Jan 2 – 7, 2018
Skeikampen, Norway
Europe/Oslo timezone

Using Machine Learning for a Fast Evaluation of Supersymmetric NLO Cross Sections

Jan 4, 2018, 6:30 PM
Skeikampen, Norway

Skeikampen, Norway

Hotellvegen 3, 2652 Svingvoll, Norway
Contributed talk Particle Physics and Artificial Intelligence Thursday PM


Jon Vegard Sparre (University of Oslo)


In this Masters thesis we have developed a faster way to calculate
supersymmetric cross sections at next-to-leading order (NLO) by using
machine learning techniques. This method teaches the computer software
to imitate the cross section function, facilitating the evaluation of a
large number of parameter points in a short period of time. Training is
carried out based on data generated with SoftSUSY and Prospino 2.1. We
have used the phenomenological MSSM-24 as an example model with the
production of gluino pairs as an example process.

Primary author

Jon Vegard Sparre (University of Oslo)

Presentation materials