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nplm

package for the New Physics Learning Machine (NPLM) algorithm

https://github.com/gaiagrosso/nplm_package

Science Score: 57.0%

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    Found .zenodo.json file
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    DOI references
    Found 6 DOI reference(s) in README
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    Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

package for the New Physics Learning Machine (NPLM) algorithm

Basic Info
  • Host: GitHub
  • Owner: GaiaGrosso
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: v0.1.0
  • Size: 8.2 MB
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 3
  • Open Issues: 0
  • Releases: 1
Created over 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

NPLM_package

a package to implement the New Physics Learning Machine (NPLM) algorithm

Short description:

NPLM is a strategy to detect data departures from a given reference model, with no prior bias on the nature of the new physics model responsible for the discrepancy. The method employs neural networks, leveraging their virtues as flexible function approximants, but builds its foundations directly on the canonical likelihood-ratio approach to hypothesis testing. The algorithm compares observations with an auxiliary set of reference-distributed events, possibly obtained with a Monte Carlo event generator. It returns a p-value, which measures the compatibility of the reference model with the data. It also identifies the most discrepant phase-space region of the dataset, to be selected for further investigation. Imperfections due to mis-modelling in the reference dataset can be taken into account straightforwardly as nuisance parameters.

Related works:

Envirnoment set up:

Create a virtual environment with the packages specified in requirements.txt python3 -m venv env source env/bin/activate to be sure that pip is up to date pip install --upgrade pip install the packaes listed in requirements.txt pip install -r requirements.txt to see what you installed (check if successful) pip freeze Now you are ready to download the NPLM package: pip install NPLM

Envirnoment set up on lxplus at Cern

Just source the virtual environment: source /cvmfs/sft.cern.ch/lcg/views/LCG_99/x86_64-centos7-gcc10-opt/setup.sh Download the NPLM package: pip install NPLM

Main features in the package:

  • imperfect_model alt text ## Example: 1D toy model To understand how NPLM works see the 1D example in example_1D

Owner

  • Login: GaiaGrosso
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Grosso
    given-names: Gaia
    orcid: https://orcid.org/0000-0002-8303-3291
title: "New Physics Learning Machine (NPLM): package"
version: 0.0.6
date-released: 2021-11-17
url: "https://github.com/GaiaGrosso/NPLM_package"

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 49
  • Total Committers: 3
  • Avg Commits per committer: 16.333
  • Development Distribution Score (DDS): 0.102
Top Committers
Name Email Commits
GaiaGrosso 3****o@u****m 44
Gaia g****a@G****l 4
Gaia g****a@g****e 1
Committer Domains (Top 20 + Academic)
gaias-macbook-pro.home: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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  • dependabot[bot] (1)
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dependencies (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 12 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 1
  • Total maintainers: 1
pypi.org: nplm

package to run the New Physics Learning Machine (NPLM) algorithm.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 12 Last month
Rankings
Dependent packages count: 9.7%
Forks count: 19.2%
Dependent repos count: 21.9%
Stargazers count: 23.1%
Average: 26.4%
Downloads: 58.1%
Maintainers (1)
grossog
Last synced: 7 months ago

Dependencies

requirements.txt pypi
  • h5py *
  • matplotlib ==3.3.3
  • numpy >=1.18
  • scipy ==1.4.1
  • tensorflow ==2.3
pyproject.toml pypi