Skip to main content

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

Project description

mapyde v0.4.6

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.


Mapyde logo
CI/CD CI - Test CI - Docker
Docs Docs Zenodo
Package PyPI - Downloads PyPI - Version PyPI platforms Conda-Forge
Meta GitHub - Discussion GitHub - Issue License - Apache 2.0

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-0.4.6.tar.gz (289.1 kB view details)

Uploaded Source

Built Distribution

mapyde-0.4.6-py3-none-any.whl (390.2 kB view details)

Uploaded Python 3

File details

Details for the file mapyde-0.4.6.tar.gz.

File metadata

  • Download URL: mapyde-0.4.6.tar.gz
  • Upload date:
  • Size: 289.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for mapyde-0.4.6.tar.gz
Algorithm Hash digest
SHA256 035c7381fd1aaa565c3e90cfb52adffee39edb13e7960bcd36e2571b0a8d4be0
MD5 1c67b66930280d51da77696d762fc873
BLAKE2b-256 b5434da16471c89d198d58569e2a1f09aa0d5664e23944f40eed0a16c33f26f0

See more details on using hashes here.

File details

Details for the file mapyde-0.4.6-py3-none-any.whl.

File metadata

  • Download URL: mapyde-0.4.6-py3-none-any.whl
  • Upload date:
  • Size: 390.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for mapyde-0.4.6-py3-none-any.whl
Algorithm Hash digest
SHA256 ff10dcf94ca13b4811aeedf46c557fc44f8c6ae7ce631e933182755430009fbc
MD5 c4d4f2ab1156e5c2e120a0167bc3a92c
BLAKE2b-256 acdff62079b3aa1af21fb75d5b551ebcb803b71a05e53956d060e1c1c7a6ae2b

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