Metadata-Version: 2.1
Name: amstrax
Version: 0.1.0
Summary: strax for XAMS data
Home-page: https://github.com/XAMS-nikhef/amstrax
Author: Nikhef
License: UNKNOWN
Description: # 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
        
        
        0.1.0 / 2021-12-02
        --------------------
         -  Add testing and restructure amstrax (#13)
        
        0.0.1 / <2021-12-01
        --------------------
        
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
