Neural Network Tagger Calibrations in the Search for Nonresonant Higgs Boson Pair Production in the Four b-Quark Decay Channel with Run-3 Data at the Compact Muon Solenoid Experiment
ORAL
Abstract
We will present our analysis of the search for boosted Higgs boson pair production in the four b-quark decay channel, focusing particularly on tagger applications in the analysis. We compare the performance of ParticleNet and Global ParticleTransformer (GloParT) and derive scale factors for both taggers. Our results show that GloParT achieves better performance in terms of area under the receiver operating characteristic (ROC) curve and signal efficiencies at given background efficiencies.
–
Presenters
-
Zichun Hao
Caltech
Authors
-
Zichun Hao
Caltech
-
Si Xie
Caltech/FNAL, Fermi National Accelerator Laboratory
-
Raghav Kansal
California Institute of Technology
-
Javier M Duarte
University of California, San Diego
-
Cristina M Suarez
University of Virginia
-
Daniel Primosch
UC San Diego
-
Cristián Peña
Fermi National Accelerator Laboratory, FNAL
-
Artur Apresyan
FNAL
-
Haoyang Li
University of California, San Diego
-
Maria Spiropulu
Caltech