Implementing a machine learning classifier for the proton-proton to H+ and X, H+ to a tau lepton and a neutrino channel in CMS in the COFFEA framework

Kössi, Aapo

Implementing a machine learning classifier for the proton-proton to H+ and X, H+ to a tau lepton and a neutrino channel in CMS in the COFFEA framework



Title:	Implementing a machine learning classifier for the proton-proton to H+ and X, H+ to a tau lepton and a neutrino channel in CMS in the COFFEA framework
Author(s):	Kössi, Aapo
Date:	2023-01-23
Language:	en
Pages:	33
Major/Subject:	Teknillinen fysiikka
Degree programme:	Teknistieteellinen kandidaattiohjelma
Supervising professor(s):	Martikainen, Jani-Petri
Thesis advisor(s):	Lehti, Sami
Keywords:	CMS, deep neural networks, charged Higgs boson, BSM, COFFEA
Full text:	Access to full text
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