Published December 16, 2019
| Version v1
Thesis
Open
Study of single boosted top-quark production at the CMS experiment
Description
In this master's thesis, a first feasibility study for the measurement of single top-quark production in the highly Lorentz-boosted kinematic regime is presented. The analyzed data set corresponds to an integrated luminosity of 35.9 $\mathrm{fb}^{-1}$ and was recorded by the CMS detector at the CERN Large Hadron Collider in the year 2016, using proton-proton collisions at a center-of-mass energy of 13 TeV.
Differential cross sections of single top-quark production in association with a W boson are measured as function of the transverse momentum of the top quark in an interval ranging from 200 GeV up to 1.2 TeV, using the electron+jets and muon+jets final states, presuming that the top quark decays hadronically. Due to the boosted final-state topology, the top quark is reconstructed as one large jet.
A multivariate method is used to discriminate between the signal process and the dominant background, top-quark pair production. In each bin of the transverse momentum of the top-jet candidate, the simulated model is fitted to data according to a maximum-likelihood estimate, utilizing the response distributions of boosted decision trees. In order to extract cross sections on parton level, a simplified bin-by-bin unfolding procedure is employed.
Differential cross sections of single top-quark production in association with a W boson are measured as function of the transverse momentum of the top quark in an interval ranging from 200 GeV up to 1.2 TeV, using the electron+jets and muon+jets final states, presuming that the top quark decays hadronically. Due to the boosted final-state topology, the top quark is reconstructed as one large jet.
A multivariate method is used to discriminate between the signal process and the dominant background, top-quark pair production. In each bin of the transverse momentum of the top-jet candidate, the simulated model is fitted to data according to a maximum-likelihood estimate, utilizing the response distributions of boosted decision trees. In order to extract cross sections on parton level, a simplified bin-by-bin unfolding procedure is employed.
Files
CERN-THESIS-2018-462.pdf
Files
(10.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:176eb88f0dedc78f21a6dbd1831064d2
|
10.5 MB | Preview Download |
Additional details
Identifiers
- CDS
- 2705533
- CDS Report Number
- CERN-THESIS-2018-462
CERN
- Department
- PH - Physics Department
- Programme
- No program participation
- Accelerator
- CERN LHC
- Experiment
- CMS