Performance of the ALICE secondary vertex b-tagging algorithm
Gyulnara Eyyubova, Luk\'a\v{s} Kram\'arik (for the ALICE, Collaboration)
TL;DR
This paper evaluates the performance of a secondary vertex b-tagging algorithm in ALICE for identifying beauty quark jets in p-Pb collisions, focusing on efficiency, rejection, and detector effects correction.
Contribution
It introduces and assesses a displaced secondary-vertex based b-tagging algorithm specifically for ALICE's tracking system in heavy-ion collisions.
Findings
The algorithm achieves high b-jet tagging efficiency.
Rejection rates effectively suppress non-b jets.
Detector response effects can be corrected for accurate tagging.
Abstract
The identification of jets originating from beauty quarks in heavy-ion collisions is important to study the properties of the hot and dense matter produced in such collisions. A variety of algorithms for b-jet tagging was elaborated at the LHC experiments. They rely on the properties of B hadrons, i.e. their long lifetime, large mass and large multiplicity of decay products. In this work, the b-tagging algorithm based on displaced secondary-vertex topologies is described. We present Monte Carlo based performance studies of the algorithm for charged jets reconstructed with the ALICE tracking system in p-Pb collisions at = 5.02 TeV. The tagging efficiency, rejection rate and the correction of the smearing effects of non-ideal detector response are presented.
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