Skip to main content

Generation, simulation, analysis, and statistical inference in one go.

Project description

mario-mapyde v0.4.0

MaPyDe stands for MadGraph-Pythia-Delphes which is a utility that allows one to run all of the various HEP toolings or chain them together and perform a quick analysis with the results, such as running CERN ATLAS SimpleAnalysis or pyhf.


Actions Status Documentation Status

PyPI version Conda-Forge PyPI platforms

GitHub Discussion ReadTheDocs

Docker Images

Docker images are made available in our container registry.

docker pull ghcr.io/scipp-atlas/mario-mapyde/madgraph
docker pull ghcr.io/scipp-atlas/mario-mapyde/delphes
docker pull ghcr.io/scipp-atlas/mario-mapyde/pyplotting

If you want to run on a machine with an NVidia GPU and use it for limit setting with pyhf, then there's a container for that too:

docker pull ghcr.io/scipp-atlas/mario-mapyde/pyplotting-cuda

Running

Everyone is centralized around the concept of providing a user configuration file that references a template. By default, defaults.toml is used (if not specified). These configuration files significantly control how to run or execute the various steps in the chain of mapyde. Use the command line interface to get started:

# display the help
mapyde --help

# display the prefix path for data cards shipped with mapyde
mapyde --prefix cards

# parse and display the config
mapyde config parse user.toml

# run all steps
maypde run all user.toml

# run only madgraph
mapyde run madgraph user.toml

# display the help for running
mapyde run --help

Configuration Details

There are a lot of different configuration options one can specify. For right now, the user is asked to look at defaults.toml, run mapyde config parse user.toml, open a discussion, or look at the source code.

MadGraph

Produces a hepmc file. You can:

  • specify process, param, and run cards
    • define particle masses in config file
    • define additional kinematic cuts to apply at parton level
  • specify pythia card
  • define center of mass energy

Delphes

Run a parameterized detector simulation, outputting a ROOT file. You can:

  • specify Delphes card

Analysis

Analyze the Delphes output, which could be user-provided analysis code. There are some scripts already provided for you:

  • scripts/Delphes2SA.py will make an ntuple that can be parsed by SimpleAnalysis for limit setting.
  • scripts/SimpleAna.py will make a generic "flat" ntuple in a ROOT file.
  • scripts/muscan.py will use pyhf to perform a mu-scan and compute upper-limits for a public likelihood injected with results from SimpleAnalysis.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mapyde-0.4.1.tar.gz (275.2 kB view details)

Uploaded Source

Built Distribution

mapyde-0.4.1-py3-none-any.whl (389.9 kB view details)

Uploaded Python 3

File details

Details for the file mapyde-0.4.1.tar.gz.

File metadata

  • Download URL: mapyde-0.4.1.tar.gz
  • Upload date:
  • Size: 275.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for mapyde-0.4.1.tar.gz
Algorithm Hash digest
SHA256 c1173df60ba86ffaf8bbd182d8f8c065c3483804c178b26b8b7420a0a55c835a
MD5 7e5696fc0d40c93ccc49648486082c2d
BLAKE2b-256 fbe1be15a7048554a0c4eea8b4737dcef3301090af4a0a1845f4d6923b367573

See more details on using hashes here.

File details

Details for the file mapyde-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: mapyde-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 389.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for mapyde-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e30ac82f62e017c04822ca1ceaf67925837131508a2f24d632479af3c82be429
MD5 6089b66ec6a54ec3851c4725f8686d33
BLAKE2b-256 8e7af42265a712996bc9f6994041a414f21779e6ce6603d9dd0ec9200c21c689

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page