Playing the devil's advocate to bound hidden systematic uncertainties
G.Ā Hijano*,
D.Ā Lancierini,
A.Ā Marshall,
A.Ā Mauri,
P.H.Ā Owen,
M.Ā Patel,
K.Ā Petridis,
S.R.Ā Qasim,
N.Ā Serra,
W.Ā Sutcliffe and
H.Ā Tilquin*: corresponding author
Pre-published on:
January 22, 2025
Published on:
April 29, 2025
Abstract
Experimental measurements of š¯‘¸-hadron decays encounter a broad spectrum of backgrounds due
to the numerous possible decay channels with similar final states. Additionally, computational
constraints limit the number of simulations to the most significant backgrounds. Identifying the
leading backgrounds requires a careful analysis of the final state particles, potential misidentifications and kinematic overlaps. This talk introduces an innovative approach utilising machine
learning to determine the critical backgrounds impacting measurements of š¯‘¸-hadron decays.
DOI: https://doi.org/10.22323/1.476.1015
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