Atlas B Jet Identification Performance And Efficiency Measurement With Ttover Bar Events In Pp Collisions At Square Roots


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ATLAS B-jet Identification Performance and Efficiency Measurement with Tt[over-bar] Events in Pp Collisions at [square Root]s


ATLAS B-jet Identification Performance and Efficiency Measurement with Tt[over-bar] Events in Pp Collisions at [square Root]s

Author: ATLAS Collaboration CERN

language: en

Publisher:

Release Date: 2019


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Abstract: The algorithms used by the ATLAS Collaboration during Run 2 of the Large Hadron Collider to identify jets containing b-hadrons are presented. The performance of the algorithms is evaluated in the simulation and the efficiency with which these algorithms identify jets containing b-hadrons is measured in collision data. The measurement uses a likelihood-based method in a sample highly enriched in tt ̄ events. The topology of the t→Wb decays is exploited to simultaneously measure both the jet flavour composition of the sample and the efficiency in a transverse momentum range from 20 to 600 GeV. The efficiency measurement is subsequently compared with that predicted by the simulation. The data used in this measurement, corresponding to a total integrated luminosity of 80.5 fb−1, were collected in proton-proton collisions during the years 2015-2017 at a centre-of-mass energy s√= 13 TeV. By simultaneously extracting both the efficiency and jet flavour composition, this measurement significantly improves the precision compared to previous results, with uncertainties ranging from 1 to 8% depending on the jet transverse momentum

Measurement of the C-jet Mistagging Efficiency in Tt[over-bar] Events Using Pp Collision Data at [square Root]s


Measurement of the C-jet Mistagging Efficiency in Tt[over-bar] Events Using Pp Collision Data at [square Root]s

Author: [Study Group] ATLAS Collaboration CERN

language: en

Publisher:

Release Date: 2022


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Abstract: A technique is presented to measure the efficiency with which c-jets are mistagged as b-jets (mistagging efficiency) using tt ̄ events, where one of the W bosons decays into an electron or muon and a neutrino and the other decays into a quark-antiquark pair. The measurement utilises the relatively large and known W→cs branching ratio, which allows a measurement to be made in an inclusive c-jet sample. The data sample used was collected by the ATLAS detector at s√=13 TeV and corresponds to an integrated luminosity of 139 fb−1. Events are reconstructed using a kinematic likelihood technique which selects the mapping between jets and tt ̄ decay products that yields the highest likelihood value. The distribution of the b-tagging discriminant for jets from the hadronic W decays in data is compared with that in simulation to extract the mistagging efficiency as a function of jet transverse momentum. The total uncertainties are in the range 3-17%. The measurements generally agree with those in simulation but there are some differences in the region corresponding to the most stringent b-jet tagging requirement

Measurement of Jets Produced in Top Quark Events Using the Emu Final State with 2 B-tagged Jets in Pp Collisions at 8 TeV with the ATLAS Detector


Measurement of Jets Produced in Top Quark Events Using the Emu Final State with 2 B-tagged Jets in Pp Collisions at 8 TeV with the ATLAS Detector

Author: Jacquelyn Kay Brosamer

language: en

Publisher:

Release Date: 2016


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The transverse momentum and multiplicity of jets produced in top quark events are measured using 20.3 inverse fb of pp collision data at a center-of-mass energy of 8 tev. Jets are selected from top events requiring an opposite-charge $e\mu$ pair and two b-tagged jets in the final state. The data are corrected to obtain the particle-level fiducial cross section for additional jets with rank 1-4, where rank=1 is the leading additional jet. These distributions are used to obtain the extra jet multiplicity as a function of minimum jet pt threshold. The results are compared with several next to leading order Monte Carlo generators. The resulting measurements can be used to tune Monte Carlo QCD modelling and may also reduce associated modelling uncertainties for LHC top quark physics measurements.