Extracting trilinear Higgs boson self-coupling events from HH production at the FCC-hh

In this preliminary note, we first investigate the kinematic differences between the triangle and box contributions to gluon-gluon fusion (ggF) Higgs boson pair (HH) production at the loop-induced leading order (LO) and generator level. We then study the separation of those contributions using a boosted decision tree (BDT) or deep neural network (DNN) trained on their kinematics. We show that we can effectively enhance the purity of the triangle process, considering the box contribution as a background to discard, and thus improve the sensitivity of the trilinear Higgs boson self-coupling measurement.

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Publication Details

Published
2025-03-25
DOI
https://doi.org/10.17181/n48y1-rfx71
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
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article

Extracting trilinear Higgs boson self-coupling events from HH production at the FCC-hh

Microbial Natural Products and Biosynthesis
article

Extracting trilinear Higgs boson self-coupling events from HH production at the FCC-hh

article en

Abstract

In this preliminary note, we first investigate the kinematic differences between the triangle and box contributions to gluon-gluon fusion (ggF) Higgs boson pair (HH) production at the loop-induced leading order (LO) and generator level. We then study the separation of those contributions using a boosted decision tree (BDT) or deep neural network (DNN) trained on their kinematics. We show that we can effectively enhance the purity of the triangle process, considering the box contribution as a background to discard, and thus improve the sensitivity of the trilinear Higgs boson self-coupling measurement.

École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Laboratoire Leprince-Ringuet (FR), East China Normal University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Microbial Natural Products and Biosynthesis
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