antares-hep

Automated Numerical To Analytical REconstruction Software

https://github.com/gdelaurentis/antares

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Automated Numerical To Analytical REconstruction Software

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 4
Created over 1 year ago · Last pushed 11 months ago
Metadata Files
Readme Changelog License Citation

README.md

Antares

Automated Numerical To Analytical REconstruction Software

[![CI Lint](https://github.com/GDeLaurentis/antares/actions/workflows/ci_lint.yml/badge.svg)](https://github.com/GDeLaurentis/antares/actions/workflows/ci_lint.yml) [![CI Test](https://github.com/GDeLaurentis/antares/actions/workflows/ci_test.yml/badge.svg)](https://github.com/GDeLaurentis/antares/actions/workflows/ci_test.yml) [![Coverage](https://img.shields.io/badge/Coverage-36%25-red?labelColor=2a2f35)](https://github.com/GDeLaurentis/antares/actions) [![Docs](https://github.com/GDeLaurentis/antares/actions/workflows/cd_docs.yml/badge.svg?label=Docs)](https://gdelaurentis.github.io/antares/) [![PyPI](https://img.shields.io/pypi/v/antares-hep?label=PyPI)](https://pypi.org/project/antares-hep/) [![PyPI Downloads](https://img.shields.io/pypi/dm/antares-hep.svg?label=PyPI%20downloads)](https://pypistats.org/packages/antares-hep) [![DOI](https://zenodo.org/badge/902351393.svg)](https://doi.org/10.5281/zenodo.14501989) [![Python](https://img.shields.io/pypi/pyversions/antares-hep?label=Python)](https://pypi.org/project/antares-hep/)
The current version is meant to load and evaluate results only.
Reconstruction routines coming soon!


Antares will provide tools to reconstruct (or simplify) analytical expressions for functions in the field of fractions over polynomial quotient rings, such as loop integral coefficients, from numerical evaluations. It is based on the study and fitting of pole residues in complexified momentum space. The divergence of expressions near the poles is handled via arbitrary-precision floating-point arithmetics or $p$-adic numbers. Alternatively finite fields can also be used (may involve semi-numerical slices).

Installation

The package is available on the Python Package Index console pip install antares-hep Alternativelty, it can be installed by cloning the repository console git clone https://github.com/GDeLaurentis/antares.git path/to/antares-repo pip install -e path/to/antares-repo/ It is recommended to have distinct names for the repository folder and the package folder within it (especially in case of import errors).

Owner

  • Name: Giuseppe DeLaurentis
  • Login: GDeLaurentis
  • Kind: user
  • Location: Villigen, CH
  • Company: Paul Scherrer Institut (PSI)

Citation (CITATION.bib)

@phdthesis{DeLaurentis:2020xar,
    author = "De Laurentis, Giuseppe",
    title = "{Numerical techniques for analytical high-multiplicity scattering amplitudes}",
    school = "Durham U.",
    year = "2020"
}

GitHub Events

Total
  • Release event: 4
  • Watch event: 1
  • Push event: 34
  • Create event: 9
Last Year
  • Release event: 4
  • Watch event: 1
  • Push event: 34
  • Create event: 9

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 50 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
pypi.org: antares-hep

Automated Numerical To Analytical REconstruction Software

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 50 Last month
Rankings
Dependent packages count: 9.9%
Average: 32.7%
Dependent repos count: 55.6%
Maintainers (1)
Last synced: 10 months ago