Metadata-Version: 2.1
Name: axidence
Version: 0.3.3
Summary: strax-based data-driven accidental coincidence background simulation and peak-level salting
Home-page: https://github.com/XENONnT/axidence
License: BSD-3-Clause
Author: Dacheng Xu,
Author-email: dx2227@columbia.edu
Requires-Python: >=3.9,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Dist: GOFevaluation (>=0.1.5)
Requires-Dist: strax (>=1.6.3,<=1.6.5)
Requires-Dist: straxen (>=2.2.6,<=2.2.7)
Project-URL: Documentation, https://readthedocs.org/projects/axidence/
Project-URL: Repository, https://github.com/XENONnT/axidence
Description-Content-Type: text/markdown

# Axidence

[![DOI](https://zenodo.org/badge/786146724.svg)](https://zenodo.org/badge/latestdoi/786146724)
[![Test package](https://github.com/XENONnT/axidence/actions/workflows/pytest.yml/badge.svg?branch=main)](https://github.com/XENONnT/axidence/actions/workflows/pytest.yml)
[![Coverage Status](https://coveralls.io/repos/github/XENONnT/axidence/badge.svg?branch=main&kill_cache=1)](https://coveralls.io/github/XENONnT/axidence?branch=main&kill_cache=1)
[![PyPI version shields.io](https://img.shields.io/pypi/v/axidence.svg)](https://pypi.python.org/pypi/axidence/)
[![Documentation Status](https://readthedocs.org/projects/axidence/badge/?version=latest)](https://axidence.readthedocs.io/en/latest/?badge=latest)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/XENONnT/axidence/main.svg)](https://results.pre-commit.ci/latest/github/XENONnT/axidence/main)

Axidence is a stax-based data-driven accidental coincidence background simulation framework. It can also perform the peak-level salting to calculate the features related to ambient environment.

# Installation
```
cd axidence
pip install ./ --user
```

