Source code: https://github.com/XENON1T/hax
Documentation: http://hax.readthedocs.org/en/latest/
Authors: Jelle Aalbers and Chris Tunnell
Tools for common analysis tasks on pax processed data, such as:
- Finding datasets of a particular source / type in the XENON1T runs database [PLANNED]
- Looping over every event in one or more root files
- Make and load 'mini-trees' containing reduced data (e.g. cut booleans, or basic extracted data)
- Load a big TChain containing the main trees and mini-trees for several datasets [Experimental]
Please see the notebook https://github.com/XENON1T/hax/blob/master/examples/01_hax_tutorial.ipynb for a tutorial on how to use this.
You probably want to run this library in an analysis facility (Xecluster/Stockholm/Chicago).
Setup as usual by running 'python setup.py develop' or, if you want to hide the code, 'python setup.py install'.
Pax, pyROOT and root_numpy are prerequisites: follow the usual pax installation procedure, then do conda install root_numpy.