CERN Accelerating science

ATLAS Slides
Report number	ATL-PHYS-SLIDE-2023-063
Title	Measurments of Higgs boson decaying into bb or cc pairs, and how to improve them with GNN-based flavour tagging techniques
Author(s)	Tanasini, Martino (INFN e Universita Genova (IT))
Corporate author(s)	The ATLAS collaboration
Collaboration	ATLAS Collaboration
Submitted to	57th Rencontres de Moriond on Electroweak Interactions and Unified Theories, La Thuile, It, 18 - 25 Mar 2023
Submitted by	[email protected] on 04 Apr 2023
Subject category	Particle Physics - Experiment
Accelerator/Facility, Experiment	CERN LHC ; ATLAS
Free keywords	VHbb ; VHcc ; truth-tagging ; flavour-tagging ; ATLAS ; Graph Neural Networks ; Event-Weighting Technique ; HIGGS ; BTAGGING
Abstract	n this talk, the results from two analyses of the Higgs boson decaying into pairs of bb or cc quarks and produced in association with a W or Z boson decaying into leptons are presented. The measurements used proton-proton collisions, corresponding to an integrated luminosity of 139 fb−1, collected at a centre-of-mass energy of s√=13 TeV between 2015 and 2018 by the ATLAS experiment at the Large Hadron Collider. The analyses were conducted in different transverse momentum regimes of the vector gauge bosons, with the decay products of the Higgs bosons reconstructed either as pairs of resolved hadronic jets, or as a single larger radius jet. The two measurements heavily relied on efficient jet flavour-tagging. In addition, both employed a method known as truth jet flavour-tagging to enhance the statistical power of the simulated background samples. New, more sophisticated techniques, based on the use of Graph Neural Networks, are shown to improve the overall performance of jet flavour-tagging algorithms and of the truth-tagging method. They could extend the sensitivity of the ATLAS expriment to the analysed physics processes.