Performance of the ALICE secondary vertex b-tagging algorithm in p-Pb collisions

TL;DR

This paper evaluates the performance of the ALICE secondary vertex b-tagging algorithm in p-Pb collisions at 5.02 TeV, focusing on its ability to identify beauty jets via displaced vertices.

Contribution

It presents the Monte Carlo-based performance assessment of the ALICE b-tagging algorithm specifically for p-Pb collision data at 5.02 TeV.

Findings

The b-tagging algorithm effectively identifies beauty jets in p-Pb collisions.

Displaced secondary vertex properties are crucial for b-jet tagging.

Performance metrics demonstrate the algorithm's suitability for heavy-ion collision analysis.

Abstract

The hot and dense nuclear matter, that is produced in heavy-ion collisions, could be studied by jets originating from beauty quarks. In-medium energy loss of these quarks provides information on several properties of the quark-gluon plasma, produced in ultra-relativistic heavy-ion collisions. Reconstructed jets are powerful tools, since they offer access to kinematics of these hard-scattered partons. Beauty hadrons are specific for their long lifetime, large mass and large-multiplicity decays. Due to the long lifetime beauty hadrons decay at displaced secondary vertices. In the ALICE experiment, secondary vertex properties are used to tag b-jets. The study of Monte Carlo based performance of the b-tagging algorithm for charged jets in p-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV is discussed in proceedings.