Metadata-Version: 2.1
Name: amstrax
Version: 0.0.1
Summary: strax for XAMS data
Home-page: https://github.com/XAMS-nikhef/amstrax
Author: Nikhef
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: 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: multihist (>=0.6.3)
Requires-Dist: matplotlib
Requires-Dist: packaging
Requires-Dist: immutabledict
Requires-Dist: numpy (~=1.19.5)
Requires-Dist: numba (>=0.50.0)
Requires-Dist: strax (>=0.12.0)
Requires-Dist: requests
Requires-Dist: iminuit
Requires-Dist: pymongo (<4.0)
Requires-Dist: IPython

# Amstrax
[![Coverage Status](https://coveralls.io/repos/github/XAMS-nikhef/amstrax/badge.svg?branch=master)](https://coveralls.io/github/XAMS-nikhef/amstrax?branch=master)
[![CodeFactor](https://www.codefactor.io/repository/github/xams-nikhef/amstrax/badge)](https://www.codefactor.io/repository/github/xams-nikhef/amstrax)

Amsterdam Strax

Amstrax is the analysis framework for XAMS, built on top of the generic [strax framework](https://github.com/AxFoundation/strax). 

# Installation
For installing the package do the regular instal-packages-from-github tricks:
```
git clone https://github.com/XAMS-nikhef/amstrax
python ./amstrax/setup.py develop
```
All required dependancies will be installed for you.

# Usage
First you'll need to get some data. For this you'll need to either run somewhere where nikhef's /data/xenon/xams is available or have data downloaded.
Either strax processed data or pax raw data is fine.
Once you have data you can try running the Tutorial notebook (although it's in Dutch), just make sure to change the output_folder to where you have data


0.0.1 / <2021-12-01
--------------------


