Analysis of truth/reconstruction associations

Correlation and ratio plots to study truth (mc) reconstruction.

benchmarks/dis/analysis/truth_reconstruction.py

-#!/usr/bin/env python
-# coding: utf-8
-
-# In[1]:
-
-
 import os
 import numpy as np
 import uproot as ur
@@ -32,9 +26,6 @@ p = int(args.pbeam)
 Nevents = int(args.nevents)
 
 
-# In[16]:
-
-
 for array in ur.iterate(rec_file + ':events',['MCParticles/MCParticles.generatorStatus',
                                           'MCParticles/MCParticles.mass',
                                           'MCParticles/MCParticles.PDG',
@@ -71,7 +62,6 @@ theta_rc = np.arctan2(np.sqrt(px_rc**2+py_rc**2), pz_rc)
 phi_rc = np.arctan2(py_rc, px_rc)
 
 
-# In[ ]:
 
 
 booll = (PDG_mc[simID])==(PDG_rc[recID])