| Tesi etd-01192022-162955 | 
    Link copiato negli appunti
  
    Tipo di tesi
  
  
    Tesi di laurea magistrale
  
    Autore
  
  
    ANDREOLA, PASQUALE  
  
    URN
  
  
    etd-01192022-162955
  
    Titolo
  
  
    Test of the Lepton Flavor Universality Violation at CMS
  
    Dipartimento
  
  
    FISICA
  
    Corso di studi
  
  
    FISICA
  
    Relatori
  
  
    relatore Dott. Palla, Fabrizio
correlatore Prof. Messineo, Alberto
  
correlatore Prof. Messineo, Alberto
    Parole chiave
  
  - lepton flavor
- lepton flavor violation
    Data inizio appello
  
  
    07/02/2022
  
    Consultabilità
  
  
    Completa
  
    Riassunto
  
  A test of the Lepton flavor Universality Violation is performed through the measurement
of R(J/ψ) = B(B+c → J/ψτ+ντ)/B(B+c → J/ψμ+νμ). A sample of pp collision data
corresponding to an integrated luminosity of 59.6 fb−1 has been analyzed. It has been
recorded by CMS at LHC at the center of mass energy of 13 TeV. Monte Carlo samples
are re-scaled to the data integrated luminosity with the fit of B+c → J/ψπ+ and B+ →
J/ψK+, used as control channels. These fits are performed through the sum of different
probability density functions of discriminating variables with RooFit. Candidate events
are selected by offline cuts optimized by a genetic algorithm. Some discriminant variables
are presented and evaluated with efficiencies and ROC curves. A binned maximum-
likelihood fit for these discriminating variables is performed using templates of shapes
from Monte Carlo samples. A closure test of the fit procedure is done by splitting the
Monte Carlo sample in half: one is used to extract shapes and the other one to perform
the fit. Finally, this fit procedure is used in the analysis for a preliminary evaluation of
R(J/ψ) and its errors.
of R(J/ψ) = B(B+c → J/ψτ+ντ)/B(B+c → J/ψμ+νμ). A sample of pp collision data
corresponding to an integrated luminosity of 59.6 fb−1 has been analyzed. It has been
recorded by CMS at LHC at the center of mass energy of 13 TeV. Monte Carlo samples
are re-scaled to the data integrated luminosity with the fit of B+c → J/ψπ+ and B+ →
J/ψK+, used as control channels. These fits are performed through the sum of different
probability density functions of discriminating variables with RooFit. Candidate events
are selected by offline cuts optimized by a genetic algorithm. Some discriminant variables
are presented and evaluated with efficiencies and ROC curves. A binned maximum-
likelihood fit for these discriminating variables is performed using templates of shapes
from Monte Carlo samples. A closure test of the fit procedure is done by splitting the
Monte Carlo sample in half: one is used to extract shapes and the other one to perform
the fit. Finally, this fit procedure is used in the analysis for a preliminary evaluation of
R(J/ψ) and its errors.
    File
  
  | Nome file | Dimensione | 
|---|---|
| R_J_Psi_...sis_2.pdf | 7.72 Mb | 
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