001     642744
005     20251216123029.0
037 _ _ |a PUBDB-2025-05593
041 _ _ |a English
100 1 _ |a Vashishtha, Soumyaa
|b 0
|e Corresponding author
|g female
|0 P:(DE-H253)PIP1111374
|u desy
245 _ _ |a Search for long-lived supersymmetric decays in CMS using machine learning methods
|f 2024-07-15 - 2025-07-07
260 _ _ |c 2025
300 _ _ |a 66
336 7 _ |a Output Types/Supervised Student Publication
|2 DataCite
336 7 _ |a Thesis
|0 2
|2 EndNote
336 7 _ |a MASTERSTHESIS
|2 BibTeX
336 7 _ |a masterThesis
|2 DRIVER
336 7 _ |a Master Thesis
|b master
|m master
|0 PUB:(DE-HGF)19
|s 1765882259_1485272
|2 PUB:(DE-HGF)
336 7 _ |a SUPERVISED_STUDENT_PUBLICATION
|2 ORCID
502 _ _ |a Masterarbeit, University of Cologne, 2025
|c University of Cologne
|b Masterarbeit
|d 2025
|o 2025-07-07
520 _ _ |a As the search for physics beyond the Standard Model continues, this thesis presentsan analysis in the long-lived particle (LLP) supersymmetry sector. A Boosted DecisionTree (BDT) classifier was developed to enhance the search for long-lived supersymmetricpartner particles of the tau lepton (stau) particles in the muon-hadronic tau channel at theCMS detector in LHC, motivated by Gauge Mediated Supersymmetry Breaking (GMSB)scenarios. The signal region is characterized by the staus decaying to a muon and hadronictau. These displaced topologies were analyzed with the help of machine learning tools. Usingsimulated Run 2 CMS data, a BDT was constructed, including input feature selection, eventweighting, cross-validation, and model optimization. It demonstrates strong performance,achieving up to 90% signal efficiency while maintaining background misidentification ratesbelow 10−4, depending on the chosen working point. These results demonstrate the BDT’spotential for deployment in ongoing and future searches for long-lived particles at the LHC.Future work will address systematic uncertainties and integrate the BDT into the full eventselection workflow to further improve sensitivity to GMSB-inspired new physics.
536 _ _ |a 611 - Fundamental Particles and Forces (POF4-611)
|0 G:(DE-HGF)POF4-611
|c POF4-611
|f POF IV
|x 0
693 _ _ |a LHC
|e LHC: CMS
|1 EXP:(DE-588)4398783-7
|0 EXP:(DE-H253)LHC-Exp-CMS-20150101
|5 EXP:(DE-H253)LHC-Exp-CMS-20150101
|x 0
700 1 _ |a Jolie, Jan
|0 P:(DE-HGF)0
|b 1
|e Thesis advisor
700 1 _ |a Melzer-Pellmann, Isabell
|0 P:(DE-H253)PIP1001954
|b 2
|e Thesis advisor
|u desy
700 1 _ |a Desch, Klaus
|0 P:(DE-H253)PIP1093322
|b 3
|e Thesis advisor
856 4 _ |u https://bib-pubdb1.desy.de/record/642744/files/Soumyaa_Master_Thesis.pdf
|y Restricted
856 4 _ |u https://bib-pubdb1.desy.de/record/642744/files/Soumyaa_Master_Thesis.pdf?subformat=pdfa
|x pdfa
|y Restricted
910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
|k DESY
|b 0
|6 P:(DE-H253)PIP1111374
910 1 _ |a Deutsches Elektronen-Synchrotron
|0 I:(DE-588b)2008985-5
|k DESY
|b 2
|6 P:(DE-H253)PIP1001954
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 3
|6 P:(DE-H253)PIP1093322
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Matter and the Universe
|1 G:(DE-HGF)POF4-610
|0 G:(DE-HGF)POF4-611
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-600
|4 G:(DE-HGF)POF
|v Fundamental Particles and Forces
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-H253)CMS-20120731
|k CMS
|l LHC/CMS Experiment
|x 0
980 _ _ |a master
980 _ _ |a EDITORS
980 _ _ |a VDBINPRINT
980 _ _ |a I:(DE-H253)CMS-20120731
980 _ _ |a UNRESTRICTED


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