https://github.com/cbourjau/tpyselector_example

Example of running a local analysis within the pyroot framework using the TPyselector class
https://github.com/cbourjau/tpyselector_example

Last synced: about 1 month ago
JSON representation

Example of running a local analysis within the pyroot framework using the TPyselector class

• Host: GitHub
• URL: https://github.com/cbourjau/tpyselector_example
• Owner: cbourjau
• License: gpl-3.0
• Created: 2014-01-23T15:28:02.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2014-01-23T21:25:52.000Z (almost 11 years ago)
• Last Synced: 2023-08-11T18:00:34.779Z (over 1 year ago)
• Language: C++
• Size: 148 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
TPySelector example

===================

Granted, this example does not make a lot of sense from a physical point of few but demonstrates how to run a local analysis written in python and using the TPySelector class.

Unfortunately, I cannot make the root files with the data available so on cannot run this but I hope that the code is clear enough to see what is going on and trust me, it works!

What this progam actuall does is:

1. Get options from the command line and put the files in a chain or fileset.

2. Process the files with Proof-lite. It is not really any analysis, just categorizing tracks into "associated" and "trigger" particles and filling it into a histogram.

It can be run (if one had the files ;)) with:

    $ python main.py --assoc 0.5 1 --triggers 1