Utils

Library of useful functions to work with quadrimomenta. For example functions to get all possible invariant mass pairs, or find the nearest vector from a target.

Parton analyzer

Script to analyze the partons quadrimomenta at Gen level from latino trees.

How to use:

python parton_analyzer.py  latino_tree_file.root [nevents=10] [1 debug=True]

Top Counter

output is a table whose header is:

file tot_events no_t_no_tbar t tbar t_tbar

where:

• no_t_no_tbar: number of events without a top and a tbar
• t: number of events with a t (can include events with a tbar)
• tbar: number of events with a tbar (can include events with a t)
• t_tbar: number of events with a t and a tbar

if you want to get the number of events with only a t (tbar), it is t - t_tbar (tbar - t_tbar)

Unpaired parton analyzer

output is:

• a table whose header is

  filename, tot_events, count_distr, count_tot

  where:
  1. tot_events is the total number of events in the file
  2. count_distr is a list whose entry with index i is the number of events such that i partons are unpaired in the file
  3. count_tot is the number of events in which at least one parton is unpaired in the file
• histograms as png and root files of pt and eta of unpaired partons for every file

In order to complete this step, you should merge all intermediate root files with

python histo_merger_unpaired.py

efficiencies from datacards

Example

The path that you have to specify is the one where the configuration.py file resides. This script expects that the directory datacard resides alongside with that script, inside the directory that you specify.

python efficiencies_from_datacards.py /path/to/plot/configuration