Open AccessParticle physics phenomenology with Python 3: $e^- + \bar{\nu}_e \to e^- + \bar{\nu}_e$ scattering in the Fermi theory
Author(s) -
I. Domínguez Jiménez,
R. J. Hernández Pinto,
David F. Rentería-Estrada
Publication year - 2020
Publication title -
revista mexicana de física e
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.178
H-Index - 10
eISSN - 2683-2216
pISSN - 1870-3542
DOI - 10.31349/revmexfise.17.150
Subject(s) - physics , neutrino , particle physics , python (programming language) , large hadron collider , fermi gamma ray space telescope , scattering , nuclear physics , monte carlo method , phenomenology (philosophy) , scattering cross section , statistical physics , computer science , mathematics , quantum mechanics , programming language , statistics , philosophy , epistemology
In this work, we develop an algorithm in Python 3 to compute the theoretical prediction of the electron and electron anti-neutrino scattering cross section using two different numerical methods: {\it i)} Riemann sums and {\it ii)} Monte Carlo integration. We compare the precision among these two methods and the theoretical result. Finally, the theoretical prediction is compared with the result obtained with MadGraph 5 which is commonly used to provide theoretical predictions for the LHC. With this project, we would like to encourage students to use programming languages as a tool for the study of new physics.