Speaker
Santiago Rafael Paredes Saenz
(Universite Libre de Bruxelles (BE))
Description
Abstract:
Searches for pairs of Higgs bosons will be, in all likelihood, the best tools to precisely measure the Higgs boson self-coupling $\lambda_{hhh}$ in future colliders. We study various strategies for the $hh\to b \bar{b} b \bar{b}$ search in the HL-LHC era with focus on constraining $\lambda_{hhh}$. We implement a machine-learning-based approach to separate signal and background and apply recent advances in machine learning interpretability, compare the traditional 4 $b$-jet reconstruction to final states with 1 or 2 large-radius jets, and test scenarios with different top-quark Yukawa couplings, among other factors.
Based on arXiv:2004.04240.
Primary authors
Jacob Amacker
William Balunas
(University of Oxford (GB))
Lydia Audrey Beresford
(CERN)
Daniela Bortoletto
(University of Oxford (GB))
James Frost
(University of Oxford (GB))
Cigdem Issever
(Humboldt University of Berlin and DESY (DE))
Jesse Liu
(University of Chicago)
James McKee
Alessandro Micheli
Santiago Rafael Paredes Saenz
(Universite Libre de Bruxelles (BE))
Michael Spannowsky
(IPPP Durham)
Beojan Stanislaus
(CERN)
