Metadata-Version: 2.1
Name: pema
Version: 0.3.6
Summary: Peak matching for XENON simulations
Home-page: https://github.com/XENONnT/peakmatching
Author: Joran Angevaare
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: strax
Requires-Dist: utilix (>=0.4.1)
Requires-Dist: straxen (>=1.1.0)
Requires-Dist: wfsim (>=0.5.6)
Requires-Dist: multihist
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: nestpy
Provides-Extra: docs
Requires-Dist: numpy (==1.19.5) ; extra == 'docs'
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# PEMA: Peak matching for clustering and classification
[![Test package](https://github.com/XENONnT/pema/actions/workflows/pytest.yml/badge.svg?branch=master)](https://github.com/XENONnT/pema/actions/workflows/pytest.yml)
[![CodeFactor](https://www.codefactor.io/repository/github/xenonnt/pema/badge)](https://www.codefactor.io/repository/github/xenonnt/pema)
[![Coverage Status](https://coveralls.io/repos/github/XENONnT/pema/badge.svg?branch=master)](https://coveralls.io/github/XENONnT/pema?branch=master)
[![Documentation Status](https://readthedocs.org/projects/pema/badge/?version=latest)](https://pema.readthedocs.io/en/latest/?badge=latest)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5594916.svg)](https://doi.org/10.5281/zenodo.5594916)
[![PyPI version shields.io](https://img.shields.io/pypi/v/pema.svg)](https://pypi.python.org/pypi/pema/)
[![Python Versions](https://img.shields.io/pypi/pyversions/pema.svg)](https://pypi.python.org/pypi/pema)
[![PyPI downloads](https://img.shields.io/pypi/dm/pema.svg)](https://pypistats.org/packages/pema)

## PeakMatching
Peak clustering and classification validation using the WFsim


# Installation
To install `pema`, one can easily get the latest version via Pipy. For increased usability one needs some XENONnT credentials, see [this page](https://straxen.readthedocs.io/en/latest/setup.html).
```bash
pip install pema
```


## Test installation
```bash
python -c "import pema ; print(pema.__version__) ; print('great succes')
```


0.3.6 / 2021-12-10
------------------
- Use raw_area_trigger for reconstruction bias (#123)
- add gitattributes, fix #132 (#133)
- test making docs (#137)
- Requirements (many)


0.3.5 / 2021-12-10
------------------
- Fix bias to #112 (#122)


0.3.4 / 2021-12-10
------------------
- Fix bias plots (#112)
- Bump WFSim (#121)
- Pin pymongo (#116)


0.3.3 / 2021-11-08
------------------
 - Add rr matrix (#96, #101)


0.3.2 / 2021-11-08
------------------
- Several tweaks to v0.3.1 (ec3f2821eab059c812db9fec2e723da6c5cbfc8e, 9d5bae41b91855041dc61717594da70cae5e8292, 437677c301003f4e9812420603390b8b3b93f27b, 437677c301003f4e9812420603390b8b3b93f27b)


0.3.1 / 2021-11-03
------------------
 - use overlap window for matching, include events (#86)


0.3.0 / 2021-10-24
------------------
 - New wfsim inst (#67)
 - Increase the coverage (#65, #66)
 - Make compatible with strax(en) -1.0.0rc (#44)


0.2.2 / 2021-08-10
------------------
 - Fix master for strax, straxen, wfsim == 0.16.1, 0.19.3, 0.5.6 (#23)
 - Fix docs requirements (#34, #32)
 - Create codeql-analysis.yml (#35)
 - Fix saving as SVG (#21)
 - Register from module (#22)
 - Less pinned requirements (#32)


0.2.1 / 2021-60-17
------------------
- Allow plot dump to pickle (#20)
- minor commits


0.2.0 / 2021-05-21
------------------
- Increased testing, faster matching (#17)
- Update notebooks to be more plug and play (#13)
- Use actions for testing (#15)


0.1.0 / 2021-04-10
--------------------
- Restructured code into plugins
- Arbitrary acceptance to allow for penalty factors
- Install CI:
  - CodeFactor
  - Coveralls
  - Automated documentation
  - Testing


0.0.1 / 2020-11-25
--------------------
- Further prepare the package and prepare for deployment

0.0.0 / 2020-11-23
--------------------
- Initial commits


