Constraining the Charm-Yukawa coupling at the Large Hadron Collider

TL;DR

This paper evaluates the potential to measure the charm Yukawa coupling at the high-luminosity LHC using advanced analysis techniques across multiple production channels, aiming to improve sensitivity and reduce background noise.

Contribution

It introduces a comprehensive theoretical framework combining kinematic cuts and neural network methods to enhance charm Yukawa coupling detection at the LHC.

Findings

Neural network techniques improve signal-background discrimination.

Multiple production channels offer complementary sensitivity.

Results expressed in signal strengths facilitate experimental comparison.

Abstract

We present theoretical results for the sensitivity of charm Yukawa coupling measurements in future high-luminosity LHC runs in three channels: Vector Boson Fusion (VBF), W Higgs-strahlung and Z Higgs-strahlung production of a Higgs boson and its subsequent decay into charm quarks. To reduce the overwhelmingly large backgrounds and to reduce false positives, we apply a set of simple kinematic and jet feature cuts and feed neural network data structures of three types; jet features, jet images and particle level features. To facilitate straightforward comparison with experimental studies, we express our results in terms of signal strengths.