TL;DR
This paper discusses the development and evaluation of b-tagging algorithms in CMS, which identify b-quark jets using properties like secondary vertices and impact parameters, based on 7 TeV collision data.
Contribution
It introduces and assesses new b-tagging techniques in CMS that leverage b-hadron properties to improve identification efficiency and reduce mistag rates.
Findings
Effective b-tagging algorithms were developed.
Efficiency and mistag rates were estimated from 7 TeV data.
Results demonstrate improved b-jet identification performance.
Abstract
The identification of b jets is a crucial issue to study and characterize various channels like top quark events and many new physics scenarios. Different b-tagging techniques are defined in CMS which benefit from the long life time, high mass and large momentum fraction of the b-hadron produced in b-quark jet. Effcient algorithms have been developed based on the measure of b-hadron secondary vertex or on tracks with a large impact parameter. Data collected in pp collisions at 7TeV in 2011 are used to estimate both the b-tagging effciency and the mistag rate from light flavor jets.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Particle Detector Development and Performance