Inclusive Flavour Tagging at LHCb

Fuente: arXiv
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Main Author: Blank, J. E.
Format: Preprint
Published: 2026
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author Blank, J. E.
author_facet Blank, J. E.
contents A new algorithm based on a deep neural network, DeepSets, for tagging the production flavour of neutral $B^0$ and $B^0_s$ mesons in proton-proton collisions is presented. Exploiting a comprehensive set of tracks associated with the hadronization process, the algorithm is calibrated on data collected by the LHCb experiment at a centre-of-mass energy of $13$ TeV. This inclusive approach enhances the flavour tagging performance beyond the established same-side and opposite-side tagging methods. The observed gains in tagging power of $35\%$ for $B^0$ mesons and $20\%$ for $B_s^0$ mesons relative to the combined performance of the existing LHCb flavour-tagging algorithms offer significant benefits for precision measurements of $C\!P$ violation and mixing in the neutral $B$ meson systems.
format Preprint
id arxiv_https___arxiv_org_abs_2602_15625
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Inclusive Flavour Tagging at LHCb
Blank, J. E.
High Energy Physics - Experiment
A new algorithm based on a deep neural network, DeepSets, for tagging the production flavour of neutral $B^0$ and $B^0_s$ mesons in proton-proton collisions is presented. Exploiting a comprehensive set of tracks associated with the hadronization process, the algorithm is calibrated on data collected by the LHCb experiment at a centre-of-mass energy of $13$ TeV. This inclusive approach enhances the flavour tagging performance beyond the established same-side and opposite-side tagging methods. The observed gains in tagging power of $35\%$ for $B^0$ mesons and $20\%$ for $B_s^0$ mesons relative to the combined performance of the existing LHCb flavour-tagging algorithms offer significant benefits for precision measurements of $C\!P$ violation and mixing in the neutral $B$ meson systems.
title Inclusive Flavour Tagging at LHCb
topic High Energy Physics - Experiment
url https://arxiv.org/abs/2602.15625