Aman Desai

Monte Carlo Event Generator for the ABC theory

pip install pymcabc

The physics of ABC model (theory) is described in Grifiths and Aitchison.

1. Import pymcabc:

import pymcabc

1. Define the process, for example:

pymcabc.DefineProcess('A A > B B',mA=4,mB=10,mC=1,pi=30)

2. Calculate the total cross section of the process (in barn):

pymcabc.CrossSection().calc_xsection()

3. Generate and Save events using a single command. Select whether to allow final state particle decays or not. Also select whether to apply detector effects on particle.

pymcabc.SaveEvent(10000,boolDecay=True,boolDetector=True).to_root('name.root')

4. Analyze the root file. Basic analysis is possible by calling the PlotData module

pymcabc.PlotData.file('name.root')

1. For physics involved in the calculation, see for example, Introduction to Elementary Particles, David Griffiths.