kf-code) and its name (freely chosen by you) and content must be specified.
An example would be the collection of all down-type quarks, which could be
declared as
PARTICLE_CONTAINER 98 downs 1 -1 3 -3 5 -5;
Note that, if wanted, you have to add both particles and anti-particles.
The parenthesis notation allows to group a list of processes with different flavor content but similar structure. This is most useful in the context of simulations containing heavy quarks. In a setup with massive b-quarks, for example, the b-quark will not be part of the jets container. In order to include b-associated processes easily, the following can be used:
(run){ ... MASSIVE[5] 1; PARTICLE_CONTAINER 98 B 5 -5; }(run); (processes){ Process 11 -11 -> (93,98) (93,98); ... }(processes);
The curly bracket notation when specifying a process allows up to a certain number of jets to be included in the final state. This is easily seen from an example,
Sets up jet production in e+e- collisions. The matix element final state may be 2, 3, 4 or 5 light partons or gluons.
Specifies the exclusive decay of a particle produced in the matrix element. The virtuality of the decaying particle is sampled according to a Breit-Wigner distribution. An example would be
Process 11 -11 -> 6[a] -6[b] Decay 6[a] -> 5 24[c] Decay -6[b] -> -5 -24[d] Decay 24[c] -> -13 14 Decay -24[d] -> 94 94
Specifies the exclusive decay of a particle produced in the matrix element. The decaying particle is on mass-shell, i.e. a strict narrow-width approximation is used. This tag can be specified alternatively as ‘DecayOS’. An example would be
Process 11 -11 -> 6[a] -6[b] DecayOS 6[a] -> 5 24[c] DecayOS -6[b] -> -5 -24[d] DecayOS 24[c] -> -13 14 DecayOS -24[d] -> 94 94
Remove all diagrams associated with the decay of the given flavours. Serves to avoid resonant contributions in processes like W-associated single-top production. Note that this method breaks gauge invariance! At the moment this flag can only be set for Comix. An example would be
Process 93 93 -> 6[a] -24[b] 93{1} Decay 6[a] -> 5 24[c] DecayOS 24[c] -> -13 14 DecayOS -24[b] -> 11 -12 No_Decay -6
Sets a process-specific scale. For the corresponding syntax see SCALES.
Sets process-specific couplings. For the corresponding syntax see COUPLINGS.
Sets up multijet merging according to [Hoe09]. The additional argument specifies the separation cut in the form (Q_{cut}/E_{cms})^2. It can be given in any form which is understood by the internal interpreter, see Interpreter. Examples are
Sets a process-specific selector file name.
Sets a process-specific coupling order. Orders are counted at the amplitude level. For example, the process 1 -1 -> 2 -2 would have orders (2,0), (1,1) and (0,2). The first number always refers to QCD, the second to electroweak. The third and following numbers are model specific. Half-integer orders are so far supported only by Comix. An asterisk can be used as a wildcard.
Note that for decay chains this setting applies to the full process, see Decay and DecayOS.
Sets a process-specific maximum coupling order. Orders are counted at the amplitude level. For example, the process 1 -1 -> 2 -2 would have orders (2,0), (1,1) and (0,2). The first number always refers to QCD, the second to electroweak. The third and following numbers are model specific. Half-integer orders are so far supported only by Comix.
Note that for decay chains this setting applies to the full process, see Decay and DecayOS.
Sets a process-specific minimum coupling order. Orders are counted at the amplitude level. For example, the process 1 -1 -> 2 -2 would have orders (2,0), (1,1) and (0,2). The first number always refers to QCD, the second to electroweak. The third and following numbers are model specific. Half-integer orders are so far supported only by Comix.
Note that for decay chains this setting applies to the full process, see Decay and DecayOS.
Limits the minimum number of quarks in the process to the given value.
Limits the maximum number of quarks in the process to the given value.
Limits the minimum number of t-channel propagators in the process to the given value.
Limits the maximum number of t-channel propagators in the process to the given value.
Writes out Feynman graphs in LaTeX format. The parameter specifies a directory name in which the diagram information is stored. This directory is created automatically by Sherpa. The LaTeX source files can be compiled using the command
./plot_graphs <graphs directory>
which creates an html page in the graphs directory that can be viewed in a web browser.
Defines a unique name suffix for the process.
Sets a process-specific relative integration error target.
For multijet processes, this parameter can be specified per final state multiplicity. An example would be
Process 93 93 -> 93 93 93{2} Integration_Error 0.02 {3,4}
Here, the integration error target is set to 2% for 2->3 and 2->4 processes.
Sets epsilon for maximum weight reduction. The key idea is to allow weights larger than the maximum during event generation, as long as the fraction of the cross section represented by corresponding events is at most the epsilon factor times the total cross section. In other words, the relative contribution of overweighted events to the inclusive cross section is at most epsilon.
Sets a process specific enhance factor.
For multijet processes, this parameter can be specified per final state multiplicity. An example would be
Process 93 93 -> 93 93 93{2} Enhance_Factor 4 {3} Enhance_Factor 16 {4}
Here, 3-jet processes are enhanced by a factor of 4, 4-jet processes by a factor of 16.
Sets an enhance factor for the RS-piece of an MC@NLO process.
For multijet processes, this parameter can be specified per final state multiplicity. An example would be
Process 93 93 -> 90 91 93{3}; NLO_QCD_Mode MC@NLO {2,3}; RS_Enhance_Factor 10 {2}; RS_Enhance_Factor 20 {3};
Here, the RS-pieces of the MC@NLO subprocesses of the 2 particle final state processes are enhanced by a factor of 10, while those of the 3 particle final state processes are enhanced by a factor of 20.
Specifies a phase-space dependent biasing of parton-level events (before showering). The given parton-level observable defines a multiplicative enhancement on top of the normal matrix element shape. Example:
Process 93 93 -> 11 -11 93{1} Enhance_Function: VAR{PPerp2(p[2]+p[3])/400} {3}
In this example, Z+1-jet events with p_\perp(Z)=20 GeV
and Z+0-jet
events will come with no enhancement, while other Z+1-jet events will be
enhanced with (p_\perp(Z)/20)^2
.
Note: if you would define the enhancement function without the normalisation
to 1/20^2
, the Z+1-jet would come with a significant overall enhancement
compared to the unenhanced Z+0-jet process, which would have a strong impact
on the statistical uncertainty in the Z+0-jet region.
Optionally, a range can be specified over which the multiplicative biasing should be applied. The matching at the range boundaries will be smooth, i.e. the effective enhancement is frozen to its value at the boundaries. Example:
Process 93 93 -> 11 -11 93{1} Enhance_Function: VAR{PPerp2(p[2]+p[3])/400}|1.0|100.0 {3}
This implements again an enhancement with (p_\perp(Z)/20)^2
but only
in the range of 20-200 GeV. As you can see, you have to take into account
the normalisation also in the range specification.
This feature can be used for weighted and unweighted event generation.
Note that the convergence of the Monte Carlo integration can be worse if enhance functions are employed and therefore the integration can take significantly longer. The reason is that the default phase space mapping, which is constructed according to diagrammatic information from hard matrix elements, is not suited for event generation including enhancement. It must first be adapted, which, depending on the enhance function and the final state multiplicity, can be an intricate task.
If Sherpa cannot achieve an integration error target due to the use of enhance functions, it might be appropriate to locally redefine this error target, see Integration_Error.
Specifies a phase-space dependent biasing of parton-level events (before showering) to make them statistically flat in the given observable (and range). An example would be:
Process 93 93 -> 11 -11 93{1} Enhance_Observable VAR{log10(PPerp(p[2]+p[3]))}|1|3 {3}
Here, the 1-jet process is flattened with respect to the logarithmic transverse momentum of the lepton pair in the limits 1.0 (10 GeV) to 3.0 (1 TeV). For the calculation of the observable one can use any function available in the algebra interpreter (see Interpreter).
The matching at the range boundaries will be smooth, i.e. the effective enhancement is frozen to its value at the boundaries.
This can have unwanted side effects for the statistical uncertainty when used in a multi-jet merged sample, because the flattening is applied in each multiplicity separately, and also affects the relative selection weights of each sub-sample (e.g. 2-jet vs. 3-jet).
This setting specifies whether and in which mode an QCD NLO calculation should be performed. Possible values are:
Fixed_Order
... perform a fixed-order next-to-leading order
calculation
MC@NLO
... perform an MC@NLO-type matching of a fixed-order
next-to-leading order calculation to the resummation
of the parton shower
The usual multiplicity identifier apply to this switch as well.
Note that this setting implies NLO_QCD_Part BVIRS
for the relevant
multiplicities. This can be overridden by setting NLO_QCD_Part
explicitly in case of fixed-order calculations.
Note that Sherpa includes only a very limited selection of one-loop corrections. For processes not included external codes can be interfaced, see External one-loop ME
In case of fixed-order NLO calculations this switch specifies which pieces of a QCD NLO calculation are computed. Possible choices are
Different pieces can be combined in one processes setup. Only pieces with the same number of final state particles and the same order in alpha_S can be treated as one process, otherwise they will be automatically split up.
This setting specifies whether and in which mode an electroweak NLO calculation should be performed. Possible values are:
Fixed_Order
... perform a fixed-order next-to-leading order
calculation
In case of fixed-order NLO calculations this switch specifies which pieces of a electroweak NLO calculation are computed. Possible choices are
Different pieces can be combined in one processes setup. Only pieces with the same number of final state particles and the same order in alpha_QED can be treated as one process, otherwise they will be automatically split up.
Allows to split the virtual contribution to the total cross section into pieces. Currently supported options when run with BlackHat are ‘LeadingColor’ and ‘FullMinusLeadingColor’. For high-multiplicity calculations these settings allow to adjust the relative number of points in the sampling to reduce the overall computation time.
Set a process specific nametag for the desired tree-ME generator, see ME_SIGNAL_GENERATOR.
Set a process specific nametag for the desired ME generator used for the real minus subtraction part of NLO calculations. See also ME_SIGNAL_GENERATOR.
Set a process specific nametag for the desired
loop-ME generator. The only Sherpa-native option is Internal
with a few
hard coded loop matrix elements.
Set a process specific list of associated contributions to be computed.
Valid values are EW
(approximate EW corrections),
LO1
(first subleading leading-order correction),
LO2
(second subleading leading-order correction),
LO3
(third subleading leading-order correction).
They can be combined, eg. EW|LO1|LO2|LO3
.
Please note, the associated contributions will not be
added to the nominal event weight but instead are available to
be included in the on-the-fly calculation of alternative event
weights, cf. Scale and PDF variations.
Another source for loop matrix elements is BlackHat.
To use this Sherpa has to be linked to BlackHat during installation by using the configure option
--enable-blackhat=/path/to/blackhat
. The BlackHat settings file can be specified using
‘BH_SETTINGS_FILE’.
Sets a process-specific integrator, see INTEGRATOR.
Sets the number of points per optimization step, see PSI_ITMIN.
Sets the number of points per optimization step in real-minus-subtraction parts of fixed-order and MC@NLO calculations, see PSI_ITMIN.
Completes the setup of a process or a list of processes with common properties.
The setup of cuts at the matrix element level is covered by the ‘(selector)’ section of the steering file or the selector data file ‘Selector.dat’, respectively.
Sherpa provides the following selectors
5.7.1 One particle selectors | one particle selectors | |
5.7.2 Two particle selectors | two particle selectors | |
5.7.3 Decay selectors | decay selectors | |
5.7.4 Jet finders | cuts on QCD partons | |
5.7.5 Universal selector | user-defined cuts | |
5.7.6 Minimum selector | cuts that are inclusive for several selectors | |
5.7.7 NLO selectors | selectors for NLO QCD calculations | |
5.7.8 Fastjet selector | selector using jets built by Fastjet |
The selectors listed here implement cuts on the matrix element level, based on single particle kinematics. The corresponding syntax in ‘Selector.dat’ is
<keyword> <flavour code> <min value> <max value>
‘<min value>’ and ‘<max value>’ are floating point numbers, which can also be given in a form that is understood by the internal algebra interpreter, see Interpreter. The selectors act on all possible particles with the given flavour. Their respective keywords are
energy cut
transverse energy cut
transverse momentum cut
rapidity cut
pseudorapidity cut
cut on the z-component of the momentum, acts on initial-state flavours only (commonly used in DIS analyses)
The selectors listed here implement cuts on the matrix element level, based on two particle kinematics. The corresponding syntax in ‘Selector.dat’ is
<keyword> <flavour1 code> <flavour2 code> <min value> <max value>
‘<min value>’ and ‘<max value>’ are floating point numbers, which can also be given in a form that is understood by the internal algebra interpreter, see Interpreter. The selectors act on all possible particles with the given flavour. Their respective keywords are
invariant mass
angular separation (rad)
angular separation w.r.t. beam
(‘<flavour2 code>’ is 0 or 1, referring to beam 1 or 2)
pseudorapidity separation
rapidity separation
azimuthal angle separation (rad)
R separation
inelasticity, one of the flavours must be in the initial-state (commonly used in DIS analyses)
The selectors listed here implement cuts on the matrix element level, based on particle decays, see Decay and DecayOS.
Invariant mass of a decaying particle. The syntax is
DecayMass <flavour code> <min value> <max value>
Any kinematic variable of a decaying particle. The syntax is
Decay(<expression>) <flavour code> <min value> <max value>
where <expression>
is an expression handled by the
internal interpreter, see Interpreter.
Any kinematic variable of a pair of decaying particles. The syntax is
Decay2(<expression>) <flavour1 code> <flavour2 code> <min value> <max value>
where <expression>
is an expression handled by the
internal interpreter, see Interpreter.
Particles are identified by flavour, i.e. the cut is applied on all decaying particles that match ‘<flavour code>’. ‘<min value>’ and ‘<max value>’ are floating point numbers, which can also be given in a format that is understood by the internal algebra interpreter, see Interpreter.
There are three different types of jet finders
k_T-algorithm
cone-algorithm
k_T-type algorithm to select on a given number of jets
Their respective syntax is
JetFinder <ycut>[<ycut decay 1>[<ycut decay 11>...]...]... <D parameter> ConeFinder <min R> NJetFinder <n> <ptmin> <etmin> <D parameter> [<exponent>] [<eta max>] [<mass max>] FastjetFinder <algorithm> <n> <ptmin> <etmin> <dr> [<f(siscone)>=0.75] [<eta-max>] [<y-max>] [<nb>] [<nb2>]
For ‘JetFinder’, it is possible to give different values of ycut in individual subprocesses of a production-decay chain. The square brackets are then used to denote the decays. In case only one uniform set of ycut is to be used, the square brackets are left out.
‘<ycut>’, ‘<min R>’ and ‘<D parameter>’ are floating point numbers, which can also be given in a form that is understood by the internal algebra interpreter, see Interpreter.
The ‘NJetFinder’ allows to select for kinematic configurations with at least ‘<n>’ jets that satisfy both, the ‘<ptmin>’ and the ‘<etmin>’ minimum requirements and that are in a PseudoRapidity region |eta|<‘<eta max>’. The ‘<exponent>’ allows to apply a kt-algorithm (1) or an anti-kt algorithm (-1). As only massless partons are clustered by default, the ‘<mass max>’ allows to also include partons with a mass up to the specified values. This is useful e.g. in calculations with massive b-quarks which shall nonetheless satisfy jet criteria.
The final option ‘FastjetFinder’ allows to use the FastJet plugin if enabled during configuration(*).
It takes the following mandatory arguments:
<algorithm>
can take the values kt,antikt,cambridge,siscone
,
<n>
is the minimum number of jets to be found, <ptmin>
and
<etmin>
are the minimum transverse momentum and/or energy,
<dr>
is the radial parameter. Optional arguments are:
<f(siscone)>
(default 0.75), <eta-max>
and <y-max>
as
maximal absolute (pseudo-)rapidity (default infinity),
<nb>
and <nb2>
set the number of required b-jets, where for the
former both b and anti-b quarks are counted equally towards b-jets, while for
the latter they are added with a relative sign as constituents, i.e. a jet
containing b and anti-b is not tagged.
The universal selector is intended to implement non-standard cuts on the matrix element level. Its syntax is
"<variable>" <kf1>,..,<kfn> <min1>,<max1>:..:<minn>,<maxn> [<order1>,...,<orderm>]
No additional white spaces are allowed
The first word has to be double-quoted, and contains the name of the variable to cut on. The keywords for available predefined <variable>s can be figured by running Sherpa ‘SHOW_VARIABLE_SYNTAX=1’. Or alternatively, an arbitrary cut variable can be constructed using the internal interpreter, see Interpreter. This is invoked with the command ‘Calc(...)’. In the formula specified there you have to use place holders for the momenta of the particles: ‘p[0]’ ... ‘p[n]’ hold the momenta of the respective particles ‘kf1’ ... ‘kfn’. A list of available vector functions and operators can be found here Interpreter.
‘<kf1>,..,<kfn>’ specify the PDG codes of the particles the variable has to be calculated from. In case this choice is not unique in the final state, you have to specify multiple cut ranges (‘<min1>,<max1>:..:<minn>,<maxn>’) for all (combinations of) particles you want to cut on, separated by semicolons.
If no fourth argument is given, the order of cuts is determined internally, according to Sherpa’s process classification scheme. This then has to be matched if you want to have different cuts on certain different particles in the matrix element. To do this, you should put enough (for the possible number of combinations of your particles) arbitrary ranges at first and run Sherpa with debugging output for the universal selector: ‘Sherpa OUTPUT=2[Variable_Selector::Trigger|15]’. This will start to produce lots of output during integration, at which point you can interrupt the run (Ctrl-c). In the ‘Variable_Selector::Trigger(): {...}’ output you can see, which particle combinations have been found and which cut range your selector has held for them (vs. the arbitrary range you specified). From that you should get an idea, in which order the cuts have to be specified.
If the fourth argument is given, particles are ordered before the cut is applied. Possible orderings are ‘PT_UP’, ‘ET_UP’, ‘E_UP’, ‘ETA_UP’ and ‘ETA_DOWN’, (increasing p_T, E_T, E, eta, and decreasing eta). They have to be specified for each of the particles, separated by commas.
Examples
"mT" 11,-12 50,E_CMS
"PT" 90 50.0,E_CMS [PT_UP]
"Calc(abs(Eta(p[0]))<1.1||(abs(Eta(p[0]))>1.5&&abs(Eta(p[0]))<2.5))" 11 1,1
Note the range 1,1 meaning true for bool operations.
"Calc(Eta(p[0])*Eta(p[1]))" 93,93 -100,0 [PT_UP,PT_UP]
"Calc(Mass(p[0]+p[1])<87.0||Mass(p[0]+p[1])>97.0)" 11,22 1,1
"m" 90,90 80,100:0,E_CMS:0,E_CMS:0,E_CMS:0,E_CMS:80,100
Here we use knowledge about the internal ordering to cut only on the correct lepton pairs.
This selector can combine several selectors to pass an event if either those passes the event. It is mainly designed to generate more inclusive samples that, for instance, include several jet finders and that allows a specification later. The syntax is
MinSelector { Selector 1 Selector 2 ... }
Phase-space cuts that are applied on next-to-leading order calculations must be defined in a infrared safe way. Technically there is also a special treatment for the real (subtracted) correction required. Currently only the following selectors meet this requirement:
NJetFinder <n> <ptmin> <etmin> <D parameter> [<exponent>] [<eta max>] [<mass max>]
(see Jet finders)
PTNLO <flavour code> <min value> <max value> RapidityNLO <flavour code> <min value> <max value> PseudoRapidityNLO <flavour code> <min value> <max value>
PT2NLO <flavour1 code> <flavour2 code> <min value> <max value> Mass <flavour1 code> <flavour2 code> <min value> <max value>
IsolationCut 22 <dR> <exponent> <epsilon>
implements the Frixione isolation cone [Fri98].
If FastJet is enabled(*), the momenta and nodal values of the jets found with Fastjet can be used to calculate more elaborate selector criteria. The syntax of this selector is
FastjetSelector <expression> <algorithm> <n> <ptmin> <etmin> <dr> [<f(siscone)>=0.75] [<eta-max>] [<y-max>] [<bmode>]
wherein algorithm
can take the values kt,antikt,cambridge,siscone
.
In the algebraic expression
MU_n2
(n=2..njet+1) signify the nodal
values of the jets found and p[i]
are their momenta. For details see
Scale setters. For example, in lepton pair production in
association with jets
FastjetSelector Mass(p[4]+p[5])>100. antikt 2 40. 0. 0.5
selects all phase space points where two anti-kt jets with at least 40 GeV of
transverse momentum and an invariant mass of at least 100 GeV are found. The
expression must calculate a boolean value.
The bmode
parameter, if specified different from its default 0, allows
to use b-tagged jets only, based on the parton-level constituents of the jets.
There are two options: With <bmode>=1
both b and anti-b quarks are
counted equally towards b-jets, while for <bmode>=2
they are added with a
relative sign as constituents, i.e. a jet containing b and anti-b is not tagged.
(*) If FastJet has not been enabled during configuration of your Sherpa
installation, you can still build a FastJet-based selector plugin by including
the content of any necessary functions (e.g. from Fastjet_Helpers.[HC]
)
explicitly and linking against FastJet at compile time of the plugin.
The integration setup is covered by the ‘(integration)’ section of the steering file or the integration data file ‘Integration.dat’, respectively.
The following parameters are used to steer the integration.
5.8.1 INTEGRATION_ERROR | The relative integration error | |
5.8.2 INTEGRATOR | The integrator type | |
5.8.3 VEGAS | Whether to enable Vegas | |
5.8.4 FINISH_OPTIMIZATION | Whether to fully optimise the Vegas grid | |
5.8.5 PSI_NMAX | Maximum number of points per process | |
5.8.6 PSI_ITMIN | Minimum number of points per iteration cycle | |
5.8.7 PSI_ITMAX | Maximum number of points per iteration cycle | |
5.8.8 PSI_ITMIN_BY_NODE | Minimum number of points per iteration by node | |
5.8.9 PSI_ITMAX_BY_NODE | Maximum number of points per iteration by node |
Specifies the relative integration error target.
Specifies the integrator. The possible integrator types depend on the matrix element generator. In general users should rely on the default value and otherwise seek the help of the authors, see Authors. Within AMEGIC++ the options ‘AMEGIC_INTEGRATOR’ and ‘AMEGIC_RS_INTEGRATOR’ can be used to steer the behaviour of the default integrator
In addition, a few ME-generator independent integrators have been implemented for specific processes:
VHAAG_RES_KF
specifies
the kf-code of the weak boson, the default is W (24
).
VHAAG_RES_D1
and VHAAG_RES_D2
define the
positions of the Boson decay products within the internal
naming scheme, where 2
is the position of the first
outgoing particle. The defaults are VHAAG_RES_D1=2
and VHAAG_RES_D2=3
, which is the correct choice for
all processes where the decay products are the only not
strongly interacting final state particles.
Specifies whether or not to employ Vegas for adaptive integration. The two possible values are ‘On’ and ‘Off’, the default being ‘On’.
Specifies whether the full Vegas optimization is to be carried out. The two possible options are ‘On’ and ‘Off’, the default being ‘On’.
The maximum number of points before cuts to be generated during integration. This parameter acts on a process-by-process basis.
The minimum number of points used for every optimisation cycle. Please note that it might be increased automatically for complicated processes.
The maximum number of points used for every optimisation cycle. Please note that for complicated processes the number given might be insufficient for a meaningful optimisation.
Same as PSI_ITMIN, but specified per node to allow tuning of integration performance in large-scale MPI runs.
Same as PSI_ITMAX, but specified per node to allow tuning of integration performance in large-scale MPI runs.
The handler for decays of particles produced in the hard scattering process (e.g. W, Z, top, Higgs) can be enabled using the ‘HARD_DECAYS=1’ switch. Which (anti)particles should be treated as unstable is determined by the ‘STABLE[<id>]’ switch described in Models.
This decay module can also be used on top of NLO matrix elements, but it does not include any NLO corrections in the decay matrix elements themselves.
Note that the decay handler is an afterburner at the event generation level. It does not affect the calculation and integration of the hard scattering matrix elements. The cross section is thus unaffected during integration, and the branching ratios (if any decay channels have been disabled) are only taken into account for the event weights and cross section output at the end of event generation (if not disabled with the ‘HDH_BR_WEIGHTS’ option, cf. below). Furthermore any cuts or scale definitions are not affected by decays and operate only on the inclusively produced particles before decays.
This option allows to explicitly force or disable a decay channel identified by its ID code (which can be found in the decay table printed to screen during the run). The status can take the following values:
Decay channel is disabled and does not contribute to total width.
Decay channel is disabled but contributes to total width.
Decay channel is enabled.
Decay channel is forced.
For example, to disable the hadronic decay channels of the W boson one would use:
HDH_STATUS[24,2,-1]=0 HDH_STATUS[24,4,-3]=0 HDH_STATUS[-24,-2,1]=0 HDH_STATUS[-24,-4,3]=0
In the same way, the bottom decay mode of the Higgs could be forced using:
HDH_STATUS[25,5,-5]=2
Note that the ordering of the decay products in ‘<idcode>’ is important and has to be identical to the ordering in the decay table printed to screen. Multiple decay channels (also for different decaying particles and antiparticles) can be specified as separate lines. It is also possible to request multiple forced decay channels for the same particle, all other channels will then automatically be disabled.
This option allows to overwrite the calculated partial width (in GeV) of a given decay channel, and even to add new inactive channels which contribute to the total width. This is useful to adjust the branching ratios, which are used for the relative contributions of different channels and also influence the cross section during event generation, as well as the total width which is used for the lineshape of the resonance.
An example to set (/add) the partial widths of the H->ff
, H->gg
and H->yy
channels can be seen in the following. The values have been
taken from
LHCHXSWG)
for MASS[25]=125
and WIDTH[25]=0.00407
:
HDH_WIDTH[25,5,-5]=2.35e-3 HDH_WIDTH[25,15,-15]=2.57e-4 HDH_WIDTH[25,13,-13]=8.91e-7 HDH_WIDTH[25,4,-4]=1.18e-4 HDH_WIDTH[25,3,-3]=1.00e-6 HDH_WIDTH[25,21,21]=3.49e-4 HDH_WIDTH[25,22,22]=9.28e-6
Another example, setting the leptonic and hadronic decay channels of W and Z bosons to the PDG values, would be specified as follows:
HDH_WIDTH[24,2,-1]=0.7041 HDH_WIDTH[24,4,-3]=0.7041 HDH_WIDTH[24,12,-11]=0.2256 HDH_WIDTH[24,14,-13]=0.2256 HDH_WIDTH[24,16,-15]=0.2256 HDH_WIDTH[-24,-2,1]=0.7041 HDH_WIDTH[-24,-4,3]=0.7041 HDH_WIDTH[-24,-12,11]=0.2256 HDH_WIDTH[-24,-14,13]=0.2256 HDH_WIDTH[-24,-16,15]=0.2256 HDH_WIDTH[23,1,-1]=0.3828 HDH_WIDTH[23,2,-2]=0.2980 HDH_WIDTH[23,3,-3]=0.3828 HDH_WIDTH[23,4,-4]=0.2980 HDH_WIDTH[23,5,-5]=0.3828 HDH_WIDTH[23,11,-11]=0.0840 HDH_WIDTH[23,12,-12]=0.1663 HDH_WIDTH[23,13,-13]=0.0840 HDH_WIDTH[23,14,-14]=0.1663 HDH_WIDTH[23,15,-15]=0.0840 HDH_WIDTH[23,16,-16]=0.1663
Spin correlations between the hard scattering process and the following decay processes are enabled by default. If you want to disable them, e.g. for spin correlation studies, you can specify the option ‘HARD_SPIN_CORRELATIONS=0’.
The decay table and partial widths are calculated on-the-fly during the
initialization phase of Sherpa from the given model and its particles and
interaction vertices. To store these results in the Results/Decays
directory, one has to specify ‘STORE_DECAY_RESULTS=1’. In case
existing decay tables are to be read in ‘STORE_DECAY_RESULTS=1’
is to be specified as well. Please note, that Sherpa will delete decay
channels present in the read in results but not in the present model with
present parameters by default. To prevent Sherpa from updating the
decay table files accordingly specify ‘STORE_DECAY_RESULTS=2’.
Specifies the name of the directory where the decay results are to be stored. Defaults to the value of RESULT_DIRECTORY.
The decay handler computes LO partial and total decay widths and generates
decays with corresponding branching fractions, independently from the particle
widths specified by ‘WIDTH[<id>]’. The latter are relevant only for the
core process and should be set to zero for all unstable particles appearing
in the core-process final state. This guarantees on-shellness and gauge
invariance of the core process, and subsequent decays can be handled by the
afterburner.
In constrast, ‘WIDTH[<id>]’ should be set to the physical width when unstable
particles appear (only) as intermediate states in the core process, i.e. when
production and decay are handled as a full process or using
Decay
/DecayOS
.
In this case, the option ‘HDH_SET_WIDTHS=1’ permits to overwrite the
‘WIDTH[<id>]’ values of unstable particles by the LO widths computed by
the decay handler.
By default (‘HDH_BR_WEIGHTS=1’), weights for events which involve a hard decay are multiplied with the corresponding branching ratios (if decay channels have been disabled). This also means that the total cross section at the end of the event generation run already includes the appropriate BR factors. If you want to disable that, e.g. because you want to multiply with your own modified BR, you can set the option ‘HDH_BR_WEIGHTS=0’.
With the default of ‘HARD_MASS_SMEARING=1’ the kinematic mass of the unstable propagator is distributed according to a Breit-Wigner shape a posteriori. All matrix elements are still calculated in the narrow-width approximation with onshell particles. Only the kinematics are affected. To keep all intermediate particles onshell use ‘HARD_MASS_SMEARING=0’.
There are different options how to decide when a 1->2 process should be replaced by the respective 1->3 processes built from its decaying daughter particles.
(default) Only when the sum of decay product masses exceeds the decayer mass.
As soon as the sum of 1->3 partial widths exceeds the 1->2 partial width.
No 1->3 decays are taken into account.
By default, the tau lepton is decayed by the hadron decay module, Hadron decays, which includes not only the leptonic decay channels but also the hadronic modes. If ‘DECAY_TAU_HARD=1’ is specified, the tau lepton will be decayed in the hard decay handler, which only takes leptonic and partonic decay modes into account. Note, that in this case the tau needs to also be set massive with ‘MASSIVE[15]=1’.
Three parameters can be used to steer the accuracy and time consumption of the calculation of the partial widths in the decay table: ‘HDH_INT_ACCURACY=0.01’ specifies a relative accuracy for the integration. The corresponding target reference is either the given total width of the decaying particle (‘HDH_INT_TARGET_MODE=0’, default) or the calculated partial decay width (‘HDH_INT_TARGET_MODE=1’). The option ‘HDH_INT_NITER=2500’ can be used to change the number of points per integration iteration, and thus also the minimal number of points to be used in an integration.
The shower setup is covered by the ‘(shower)’ section of the steering file or the shower data file ‘Shower.dat’, respectively.
The following parameters are used to steer the shower setup.
5.10.1 SHOWER_GENERATOR | Tag to set Sherpa’s shower generator. | |
5.10.2 JET_CRITERION | Tag to set Sherpa’s jet criterion. | |
5.10.3 MASSIVE_PS | Tag to treat partons as massive in the shower. | |
5.10.4 MASSLESS_PS | Tag to treat partons as massless in the shower. | |
5.10.5 CS Shower options | Options for Sherpa’s default shower. |
The only full-fledged shower currently available in Sherpa is ‘CSS’, and this is the default for this tag. See the module summaries in Basic structure for details about this shower. For cross-checks in pure parton shower setups, one can use ‘Dire’. In this case, one also needs to set ‘CSS_IS_AS_FAC=1’, ‘CSS_FS_AS_FAC=1’, ‘CSS_IS_PT2MIN=3’, and ‘CSS_FS_PT2MIN=3’.
Other shower modules are in principle supported and more
choices will be provided by Sherpa in the near future.
To list all available shower modules, the tag
SHOW_SHOWER_GENERATORS=1
can be specified on the
command line.
SHOWER_GENERATOR=None
switches parton showering off completely.
However, even in the case of strict fixed order calculations, this might
not be the desired behaviour as, for example, then neither the METS scale
setter, cf. SCALES, nor Sudakov rejection weights can be employed.
To circumvent when using the CS Shower see CS Shower options.
The only natively supported option in Sherpa is ‘CSS’, and this is also the default. The corresponding jet criterion is described in [Hoe09]. A custom jet criterion, tailored to a specific experimental analysis, can be supplied using Sherpa’s plugin mechanism.
This option instructs Sherpa to treat certain partons as massive in the shower, which have been considered massless by the matrix element. The argument is a list of parton flavours, for example ‘MASSIVE_PS 4 5’, if both c- and b-quarks are to be treated as massive.
When hard decays are used, Sherpa treats all flavours as massive in the parton shower. This option instructs Sherpa to treat certain partons as massless in the shower nonetheless. The argument is a list of parton flavours, for example ‘MASSLESS_PS 1 2 3’, if u-, d- and s-quarks are to be treated as massless.
Sherpa’s default shower module is based on [Sch07a]. A new ordering parameter for initial state splitters was introduced in [Hoe09] and a novel recoil strategy for initial state splittings was proposed in [Hoe09a]. While the ordering variable is fixed, the recoil strategy for dipoles with initial-state emitter and final-state spectator can be changed for systematics studies. Setting ‘CSS_KIN_SCHEME=0’ corresponds to using the recoil scheme proposed in [Hoe09a], while ‘CSS_KIN_SCHEME=1’ (default) enables the original recoil strategy. The lower cutoff of the shower evolution can be set via ‘CSS_FS_PT2MIN’ and ‘CSS_IS_PT2MIN’ for final and initial state shower, respectively. Note that this value is specified in GeV^2. Scale factors for the evaluation of the strong coupling in the parton shower are given by ‘CSS_FS_AS_FAC’ and ‘CSS_IS_AS_FAC’. They multiply the ordering parameter, which is given in units of GeV^2.
By default, only QCD splitting functions are enabled in the shower. If you also want to allow for photon splittings, you can enable them by using ‘CSS_EW_MODE=1’. Note, that if you have leptons in your matrix-element final state, they are by default treated by a soft photon resummation as explained in QED corrections. To avoid double counting, this has to be disabled as explained in that section.
The CS Shower can be forced not to emit any partons setting ‘CSS_NOEM=1’. Sudakov rejection weights for merged samples are calculated nonetheless. Setting ‘CSS_MAXEM=<N>’, on the other hand, forces the CS Shower to truncate its evolution at the Nth emission. This setting, however does not necessarily compute all Sudakov weights correctly. Both settings still enable the CS Shower to be used in the METS scale setter, cf. SCALES.
The evolution variable of the CS shower can be changed using ‘CSS_EVOLUTION_SCHEME’. Two options are currently implemented, which correspond to transverse momentum ordering (option 0) and modified transverse momentum ordering (option 1). In addition, modified versions of these options (option 2 and option 3) are implemented, which take parton masses into account where applicable. The scale at which the strong coupling for gluon splitting into quarks is evaluated can be chosen with ‘CSS_SCALE_SCHEME’, where 0 corresponds to the ordering parameter and 1 corresponds to invariant mass. Additionally, the CS shower allows to disable splittings at scales below the on-shell mass of heavy quarks. The upper limit for the corresponding heavy quark mass is set using ‘CSS_MASS_THRESHOLD’.
The cut-off behaviour of the strong coupling for scales at which its value would formally exceed one can be set using ‘CSS_ALPHAS_FREEZE_MODE’. Setting it to 0 (which is the default) means that the strong coupling evaluates to zero at such scales (hard cut-off). Setting it to 1 lets it evaluate to one instead (freeze-in). A freeze-in behaviour is preferable when reweighting shower emissions, but it has not been used in the default Sherpa tune, and should therefore not be used when comparing particle-level predictions to data.
In order to improve the behavior of the parton shower in processes with large higher-order contributions from t-channel gluon exchange, the splitting kernels can be modified using ‘NLO_SUBTRACTION_SCHEME’. The default option is 0, corresponding to the standard Catani-Seymour kernels, while option 2 replaces the 1/x terms in initial-initial dipole operators by 1/(x+v). This change is made consistently in both the parton shower, the NLO fixed-order and NLO matched calculation.
The multiple parton interaction (MPI) setup is covered by the ‘(mi)’ section of the steering file or the MPI data file ‘MI.dat’, respectively. The basic MPI model is described in [Sjo87] while Sherpa’s implementation details are discussed in [Ale05]
The following parameters are used to steer the MPI setup.
5.11.1 MI_HANDLER | The MPI handler | |
5.11.2 TURNOFF | The p_T turnoff | |
5.11.3 SCALE_MIN | The p_T cutoff | |
5.11.4 PROFILE_FUNCTION | The hadron profile function | |
5.11.5 PROFILE_PARAMETERS | The hadron profile function | |
5.11.6 REFERENCE_SCALE | The reference scale | |
5.11.7 RESCALE_EXPONENT | The rescaling exponent | |
5.11.8 TURNOFF_EXPONENT | The rescaling exponent for the turnoff | |
5.11.9 SIGMA_ND_FACTOR | The non-diffractive cross section factor | |
5.11.10 MI_RESULT_DIRECTORY | The directory for the MPI grid | |
5.11.11 MI_RESULT_DIRECTORY_SUFFIX | The suffix for the directory for the MPI grid |
Specifies the MPI handler. The two possible values at the moment are ‘None’ and ‘Amisic’.
Specifies the transverse momentum turnoff in GeV.
Specifies the transverse momentum integration cutoff in GeV.
Specifies the hadron profile function. The possible values are ‘Exponential’, ‘Gaussian’ and ‘Double_Gaussian’. For the double gaussian profile, the relative core size and relative matter fraction can be set using PROFILE_PARAMETERS.
The potential parameters for hadron profile functions, see PROFILE_FUNCTION. For double gaussian profiles there are two parameters, corresponding to the relative core size and relative matter fraction.
Specifies the centre-of-mass energy at which the transverse momentum integration cutoff is used as is, see SCALE_MIN. This parameter should not be changed by the user. The default is ‘1800’, corresponding to Tevatron Run I energies.
Specifies the rescaling exponent for fixing the transverse momentum integration cutoff at centre-of-mass energies different from the reference scale, see SCALE_MIN, REFERENCE_SCALE.
Specifies the rescaling exponent for fixing the transverse momentum turnoff at centre-of-mass energies different from the reference scale, see TURNOFF, REFERENCE_SCALE.
Specifies the factor to scale the non-diffractive cross section calculated in the MPI initialisation.
Specifies the name of the directory where the MPI grid is stored. The default comprises the beam particles, their energies and the PDF used. In its default value, this information safeguards against using unsuitable grids for the current calculation, assuming a standard TUNE has been used.
Supplements the default directory name for the MPI grid with a suffix.
The hadronization setup is covered by the ‘(fragmentation)’ section of the steering file or the fragmentation data file ‘Fragmentation.dat’, respectively.
It covers the fragmentation of partons into primordial hadrons as well as the decays of unstable hadrons into stable final states.
5.12.1 Fragmentation | The fragmentation module, and its parameters. | |
5.12.2 Hadron decays | The hadron decay module, and its parameters. |
The FRAGMENTATION
parameter sets the fragmentation module to be employed
during event generation.
MSTJ(<number>)=<value>
.
The following parameters steer the ‘Ahadic’ fragmentation model and
up-to-date default values of these parameters can be found in
AHADIC++/Tools/Hadronisation_Parameters.C
.
The constituent masses of the quarks and diquarks are given by
M_UP_DOWN
M_STRANGE
M_CHARM
M_BOTTOM
The diquark masses are composed of the quark masses and some additional parameters, with
M_DIQUARK_OFFSET
M_BIND_0
M_BIND_1
For the selection of hadrons emerging in such cluster transitions and decays, an overlap between the cluster flavour content and the flavour part of the hadronic wave function is formed. This may be further modified by production probabilities, organised by multiplet and given by the parameters
MULTI_WEIGHT_L0R0_PSEUDOSCALARS
MULTI_WEIGHT_L0R0_VECTORS
MULTI_WEIGHT_L0R0_TENSORS2
MULTI_WEIGHT_L0R0_TENSORS3
MULTI_WEIGHT_L0R0_TENSORS4
MULTI_WEIGHT_L1R0_SCALARS
MULTI_WEIGHT_L1R0_AXIALVECTORS
MULTI_WEIGHT_L1R0_TENSORS2
MULTI_WEIGHT_L2R0_VECTORS
MULTI_WEIGHT_L3R0_VECTORS
MULTI_WEIGHT_L0R1_SCALARS
MULTI_WEIGHT_L0R1_AXIALVECTORS
MULTI_WEIGHT_L0R0_N_1/2
MULTI_WEIGHT_L0R0_N*_1/2
MULTI_WEIGHT_L1R0_N*_1/2
MULTI_WEIGHT_L1R0_N*_3/2
MULTI_WEIGHT_L0R0_DELTA_3/2
MULTI_WEIGHT_L1R0_DELTA*_3/2
In addition, there are some enhancement and suppression factors applied to heavy baryons and meson singlets,
HEAVY_BARYON_ENHANCEMEMT
SINGLET_SUPPRESSION
For the latter, Sherpa also allows to redfine the mixing angles through parameters such as
Mixing_0+
Mixing_1-
The phase space effects due to these masses govern to a large extent the flavour content of the non-perturbative gluon splittings at the end of the parton shower and in the decay of clusters. They are further modified by relative probabilities with respect to the production of up/down flavours through the parameters
STRANGE_FRACTION
BARYON_FRACTION
P_{QS}/P_{QQ}
P_{SS}/P_{QQ}
P_{QQ_1}/P_{QQ_0}
The transition of clusters to hadrons is governed by the following considerations:
The probability for a cluster C to be transformed into a hadron H is given by a combination of weights, obtained from the overlap with the flavour part of the hadronic wave function, the relative weight of the corresponding multiplet and a kinematic weight taking into account the mass difference of cluster and hadron and the width of the latter. For the direct decay of a cluster into two hadrons the overlaps with the wave functions of all hadrons, their respective multiplet suppression weights, the flavour weight for the creation of the new flavour q and a kinematical factor are relevant. Here, yet another tuning paramter enters,
MassExponent_C->HH
which partially compensates phase space effects favouring light hadrons,
Cluster decays are generated by firstly emitting a non-perturbative “gluon” from one of the quarks, using a transverse momentum distribution as in the non-perturbative gluon decays, see below, and by then splitting this gluon into a quark–antiquark of anti-diquark–diquark pair, again with the same kinematics. In the first of these splittings, the emission of the gluon, though, the energy distribution of the gluon is given by the quark splitting function, if this quark has been produced in the perturbative phase of the event. If, in contrast, the quark stems from a cluster decay, the energy of the gluon is selected according to a flat distribution.
In clusters decaying to hadrons, the transverse momentum is chosen according to a distribution given by an infrared-continued strong coupling and a term inversemly proportional to the infrared-modified transverse momentum, constrained to be below a maximal transverse momentum. The respective tuning parameters are
PT^2_0
PT_MAX
Q_as^2
In each splitting, the kinematics is given by the transverse momentum, the energy splitting parameter and the azimuthal angle. The latter, the azimuthal angle is always seleectred according to a flat distribution, while the energy splitting parameter will either be chosen according to the quark-to-gluon splitting function (if the quark is a leading quark, i.e. produced in the pertrubative phase), to the gluon-to-quark splitting function, or according to a flat distribution. The transverse momentum is given by the same distribution as in the cluster decays to hadrons.
The treatment of hadron and tau decays is specified by DECAYMODEL
.
Its allowed values are either the default choice ‘Hadrons’, which
renders the HADRONS++ module responsible for performing the decays, or the
hadron decays can be disabled with the option ‘Off’.
HADRONS++ is the module within the Sherpa framework which is responsible for treating hadron and tau decays. It contains decay tables with branching ratios for approximately 2500 decay channels, of which many have their kinematics modelled according to a matrix element with corresponding form factors. Especially decays of the tau lepton and heavy mesons have form factor models similar to dedicated codes like Tauola [Jad93] and EvtGen [Lan01].
Some general switches which relate to hadron decays can be adjusted in the
(fragmentation)
section:
DECAYPATH
The path to the parameter files for the hadron and tau decays
(default: Decaydata/
). It is important to note that the path
has to be given relative to the current working directory.
If it doesn’t exist, the default Decaydata
directory (<prefix>/share/SHERPA-MC/Decaydata
) will be used.
(model)
section (cf. Models).
SOFT_MASS_SMEARING = [0,1,2]
(default: 1)
Determines whether particles entering the hadron decay event
phase should be put off-shell according to their mass
distribution. It is taken care that no decay mode is suppressed
by a potentially too low mass. While HADRONS++ determines this dynamically
from the chosen decay channel, for Pythia
as hadron decay handler
its w-cut
parameter is employed. Choosing option 2 instead of 1 will
only set unstable (decayed) particles off-shell, but leave stable particles
on-shell.
MAX_PROPER_LIFETIME = [mm]
Parameter for maximum proper lifetime (in mm) up to which particles
are considered unstable. If specified, this will make long-living particles
stable, even if they are set unstable by default or by the user.
Many aspects of the above mentioned “Decaydata” can be adjusted.
There exist three levels of data files, which are explained in the following
sections.
As with all other setup files, the user can either employ the default
“Decaydata” in <prefix>/share/SHERPA-MC/Decaydata
, or
overwrite it (also selectively) by creating the appropriate files in the
directory specified by DECAYPATH
.
HadronDecays.dat
consists of a table of particles that are to be decayed
by HADRONS++. Note: Even if decay tables exist for the other particles, only those
particles decay that are set unstable, either by default, or in the
model/fragmentation settings. It has the following structure, where each line
adds one decaying particle:
<kf-code> -> | <subdirectory>/ | <filename>.dat |
decaying particle | path to decay table | decay table file |
default names: | <particle>/ | Decays.dat |
It is possible to specify different decay tables for the particle (positive kf-code) and anti-particle (negative kf-code). If only one is specified, it will be used for both particle and anti-particle.
If more than one decay table is specified for the same kf-code, these tables will be used in the specified sequence during one event. The first matching particle appearing in the event is decayed according to the first table, and so on until the last table is reached, which will be used for the remaining particles of this kf-code.
Additionally, this file may contain the keyword CREATE_BOOKLET
on a separate
line, which will cause HADRONS++ to write a LaTeX document containing all decay
tables.
The decay table contains information about outgoing particles for each channel, its branching ratio and eventually the name of the file that stores parameters for a specific channel. If the latter is not specified HADRONS++ will produce it and modify the decay table file accordingly.
Additionally to the branching ratio, one may specify the error associated with it, and its source. Every hadron is supposed to have its own decay table in its own subdirectory. The structure of a decay table is
{kf1,kf2,kf3,...} | BR(delta BR)[Origin] | <filename>.dat |
outgoing particles | branching ratio | decay channel file |
It should be stressed here that the branching ratio which is explicitly given for any individual channel in this file is always used regardless of any matrix-element value.
A decay channel file contains various information about that specific decay channel. There are different sections, some of which are optional:
<Options> AlwaysIntegrate = 0 CPAsymmetryC = 0.0 CPAsymmetryS = 0.0 </Options>
AlwaysIntegrate = [0,1]
For each decay channel, one needs an
integration result for unweighting the kinematics (see below). This
result is stored in the decay channel file, such that the
integration is not needed for each run. The AlwaysIntegrate option
allows to bypass the stored integration result, and do the integration
nonetheless (same effect as deleting the integration result).
CPAsymmetryC/CPAsymmetryS
If one wants to include time dependent
CP asymmetries through interference between mixing and decay one can
set the coefficients of the cos and sin terms respectively.
HADRONS++ will then respect these asymmetries between particle and
anti-particle in the choice of decay channels.
<Phasespace> 1.0 MyIntegrator1 0.5 MyIntegrator2 </Phasespace>Specifies the phase-space mappings and their weight.
<ME> 1.0 0.0 my_matrix_element[X,X,X,X,X,...] 1.0 0.0 my_current1[X,X,...] my_current2[X,X,X,...] </ME>Specifies the matrix elements or currents used for the kinematics, their respective weights, and the order in which the particles (momenta) enter them. For more details, the reader is referred to [Kra10].
<my_matrix_element[X,X,X,X,X,...]> parameter1 = value1 parameter2 = value2 ... </my_matrix_element[X,X,X,X,X,...]>Each matrix element or current may have an additional section where one can specify needed parameters, e.g. which form factor model to choose. Each parameter has to be specified on a new line as shown above. Available parameters are listed in [Kra10]. Parameters not specified get a default value, which might not make sense in specific decay channels. One may also specify often needed parameters in
HadronConstants.dat
, but they will get
overwritten by channel specific parameters, should these exist.
<Result> 3.554e-11 6.956e-14 1.388e-09; </Result>These last three lines have quite an important meaning. If they are missing, HADRONS++ integrates this channel during the initialization and adds the result lines. If this section exists though, and
AlwaysIntegrate
is off
(the default value, see above) then HADRONS++ reads in the maximum for
the kinematics unweighting.
Consequently, if some parameters are changed (also masses of incoming and
outgoing particles) the maximum might change such that a new integration is
needed in order to obtain correct kinematical distributions. There are two
ways to enforce the integration: either by deleting the last three lines or
by setting AlwaysIntegrate
to 1. When a channel is re-integrated, HADRONS++
copies the old decay channel file into .<filename>.dat.old
.
HadronConstants.dat
may contain some globally needed parameters (e.g.
for neutral meson mixing, see [Kra10]) and also fall-back
values for all matrix-element parameters which one specifies in decay channel
files. Here, the Interference_X = 1
switch would enable rate asymmetries
due to CP violation in the interference between mixing and decay
(cf. Decay channel files), and setting Mixing_X = 1
enables explicit mixing in the event record according to the time evolution of
the flavour states. By default, all mixing effects are turned off.
x_K = 0.946 y_K = -0.9965 qoverp2_K = 1.0 Interference_K = 0 Mixing_K = 0 x_D = 0.0 y_D = 0.0 qoverp2_D = 1.0 Interference_D = 0 Mixing_D = 0 x_B = 0.776 y_B = 0.0 qoverp2_B = 1.0 Interference_B = 1 Mixing_B = 0 x_B(s) = 30.0 y_B(s) = 0.155 qoverp2_B(s) = 1.0 Interference_B(s) = 0 Mixing_B(s) = 0
Spin correlations:
a spin correlation algorithm is implemented. It can be switched on through the
keyword ‘SOFT_SPIN_CORRELATIONS=1’ in the (run)
section.
If spin correlations for tau leptons produced in the hard scattering process are supposed to be taken into account, one needs to specify ‘HARD_SPIN_CORRELATIONS=1’ as well. If using AMEGIC++ as ME generator, note that the Process libraries have to be re-created if this is changed.
Adding new channels:
if new channels are added to HADRONS++ (choosing isotropic decay kinematics) a new
decay table must be defined and the corresponding hadron must be added to HadronDecays.dat
.
The decay table merely needs to consist of the outgoing particles and branching ratios, i.e. the
last column (the one with the decay channel file name) can safely be dropped. By running Sherpa
it will automatically produce the decay channel files and write their names in the decay table.
Some details on tau decays: $\tau$ decays are treated within the HADRONS++ framework, even though the $\tau$ is not a hadron. As for many hadron decays, the hadronic tau decays have form factor models implemented, for details the reader is referred to [Kra10].
Higher order QED corrections are effected both on hard interaction and, upon their formation, on each hadron’s subsequent decay. The Photons [Sch08] module is called in both cases for this task. It employes a YFS-type resummation [Yen61] of all infrared singular terms to all orders and is equipped with complete first order corrections for the most relevant cases (all other ones receive approximate real emission corrections built up by Catani-Seymour splitting kernels).
5.13.1 General Switches | ||
5.13.2 QED Corrections to the Hard Interaction | ||
5.13.3 QED Corrections to Hadron Decays |
The relevant switches to steer the higher order QED corrections reside in the ‘(fragmentation)’ section of the steering file or the fragmentation data file ‘Fragmentation.dat’, respectively.
5.13.1.1 YFS_MODE | Mode of operation. | |
5.13.1.2 YFS_USE_ME | Use ME-corrections if possible. | |
5.13.1.3 YFS_IR_CUTOFF | Infrared threshold for real photon generation. |
The keyword YFS_MODE = [0,1,2]
determines the
mode of operation of Photons. YFS_MODE = 0
switches Photons off.
Consequently, neither the hard interaction nor any hadron decay will be
corrected for soft or hard photon emission. YFS_MODE = 1
sets
the mode to "soft only", meaning soft emissions will be treated
correctly to all orders but no hard emission corrections will be
included. With YFS_MODE = 2
these hard emission corrections will
also be included up to first order in alpha_QED. This is the default setting.
The switch YFS_USE_ME = [0,1]
tells Photons how to correct hard
emissions to first order in alpha_QED. If YFS_USE_ME = 0
, then
Photons will use collinearly approximated real emission matrix elements. Virtual
emission matrix elements of order alpha_QED are ignored. If, however,
YFS_USE_ME=1, then exact real and/or virtual emission matrix elements
are used wherever possible. These are presently available for V->FF, V->SS,
S->FF, S->SS, S->Slnu, S->Vlnu type decays, Z->FF decays and leptonic tau and W
decays. For all other decay types general collinearly approximated matrix
elements are used. In both approaches all hadrons are treated as point-like
objects. The default setting is YFS_USE_ME = 1
. This switch is only
effective if YFS_MODE = 2
.
YFS_IR_CUTOFF
sets the infrared cut-off dividing the real emission in two
regions, one containing the infrared divergence, the other the "hard" emissions.
This cut-off is currently applied in the rest frame of the multipole of the
respective decay. It also serves as a minimum photon energy in this frame for
explicit photon generation for the event record. In contrast, all photons below
with energy less than this cut-off will be assumed to have negligible impact on
the final-state momentum distributions. The default is
YFS_IR_CUTOFF = 1E-3
(GeV). Of course, this switch is only effective if
Photons is switched on, i.e. YFS_MODE = [1,2]
.
The switch to steer QED corrections to the hard scatter resides in the ’(me)’ section of the steering file or the matrix element data file ‘ME.dat’, respectively.
5.13.2.1 ME_QED | Mode of operation. | |
5.13.2.2 ME_QED_CLUSTERING | Identify and preserve resonances. | |
5.13.2.3 ME_QED_CLUSTERING_THRESHOLD | Threshold for identifying resonances. |
ME_QED = On
/Off
turns the higher order QED corrections to the
matrix element on or off, respectively. The default is ‘On’. Switching
QED corrections to the matrix element off has no effect on
QED Corrections to Hadron Decays.
The QED corrections to the matrix element will only be effected on final state
not strongly interacting particles. If a resonant production subprocess for an
unambiguous subset of all such particles is specified via the process
declaration (cf. Processes) this can be taken into account and dedicated
higher order matrix elements can be used (if YFS_MODE = 2
and
YFS_USE_ME = 1
).
ME_QED_CLUSTERING = On
/Off
switches the phase space point
dependent identification of possible resonances within the hard matrix
element on or off, respectively. The default is ‘On’.
Resonances are identified by recombining the electroweak final state of
the matrix element into resonances that are allowed by the model.
Competing resonances are identified by their on-shell-ness, i.e.
the distance of the decay product’s invariant mass from the nominal
resonance mass in units of the resonance width.
Sets the maximal distance of the decay product invariant mass from the nominal resonance mass in units of the resonance width in order for the resonance to be identified. The default is ‘ME_QED_CLUSTERING_THRESHOLD = 1’.
If the Photons module is switched on, all hadron decays are corrected for higher order QED effects.
Minimum bias events are simulated through the Shrimps module in Sherpa.
Shrimps is based on the KMR model [Rys09], which is a multi-channel eikonal model. The incoming hadrons are written as a superposition of Good-Walker states, which are diffractive eigenstates that diagalonise the T-matrix. This allows to include low-mass diffractive excitation. Each combination of colliding Good-Walker states gives rise to a single-channel eikonal. The final eikonal is the superposition of the single-channel eikonals. The number of Good-Walker states is 2 in Shrimps (the original KMR model includes 3 states).
Each single-channel eikonal can be seen as the product of two parton densities,
one from each of the colliding Good-Walker states. The evolution of the parton
densities in rapidity due to extra emissions and absoption on either of the two
hadrons is described by a set of coupled differential equations. The parameter
Delta
, which can be interpreted as the Pomeron intercept, is the
probability for emitting an extra parton per unit of rapidity. The strength of
absorptive corrections is quantified by the parameter lambda
, which can
also be seen as the triple-Pomeron coupling. A small region of size
deltaY
around the beams is excluded from the evolution due to the finite
longitudinal size of the parton densities.
The boundary conditions for the parton densities are form factors, which have a
dipole form characterised by the parameters Lambda2
, beta_0^2
,
kappa
and xi
.
In this framework the eikonals and the cross sections for the different modes (elastic, inelastic, single- and double-diffractive) are calculated.
Inelastic events are generated by explicitely simulating the exchange and rescattering of gluon ladders. The number of primary ladders is given by a Poisson distribution whose parameter is the single-channel eikonal. The decomposition of the incoming hadrons into partons proceeds via suitably infra-red continued PDFs.
The emissions from the ladders are then generated in
a Markov chain. The pseudo-Sudakov form factor contains several factors: an
ordinary gluon emission term, a factor accounting for the Reggeisation of the
gluons and a recombination weight taking absorptive corrections into account.
The emission term has the perturbative form alpha_s(k_T^2)/k_T^2, that
needs to
be continued into the infra-red region. In the case of alpha_s the
transition into the infra-red region happens at Q_as^2
while in the case
of 1/k_T^2 the transition scale is generated dynamically and depends on
the parton densities and is scaled by Q_0^2
.
The propagators of the filled ladder can be either in a colour singlet or octet
state, the probabilities are again given through the parton densities. The
probability for a singlet can also be regulated by hand through the parameter
Chi_S
. A singlet propagator is the result of an implicit rescattering.
After all emissions have been generated and the colours assigned, further
radiation is generated by the parton shower to resum also the logrithms in
1/Q^2. The amount of radiation from the parton shower can be regulated
with KT2_Factor
, which multiplies the shower starting scale. After
parton showering partons emitted from the ladder or the parton shower are
subject to explicit rescattering, i.e. they can exchange secondary ladders. The
probability for the exchange of a rescattering ladder is characterised by
RescProb
. The probability for rescattering over a singlet propagator
receives an extra factor RescProb1
. After all ladder exchanges and
rescatterings but before hadronsation colour can be re-arrangd in the event.
Finally, the event is hadronised using the standard Sherpa cluster
hadronisation.
Below is a list of all relevant parameters to steer the Shrimps module.
To generate minimum bias events with Shrimps in the ’(run)’ section of the run
card EVENT_TYPE
has to be set to MinimumBias
and
SOFT_COLLISIONS
to Shrimps
.
The setup of minimum bias events and other, related simulations, is
covered by the ’(run)’ section of the run card. The exact choice is steered
through the parameter Shrimps_Mode
(default Inelastic
),
which allows the following settings:
Xsecs
, which will only calculate total, elastic, inelastic,
single- and double-diffractive cross sections at various relevant energies
and write them to a file, typically ’InclusiveQuantities/Xsecs.dat’;
Elastic
generates elastic events at a fixed energy;
Single-diffractive
generates low-mass single-diffractive events at a fixed energy,
modelled by the transition of one of the protons to a N(1440) state;
Double-diffractive
generates low-mass single-diffractive events at a fixed energy,
modelled by the transition of both protons to N(1440) states;
Quasi-elastic
generates a combination of elastic, single- and double-diffractive
events in due proportion;
Inelastic
generates inelastic minimum bias events through the exchange of t-channel
gluons or singlets (pomerons). This mode actually will include
large mass diffraction;
All
generates a combination of quasi-elastic and inelastic events in due
proportion.
The parameters of the differential equations for the parton densities are
Delta
(default 0.4): perturbative Pomeron intercept
lambda
(default 0.3): triple Pomeron coupling
deltaY
(default 1.5): rapidity interval excluded from evolution
The form factors are of the form
F_{1/2}(q_T) = beta_0^2 (1 +/- kappa)
exp[-xi (1 +/- kappa)q_T^2/Lambda^2]/[1 + (1 +/- kappa)q_T^2/Lambda^2]^2
with the parameters
Lambda2
(default 1.7 GeV^2)
beta_0^2
(default 20.0 mb)
kappa
(default 0.6)
xi
(default 0.2)
The parameters related to the generation of inelastic events are
Q_0^2
(default 0.58 GeV^2): factor scaling the infra-red
scale of ladder emissions
Q_as^2
(default 1.0 GeV^2): infra-red scale of the strong
coupling
Chi_S
(default 0.60): factor scaling probability for singlet
propagators in ladders
Shower_Min_KT2
(default 2.0 GeV^2): minimum shower starting scale
KT2_Factor
(default 0.89): factor scaling the parton shower starting
scale
RescProb
(default 5.0): parameter controlling probability for
rescattering
RescProb1
(default 0.54): factor scaling rescatter
probility over singlet propagators
Resc_KTMin
(default ’off’): require minimum kt in rescattering (switch)
ReconnProb
(default -15.0): parameter regulating the strength of colour reconnections (logarithmic)
Q_RC^2
(default 0.72 GeV^2): regulator entering distance measure in colour reconnections
6.1 Bash completion | How to add bash completion for Sherpa parameters | |
6.2 Rivet analyses | How to analyse Sherpa events using Rivet | |
6.3 HZTool analyses | How to analyse Sherpa events using HZTool | |
6.4 MCFM interface | How to use the MCFM interface in NLO calculation | |
6.5 Debugging a crashing/stalled event | How to recover the random seed for an event that is hanging or crashing | |
6.6 Versioned installation | How to install multiple Sherpa versions in the same prefix. | |
6.7 NLO calculations | How to efficiently perform NLO calculations |
Sherpa will install a file named ‘$prefix/share/SHERPA-MC/sherpa-completion’ which contains tab completion functionality for the bash shell. You simply have to source it in your active shell session by running
. $prefix/share/SHERPA-MC/sherpa-completion
and you will be able to tab-complete any parameters on a Sherpa command line.
To permanently enable this feature in your bash shell, you’ll have to add the source command above to your ~/.bashrc.
Sherpa is equipped with an interface to the analysis tool Rivet. To enable it, Rivet and HepMC have to be installed (e.g. using the Rivet bootstrap script) and your Sherpa compilation has to be configured with the following options:
./configure --enable-hepmc2=/path/to/hepmc2 --enable-rivet=/path/to/rivet
(Note: Both paths are equal if you used the Rivet bootstrap script.)
To use the interface, specify the switch
Sherpa ANALYSIS=Rivet
and create an analysis section in Run.dat
that reads as follows:
(analysis){ BEGIN_RIVET { -a D0_2008_S7662670 CDF_2007_S7057202 D0_2004_S5992206 CDF_2008_S7828950 } END_RIVET }(analysis)
The line starting with -a
specifies which Rivet analyses to run and the
histogram output file can be changed with the normal ANALYSIS_OUTPUT
switch.
You can also use rivet-mkhtml
(distributed with Rivet) to create
plot webpages from Rivet’s output files:
source /path/to/rivetenv.sh # see below rivet-mkhtml -o output/ file1.aida [file2.aida, ...] firefox output/index.html &
If your Rivet installation is not in a standard location, the bootstrap script
should have created a rivetenv.sh
which you have to source before running
the rivet-mkhtml
script.
Sherpa is equipped with an interface to the analysis tool HZTool. To enable it, HZTool and CERNLIB have to be installed and your Sherpa compilation has to be configured with the following options:
./configure --enable-hztool=/path/to/hztool --enable-cernlib=/path/to/cernlib --enable-hepevtsize=4000
To use the interface, specify the switch
Sherpa ANALYSIS=HZTool
and create an analysis section in Run.dat
that reads as follows:
(analysis){ BEGIN_HZTOOL { HISTO_NAME output.hbook; HZ_ENABLE hz00145 hz01073 hz02079 hz03160; } END_HZTOOL; }(analysis)
The line starting with HZ_ENABLE
specifies which HZTool analyses to run.
The histogram output directory can be changed using the ANALYSIS_OUTPUT
switch, while HISTO_NAME
specifies the hbook output file.
Sherpa is equipped with an interface to the NLO library of
MCFM for decdicated processes.
To enable it, MCFM has to be installed and compiled into a single library,
libMCFM.a. To this end, an installation script is provided in
AddOns/MCFM/install_mcfm.sh
. Please note, due to some process specific
changes that are made by the installation script to the MCFM code, only few
selected processes of MCFM-6.3 are available through the interface.
Finally, your Sherpa compilation has to be configured with the following options:
./configure --enable-mcfm=/path/to/mcfm
To use the interface, specify
Loop_Generator MCFM;
in the process section of the run card and add it to the list of generators in ME_SIGNAL_GENERATOR. Of course, MCFM’s process.DAT file has to be copied to the current run directory.
If an event crashes, Sherpa tries to obtain all the information needed to reproduce that event and writes it out into a directory named
Status__<date>_<time>
If you are a Sherpa user and want to report this crash to the Sherpa team, please attach a tarball of this directory to your email. This allows us to reproduce your crashed event and debug it.
To debug it yourself, you can follow these steps (Only do this if you are a Sherpa developer, or want to debug a problem in an addon library created by yourself):
cp Status__<date>_<time>/random.dat ./
Sherpa [...] STATUS_PATH=./
Sherpa will then read in your random seed from “./random.dat” and generate events from it.
Sherpa [...] OUTPUT=15 STATUS_PATH=./
If event generation seems to stall, you first have to find out the number of the current event. For that you would terminate the stalled Sherpa process (using Ctrl-c) and check in its final output for the number of generated events. Now you can request Sherpa to write out the random seed for the event before the stalled one:
Sherpa [...] EVENTS=[#events - 1] SAVE_STATUS=Status/
(Replace [#events - 1] using the number you figured out earlier)
The created status directory can either be sent to the Sherpa developers, or be used in the same steps as above to reproduce that event and debug it.
If you want to install different Sherpa versions into the same prefix (e.g. /usr/local), you have to enable versioning of the installed directories by using the configure option ‘--enable-versioning’. Optionally you can even pass an argument to this parameter of what you want the version tag to look like.
6.7.1 Choosing DIPOLE_ALPHA | ||
6.7.2 Integrating complicated Loop-ME | ||
6.7.3 Avoiding misbinning effects | ||
6.7.4 Enforcing the renormalization scheme | ||
6.7.5 Checking the pole cancellation |
A variation of the parameter DIPOLE_ALPHA
(see Dipole subtraction) changes the
contribution from the real (subtracted) piece (RS
) and
the integrated subtraction terms (I
), keeping their sum constant.
Varying this parameter provides a nice check of the consistency
of the subtraction procedure and it allows to optimize the
integration performance of the real correction. This piece
has the most complicated momentum phase space and is often the
most time consuming part of the NLO calculation.
The optimal choice depends on the specific setup and can be
determined best by trial.
Hints to find a good value:
DIPOLE_ALPHA
is the less dipole term have to be
calculated, thus the less time the evaluation/phase space point takes.
RS
and the I
parts and thus to large statisical errors.
DIPOLE_ALPHA=1
.
The more complicated a process is the smaller DIPOLE_ALPHA
should be
(e.g. with 5 partons the best choice is typically around 0.01).
RS
piece is significantly positive but not much larger than
the born cross section.
For complicated processes the evaluation of one-loop matrix elements can be very time consuming. The generation time of a fully optimized integration grid can become prohibitively long. Rather than using a poorly optimized grid in this case it is more advisable to use a grid optimized with either the born matrix elements or the born matrix elements and the finite part of the integrated subtraction terms only, working under the assumption that the distibutions in phase space are rather similar.
This can be done by one of the following methods:
0.
as its finite result) to optimise the grid. This
only works if V
is not the only NLO_QCD_Part
specified.
Loop_Generator
to
Internal
and add USE_DUMMY_VIRTUAL=1
to
your (run){...}(run)
section. The grid will
then be optimised to the phase space distribution of
the sum of the Born matrix element and the finite part
of the integrated subtraction term. Note: The
cross section displayed during integration will also
correspond to the sum of the Born matrix element and
the finite part of the integrated subtraction term.
Loop_Generator
to
your generator supplying the virtual correction. The
events generated then carry the correct event weight.
BVI
pieces and V
is not the only NLO_QCD_Part
specified.
NLO_BVI_MODE=<num>
to your
(run){...}(run)
section. <num>
takes the
following values: 1
-B
, 2
-I
,
and 4
-V
. The values are additive, i.e.
3
-BI
. Note: The cross section displayed
during integration will match the parts selected by
NLO_BVI_MODE
.
Note: this will not work for the RS
piece!
Close to the infrared limit, the real emission matrix element and corresponding subtraction events exhibit large cancellations. If the (minor) kinematics difference of the events happens to cross a parton-level cut or analysis histogram bin boundary, then large spurious spikes can appear.
These can be smoothed to some extend by shifting the weight from the subtraction kinematic to the real-emission kinematic if the dipole measure alpha is below a given threshold. The fraction of the shifted weight is inversely proportional to the dipole measure, such that the final real-emission and subtraction weights are calculated as:
w_r -> w_r + sum_i [1-x(alpha_i)] w_{s,i} foreach i: w_{s,i} -> x(alpha_i) w_{s,i}
with the function x(alpha)=(alpha/|alpha_0|)^n for alpha<alpha_0 and 1 otherwise.
The threshold can be set by the parameter ‘NLO_SMEAR_THRESHOLD=<alpha_0>’ and the functional form of alpha and thus interpretation of the threshold can be chosen by its sign (positive: relative dipole kT in GeV, negative: dipole alpha). In addition, the exponent n can be set by ‘NLO_SMEAR_POWER=<n>’.
Sherpa takes information about the renormalization scheme from the loop ME generator.
The default scheme is MSbar, and this is assumed if no loop ME is provided,
for example when integrated subtraction terms are computed by themselves.
This can lead to inconsistencies when combining event samples, which may be avoided
by setting ‘LOOP_ME_INIT=1’ in the (run)
section of the input file.
To check whether the poles of the dipole subtraction and the interfaced
one-loop matrix element cancel phase space point by phase space point
CHECK_POLES=1
can be specified. The accuracy to which the poles
do have to cancel can be set via CHECK_POLES_THRESHOLD=<accu>
.
In the same way, the finite contributions of the infrared subtraction
and the one-loop matrix element can be checked by setting
CHECK_FINITE=1
, and the Born matrix element via CHECK_BORN=1
.
There are several ways to compute the effects of changing the scales and PDFs of any event produced by Sherpa. They can computed explicitly, cf. Explicit scale variations, on-the-fly, cf. Scale and PDF variations (restricted to multiplicative factors), or reconstructed a posteriori. The latter method needs plenty of additional information in the event record and is (depending on the actual calculation) available in two formats:
7.1 A posteriori scale and PDF variations using the HepMC GenEvent Output | ||
7.2 A posteriori scale and PDF variations using the ROOT NTuple Output |
Events generated in a LO, LOPS, NLO, NLOPS, MEPS@LO, MEPS@NLO or MENLOPS
calculation can be written out in the HepMC format including all infomation to
carry out arbitrary scale variations a posteriori. For this feature HepMC of at
least version 2.06 is necessary and both HEPMC_USE_NAMED_WEIGHTS=1
and
HEPMC_EXTENDED_WEIGHTS=1
have to enabled. Detailed instructions on
how to use this information to construct the new event weight can be found
here https://sherpa.hepforge.org/doc/ScaleVariations-Sherpa-2.2.0.pdf.
Events generated at fixed-order LO and NLO can be stored in ROOT NTuples that allow arbitrary a posteriori scale and PDF variations, see Event output formats. An example for writing and reading in such ROOT NTuples can be found here: Production of NTuples. The internal ROOT Tree has the following Branches:
Event ID to identify correlated real sub-events.
Number of outgoing partons.
Momentum components of the partons.
Parton PDG code.
Event weight, if sub-event is treated independently.
Event weight, if correlated sub-events are treated as single event.
ME weight (w/o PDF), corresponds to ’weight’.
ME weight (w/o PDF), corresponds to ’weight2’.
PDG code of incoming parton 1.
PDG code of incoming parton 2.
Factorisation scale.
Renormalisation scale.
Bjorken-x of incoming parton 1.
Bjorken-x of incoming parton 2.
x’ for I-piece of incoming parton 1.
x’ for I-piece of incoming parton 2.
Number of additional ME weights for loops and integrated subtraction terms.
Additional ME weights for loops and integrated subtraction terms.
Real correction events and their counter-events from subtraction terms are highly correlated and exhibit large cancellations. Although a treatment of sub-events as independent events leads to the correct cross section the statistical error would be greatly overestimated. In order to get a realistic statistical error sub-events belonging to the same event must be combined before added to the total cross section or a histogram bin of a differential cross section. Since in general each sub-event comes with it’s own set of four momenta the following treatment becomes necessary:
weight2
of all
sub-events that go into the same histogram bin. These sums x_id
are the
quantities to enter the actual histogram.
x_id
and the sum over all x_id^2
. The cross section in the bin is
given by <x> = 1/N \sum x_id
, where N
is the number of events
(not sub-events). The 1-\sigma
statistical error for the bin is
\sqrt{ (<x^2>-<x>^2)/(N-1) }
Note: The main difference between weight
and weight2
is that they
refer to a different counting of events. While weight
corresponds to
each event entry (sub-event) counted separately, weight2
counts events
as defined in step 1 of the above procedure. For NLO pieces other than the real
correction weight
and weight2
are identical.
Born and real pieces:
Notation:
f_a(x_a) = PDF 1 applied on parton a,
F_b(x_b) = PDF 2 applied on parton b.
The total cross section weight is given by
weight = me_wgt f_a(x_a)F_b(x_b).
Loop piece and integrated subtraction terms:
The weights here have an explicit dependence on the renormalization and factorization scales.
To take care of the renormalization scale dependence (other than via
alpha_S
) the weight w_0
is defined as
w_0 = me_wgt + usr_wgts[0] log((\mu_R^new)^2/(\mu_R^old)^2)
+ usr_wgts[1] 1/2 [log((\mu_R^new)^2/(\mu_R^old)^2)]^2.
To address the factorization scale dependence the weights w_1,...,w_8
are given by
w_i = usr_wgts[i+1] + usr_wgts[i+9] log((\mu_F^new)^2/(\mu_F^old)^2).
The full cross section weight can be calculated as
weight = w_0 f_a(x_a)F_b(x_b)
+ (f_a^1 w_1 + f_a^2 w_2 + f_a^3 w_3 + f_a^4 w_4) F_b(x_b)
+ (F_b^1 w_5 + F_b^2 w_6 + F_b^3 w_7 + F_b^4 w_8) f_a(x_a)
where
f_a^1 = f_a(x_a) (a=quark), \sum_q f_q(x_a) (a=gluon),
f_a^2 = f_a(x_a/x'_a)/x'_a (a=quark), \sum_q f_q(x_a/x'_a)x'_a (a=gluon),
f_a^3 = f_g(x_a),
f_a^4 = f_g(x_a/x'_a)/x'_a.
The scale dependence coefficients usr_wgts[0]
and usr_wgts[1]
are normally obtained from the finite part of the virtual correction by
removing renormalization terms and universal terms from dipole subtraction.
This may be undesirable, especially when the loop provider splits up
the calculation of the virtual correction into several pieces, like
leading and sub-leading color. In this case the loop provider should
control the scale dependence coefficients, which can be enforced with
option ‘USR_WGT_MODE=0;’ in the (run)
section of Sherpa’s
input file.
The loop provider must support this option or the scale dependence coefficients will be invalid!
Customizing Sherpa according to your needs.
Sherpa can be easily extended with certain user defined tools. To this extent, a corresponding C++ class must be written, and compiled into an external library:
g++ -shared \ -I`$SHERPA_PREFIX/bin/Sherpa-config --incdir` \ `$SHERPA_PREFIX/bin/Sherpa-config --ldflags` \ -o libMyCustomClass.so My_Custom_Class.C
This library can then be loaded in Sherpa at runtime with the switch
SHERPA_LDADD
, e.g.:
SHERPA_LDADD=MyCustomClass
Several specific examples of features which can be extended in this way are listed in the following sections.
8.1 Exotic physics | How to introduce your own models to Sherpa. Example: Z-prime. | |
8.2 Custom scale setter | How to write a custom calculator for factorisation and renormalisation scale | |
8.3 External one-loop ME | How to interface external one-loop codes. | |
8.4 External RNG | How to add an external random number generator. | |
8.5 External PDF | How to add an external PDF. | |
8.6 Python Interface | How to make Sherpa talk to your Python script. |
It is possible to add your own models to Sherpa in a straightforward way.
To illustrate, a simple example has been included in the directory
Examples/Models/SM_ZPrime
, showing how to add a Z-prime boson to
the Standard Model.
The important features of this example include:
SM_Zprime.C
file.
This file contains the initialisation of the Z-prime boson. The properties of the Z-prime are set here, such as mass, width, electromagnetic charge, spin etc.
Interaction_Model_SM_Zprime.C
file.
This file contains the definition of the Z-prime boson’s interactions. The right- and left-handed couplings to each of the fermions are set here.
Makefile
.
This shows how to compile the sources above into a shared library.
SHERPA_LDADD SMZprime
in the run-card.
This line tells Sherpa to load the extra libraries created from the *.C files above.
MODEL SM+Zprime
in the run-card.
This line tells Sherpa which model to use for the run.
MASS[32] 1000.
and WIDTH[32] 50.
in the run-card.
These lines show how you can overrule the choices you made for the
properties of the new particle in the SM_Zprime.C
file. For
more information on changing parameters in Sherpa, see
Input structure and Parameters.
Zp_cpl_L 0.3
and Zp_cpl_R 0.6
set the
couplings to left and right handed fermions in the run-card.
To use this model, create the libraries for Sherpa to use by running
make
in this directory. Then run Sherpa as normal:
../../../bin/Sherpa
To implement your own model, copy these example files anywhere and modify them according to your needs.
Note: You don’t have to modify or recompile any part of Sherpa to use your
model. As long as the SHERPA_LDADD
parameter is specified as above,
Sherpa will pick up your model automatically.
Furthermore note: New physics models with an existing implementation in FeynRules, cf. [Chr08] and [Chr09], can directly be invoked using Sherpa’s support for the UFO model format, see UFO Model Interface.
You can write a custom calculator to set the factorisation, renormalisation and
resummation scales. It has to be implemented as a C++ class which derives from
the Scale_Setter_Base
base class and implements only the constructor and
the Calculate
method.
Here is a snippet for a very simple one, which sets all three scales to the invariant mass of the two incoming partons.
#include "PHASIC++/Scales/Scale_Setter_Base.H" #include "ATOOLS/Org/Message.H" using namespace PHASIC; using namespace ATOOLS; namespace PHASIC { class Custom_Scale_Setter: public Scale_Setter_Base { protected: public: Custom_Scale_Setter(const Scale_Setter_Arguments &args) : Scale_Setter_Base(args) { m_scale.resize(3); // by default three scales: fac, ren, res // but you can add more if you need for COUPLINGS SetCouplings(); // the default value of COUPLINGS is "Alpha_QCD 1", i.e. // m_scale[1] is used for running alpha_s // (counting starts at zero!) } double Calculate(const std::vector<ATOOLS::Vec4D> &p, const size_t &mode) { double muF=(p[0]+p[1]).Abs2(); double muR=(p[0]+p[1]).Abs2(); double muQ=(p[0]+p[1]).Abs2(); m_scale[stp::fac] = muF; m_scale[stp::ren] = muR; m_scale[stp::res] = muQ; // Switch on debugging output for this class with: // Sherpa "OUTPUT=2[Custom_Scale_Setter|15]" DEBUG_FUNC("Calculated scales:"); DEBUG_VAR(m_scale[stp::fac]); DEBUG_VAR(m_scale[stp::ren]); DEBUG_VAR(m_scale[stp::res]); return m_scale[stp::fac]; } }; } // Some plugin magic to make it available for SCALES=CUSTOM DECLARE_GETTER(Custom_Scale_Setter,"CUSTOM", Scale_Setter_Base,Scale_Setter_Arguments); Scale_Setter_Base *ATOOLS::Getter <Scale_Setter_Base,Scale_Setter_Arguments,Custom_Scale_Setter>:: operator()(const Scale_Setter_Arguments &args) const { return new Custom_Scale_Setter(args); } void ATOOLS::Getter<Scale_Setter_Base,Scale_Setter_Arguments, Custom_Scale_Setter>:: PrintInfo(std::ostream &str,const size_t width) const { str<<"Custom scale scheme"; }
If the code is compiled into a library called libCustomScale.so, then this library is loaded dynamically at runtime with the switch ‘SHERPA_LDADD=CustomScale’ either on the command line or in the run section, cf. Customization. This then allows to use the custom scale like a built-in scale setter by specifying ‘SCALES=CUSTOM’ (cf. SCALES).
Sherpa includes only a very limited selection of one-loop matrix elements. To make full use of the implemented automated dipole subtraction it is possible to link external one-loop codes to Sherpa in order to perform full calculations at QCD next-to-leading order.
In general Sherpa can take care of any piece of the calculation except one-loop matrix elements, i.e. the born ME, the real correction, the real and integrated subtraction terms as well as the phase space integration and PDF weights for hadron collisions. Sherpa will provide sets of four-momenta and request for a specific parton level process the helicity and colour summed one-loop matrix element (more specific: the coefficients of the Laurent series in the dimensional regularization parameter epsilon up to the order epsilon^0).
An example setup for interfacing such an external one-loop code, following
the Binoth Les Houches interface proposal [Bin10a] of the
2009 Les Houches workshop, is provided in Zbb production. To use
the LH-OLE interface, Sherpa has to be configured with --enable-lhole
.
The interface:
OLE_order.lh
.
The external one-loop code (OLE) should confirm these settings/requests
and write out a file OLE_contract.lh
. Both filenames can be customised
using LHOLE_ORDERFILE=<order-file>
and
<LHOLE_CONTRACTFILE=<contract-file>
. For their syntax and
details see [Bin10a].
For Sherpa the output/input of the order/contract file is handled
in LH_OLE_Communicator.[CH]
.
The actual interface is contained in LH_OLE_Interface.C
.
The parameters to be exchanged with the OLE are defined in the
latter file via
lhfile.AddParameter(...);
and might require an update for specific OLE or processes. Per default,
in addition to the standard options MatrixElementSquareType
,
CorrectionType
, IRregularisation
, AlphasPower
,
AlphaPower
and OperationMode
the masses and width of the
W, Z and Higgs bosons and the top and bottom quarks are written out
in free format, such that the respective OLE parameters can be easily
synchronised.
void OLP_Start(const char * filename); void OLP_EvalSubProcess(int,double*,double,double,double*);
which are defined and called in LH_OLE_Interface.C
must be specified.
For keywords and possible data fields passed with this functions
see [Bin10a].
The function OLP_Start(...)
is called once when Sherpa is starting.
The function OLP_EvalSubProcess(...)
will be called many times
for different subprocesses and momentum configurations.
The setup (cf. example Zbb production):
Loop_Generator LHOLE
tells the code to use
the interface for computing one-loop matrix elements.
SHERPA_LDADD
has to be set to the appropriate
library name (and path) of the one-loop generator.
LHOLE_IR_REGULARISATION
. Possible values are DRED
(default)
and CDR
.
LHOLE_BOOST_TO_CMS=1
is set, these phase space points are boosted to
the centre of mass system before they are passed to the OLE.
LHOLE_OLP=GoSam
. The LHOLE_BOOST_TO_CMS
is also automatically
active with this setup. This, of course, can be adapted for other one-loop
programs if need be.
--enable-analysis
must be include on the command line when
Sherpa is configured, see ANALYSIS.
To use an external Random Number Generator (RNG) in Sherpa, you need to provide an interface to your RNG in an external dynamic library. This library is then loaded at runtime and Sherpa replaces the internal RNG with the one provided.
In this case Sherpa will not attempt to set, save, read or restore the RNG
The corresponding code for the RNG interface is
#include "ATOOLS/Math/Random.H" using namespace ATOOLS; class Example_RNG: public External_RNG { public: double Get() { // your code goes here ... } };// end of class Example_RNG // this makes Example_RNG loadable in Sherpa DECLARE_GETTER(Example_RNG,"Example_RNG",External_RNG,RNG_Key); External_RNG *ATOOLS::Getter<External_RNG,RNG_Key,Example_RNG>::operator()(const RNG_Key &) const { return new Example_RNG(); } // this eventually prints a help message void ATOOLS::Getter<External_RNG,RNG_Key,Example_RNG>::PrintInfo(std::ostream &str,const size_t) const { str<<"example RNG interface"; }
If the code is compiled into a library called libExampleRNG.so, then this library is loaded dynamically in Sherpa using the command ‘SHERPA_LDADD=ExampleRNG’ either on the command line or in ‘Run.dat’. If the library is bound at compile time, like e.g. in cmt, you may skip this step.
Finally Sherpa is instructed to retrieve the external RNG by specifying ‘EXTERNAL_RNG=Example_RNG’ on the command line or in ‘Run.dat’.
To use an external PDF (not included in LHAPDF) in Sherpa, you need to provide an interface to your PDF in an external dynamic library. This library is then loaded at runtime and it is possible within Sherpa to access all PDFs included.
The simplest C++ code to implement your interface looks as follows
#include "PDF/Main/PDF_Base.H" using namespace PDF; class Example_PDF: public PDF_Base { public: void Calculate(double x,double Q2) { // calculate values x f_a(x,Q2) for all a } double GetXPDF(const ATOOLS::Flavour a) { // return x f_a(x,Q2) } virtual PDF_Base *GetCopy() { return new Example_PDF(); } };// end of class Example_PDF // this makes Example_PDF loadable in Sherpa DECLARE_PDF_GETTER(Example_PDF_Getter); PDF_Base *Example_PDF_Getter::operator()(const Parameter_Type &args) const { return new Example_PDF(); } // this eventually prints a help message void Example_PDF_Getter::PrintInfo (std::ostream &str,const size_t width) const { str<<"example PDF"; } // this lets Sherpa initialize and unload the library Example_PDF_Getter *p_get=NULL; extern "C" void InitPDFLib() { p_get = new Example_PDF_Getter("ExamplePDF"); } extern "C" void ExitPDFLib() { delete p_get; }
If the code is compiled into a library called libExamplePDFSherpa.so, then this library is loaded dynamically in Sherpa using ‘PDF_LIBRARY=ExamplePDFSherpa’ either on the command line, in ‘Run.dat’ or in ‘ISR.dat’. If the library is bound at compile time, like e.g. in cmt, you may skip this step. It is now possible to list all accessible PDF sets by specifying ‘SHOW_PDF_SETS=1’ on the command line.
Finally Sherpa is instructed to retrieve the external PDF by specifying ‘PDF_SET=ExamplePDF’ on the command line, in ‘Run.dat’ or in ‘ISR.dat’.
Certain Sherpa classes and methods can be made available to the Python
interpreter in the form of an extension module. This module can be
loaded in Python and provides access to certain functionalities of the
Sherpa event generator in Python. In order to build the module, Sherpa
must be configured with the option --enable-pyext
. Running
make
then invokes the automated interface generator SWIG
[Bea03] to create the Sherpa module using the Python C/C++
API. SWIG version 2.0.12 or later is required for a successful build.
Problems might occur if more than one version of Python is present on
the system since automake currently doesn’t always handle multiple
Python installations properly. If you have multiple Python versions
installed on your system, please set the PYTHON
environment
variable to the Python 2 executable via
export PYTHON=<path-to-python2>
before executing the configure
script (see.
Certain Sherpa classes and methods can be made available to the Python
interpreter in the form of an extension module. This module can be
loaded in Python and provides access to certain functionalities of the
Sherpa event generator in Python. It was designed specifically for the
computation of matrix elements in python (Using the Python interface) and its
features are currently limited to this purpose. In order to build the
module, Sherpa must be configured with the option --enable-pyext
.
Running make
then invokes the automated interface generator SWIG
[Bea03] to create the Sherpa module using the Python C/C++
API. SWIG version 2.0.12 or later is required for a successful build.
Problems might occur if more than one version of Python is present on
the system since automake currently doesn’t always handle multiple
Python installations properly. A possible workaround is to temporarily
uninstall one version of python, configure and build Sherpa, and then
reinstall the temporarily uninstalled version of Python.
The following script is a minimal example that shows how to use the Sherpa module in Python. In order to load the Sherpa module, the location where it is installed must be added to the PYTHONPATH. There are several ways to do this, in this example the sys module is used. The sys module also allows it to directly pass the command line arguments used to run the script to the initialization routine of Sherpa. The script can thus be executed using the normal command line options of Sherpa (see Command line options). Furthermore it illustrates how exceptions that Sherpa might throw can be taken care of. If a run card is present in the directory where the script is executed, the initialization of the generator causes Sherpa to compute the cross sections for the processes specified in the run card. See Computing matrix elements for idividual phase space points using the Python Interface for an example that shows how to use the Python interface to compute matrix elements or Generate events using scripts to see how the interface can be used to generate events in Python.
Note that if you have compiled Sherpa with MPI support, you need to
source the mpi4py module using
from mpi4py import MPI
.
#!/usr/bin/python import sys sys.path.append('<sherpa-prefix>/lib/<your-python-version>/site-packages/>') import Sherpa # set up the generator Generator=Sherpa.Sherpa() try: # initialize the generator, pass command line arguments to initialization routine Generator.InitializeTheRun(len(sys.argv),sys.argv) # catch exceptions except Sherpa.Exception as exc: print exc
Some example set-ups are included in Sherpa, in the
<prefix>/share/SHERPA-MC/Examples/
directory. These may be useful to
new users to practice with, or as templates for creating your
own Sherpa run-cards. In this section, we will look at some
of the main features of these examples.
9.1.1 W+jets production | ||
9.1.2 Z+jets production | ||
9.1.3 W+bb production | ||
9.1.4 Zbb production | ||
9.1.5 Zbb Fusing |
To change any of the following LHC examples to production at different collider energies or beam types, e.g. proton anti-proton at the Tevatron, simply change the beam settings to.
This is an example setup for inclusive W production at hadron colliders.
The inclusive process is calculated at next-to-leading order accuracy matched
to the parton shower using the MC@NLO prescription detailed in
[Hoe11]. The next few higher jet multiplicities, calculated at
next-to-leading order as well, are merged into the inclusive sample using
the MEPS@NLO method - an extension of the CKKW method to NLO - as described
in [Hoe12a] and [Geh12]. Finally, even higher
multiplicities, calculated at leading order, are merged on top of that.
A few things to note are detailed below the example. The example can be
converted into a simple MENLOPS setup by setting LJET:=2
, or an MEPS
setup by setting LJET:=0
, to study the effect of incorporating
higher-order matrix elements. The number of additional LO jets can be varied
through NJET
. Similarly, the merging cut can be changed through
QCUT
.
(run){ % general setting EVENTS 1M; ERROR 0.99; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; ## % optional: extra tags for custom jet criterion ## SHERPA_LDADD MyJetCriterion; ## JET_CRITERION FASTJET[A:antikt,R:0.4,y:5]; % tags for process setup NJET:=4; LJET:=2,3,4; QCUT:=20.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=BlackHat; % exclude tau from lepton container MASSIVE[15] 1; % collider setup BEAM_1 2212; BEAM_ENERGY_1 = 4000.; BEAM_2 2212; BEAM_ENERGY_2 = 4000.; }(run) (processes){ Process 93 93 -> 90 91 93{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Integration_Error 0.02 {4}; Integration_Error 0.02 {5}; Integration_Error 0.05 {6}; Integration_Error 0.08 {7}; Integration_Error 0.10 {8}; Scales LOOSE_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2} {7,8}; End process; }(processes) (selector){ Mass 11 -12 1. E_CMS Mass 13 -14 1. E_CMS Mass -11 12 1. E_CMS Mass -13 14 1. E_CMS }(selector)
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced throughout the entire run card by
their defined value, see Tags.
FSF:=4.0
.
LJET
, NJET
and QCUT
) have been introduced
to be used in the process setup, defining the multiplicity of the MC@NLO
subprocesses, the maximal number of extra jets, and the merging cut.
LOOPGEN
tag is used to name the provider of the one-loop
matrix elements for the respective multiplicities. For the simplemost case
here Sherpa can provide it internally.
90
).
ME_Generator Amegic {LJET}
. Additionally, we
specify RS_ME_Generator Comix {LJET}
such that the subtracted
real-emission bit of the NLO matrix elements is calculated more efficiently
with Comix instead of Amegic.
LOOSE_METS
scale setter, a simplified version of the
METS
scale setter, is used for the highest multiplicities (if
NJET
is set to 5
or 6
) to speed up the calculation.
The jet criterion used to define the matrix element multiplicity in the
context of multijet merging can be supplied by the user. As an example
the source code file ./Examples/V_plus_Jets/LHC_WJets/My_JetCriterion.C
provides such an alternative jet criterion. It can be compiled using
SCons
via executing scons
in that directory (edit the
SConstruct
file accordingly). The newly created library is linked
at run time using the SHERPA_LDADD
flag.
The new jet criterion is then evoked by JET_CRITERION
.
To change any of the following LHC examples to production at different collider energies or beam types, e.g. proton anti-proton at the Tevatron, simply change the beam settings to.
This is an example setup for inclusive Z production at hadron colliders.
The inclusive process is calculated at next-to-leading order accuracy matched
to the parton shower using the MC@NLO prescription detailed in
[Hoe11]. The next few higher jet multiplicities, calculated at
next-to-leading order as well, are merged into the inclusive sample using
the MEPS@NLO method - an extension of the CKKW method to NLO - as described
in [Hoe12a] and [Geh12]. Finally, even higher
multiplicities, calculated at leading order, are merged on top of that.
A few things to note are detailed below the example. The example can be
converted into a simple MENLOPS setup by setting LJET:=2
, or an MEPS
setup by setting LJET:=0
, to study the effect of incorporating
full NLO matrix elements. The number of additional LO jets can be varied
through NJET
. Similarly, the merging cut can be changed through
QCUT
.
(run){ % general setting EVENTS 1M; ERROR 0.99; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup NJET:=4; LJET:=2,3,4; QCUT:=20.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=BlackHat; % exclude tau from lepton container MASSIVE[15] 1; % collider setup BEAM_1 2212; BEAM_ENERGY_1 = 4000.; BEAM_2 2212; BEAM_ENERGY_2 = 4000.; }(run) (processes){ Process 93 93 -> 90 90 93{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Integration_Error 0.02 {4}; Integration_Error 0.02 {5}; Integration_Error 0.05 {6}; Integration_Error 0.08 {7}; Integration_Error 0.10 {8}; Scales LOOSE_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2} {7,8}; End process; }(processes) (selector){ Mass 11 -11 66 E_CMS Mass 13 -13 66 E_CMS }(selector)
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced throughout the entire run card by
their defined value, see Tags.
LJET
, NJET
and QCUT
) have been introduced
to be used in the process setup, defining the multiplicity of the MC@NLO
subprocesses, the maximal number of extra jets, and the merging cut.
LOOPGEN
tag is used to name the provider of the one-loop
matrix elements for the respective multiplicities. For complicated processes
this needs external one-loop programs like BlackHat, GoSam or OpenLoops.
90
).
ME_Generator Amegic {LJET}
. Additionally, we
specify RS_ME_Generator Comix {LJET}
such that the subtracted
real-emission bit of the NLO matrix elements is calculated more efficiently
with Comix instead of Amegic.
LOOSE_METS
scale setter, a simplified version of the
METS
scale setter, is used for the highest multiplicities (if
NJET
is set to 5
or 6
) to speed up the calculation.
(run){ # generator parameters EVENTS 0; LGEN:=Wbb; ME_SIGNAL_GENERATOR Comix Amegic LGEN; HARD_DECAYS 1; HARD_MASS_SMEARING 0; MASSIVE[5] 1; WIDTH[24] 0; STABLE[24] 0; HDH_STATUS[24,12,-11]=2; MI_HANDLER None; # physics parameters BEAM_1 2212; BEAM_ENERGY_1 7000; BEAM_2 2212; BEAM_ENERGY_2 7000; SCALES VAR{H_T2+sqr(80.419)}; PDF_LIBRARY MSTW08Sherpa; PDF_SET mstw2008nlo_nf4; MASS[5] 4.75;# consistent with MSTW 2008 nf 4 set }(run); (processes){ Process 93 93 -> 24 5 -5; NLO_QCD_Mode MC@NLO; ME_Generator Amegic; RS_ME_Generator Comix; Loop_Generator LGEN; Order (*,1); End process; Process 93 93 -> -24 5 -5; NLO_QCD_Mode MC@NLO; ME_Generator Amegic; RS_ME_Generator Comix; Loop_Generator LGEN; Order (*,1); End process; }(processes); (selector){ FastjetFinder antikt 2 5 0 0.5 0.75 5 100 2; }(selector);
Things to notice:
(run){ # generator parameters EVENTS 0; LGEN:=LHOLE; ME_SIGNAL_GENERATOR Comix Amegic LGEN; HARD_DECAYS 1; HARD_MASS_SMEARING 0; MASSIVE[5] 1; WIDTH[23] 0; STABLE[23] 0; HDH_STATUS[23,11,-11]=2 HDH_STATUS[23,13,-13]=2 MI_HANDLER None; FRAGMENTATION Off; # physics parameters BEAM_1 2212; BEAM_ENERGY_1 7000; BEAM_2 2212; BEAM_ENERGY_2 7000; SCALES VAR{H_T2+sqr(91.188)}; PDF_LIBRARY MSTW08Sherpa; PDF_SET mstw2008nlo_nf4; MASS[5] 4.75;# consistent with MSTW 2008 nf 4 set }(run); (processes){ Process 93 93 -> 23 5 -5; NLO_QCD_Mode MC@NLO; ME_Generator Amegic; RS_ME_Generator Comix; Loop_Generator LGEN; Order (*,1); End process; }(processes); (selector){ FastjetFinder antikt 2 5 0 0.5 0.75 5 100 2; }(selector);
Things to notice:
The fusing algorithm as introduced in [Hoe19] aims for a consistent, combined prediction of a 4FS simulation and a merged 5FS prediction. The new simulation is hereby formed as sum of two components. First, the direct component is given by the 4FS calculation. It is reformulated as if it would be part of a merged simulation and while doing so, the Sudakov rejection by the parton shower will actually remove events. The fragmentation component then is given by the original, merged 5FS simulation. All configurations which are already described by the direct component are removed by an event filter.
Since the event filter operates on combined evolution histories, treating actual emissions from the parton shower and clustered emissions from matrix elements on the same footing, it must be ensured that the same cluster options are used everywhere.
The following run card parameters summarize all settings which where used for [Hoe19].
(run){ # general setting EVENTS 1M; INTEGRATION_ERROR 0.05; # me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; LOOPGEN:=OpenLoops; # collider setup BEAM_1 2212; BEAM_ENERGY_1 = 6500.; BEAM_2 2212; BEAM_ENERGY_2 = 6500.; ### Fusing settings direct component SHERPA_LDADD=SherpaFusing; USERHOOK = Fusing_Direct; FUSING_DIRECT_FACTOR 1.; MASSIVE[5]=1 # for a consistent fusing, the parameters have to be chosen identical between # direct and fragmentation component MASS[5]=4.75; # consistent with PDF set COMIX_CLUSTER_RS_ORDERED 1; COMIX_CLUSTER_ORDERED 1; CSS_SCALE_SCHEME 2; CSS_EVOLUTION_SCHEME 3; PP_RS_SCALE VAR{H_TM2}; PP_HPSMODE=0; }(run); (processes){ Process 93 93 -> 11 -11 5 -5; CKKW 100000.0; ## ensures correct Sudakov rejection for Fusing NLO_QCD_Mode MC@NLO; ME_Generator Amegic; RS_ME_Generator Comix; Loop_Generator LOOPGEN; Order (*,2); End process; }(processes); (selector){ Mass 11 -11 66 E_CMS }(selector);
Things to notice:
(run){ # general setting EVENTS 1M; INTEGRATION_ERROR 0.05; # tags for process setup NJET:=4; LJET:=2,3,4; QCUT:=20.; # me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; LOOPGEN:=OpenLoops; # collider setup BEAM_1 2212; BEAM_ENERGY_1 = 6500.; BEAM_2 2212; BEAM_ENERGY_2 = 6500.; ### Fusing settings fragmentation component SHERPA_LDADD=SherpaFusing USERHOOK = Fusing_Fragmentation ## to set event weights instead of rejecting events use: # FUSING_FRAGMENTATION_STORE_AS_WEIGHT=1 # for a consistent fusing, the parameters have to be chosen identical between # direct and fragmentation component MASS[5]=4.75 # consistent with PDF set COMIX_CLUSTER_ORDERED 1; COMIX_CLUSTER_RS_ORDERED 1; CSS_SCALE_SCHEME 2; CSS_EVOLUTION_SCHEME 3; PP_RS_SCALE VAR{H_TM2}; PP_HPSMODE=0; }(run) (processes){ Process 93 93 -> 11 -11 93{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; End process; }(processes) (selector){ Mass 11 -11 66 E_CMS }(selector)
Things to notice:
9.2.1 Jet production | ||
9.2.2 Jets at lepton colliders |
9.2.1.1 MC@NLO setup for dijet and inclusive jet production | ||
9.2.1.2 MEPS setup for jet production |
To change any of the following LHC examples to production at the Tevatron simply change the beam settings to
BEAM_1 2212; BEAM_ENERGY_1 980; BEAM_2 -2212; BEAM_ENERGY_2 980;
This is an example setup for dijet and inclusive jet production at hadron colliders at next-to-leading order precission matched to the parton shower using the MC@NLO prescription detailed in [Hoe11] and [Hoe12b]. A few things to note are detailed below the example.
(run){ % general settings EVENTS 1M; % tags and settings for scale definitions FSF:=1.; RSF:=1.; QSF:=1.; SCALES FASTJET[A:antikt,PT:J1CUT,ET:0,R:0.4,M:0]{FSF*0.0625*H_T2}{RSF*0.0625*H_T2}{QSF*0.25*PPerp2(p[3])} % tags and settings for ME-level cuts J1CUT:=20.; J2CUT:=10.; % tags and settings for ME generators LOOPGEN:=<my-loop-gen>; ME_SIGNAL_GENERATOR Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; RESULT_DIRECTORY res_jJ1CUT_jJ2CUT_ffFSF_rfRSF_qfQSF; % model parameters MODEL SM; % collider setup BEAM_1 2212; BEAM_ENERGY_1 3500.0; BEAM_2 2212; BEAM_ENERGY_2 3500.0; }(run) (processes){ Process 93 93 -> 93 93; NLO_QCD_Mode MC@NLO; Loop_Generator LOOPGEN; Order (*,0); End process; }(processes) (selector){ FastjetFinder antikt 2 J2CUT 0.0 0.4 FastjetFinder antikt 1 J1CUT 0.0 0.4 }(selector)
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced troughout the entire run card by
their defined value, see Tags.
J2CUT
, one of
which has to have pT > J1CUT
.
J1CUT
) found on the ME-level
before any parton shower emission. See SCALES for details on scale
setters.
LOOPGEN
tag. For possible choices see TODO.
NLO_QCD_Mode
is set to MC@NLO
.
(run){ EVENTS 10000; ANALYSIS Rivet; BEAM_1 2212; BEAM_ENERGY_1 3500; BEAM_2 2212; BEAM_ENERGY_2 3500; #ANALYSIS Rivet }(run) (processes){ Process 93 93 -> 93 93 93{0} Order (*,0); CKKW sqr(20/E_CMS) Integration_Error 0.02; End process; }(processes) (selector){ NJetFinder 2 20.0 0.0 0.4 -1 }(selector) (analysis){ BEGIN_RIVET { -a CMS_2012_I1087342 } END_RIVET }(analysis)
Things to notice:
Order
is set to ‘(*,0)’. This
ensures that all final state jets are produced via
the strong interaction.
NJetFinder
selector is used to
set a resolution criterion for the two jets of the core process.
This is necessary because the ‘CKKW’ tag does not apply any cuts to the core
process, but only to the extra-jet matrix elements, see
Multijet merged event generation with Sherpa.
This cut is applied only to the 2->2 process using the {2}
specification, since the higher-order matrix elements should only be cut by
the ME+PS separation criterion.
9.2.2.1 MEPS setup for ee->jets | ||
9.2.2.2 MEPS@NLO setup for ee->jets |
This section contains two setups to describe jet production at LEP I, either through multijet merging at leading order accuracy or at next-to-leading order accuracy.
(run){ ## ANALYSIS Rivet % general settings EVENTS 5M; NJET:=3; % model parameters ALPHAS(MZ) 0.1188; ORDER_ALPHAS 1; % collider setup BEAM_1 11; BEAM_ENERGY_1 45.6; BEAM_2 -11; BEAM_ENERGY_2 45.6; }(run) (processes){ Process 11 -11 -> 93 93 93{NJET}; CKKW pow(10,-2.25); Order (*,2); End process; }(processes) #(analysis){ # BEGIN_RIVET { # -a MC_XS ALEPH_1991_S2435284 ALEPH_1996_S3486095 ALEPH_1999_S4193598 ALEPH_2002_S4823664 ALEPH_2004_S5765862 DELPHI_1995_S3137023 DELPHI_1996_S3430090 DELPHI_1999_S3960137 DELPHI_2000_S4328825 DELPHI_2002_069_CONF_603 DELPHI_2003_WUD_03_11 JADE_OPAL_2000_S4300807 OPAL_1994_S2927284 OPAL_1996_S3257789 OPAL_1998_S3780481 OPAL_2002_S5361494 OPAL_2001_S4553896 OPAL_2004_S6132243 SLD_1996_S3398250 SLD_1999_S3743934 SLD_2002_S4869273 SLD_2004_S5693039 # } END_RIVET; #}(analysis)
This example shows a LEP set up, with electrons and positrons colliding at a centre of mass energy of 91.25GeV. Two processes have been specified, one final state with two or more light quarks and gluons being produced, and one with a b b-bar pair and possibly extra light partons. Four b quark production is also included for consistencies sake.
Things to notice:
(run){ % general settings EVENTS 5M; ERROR 0.1; % tags and settings for scale definitions SCF:=1.0; FSF:=SCF; RSF:=SCF; QSF:=1.0; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup LJET:=2,3,4; NJET:=3; YCUT:=2.0; LMJET:=2; NMJET:=3; YMCUT:=2.0; NMMJET:=1; YMMCUT:=2.0; % tags and settings for ME generators LOOPGEN0:=Internal; LOOPGEN1:=<my-loop-gen-for-3j>; LOOPGEN2:=<my-loop-gen-for-4j>; LOOPMGEN:=<my=loop-gen-for-massive-2j>; ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN0 LOOPGEN1 LOOPGEN2 LOOPMGEN; EVENT_GENERATION_MODE Weighted; AMEGIC_INTEGRATOR 4; % model parameters MODEL SM; ALPHAS(MZ) 0.118; MASSIVE[5] 1; % collider setup BEAM_1 11; BEAM_ENERGY_1 45.6; BEAM_2 -11; BEAM_ENERGY_2 45.6; }(run); (processes){ Process 11 -11 -> 93 93 93{NJET}; Order (*,2); CKKW pow(10,-YCUT); NLO_QCD_Mode MC@NLO {LJET}; Loop_Generator LOOPGEN0 {2}; Loop_Generator LOOPGEN1 {3}; Loop_Generator LOOPGEN2 {4}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; RS_Enhance_Factor 10; End process; % Process 11 -11 -> 5 -5 93{NMJET}; Order (*,2); CKKW pow(10,-YMCUT); NLO_QCD_Mode MC@NLO {LMJET}; Loop_Generator LOOPMGEN {2}; ME_Generator Amegic {LMJET}; RS_ME_Generator Comix {LMJET}; RS_Enhance_Factor 10; End process; % Process 11 -11 -> 5 5 -5 -5 93{NMMJET}; Order (*,2); CKKW pow(10,-YMMCUT); Cut_Core 1; End process; }(processes);
This example expands upon the above setup, elevating its description of hard jet production to next-to-leading order.
Things to notice:
(model)
section of the run-card, parameters relating
to the model can be set. In this example, the value of alpha_s at the
Z mass is set.
This is a setup for inclusive Higgs production through gluon fusion at hadron colliders. The inclusive process is calculated at next-to-leading order accuracy, including all interference effects between Higgs-boson production and the SM gg->yy background. The corresponding matrix elements are taken from [Ber02] and [Dix13].
(run){ # generator parameters EVENTS 1M; LGEN:=Higgs; EVENT_GENERATION_MODE W; AMEGIC_ALLOW_MAPPING 0; ME_SIGNAL_GENERATOR Amegic LGEN; SCALES VAR{Abs2(p[2]+p[3])}; # physics parameters YUKAWA[4] 1.42; YUKAWA[5] 4.8; YUKAWA[15] 1.777; EW_SCHEME 3; # collider parameters BEAM_1 2212; BEAM_ENERGY_1 6500; BEAM_2 2212; BEAM_ENERGY_2 6500; }(run); (processes){ Process 93 93 -> 22 22; NLO_QCD_Mode Fixed_Order; NLO_QCD_Part BVIRS; Order (*,2); Enable_MHV 12; Loop_Generator LGEN; Integrator PS2; RS_Integrator PS3; End process; }(processes); (selector){ HiggsFinder 40 30 2.5 100 150; IsolationCut 22 0.4 2 0.025; }(selector);
Things to notice:
To compute the interference contribution only, as was done in [Dix13],
one can set ‘HIGGS_INTERFERENCE_ONLY 1;’ in the (run){...}(run)
section.
By default, all partonic processes are included in this simulation, however,
it is sensible to disable quark initial states at the leading order. This is achieved
by setting ‘HIGGS_INTERFERENCE_MODE 3;’ in the (run){...}(run)
section.
One can also simulate the production of a spin-2 massive graviton in Sherpa using
the same input card by setting ‘HIGGS_INTERFERENCE_SPIN 2;’ in the
(run){...}(run)
section. Only the massive graviton case is implemented,
specifically the scenario where k_q=k_g. NLO corrections are approximated,
as the gg->X->yy and qq->X->yy loop amplitudes have not been computed so far.
This is an example setup for inclusive Higgs production through
gluon fusion at hadron colliders used in [Hoe14a].
The inclusive process is calculated
at next-to-leading order accuracy matched to the parton shower using
the MC@NLO prescription detailed in [Hoe11]. The next
few higher jet multiplicities, calculated at next-to-leading order as well,
are merged into the inclusive sample using the MEPS@NLO method - an
extension of the CKKW method to NLO - as described in [Hoe12a]
and [Geh12]. Finally, even higher multiplicities, calculated
at leading order, are merged on top of that. A few things to note are
detailed below the example. The example can be converted a simple MENLOPS
setup by setting LJET:=1
, or an MEPS setup by setting LJET:=0
,
to study the effect of incorporating higher-order matrix elements.
(run){ % general settings EVENTS 5M; ERROR 0.1; % tags and settings for scale definitions FSF:=1.0; RSF:=1.0; QSF:=1.0; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup LJET:=1,2,3; NJET:=2; QCUT:=30.; % tags and settings for ME generators LOOPGEN0:=Internal; LOOPGEN1:=MCFM; ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN0 LOOPGEN1; EVENT_GENERATION_MODE Weighted; COMIX_CLUSTER_CORE_CHECK 1; % settings for hard decays HARD_DECAYS On; HDH_STATUS[25,22,22] 2; HDH_BR_WEIGHTS 0; % model parameters MODEL HEFT; MASS[25] 125.; WIDTH[25] 0.; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500; BEAM_2 2212; BEAM_ENERGY_2 6500; }(run); (processes){ Process 93 93 -> 25 93{NJET}; Order (*,0,1); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; Loop_Generator LOOPGEN0 {1,2}; Loop_Generator LOOPGEN1 {3}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; End process; }(processes);
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced throughout the entire run card by
their defined value, see Tags.
LJET
, NJET
and QCUT
) have been introduced
to be used in the process setup, defining the multiplicity of the MC@NLO
subprocesses, the maximal number of extra jets, and the merging cut.
LOOPGEN<i>
tag is used to name the providers of the one-loop
matrix elements for the respective multiplicities. For the two simplemost cases
Sherpa can provide it internally. Additionally, MCFM is interfaced for the
H+2jet process, cf. MCFM interface.
This is example is similar to H+jets production in gluon fusion but with finite top quark mass taken into account as described in [Bu03] for all merged jet multiplicities. Mass effects in the virtual corrections are treated in an approximate way. In case of the tree-level contributions, including real emission corrections, no approximations are made concerning the mass effects.
(run){ % general settings EVENTS 5M; ERROR 0.1; % tags and settings for scale definitions FSF:=1.0; RSF:=1.0; QSF:=1.0; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup LJET:=1,2; NJET:=1; QCUT:=30.; % tags and settings for ME generators ME_SIGNAL_GENERATOR Amegic Internal OpenLoops; EVENT_GENERATION_MODE Weighted; % settings for hard decays HARD_DECAYS On; HDH_STATUS[25,22,22] 2; HDH_BR_WEIGHTS 0; % model parameters MODEL HEFT MASS[25] 125.; WIDTH[25] 0.; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500; BEAM_2 2212; BEAM_ENERGY_2 6500; % finite top mass effects KFACTOR GGH; OL_IGNORE_MODEL 1; OL_PARAMETERS preset 2 allowed_libs pph2,pphj2,pphjj2 psp_tolerance 1.0e-7; }(run); (processes){ Process 93 93 -> 25 93{NJET}; Order (*,0,1); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; Loop_Generator Internal; End process; }(processes);
Things to notice:
This section collects example setups for Higgs boson production in association with vector bosons
9.3.4.1 Higgs production in association with W bosons and jets | ||
9.3.4.2 Higgs production in association with Z bosons and jets | ||
9.3.4.3 Higgs production in association with lepton pairs |
This is an example setup for Higgs boson production in association with a W boson and jets, as used in [Hoe14b]. It uses the MEPS@NLO method to merge pp->WH and pp->WHj at next-to-leading order accuracy and adds pp->WHjj at leading order. The Higgs boson is decayed to W-pairs and all W decay channels resulting in electrons or muons are accounted for, including those with intermediate taus.
(run){ % general settings EVENTS 1M; ERROR 0.1; % scales, tags for scale variations FSF:=1; RSF:=1; QSF:=1; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup NJET:=2; LJET:=2,3; QCUT:=30; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; % define custom particle container for easy process declaration PARTICLE_CONTAINER 900 W 24 -24; PARTICLE_CONTAINER 901 lightflavs 1 -1 2 -2 3 -3 4 -4 21; NLO_CSS_DISALLOW_FLAVOUR 5; % particle properties (ME widths need to be zero if external) WIDTH[24] 0; MASS[25] 125.5; WIDTH[25] 0; STABLE[15] 0; MASSIVE[15] 1; % hard decays setup, specify allowed decay channels, ie.: % h->Wenu, h->Wmunu, h->Wtaunu, W->enu, W->munu, W->taunu, tau->enunu, tau->mununu + cc HARD_DECAYS On; HDH_STATUS[25,24,-12,11]=2; HDH_STATUS[25,24,-14,13]=2; HDH_STATUS[25,24,-16,15]=2; HDH_STATUS[25,-24,12,-11]=2; HDH_STATUS[25,-24,14,-13]=2; HDH_STATUS[25,-24,16,-15]=2; HDH_STATUS[24,12,-11]=2; HDH_STATUS[24,14,-13]=2; HDH_STATUS[24,16,-15]=2; HDH_STATUS[-24,-12,11]=2; HDH_STATUS[-24,-14,13]=2; HDH_STATUS[-24,-16,15]=2; HDH_STATUS[15,16,-12,11]=2; HDH_STATUS[15,16,-14,13]=2; HDH_STATUS[-15,-16,12,-11]=2; HDH_STATUS[-15,-16,14,-13]=2; DECAY_TAU_HARD 1; HDH_BR_WEIGHTS 0; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500; BEAM_2 2212; BEAM_ENERGY_2 6500; }(run); (processes){ Process 901 901 -> 900 25 901{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; End process; }(processes);
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced throughout the entire run card by
their defined value, see Tags.
LJET
, NJET
and QCUT
) have been introduced
to be used in the process setup, defining the multiplicity of the MC@NLO
subprocesses, the maximal number of extra jets, and the merging cut.
LOOPGEN
tag is used to name the provider of the one-loop
matrix elements. Here, OpenLoops [Cas11] is used.
This is an example setup for Higgs boson production in association with a Z boson and jets, as used in [Hoe14b]. It uses the MEPS@NLO method to merge pp->ZH and pp->ZHj at next-to-leading order accuracy and adds pp->ZHjj at leading order. The Higgs boson is decayed to W-pairs. All W and Z bosons are allowed to decay into electrons, muons or tau leptons. The taus are then allowed to decay into all possible partonic channels, leptonic and hadronic, to allow for all possible triplepton signatures, unavoidably producing two and four lepton events as well.
(run){ % general settings EVENTS 1M; ERROR 0.1; % scales, tags for scale variations FSF:=1; RSF:=1; QSF:=1; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup NJET:=2; LJET:=2,3; QCUT:=30; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; % define custom particle container for easy process declaration PARTICLE_CONTAINER 901 lightflavs 1 -1 2 -2 3 -3 4 -4 21; NLO_CSS_DISALLOW_FLAVOUR 5; % particle properties (ME widths need to be zero if external) WIDTH[23] 0; MASS[25] 125.5; WIDTH[25] 0; STABLE[15] 0; MASSIVE[15] 1; % hard decays setup, specify allowed decay channels % h->Wenu, h->Wmunu, h->Wtaunu, W->enu, W->munu, W->taunu, % Z->ee, Z->mumu, Z->tautau, tau->any + cc HARD_DECAYS On; HDH_STATUS[25,24,-12,11]=2; HDH_STATUS[25,24,-14,13]=2; HDH_STATUS[25,24,-16,15]=2; HDH_STATUS[25,-24,12,-11]=2; HDH_STATUS[25,-24,14,-13]=2; HDH_STATUS[25,-24,16,-15]=2; HDH_STATUS[24,12,-11]=2; HDH_STATUS[24,14,-13]=2; HDH_STATUS[24,16,-15]=2; HDH_STATUS[-24,-12,11]=2; HDH_STATUS[-24,-14,13]=2; HDH_STATUS[-24,-16,15]=2; HDH_STATUS[23,15,-15]=2; HDH_STATUS[15,16,-12,11]=2; HDH_STATUS[15,16,-14,13]=2; HDH_STATUS[-15,-16,12,-11]=2; HDH_STATUS[-15,-16,14,-13]=2; HDH_STATUS[15,16,-2,1]=2; HDH_STATUS[15,16,-4,3]=2; HDH_STATUS[15,16,-2,1]=2; HDH_STATUS[-15,-16,4,-3]=2; HDH_STATUS[-15,-16,2,-1]=2; DECAY_TAU_HARD 1; HDH_BR_WEIGHTS 0; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500; BEAM_2 2212; BEAM_ENERGY_2 6500; }(run); (processes){ Process 901 901 -> 23 25 901{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; End process; }(processes);
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced throughout the entire run card by
their defined value, see Tags.
LJET
, NJET
and QCUT
) have been introduced
to be used in the process setup, defining the multiplicity of the MC@NLO
subprocesses, the maximal number of extra jets, and the merging cut.
LOOPGEN
tag is used to name the provider of the one-loop
matrix elements. Here, OpenLoops [Cas11] is used.
This is an example setup for Higgs boson production in association with an electron-positron pair using the MC@NLO technique. The Higgs boson is decayed to b-quark pairs. Contrary to the previous examples this setup does not use on-shell intermediate vector bosons in its matrix element calculation.
(run){ % general settings EVENTS 1M; ERROR 0.1; % scales, tags for scale variations FSF:=1; RSF:=1; QSF:=1; SCLDEF:=Abs2(p[2]+p[3]+p[4]); SCALES VAR{FSF*SCLDEF}{RSF*SCLDEF}{QSF*SCLDEF}; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; % particle properties (ME widths need to be zero if external) MASSIVE[5] 1; MASSIVE[15] 1; STABLE[25] 0; WIDTH[25] 0.; % hard decays setup, specify allowed decay channels % h->bb HARD_DECAYS On; HDH_STATUS[25,5,-5]=2; HDH_BR_WEIGHTS 0; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500; BEAM_2 2212; BEAM_ENERGY_2 6500; }(run); (processes){ Process 93 93 -> 11 -11 25; Order (*,3); NLO_QCD_Mode MC@NLO; Loop_Generator LOOPGEN; ME_Generator Amegic; RS_ME_Generator Comix; End process; }(processes);
Things to notice:
(run){...}(run)
section of the run card.
FSF
, RSF
and QSF
) have been introduced for
easy scale variations. Tags are replaced throughout the entire run card by
their defined value, see Tags. The central scale is set to the
invariant mass of the Higgs boson and the lepton pair.
LOOPGEN
tag is used to name the provider of the one-loop
matrix elements. Here, OpenLoops [Cas11] is used.
This set-up illustrates the interface to an external loop matrix element generator as well as the possibility of specifying hard decays for particles emerging from the hard interaction. The process generated is the production of a Higgs boson in association with a top quark pair from two light partons in the initial state. Each top quark decays into an (anti-)bottom quark and a W boson. The W bosons in turn decay to either quarks or leptons.
(run){ # generator parameters EVENTS 0; LGEN:=TTH; ME_SIGNAL_GENERATOR Amegic LGEN; HARD_DECAYS On; HARD_MASS_SMEARING 0; STABLE[6] 0; STABLE[24] 0; WIDTH[25] 0; WIDTH[6] 0; # physics parameters SCALES VAR{sqr(175+125/2)}; PDF_LIBRARY LHAPDFSherpa; PDF_SET MSTW2008nlo90cl; USE_PDF_ALPHAS 1; # collider parameters BEAM_1 2212; BEAM_ENERGY_1 7000; BEAM_2 2212; BEAM_ENERGY_2 7000; }(run); (processes){ Process 93 93 -> 25 6 -6; NLO_QCD_Mode MC@NLO; Loop_Generator LGEN; Order (*,1); End process; }(processes);
Things to notice:
9.4.1 Top quark pair production | ||
9.4.2 Top quark pair production including approximate EW corrections | ||
9.4.3 Production of a top quark pair in association with a W-boson |
(run){ % general setting EVENTS 1M; ERROR 0.99; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; SCALE_VARIATIONS 0.25,0.25 0.25,1. 1.,0.25 1.,1. 1.,4. 4.,1. 4.,4.; CORE_SCALE QCD; METS_BBAR_MODE 5; % tags for process setup NJET:=3; LJET:=2,3; QCUT:=20.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; % collider setup BEAM_1 2212; BEAM_ENERGY_1 13500.; BEAM_2 2212; BEAM_ENERGY_2 13500.; % decays HARD_DECAYS On; HDH_STATUS[24,2,-1]=0 HDH_STATUS[24,4,-3]=0 HDH_STATUS[-24,-2,1]=0 HDH_STATUS[-24,-4,3]=0 STABLE[24] 0; STABLE[6] 0; WIDTH[6] 0; NLO_SMEAR_THRESHOLD 1; NLO_SMEAR_POWER 2; }(run) (processes){ Process : 93 93 -> 6 -6 93{NJET}; Order (*,0); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Max_N_Quarks 6 {5,6,7,8}; Integration_Error 0.05 {5,6,7,8}; Scales LOOSE_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2} {5,6,7,8}; End process }(processes)
Things to notice:
(run){ % general setting EVENTS 1M; ERROR 0.99; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; SCALE_VARIATIONS 0.25,0.25 0.25,1. 1.,0.25 1.,1. 1.,4. 4.,1. 4.,4.; ASSOCIATED_CONTRIBUTIONS_VARIATIONS EW EW|LO1 EW|LO1|LO2 EW|LO1|LO2|LO3; CORE_SCALE QCD; METS_BBAR_MODE 5; % tags for process setup NJET:=3; LJET:=2,3; QCUT:=20.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; OL_PARAMETERS preset 2 ew_renorm_scheme 1; LOOPGEN:=OpenLoops; % collider setup BEAM_1 2212; BEAM_ENERGY_1 13500.; BEAM_2 2212; BEAM_ENERGY_2 13500.; % decays HARD_DECAYS On; HDH_STATUS[24,2,-1]=0 HDH_STATUS[24,4,-3]=0 HDH_STATUS[-24,-2,1]=0 HDH_STATUS[-24,-4,3]=0 STABLE[24] 0; STABLE[6] 0; WIDTH[6] 0; NLO_SMEAR_THRESHOLD 1; NLO_SMEAR_POWER 2; }(run) (processes){ Process : 93 93 -> 6 -6 93{NJET}; Order (*,0); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Associated_Contributions EW|LO1|LO2|LO3 {2}; Associated_Contributions EW|LO1|LO2|LO3 {3}; Max_N_Quarks 6 {5,6,7,8}; Integration_Error 0.05 {5,6,7,8}; Scales LOOSE_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2} {5,6,7,8}; End process }(processes)
Things to notice:
(run){ % general settings EVENTS 10000; % tags and settings for scale definitions FSF:=1.0; RSF:=1.0; QSF:=1.0; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags and settings for ME generators LGEN:=OpenLoops; ME_SIGNAL_GENERATOR Comix Amegic LGEN; EVENT_GENERATION_MODE Weighted; % settings for hard decays HARD_DECAYS On; HDH_STATUS[24,2,-1]=0; HDH_STATUS[24,4,-3]=0; HDH_STATUS[24,16,-15]=0; % model parameters WIDTH[6] 0; WIDTH[24] 0; % technical parameters EXCLUSIVE_CLUSTER_MODE 1; % collider setup BEAM_1 2212; BEAM_ENERGY_1 4000; BEAM_2 2212; BEAM_ENERGY_2 4000; }(run); (processes){ Process 93 93 -> 6 -6 24; NLO_QCD_Mode MC@NLO; ME_Generator Amegic; RS_ME_Generator Comix; Loop_Generator LGEN; Order (*,1); End process; }(processes);
Things to notice:
In this section, examples for single-top production in three different channels are described. For the channel definitions and a validation of these setups, see [Both17].
9.5.1 t-channel single-top production | ||
9.5.2 t-channel single-top production with N_f=4 | ||
9.5.3 s-channel single-top production | ||
9.5.4 tW-channel single-top production |
# SHERPA run card for t-channel single top-quark production at MC@NLO # and N_f = 5 (run){ # general setting EVENTS 1M # me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN EVENT_GENERATION_MODE Weighted LOOPGEN:=OpenLoops HARD_DECAYS On # scales, tags for scale variations # SCALES STRICT_METS: # use CKKW clustering scale for real/MC@NLO emission # CORESCALE SingleTop: # use Mandelstam \hat{t} for t-channel 2->2 core process SCF:=1.; FSF:=SCF; RSF:=SCF; QSF:=SCF SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2} CORE_SCALE SingleTop # collider setup BEAM_1 2212; BEAM_ENERGY_1 4000 BEAM_2 2212; BEAM_ENERGY_2 4000 # disable hadronic W decays HDH_STATUS[24,2,-1] 0 HDH_STATUS[24,4,-3] 0 HDH_STATUS[-24,-2,1] 0 HDH_STATUS[-24,-4,3] 0 # choose EW Gmu input scheme EW_SCHEME 3 # required for using top-quark in ME WIDTH[6] 0. }(run) (processes){ Process 93 93 -> 6 93 NLO_QCD_Mode MC@NLO Order (*,2) ME_Generator Amegic RS_ME_Generator Comix Loop_Generator LOOPGEN Min_N_TChannels 1 # require t-channel W End process }(processes)
Things to notice:
# SHERPA run card for t-channel single top-quark production at MC@NLO # and N_f = 4 (run){ # general setting EVENTS 1M # me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN EVENT_GENERATION_MODE Weighted LOOPGEN:=OpenLoops HARD_DECAYS On # scales, tags for scale variations # muR = transverse momentum of the bottom # muF = muQ = transverse momentum of the top SCF:=1.; FSF:=SCF; RSF:=SCF; QSF:=SCF rscl2:=MPerp2(p[3]) fscl2:=MPerp2(p[2]) SCALES VAR{FSF*fscl2}{RSF*rscl2}{QSF*fscl2} # collider setup BEAM_1 2212; BEAM_ENERGY_1 4000 BEAM_2 2212; BEAM_ENERGY_2 4000 # disable hadronic W decays HDH_STATUS[24,2,-1] 0 HDH_STATUS[24,4,-3] 0 HDH_STATUS[-24,-2,1] 0 HDH_STATUS[-24,-4,3] 0 # choose EW Gmu input scheme EW_SCHEME 3 # required for using top-quark in ME WIDTH[6] 0. # configure for N_f = 4 PDF_LIBRARY LHAPDFSherpa PDF_SET NNPDF30_nlo_as_0118_nf_4 USE_PDF_ALPHAS 1 MASS[5] 4.18 # as in NNPDF30_nlo_as_0118_nf_4 MASSIVE[5] 1 }(run) (processes){ Process 93 93 -> 6 -5 93 NLO_QCD_Mode MC@NLO Order (*,2) ME_Generator Amegic RS_ME_Generator Comix Loop_Generator LOOPGEN Min_N_TChannels 1 # require t-channel W End process }(processes)
Things to notice:
# SHERPA run card for s-channel single top-quark production at MC@NLO # and N_f = 5 (run){ # general setting EVENTS 1M # me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN EVENT_GENERATION_MODE Weighted LOOPGEN:=OpenLoops HARD_DECAYS On # scales, tags for scale variations # SCALES STRICT_METS: # use CKKW clustering scale for real/MC@NLO emission # CORESCALE SingleTop: # use Mandelstam \hat{s} for s-channel 2->2 core process SCF:=1.; FSF:=SCF; RSF:=SCF; QSF:=SCF SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2} CORE_SCALE SingleTop # collider setup BEAM_1 2212; BEAM_ENERGY_1 4000 BEAM_2 2212; BEAM_ENERGY_2 4000 # disable hadronic W decays HDH_STATUS[24,2,-1] 0 HDH_STATUS[24,4,-3] 0 HDH_STATUS[-24,-2,1] 0 HDH_STATUS[-24,-4,3] 0 # choose EW Gmu input scheme EW_SCHEME 3 # required for using top-quark in ME WIDTH[6] 0. # there is no bottom in the initial-state in s-channel production PARTICLE_CONTAINER 900 lj 1 -1 2 -2 3 -3 4 -4 21 }(run) (processes){ Process 900 900 -> 6 93 NLO_QCD_Mode MC@NLO Order (*,2) ME_Generator Amegic RS_ME_Generator Comix Loop_Generator LOOPGEN Max_N_TChannels 0 # require s-channel W End process }(processes)
Things to notice:
# SHERPA run card for tW-channel single top-quark production at MC@NLO # and N_f = 5 (run){ # general setting EVENTS 1M # me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN EVENT_GENERATION_MODE Weighted LOOPGEN:=OpenLoops HARD_DECAYS On # scales, tags for scale variations # mu = transverse momentum of the top SCF:=1.; FSF:=SCF; RSF:=SCF; QSF:=SCF; scl2:=MPerp2(p[3]); SCALES VAR{FSF*scl2}{RSF*scl2}{QSF*scl2}; # collider setup BEAM_1 2212; BEAM_ENERGY_1 4000 BEAM_2 2212; BEAM_ENERGY_2 4000 # disable hadronic W decays HDH_STATUS[24,2,-1] 0 HDH_STATUS[24,4,-3] 0 HDH_STATUS[-24,-2,1] 0 HDH_STATUS[-24,-4,3] 0 # choose EW Gmu input scheme EW_SCHEME 3 # required for using top-quark/W-boson in ME WIDTH[6] 0. WIDTH[24] 0. }(run) (processes){ Process 93 93 -> 6 -24 No_Decay -6 # remove ttbar diagrams NLO_QCD_Mode MC@NLO Order (*,1) ME_Generator Amegic RS_ME_Generator Comix Loop_Generator LOOPGEN End process }(processes)
Things to notice:
(run){ % general settings EVENTS 1M; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup NJET:=3; LJET:=4,5; QCUT:=30.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; EXCLUSIVE_CLUSTER_MODE 1; METS_CLUSTER_MODE 16; % define parton container without b-quarks to % remove any processes with top contributions PARTICLE_CONTAINER 901 lightflavs 1 -1 2 -2 3 -3 4 -4 21; NLO_CSS_DISALLOW_FLAVOUR 5; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500.; BEAM_2 2212; BEAM_ENERGY_2 6500.; }(run) (processes){ Process 901 901 -> 90 91 90 91 901{NJET}; Order (*,4); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Integration_Error 0.05 {5,6,7,8}; End process; }(processes) (selector){ "PT" 90 5.0,E_CMS:5.0,E_CMS [PT_UP] Mass 11 -11 10.0 E_CMS Mass 13 -13 10.0 E_CMS Mass 15 -15 10.0 E_CMS }(selector)
Things to notice:
(run){ % general settings EVENTS 1M; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; CORE_SCALE VAR{Abs2(p[2]+p[3]+p[4]+p[5])/4.0}; EXCLUSIVE_CLUSTER_MODE 1; % tags for process setup NJET:=1; QCUT:=20; % me generator settings ME_SIGNAL_GENERATOR Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; AMEGIC_ALLOW_MAPPING 0; % the following phase space libraries have to be generated with the % corresponding qq->llvv setup (RUNDATA=Run.tree.dat) first; % they will appear in Process/Amegic/lib/libProc_fsrchannels*.so SHERPA_LDADD Proc_fsrchannels4 Proc_fsrchannels5; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500.; BEAM_2 2212; BEAM_ENERGY_2 6500.; }(run) (processes){ Process 93 93 -> 90 90 91 91 93{1}; CKKW sqr(QCUT/E_CMS); Order (2,4) {4}; Order (3,4) {5}; Integrator fsrchannels4 {4}; Integrator fsrchannels5 {5}; Enable_MHV 10; # initialises external process Loop_Generator LOOPGEN; Integration_Error 0.02 {5}; End process; }(processes) (selector){ Mass 11 -11 10.0 E_CMS; Mass 13 -13 10.0 E_CMS; Mass 15 -15 10.0 E_CMS; }(selector)
Things to notice:
(run){ % general settings EVENTS 1M; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; % tags for process setup NJET:=3; LJET:=4,5; QCUT:=30.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; EXCLUSIVE_CLUSTER_MODE 1; METS_CLUSTER_MODE 16; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500.; BEAM_2 2212; BEAM_ENERGY_2 6500.; }(run) (processes){ Process 93 93 -> 90 90 90 90 93{NJET}; Order (*,4); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Integration_Error 0.05 {5,6,7,8}; End process; }(processes) (selector){ "PT" 90 5.0,E_CMS:5.0,E_CMS [PT_UP] Mass 11 -11 10.0 E_CMS Mass 13 -13 10.0 E_CMS Mass 15 -15 10.0 E_CMS }(selector)
Things to notice:
(run){ % general settings EVENTS 1M; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; CORE_SCALE VAR{Abs2(p[2]+p[3]+p[4]+p[5])/4.0}; EXCLUSIVE_CLUSTER_MODE 1; % tags for process setup NJET:=1; QCUT:=20; % me generator settings ME_SIGNAL_GENERATOR Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; AMEGIC_ALLOW_MAPPING 0; % the following phase space libraries have to be generated with the % corresponding qq->llll setup (RUNDATA=Run.tree.dat) first; % they will appear in Process/Amegic/lib/libProc_fsrchannels*.so SHERPA_LDADD Proc_fsrchannels4 Proc_fsrchannels5; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500.; BEAM_2 2212; BEAM_ENERGY_2 6500.; }(run) (processes){ Process 93 93 -> 90 90 90 90 93{1}; CKKW sqr(QCUT/E_CMS); Order (2,4) {4}; Order (3,4) {5}; Integrator fsrchannels4 {4}; Integrator fsrchannels5 {5}; Enable_MHV 10; # initialises external process Loop_Generator LOOPGEN; Integration_Error 0.02 {5}; End process; }(processes) (selector){ Mass 11 -11 10.0 E_CMS; Mass 13 -13 10.0 E_CMS; Mass 15 -15 10.0 E_CMS; }(selector)
Things to notice:
(run){ % general settings EVENTS 1M; % scales, tags for scale variations FSF:=1.; RSF:=1.; QSF:=1.; SCALES METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; CORE_SCALE VAR{Abs2(p[2]+p[3])/4.0}; EXCLUSIVE_CLUSTER_MODE 1; % tags for process setup NJET:=3; LJET:=2,3; QCUT:=30.; % me generator settings ME_SIGNAL_GENERATOR Comix Amegic LOOPGEN; EVENT_GENERATION_MODE Weighted; LOOPGEN:=OpenLoops; % decay setup HARD_DECAYS On; WIDTH[23] 0; WIDTH[24] 0; HDH_STATUS[24,2,-1] 2; HDH_STATUS[24,4,-3] 2; HDH_STATUS[-24,-2,1] 2; HDH_STATUS[-24,-4,3] 2; HDH_STATUS[23,12,-12] 2; HDH_STATUS[23,14,-14] 2; HDH_STATUS[23,16,-16] 2; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500.; BEAM_2 2212; BEAM_ENERGY_2 6500.; }(run) (processes){ Process 93 93 -> 24 23 93{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Integration_Error 0.05 {3,4,5,6,7}; End process; Process 93 93 -> -24 23 93{NJET}; Order (*,2); CKKW sqr(QCUT/E_CMS); NLO_QCD_Mode MC@NLO {LJET}; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LOOPGEN {LJET}; Integration_Error 0.05 {3,4,5,6,7}; End process; }(processes)
Things to notice:
(run){ % general settings EVENTS 1M; % choose EW Gmu input scheme EW_SCHEME 3; % tags for process setup NJET:=1; QCUT:=30.; %scales, tags for scale variations FSF:=1.0; RSF:=1.0; QSF:=1.0; SCALES=STRICT_METS{FSF*MU_F2}{RSF*MU_R2}{QSF*MU_Q2}; CORE_SCALE=VAR{Abs2(p[2]+p[3]+p[4]+p[5])}; EXCLUSIVE_CLUSTER_MODE 1; %solves problem with dipole QED modeling ME_QED_CLUSTERING_THRESHOLD 10; % improve integration performance PSI_ITMIN 25000; INTEGRATION_ERROR 0.05; % collider setup BEAM_1 2212; BEAM_ENERGY_1 6500.; BEAM_2 2212; BEAM_ENERGY_2 6500.; }(run) (processes){ Process 93 93 -> 11 11 -12 -12 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> 13 13 -14 -14 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> 15 15 -16 -16 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> 11 13 -12 -14 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> 11 15 -12 -16 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> 13 15 -14 -16 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> -11 -11 12 12 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> -13 -13 14 14 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> -15 -15 16 16 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> -11 -13 12 14 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> -11 -15 12 16 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; Process 93 93 -> -13 -15 14 16 93 93 93{NJET}; Order (*,6); CKKW sqr(QCUT/E_CMS); End process; }(processes) (selector){ PT 90 5.0 E_CMS; NJetFinder 2 15. 0. 0.4 -1; }(selector)
Things to notice:
This is an example for event generation in the MSSM using Sherpa’s UFO
support. In the corresponding Example directory
<prefix>/share/SHERPA-MC/Examples/UFO_MSSM/
, you will find a directory
MSSM
that contains the UFO output for the MSSM
(https://feynrules.irmp.ucl.ac.be/wiki/MSSM). To run the example,
generate the model as described in UFO Model Interface by
executing
cd <prefix>/share/SHERPA-MC/Examples/UFO_MSSM/ <prefix>/bin/Sherpa-generate-model MSSM
An example run card will be written to the working directory. Use this run card as a template to generate events.
9.8.1 DIS at HERA |
This is an example of a setup for hadronic final states in deep-inelastic lepton-nucleon scattering at a centre-of-mass energy of 300 GeV. Corresponding measurements were carried out by the H1 and ZEUS collaborations at the HERA collider at DESY Hamburg.
(run){ EVENTS 1M; # technical parameters NJET:=4; QCUT:=5; SDIS:=1.0; LJET:=2,3; LGEN:=BlackHat; ME_SIGNAL_GENERATOR Comix Amegic LGEN; EVENT_GENERATION_MODE Weighted; RESPECT_MASSIVE_FLAG 1; CSS_KIN_SCHEME 1; # collider setup BEAM_1 -11 27.5; BEAM_2 2212 820; PDF_SET_1 None; # hadronization tune PARJ(21) 0.432; PARJ(41) 1.05; PARJ(42) 1.0; PARJ(47) 0.65; MSTJ(11) 5; FRAGMENTATION Lund; DECAYMODEL Lund; }(run); (processes){ Process -11 93 -> -11 93 93{NJET}; CKKW sqr(QCUT/E_CMS)/(1.0+sqr(QCUT/SDIS)/Abs2(p[2]-p[0])); NLO_QCD_Mode MC@NLO {LJET}; Order (*,2); Max_N_Quarks 6; ME_Generator Amegic {LJET}; RS_ME_Generator Comix {LJET}; Loop_Generator LGEN; PSI_ItMin 25000 {3}; Integration_Error 0.03 {3}; End process; }(processes); (selector){ Q2 -11 -11 4 1e12; }(selector)
Things to notice:
9.9.1 Production of NTuples | Production of Root NTuples with Sherpa |
Root NTuples are a convenient way to store the result of cumbersome
fixed-order calculations in order to perform multiple analyses.
This example shows how to generate such NTuples and reweighted them
in order to change factorisation and renormalisation scales.
Note that in order to use this setup, Sherpa must be configured
with option --enable-root=/path/to/root
, see Event output formats.
If Sherpa has not been configured with Rivet analysis support,
please disable the analysis using ‘-a0’ on the command line,
see Command line options.
When using NTuples, one needs to bear in mind that every calculation involving jets in the final state is exclusive in the sense that a lower cutoff on the jet transverse momenta must be imposed. It is therefore necessary to check whether the event sample stored in the NTuple is sufficiently inclusive before using it. Similar remarks apply when photons are present in the NLO calculation or when cuts on leptons have been applied at generation level to increase efficiency. Every NTuple should therefore be accompanied by an appropriate documentation.
This example will generate NTuples for the process pp->lvj, where l is an electron or positron, and v is an electron (anti-)neutrino. We identify parton-level jets using the anti-k_T algorithm with R=0.4 [Cac08]. We require the transverse momentum of these jets to be larger than 20 GeV. No other cuts are applied at generation level.
(run){ EVENTS 100k; EVENT_GENERATION_MODE Weighted; LGEN:=BlackHat; ME_SIGNAL_GENERATOR Amegic LGEN; ### Analysis (please configure with --enable-rivet & --enable-hepmc2) ANALYSIS Rivet; ANALYSIS_OUTPUT Analysis/HTp/BVI/; ### NTuple output (please configure with '--enable-root') EVENT_OUTPUT Root[NTuple_B-like]; BEAM_1 2212; BEAM_ENERGY_1 3500; BEAM_2 2212; BEAM_ENERGY_2 3500; SCF:=1; ### default scale factor SCALES VAR{SCF*sqr(sqrt(H_T2)-PPerp(p[2])-PPerp(p[3])+MPerp(p[2]+p[3]))}; EW_SCHEME 0; WIDTH_SCHEME Fixed; # sin\theta_w -> 0.23 DIPOLE_ALPHA 0.03; MASSIVE[13] 1; MASSIVE[15] 1; }(run); (processes){ ### The Born piece Process 93 93 -> 90 91 93; NLO_QCD_Mode Fixed_Order; NLO_QCD_Part B; Order (*,2); End process; ### The virtual piece Process 93 93 -> 90 91 93; NLO_QCD_Mode Fixed_Order; NLO_QCD_Part V; Loop_Generator LGEN; Order (*,2); End process; ### The integrated subtraction piece Process 93 93 -> 90 91 93; NLO_QCD_Mode Fixed_Order; NLO_QCD_Part I; Order (*,2); End process; }(processes); (selector){ FastjetFinder antikt 1 20 0 0.4; }(selector); (analysis){ BEGIN_RIVET { -a ATLAS_2012_I1083318; USE_HEPMC_SHORT 1; IGNOREBEAMS 1; } END_RIVET; }(analysis);
Things to notice:
Start Sherpa using the command line
Sherpa -f Run.B-like.dat
Sherpa will first create source code for its matrix-element calculations. This process will stop with a message instructing you to compile. Do so by running
./makelibs -j4
Launch Sherpa again, using
Sherpa -f Run.B-like.dat
Sherpa will then compute the Born, virtual and integrated subtraction contribution to the NLO cross section and generate events. These events are analyzed using the Rivet library and stored in a Root NTuple file called NTuple_B-like.root. We will use this NTuple later to compute an NLO uncertainty band.
The real-emission contribution, including subtraction terms, to the NLO cross section is computed using
Sherpa -f Run.R-like.dat
Events are generated, analyzed by Rivet and stored in the Root NTuple file NTuple_R-like.root.
The two analyses of events with Born-like and real-emission-like kinematics need to be merged, which can be achieved using scripts like aidaadd. The result can then be plotted and displayed.
Next we will compute the NLO uncertainty band using Sherpa. To this end, we make use of the Root NTuples generated in the previous steps. Note that the setup files for reweighting are almost identical to those for generating the NTuples. We have simply replaced ‘EVENT_OUTPUT’ by ‘EVENT_INPUT’.
First we re-evaluate the events with the scale increased by a factor 2:
Sherpa -f Reweight.B-like.dat Sherpa -f Reweight.R-like.dat
Then we re-evaluate the events with the scale decreased by a factor 2:
Sherpa -f Reweight.B-like.dat SCF:=0.25 -A Analysis/025HTp/BVI Sherpa -f Reweight.R-like.dat SCF:=0.25 -A Analysis/025HTp/RS
The two contributions can again be combined using aidaadd.
9.10.1 Calculation of inclusive cross sections | ||
9.10.2 Simulation of Minimum Bias events |
(run){ OUTPUT = 2 EVENT_TYPE = MinimumBias SOFT_COLLISIONS = Shrimps Shrimps_Mode = Xsecs deltaY = 1.5; Lambda2 = 1.7; beta_0^2 = 20.0; kappa = 0.6; xi = 0.2; lambda = 0.3; Delta = 0.4; }(run) (beam){ BEAM_1 = 2212; BEAM_ENERGY_1 = 450.; BEAM_2 = 2212; BEAM_ENERGY_2 = 450.; }(beam) (me){ ME_SIGNAL_GENERATOR = None }(me)
Things to notice:
(run){ EVENTS = 50k OUTPUT = 2 EVENT_TYPE = MinimumBias SOFT_COLLISIONS = Shrimps Shrimps_Mode = Inelastic ANALYSIS = Rivet ANALYSIS_OUTPUT = test6 ALPHAS(MZ) 0.118; ORDER_ALPHAS 1; CSS_FS_PT2MIN 1.00 MAX_PROPER_LIFETIME = 10. deltaY = 1.5; Lambda2 = 1.376; beta_0^2 = 18.76; kappa = 0.6; xi = 0.2; lambda = 0.2151; Delta = 0.3052; Q_0^2 = 2.25; Chi_S = 1.0; Shower_Min_KT2 = 4.0; Diff_Factor = 4.0; KT2_Factor = 4.0; RescProb = 2.0; RescProb1 = 0.5; Q_RC^2 = 0.9; ReconnProb = -25.; Resc_KTMin = off; Misha = 0 }(run) (beam){ BEAM_1 = 2212; BEAM_ENERGY_1 = 3500.; BEAM_2 = 2212; BEAM_ENERGY_2 = 3500.; }(beam) (analysis){ BEGIN_RIVET { -a ATLAS_2010_S8918562 ATLAS_2010_S8894728 ATLAS_2011_S8994773 ATLAS_2012_I1084540 TOTEM_2012_DNDETA ATLAS_2011_I919017 CMS_2011_S8978280 CMS_2011_S9120041 CMS_2011_S9215166 CMS_2010_S8656010 CMS_2011_S8884919 CMS_QCD_10_024 } END_RIVET }(analysis) (me){ ME_SIGNAL_GENERATOR = None }(me)
Things to notice:
9.11.1 QCD continuum | ||
9.11.2 Signal process | ||
9.11.3 Single hadron decay chains |
Example setup for QCD continuum production at the Belle/KEK collider. Please note, it does not include any hadronic resonance.
(run){ % general settings EVENTS 5M; % model parameters ALPHAS(MZ) 0.1188; ORDER_ALPHAS 1; MASSIVE[4] 1; MASSIVE[5] 1; MASSIVE_PS 3; % collider setup BEAM_1 11; BEAM_ENERGY_1 7.; BEAM_2 -11; BEAM_ENERGY_2 4.; }(run) (processes){ Process 11 -11 -> 93 93; Order (*,2); End process; Process 11 -11 -> 4 -4; Order (*,2); End process; Process 11 -11 -> 5 -5; Order (*,2); End process; }(processes)
Things to notice:
Example setup for B-hadron pair production on the Y(4S) pole.
(run){ % general settings EVENTS 5M; % model parameters ALPHAS(MZ) 0.1188; ORDER_ALPHAS 1; MASSIVE[4] 1; MASSIVE[5] 1; MASSIVE_PS 3; ME_SIGNAL_GENERATORS Internal; SCALES VAR{sqr(91.2)}; % collider setup BEAM_1 11; BEAM_ENERGY_1 7.; BEAM_2 -11; BEAM_ENERGY_2 4.; }(run) (processes){ # # electron positron -> Y(4S) -> B+ B- # Process 11 -11 -> 300553[a]; Decay 300553[a] -> 521 -521; End process; # # electron positron -> Y(4S) -> B0 B0bar # Process 11 -11 -> 300553[a]; Decay 300553[a] -> 511 -511; End process; }(processes)
Things to notice:
This setup is not a collider setup, but a simulation of a hadronic decay chain.
(run){ % general settings EVENTS 5M; EVENT_TYPE HadronDecay; % specify hadron to be decayed DECAYER 511; % initialise rest for Sherpa not to complain % model parameters ME_SIGNAL_GENERATORS Internal; SCALES VAR{sqr(91.2)}; % collider setup BEAM_1 11; BEAM_ENERGY_1 7.; BEAM_2 -11; BEAM_ENERGY_2 4.; # ANALYSIS=Rivet }(run) (processes){ Process 11 -11 -> 13 -13; End process; }(processes) #(analysis){ # BEGIN_RIVET { # -a BELLE_2015_I1397632 # } END_RIVET #}(analysis)
Things to notice:
EVENT_TYPE
is set to HadronDecay
.
DECAYER
specifies the hadron flavour initialising the decay
chain.
9.12.1 Computing matrix elements for idividual phase space points using the Python Interface | ||
9.12.2 Computing matrix elements for idividual phase space points using the C++ Interface |
Sherpa’s Python interface (see Python Interface) can be used to compute matrix elemtents for individual phase space points. Access to a designated class “MEProcess” is provided by interface to compute matrix elements as illustrated in the example script.
Please note that the process in the script must be compatible with the one specified in the run card in the working directory. A random phase space point for the process of interes can be generated as shown in the example.
If AMEGIC++ is used as the matrix element generator, executing the
script will result in AMEGIC++ writing out libraries and exiting.
After compiling the libraries using ./makelibs
, the script must
be executed again in order to obtain the matrix element.
#!/usr/bin/env python2 @LOADMPIFORPY@ import sys sys.path.append('@PYLIBDIR@') import Sherpa # Add this to the execution arguments to prevent Sherpa from starting the cross section integration sys.argv.append('INIT_ONLY=2') Generator=Sherpa.Sherpa() try: Generator.InitializeTheRun(len(sys.argv),sys.argv) Process=Sherpa.MEProcess(Generator) # Incoming flavors must be added first! Process.AddInFlav(11); Process.AddInFlav(-11); Process.AddOutFlav(1); Process.AddOutFlav(-1); Process.Initialize(); # First argument corresponds to particle index: # index 0 correspons to particle added first, index 1 is the particle added second, and so on... Process.SetMomentum(0, 45.6,0.,0.,45.6) Process.SetMomentum(1, 45.6,0.,0.,-45.6) Process.SetMomentum(2, 45.6,0.,45.6,0.) Process.SetMomentum(3, 45.6,0.,-45.6,0.) print '\nSquared ME: ', Process.CSMatrixElement() # Momentum setting via list of floats Process.SetMomenta([[45.6,0.,0.,45.6], [45.6,0.,0.,-45.6], [45.6,0.,45.6,0.], [45.6,0.,-45.6,0.]]) print '\nSquared ME: ', Process.CSMatrixElement() # Random momenta E_cms = 500.0 tp = Process.TestPoint(E_cms) print '\nRandom test point: ', tp[0], tp[1], tp[2], tp[3] print 'Squared ME: ', Process.CSMatrixElement(), '\n' except Sherpa.Exception as exc: print exc exit(1)
Matrix elements values for user defined phase space points can also be
quarried using a small C++ executable provided in Examples/API/ME2
.
It can be compiled using the provided Makefile
. The test program is
then run typing (note: the LD_LIBRARY_PATH
must be set to include
<Sherpa-installation>/lib/SHERPA-MC
)
./test <options>
where the usual options for Sherpa are passed. An example run card, giving both the process and the requested phase space points looks like
(run){ EVENTS 0; INIT_ONLY 2; }(run) (beam){ BEAM_1 11; BEAM_ENERGY_1 45.6; BEAM_2 -11; BEAM_ENERGY_2 45.6; }(beam) (isr){ PDF_LIBRARY None; }(isr) (processes){ Process 11 -11 -> 2 -2 21 21 21 21 End process; }(processes) (momenta){ NUMBER_OF_POINTS 4 Point 1 11 45.6 0.0 0.0 45.6 -11 45.6 0.0 0.0 -45.6 21 10.0 0.0 0.0 -10.0 1 2 21 10.0 0.0 0.0 10.0 2 3 21 10.0 10.0 0.0 0.0 3 1 21 10.0 -10.0 0.0 0.0 1 3 2 25.6 0.0 25.6 0.0 3 0 -2 25.6 0.0 -25.6 0.0 0 1 End point Point 2 11 45.6 0.0 0.0 45.6 -11 45.6 0.0 0.0 -45.6 21 12.0 0.0 0.0 -12.0 1 2 21 12.0 0.0 0.0 12.0 2 3 21 12.0 12.0 0.0 0.0 3 1 21 12.0 -12.0 0.0 0.0 1 3 2 21.6 0.0 21.6 0.0 3 0 -2 21.6 0.0 -21.6 0.0 0 1 End point Point 3 11 45.6 0.0 0.0 45.6 -11 45.6 0.0 0.0 -45.6 21 14.0 0.0 0.0 -14.0 1 2 21 14.0 0.0 0.0 14.0 2 3 21 14.0 14.0 0.0 0.0 3 1 21 14.0 -14.0 0.0 0.0 1 3 2 17.6 0.0 17.6 0.0 3 0 -2 17.6 0.0 -17.6 0.0 0 1 End point Point 4 11 45.6 0.0 0.0 45.6 -11 45.6 0.0 0.0 -45.6 21 16.0 0.0 0.0 -16.0 1 2 21 16.0 0.0 0.0 16.0 2 3 21 16.0 16.0 0.0 0.0 3 1 21 16.0 -16.0 0.0 0.0 1 3 2 13.6 0.0 13.6 0.0 3 0 -2 13.6 0.0 -13.6 0.0 0 1 End point }(momenta)
Please note that both the process and the beam specifications need to be present in order for Sherpa to initialise properly. The momenta need to be given in the proper ordering employed in Sherpa, which can be read from the process name printed on screen. For each entry the sequence is the following
<pdg-id> <E> <px> <py> <pz> [triplet-index antitriplet-index]
with the colour indices ranging from 1..3 for both the triplet and the antitriplet index in the colour-flow basis. The colour information is only needed if Comix is used for the calculation as Comix then also gives the squared matrix element value for this colour cinfiguration. In any case, the colour-summed value is printed to screen.
Alternatively, the momenta can be given in a separate file specified through
MOMENTA_DATA_FILE=<file>
.
9.13.1 Generate events using scripts | Generating events | |
9.13.2 Generate events with MPI using scripts | Generating events with MPI |
This example shows how to generate events with Sherpa using a Python wrapper script. For each event the weight, the number of trials and the particle information is printed to stdout. This script can be used as a basis for constructing interfaces to own analysis routines.
#!/usr/bin/python2 @LOADMPIFORPY@ import sys sys.path.append('@PYLIBDIR@') import Sherpa Generator=Sherpa.Sherpa() try: Generator.InitializeTheRun(len(sys.argv),sys.argv) Generator.InitializeTheEventHandler() for n in range(1,1+Generator.NumberOfEvents()): Generator.GenerateOneEvent() blobs=Generator.GetBlobList(); print "Event",n,"{" ## print blobs print " Weight ",blobs.GetFirst(1)["Weight"]; print " Trials ",blobs.GetFirst(1)["Trials"]; for i in range(0,blobs.size()): print " Blob",i,"{" ## print blobs[i]; print " Incoming particles" for j in range(0,blobs[i].NInP()): part=blobs[i].InPart(j) ## print part s=part.Stat() f=part.Flav() p=part.Momentum() print " ",j,": ",s,f,p print " Outgoing particles" for j in range(0,blobs[i].NOutP()): part=blobs[i].OutPart(j) ## print part s=part.Stat() f=part.Flav() p=part.Momentum() print " ",j,": ",s,f,p print " } Blob",i print "} Event",n if ((n%100)==0): print " Event ",n Generator.SummarizeRun() except Sherpa.Exception as exc: exit(1)
This example shows how to generate events with Sherpa using a Python wrapper script and MPI. For each event the weight, the number of trials and the particle information is send to the MPI master node and written into a single gzip’ed output file. Note that you need the mpi4py module to run this Example. Sherpa must be configured and installed using ‘--enable-mpi’, see MPI parallelization.
#!/usr/bin/python2 @LOADMPIFORPY@ import sys sys.path.append('@PYLIBDIR@') import Sherpa import gzip class MyParticle: def __init__(self,p): self.kfc=p.Flav().Kfcode() if p.Flav().IsAnti(): self.kfc=-self.kfc self.E=p.Momentum()[0] self.px=p.Momentum()[1] self.py=p.Momentum()[2] self.pz=p.Momentum()[3] def __str__(self): return (str(self.kfc)+" "+str(self.E)+" " +str(self.px)+" "+str(self.py)+" "+str(self.pz)) Generator=Sherpa.Sherpa() try: Generator.InitializeTheRun(len(sys.argv),sys.argv) Generator.InitializeTheEventHandler() comm=MPI.COMM_WORLD rank=comm.Get_rank() size=comm.Get_size() if rank==0: outfile=gzip.GzipFile("events.gz",'w') for n in range(1,1+Generator.NumberOfEvents()): for t in range(1,size): weight=comm.recv(source=t,tag=t) trials=comm.recv(source=t,tag=2*t) parts=comm.recv(source=t,tag=3*t) outfile.write("E "+str(weight)+" "+str(trials)+"\n") for p in parts: outfile.write(str(p)+"\n") if (n%100)==0: print " Event",n outfile.close() else: for n in range(1,1+Generator.NumberOfEvents()): Generator.GenerateOneEvent() blobs=Generator.GetBlobList(); weight=blobs.GetFirst(1)["Weight"] trials=blobs.GetFirst(1)["Trials"] parts=[] for i in range(0,blobs.size()): for j in range(0,blobs[i].NOutP()): part=blobs[i].OutPart(j) if part.Stat()==1 and part.HasDecBlob()==0: parts.append(MyParticle(part)) comm.send(weight,dest=0,tag=rank) comm.send(trials,dest=0,tag=2*rank) comm.send(parts,dest=0,tag=3*rank) Generator.SummarizeRun() except Sherpa.Exception as exc: exit(1)
If Sherpa exits abnormally, first check the Sherpa output for hints on the reason of program abort, and try to figure out what has gone wrong with the help of the Manual. Note that Sherpa throwing a ‘normal_exit’ exception does not imply any abnormal program termination! When using AMEGIC++ Sherpa will exit with the message:
New libraries created. Please compile.
In this case, follow the instructions given in Running Sherpa with AMEGIC++.
If this does not help, contact the Sherpa team (see the Sherpa Team section of the website sherpa.hepforge.org), providing all information on your setup. Please include
Status__<date of crash>
produced before the program abort.
Sherpa was written by the Sherpa Team, see sherpa.hepforge.org.
Sherpa is free software. You can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation. You should have received a copy of the GNU General Public License along with the source for Sherpa; see the file COPYING. If not, write to the Free Software Foundation, 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
Sherpa is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Sherpa was created during the Marie Curie RTN’s HEPTOOLS, MCnet and LHCphenonet. The MCnet Guidelines apply, see the file GUIDELINES and http://www.montecarlonet.org/index.php?p=Publications/Guidelines.
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