Show simple item record

dc.contributor.advisorPEZOA, RAQUEL
dc.contributor.authorRODRIGUEZ MORA, JOHN IGNACIO
dc.contributor.otherCARQUIN, EDSON
dc.coverage.spatialCasa Central Valparaísoes_CL
dc.date.accessioned2021-01-28T16:30:21Z
dc.date.available2021-01-28T16:30:21Z
dc.date.issued2021-01
dc.identifier.urihttps://hdl.handle.net/11673/49967
dc.description.abstractA Toroidal LHC Apparatus (ATLAS) is one of the two general purpose detectors at the Large Hadron Collider (LHC), at Conseil Européen pour la Recherche Nucléaire (CERN). Inside this, bunches of protons collide with a frequency of 40 MHz, and each collision, or event, can produce huge amounts of particles. The classification of LHC events is one of the most important analysis tasks in HEP, and a fundamental work for searching new phenomena. This work is focused in boosted di-Higgs decaying into b ¯bτ +τ −, handled as a classification task using deep learning techniques. Many models were trained, and the best 9 of them are tested, evaluated and compared. The best model resulted from taking an approach with Parameterized Neural Networks (PNN) and Cost-sensitive learning, specifically increasing the background class weight. Scores with these techniques reached above 0.9 F1-score on both background and signal classes. This work is a computer science study in collaboration with the Physics Department and CCTVal.es_CL
dc.format.extent84 H.es_CL
dc.subjectCERNes_CL
dc.subjectATLASes_CL
dc.subjectDI-HIGGSes_CL
dc.subjectDEEP LEARNINGes_CL
dc.subjectEVENT CLASSIFICATIONes_CL
dc.subjectIMBALANCE LEARNINGes_CL
dc.titleDEEP LEARNING APPLIED IN THE CLASSIFICATION OF EVENTS GENERATED AT THE ATLAS EXPERIMENTes_CL
dc.typeTesis de Pregrado
dc.description.degreeINGENIERO CIVIL INFORMÁTICOes_CL
dc.contributor.departmentUniversidad Técnica Federico Santa María. Departamento de Informáticaes_CL
dc.description.programDEPARTAMENTO DE INFORMÁTICA. INGENIERÍA CIVIL INFORMÁTICAes_CL
dc.identifier.barcode192559987UTFSM.pdfes_CL


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record