Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report

Machine Learning techniques have proven the potential to improve the separation of signal and background events in High Energy Physics (HEP) data. This study focuses on the optimization of the tbH$^+$ search sensitivity in the analysis channel with two same electrically charged light leptons and on...

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Autor principal: Duser, Niklas
Lenguaje:eng
Publicado: 2022
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2843046
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author Duser, Niklas
author_facet Duser, Niklas
author_sort Duser, Niklas
collection CERN
description Machine Learning techniques have proven the potential to improve the separation of signal and background events in High Energy Physics (HEP) data. This study focuses on the optimization of the tbH$^+$ search sensitivity in the analysis channel with two same electrically charged light leptons and one hadronically decaying tau. The analysis is performed with simulated data and the results are expressed as expected sensitivity including statistical uncertainties. In addition, the consistency of different limit setting techniques is demonstrated, and signal injection studies are performed.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
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spelling cern-28430462022-12-05T20:40:23Zhttp://cds.cern.ch/record/2843046engDuser, NiklasOptimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student ReportParticle Physics - ExperimentMachine Learning techniques have proven the potential to improve the separation of signal and background events in High Energy Physics (HEP) data. This study focuses on the optimization of the tbH$^+$ search sensitivity in the analysis channel with two same electrically charged light leptons and one hadronically decaying tau. The analysis is performed with simulated data and the results are expressed as expected sensitivity including statistical uncertainties. In addition, the consistency of different limit setting techniques is demonstrated, and signal injection studies are performed.CERN-STUDENTS-Note-2022-222oai:cds.cern.ch:28430462022-12-05
spellingShingle Particle Physics - Experiment
Duser, Niklas
Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report
title Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report
title_full Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report
title_fullStr Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report
title_full_unstemmed Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report
title_short Optimization of tbH$^+$ Signal and Background Separation Using Machine Learning in the 2lSS1tau Channel, Comparison of Limit Setting Techniques and Signal Injection Studies - Summer Student Report
title_sort optimization of tbh$^+$ signal and background separation using machine learning in the 2lss1tau channel, comparison of limit setting techniques and signal injection studies - summer student report
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2843046
work_keys_str_mv AT duserniklas optimizationoftbhsignalandbackgroundseparationusingmachinelearninginthe2lss1tauchannelcomparisonoflimitsettingtechniquesandsignalinjectionstudiessummerstudentreport

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