Madflow
If you use this software please cite this paper
@article{madflow,
author = "Carrazza, Stefano and Cruz-Martinez, Juan and Rossi, Marco and Zaro, Marco",
title = "{MadFlow: automating Monte Carlo simulation on GPU for particle physics processes}",
eprint = "2106.10279",
archivePrefix = "arXiv",
primaryClass = "physics.comp-ph",
reportNumber = "TIF-UNIMI-2021-9",
doi = "10.1140/epjc/s10052-021-09443-8",
journal = "Eur. Phys. J. C",
volume = "81",
number = "7",
pages = "656",
year = "2021"
}
madflow
Install From PyPI
pip install madflow
From the repository
git clone https://github.com/N3PDF/madflow.git
cd madflow
pip install .
External tools
madflow
relies in a number of external tools.
Some of them are just used for convenience and are optional, some are necessary for the proper functioning of the program.
MG5_aMC
A valid installation of MG5_aMC (2.8+) is necessary in order to generate matrix elements.
If you already have a valid installation, please add the following environment variable pointing to the right directory: MADGRAPH_PATH
.
Below are the instructions for MG5_aMC 3.1.0, for a more recent release please visit the MG5_aMC@NLO site.
wget https://launchpad.net/mg5amcnlo/3.0/3.1.x/+download/MG5_aMC_v3.1.0.tar.gz
tar xfz MG5_aMC_v3.1.0.tar.gz
export MADGRAPH_PATH=${PWD}/MG5_aMC_v3_1_0
LHAPDF
While LHAPDF
is not strictly necessary to use the madflow
library or run any of the scripts,
having access to the lhapdf
python wrapper can be convenient in order to manage the different PDFsets.
Please install the latest version from the LHAPDF site.
Otherwise, if your installed version of pdfflow
is equal or greater than 1.2.1
,
you can manually install the PDF sets in a suitable directory
and ensure that either the PDFFLOW_DATA_PATH
or LHAPDF_DATA_PATH
environment variables are pointing to it.
You can check your installed version of pdfflow
with: python -c 'import pdfflow ; print(pdfflow.__version__);'
Install plugin in MG5_aMC
In order to install the madflow
plugin in MG5_aMC@NLO, it is necessary to link the madgraph_plugin
folder inside the PLUGIN
directory of MG5_aMC@NLO.
For instance, if the environment variable $MADGRAPH_PATH
is pointing to the MG5_aMC root and you are currently in the repository root.
ln -s ${PWD}/madgraph_plugin ${MADGRAPH_PATH}/PLUGIN/pyout
The link can be performed automagically with the madflow --autolink
option.
madflow
Use For a more precise description of what madflow
can do please visit the online documentation.
For convenience a script is provided which should have been installed alongside the library.
Using this script is possible to run any process at Leading Order, integrated with a RAMBO
-like phasespace.
madflow --help
[-h] [-v] [-p PDF] [--no_pdf] [-c] [--madgraph_process MADGRAPH_PROCESS] [-m MASSIVE_PARTICLES] [-g] [--pt_cut PT_CUT] [--histograms]
optional arguments:
-h, --help show this help message and exit
-v, --verbose Print extra info
-p PDF, --pdf PDF PDF set
--no_pdf Don't use a PDF for the initial state
-c, --enable_cuts Enable the cuts
--madgraph_process MADGRAPH_PROCESS
Set the madgraph process to be run
-m MASSIVE_PARTICLES, --massive_particles MASSIVE_PARTICLES
Number of massive particles
-g, --variable_g Use variable g_s
--pt_cut PT_CUT Minimum pt for the outgoint particles
--histograms Generate LHE files/histograms