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@MASTERSTHESIS{Sulimann:615859,
      author       = {Sulimann, Sen},
      othercontributors = {Tackmann, Kerstin and Moreira de Carvalho, Ana Luisa},
      title        = {{S}uppression of {L}ight $q\bar{q}$ {B}ackgrounds with
                      {M}ultivariate {T}echniques in the {M}easurement of
                      {R}adiative {B}-{M}eson {D}ecays},
      school       = {University of Hamburg},
      type         = {Bachelorarbeit},
      address      = {Hamburg},
      reportid     = {PUBDB-2024-06300},
      pages        = {66},
      year         = {2024},
      note         = {Bachelorarbeit, University of Hamburg, 2024},
      abstract     = {The Standard Model of particle physics has been highly
                      successful in describing fundamental particles and their
                      interactions, but potential extensions are needed to address
                      itslimitations. Precise measurements of rare decays, such as
                      the radiative B → Xsγ decay, provide an opportunity to
                      test Beyond Standard Model (BSM) theories, due to them being
                      suppressed by the Standard Model. This thesis focuses on the
                      suppression of lightquark-antiquark ($q\bar{q}$) continuum
                      backgrounds, a dominant source of noise in the analysis of
                      the B → $X_sγ$ decay, using multivariate classification
                      techniques to improve the signal to -background ratio.
                      Furthermore, an attempt is made to suppress
                      $B\bar{B}$-backgrounds. In particular, Boosted Decision
                      Trees (BDTs) are trained to differentiate the rare B →
                      $X_sγ$ signal from continuum and $B\bar{B}$-backgrounds.
                      Specifically, two approaches are employed: multi-class
                      classifiers and the consecutive application of binary
                      classifiers. The data analyzed were collected by the Belle
                      II detector from $e^+e^−$ -collisions at the SuperKEKB
                      collider in Japan. The work presented in this thesis
                      includes the selection and analysis of discriminating
                      variables, the development and training of BDTs, and the
                      evaluation of their performance. The trained models
                      demonstrate promising results in suppressing background
                      noise, especially continuum events. The analysis provides
                      valuable insights into the variable importance and
                      limitations of the single approaches, as well as the
                      potential for future refinement.},
      cin          = {BELLE},
      cid          = {I:(DE-H253)BELLE-20210408},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611)},
      pid          = {G:(DE-HGF)POF4-611},
      experiment   = {EXP:(DE-H253)BELLE-20150101},
      typ          = {PUB:(DE-HGF)2},
      url          = {https://bib-pubdb1.desy.de/record/615859},
}