asatk/template-morphing

Use CERN's ROOT framework to fit different distributions to a signal and interpolate in between fits

template-morphing

Use CERN's ROOT framework to fit different distributions to a signal and interpolate in between fits

For py2.7.15

• most recent version of ROOT (CERN)
• numpy
• torch
• matplotlib

For py3.9.6

• most/all required libraries for X. Ding's CCGAN architecture: https://github.com/UBCDingXin/improved_CcGAN.git

1. first make root/ directory in template-morphing/ where all .root files will go

2. user must be in src to have all the proper definitions and reachable code cd src

3. in py2.7.15 env, run python ROOTtoNP_Gaus.py to generate 2D gaussians with number of bins as the spread defined in L32-35

4. edit hyperparameters.json for vicinity parameters

5. in py3.9.6 env, run python TM_Gaus.py to perform the template morphing procedure on generated 2D Gaussians

Needs two separate environments: py2.7.15 and py3.9.6: