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Licentiate Thesis: Calibration of b-tagging e ciency and search for Dark Matter production
  Thesis defense

Monday 23 May 2016
from 13:00 to 15:00
at FA32
Speaker : Anna Shcherbakova (Stockholm University, Department of Physics)
Abstract : The Large Hadron Collider (LHC) is the most powerful and complex particle accelerator ever built. The ATLAS detector is a general-purpose particle detector at the LHC, designed to cover a wide range of physics measurements. This thesis presents two physics studies performed using data of proton-proton collisions collected with the ATLAS detector at p s = 8 TeV. The identi cation of jets originating from b quarks (b-tagging) is a crucial tool for many physics analyses at the LHC. A new technique to calibrate the e ciency of b-tagging algorithms using high transverse momentum jets is described. This technique allows to perform the calibration using jets with transverse momenta up to 1200 GeV, while the current calibration methods only reach approximately 300 GeV. The results of the calibration are presented. The second study presented in this thesis is a search for Dark Matter (DM) production in association with a pair of heavy avour quarks. A reinterpretation of the results of the ATLAS search for DM at p s = 8 TeV has been done based on simpli ed models. A set of simpli ed models with various DM masses, masses of the exchange particle, that mediates the interaction between DM and the regular matter, and couplings is considered. This study aims to choose benchmark models to be used in future searches at p s = 13 TeV.

AlbaNova  | Last modified 02 May 2016 15:02  |  HELP