Skip to content

A benchmark to the challenge of compressing an obscured dataset containing Particle Identification

Notifications You must be signed in to change notification settings

Atmyre/LHCb_PID_Compression

 
 

Repository files navigation

LHCb_PID_Compression

A benchmark to the challenge of compressing an obscured dataset containing Particle Identification

The data can be found here: https://zenodo.org/record/1231531#.WyZSQFOFO3V

Download it and put it into a folder called 'Data' in this directory.

Installing FunctionScaler(https://github.com/weissercn/FunctionScaler/) as a dependency is required. This can be done using pip (pip install FunctionScaler). Other requirements: keras, sklearn, pandas, matplotlib, pickle

Run the following notebook in this order:

  1. Prepare
  2. Train
  3. Analyse Output
  4. Cross Check
  5. ROOT compression

About

A benchmark to the challenge of compressing an obscured dataset containing Particle Identification

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.3%
  • Python 0.7%