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Raw yield distribution after machine learning based selection variation

Figure Information
Scope: PWG
PWG-DQ (Dileptons and Quarkonia)
Energy
13.6 TeV
System
p-p
Figure Group
Non-prompt $\psi$(2S) fraction in pp collisions at 13.6 TeV [SQM2026]
Figure Image
Figure image (.eps)
cutvar_pt5.0_7.0.eps
Figure image (.pdf)
cutvar_pt5.0_7.0.pdf
Figure Caption

Raw yield distribution of $\psi$(2S) after machine learning based cut variation. Black points are raw yield extracted from data. The green line is raw yield estimated from ML based cut variation method. 

Detail description

Data sample: LHC24 apass1 skimmed, dielectron trigger

MC: prompt: LHC25k6; non-prompt: LHC25k7

Cut: bkg score < 0.6, vary non-prompt score from 0.04 to 0.5