Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning

There have been huge contributions to the search for Dark Matter (DM) candidates at the Large Harden Colliders (LHC) through the Higgs boson decay. This is because the Higgs portal can give us huge access to visible and dark interactions. The DM photon as known as (γd) is a theoretical particle that...

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Detalles Bibliográficos
Autores principales: Alwahedi, Adnan, Belfkir, Mohamed
Lenguaje:eng
Publicado: 2023
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2867413
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author Alwahedi, Adnan
Belfkir, Mohamed
author_facet Alwahedi, Adnan
Belfkir, Mohamed
author_sort Alwahedi, Adnan
collection CERN
description There have been huge contributions to the search for Dark Matter (DM) candidates at the Large Harden Colliders (LHC) through the Higgs boson decay. This is because the Higgs portal can give us huge access to visible and dark interactions. The DM photon as known as (γd) is a theoretical particle that can be created in the Higgs boson decays H→ γγd. We take into consideration the production of the Higgs boson in the LHC through the gluons fusion (ggF) which has the largest production rate. So our goal in our project is to improve the results of finding the transverse invariant mass (mT) resolution for Dark Photon by using machine learning.
id cern-2867413
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28674132023-08-11T19:45:50Zhttp://cds.cern.ch/record/2867413engAlwahedi, AdnanBelfkir, MohamedImproving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine LearningParticle Physics - ExperimentThere have been huge contributions to the search for Dark Matter (DM) candidates at the Large Harden Colliders (LHC) through the Higgs boson decay. This is because the Higgs portal can give us huge access to visible and dark interactions. The DM photon as known as (γd) is a theoretical particle that can be created in the Higgs boson decays H→ γγd. We take into consideration the production of the Higgs boson in the LHC through the gluons fusion (ggF) which has the largest production rate. So our goal in our project is to improve the results of finding the transverse invariant mass (mT) resolution for Dark Photon by using machine learning.CERN-STUDENTS-Note-2023-038oai:cds.cern.ch:28674132023-08-11
spellingShingle Particle Physics - Experiment
Alwahedi, Adnan
Belfkir, Mohamed
Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning
title Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning
title_full Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning
title_fullStr Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning
title_full_unstemmed Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning
title_short Improving Transverse Invariant Mass Resolution for Dark Photon Searches Using Machine Learning
title_sort improving transverse invariant mass resolution for dark photon searches using machine learning
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2867413
work_keys_str_mv AT alwahediadnan improvingtransverseinvariantmassresolutionfordarkphotonsearchesusingmachinelearning
AT belfkirmohamed improvingtransverseinvariantmassresolutionfordarkphotonsearchesusingmachinelearning

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