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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Unfolding Sensitivity in ALICE Strangeness Multiplicities: Model Dependence in the Tails

Authors: Berretta, Francesco;

Unfolding Sensitivity in ALICE Strangeness Multiplicities: Model Dependence in the Tails

Abstract

Contact email multiversou@gmail.com This report analyzes the unfolding procedure used by the ALICE collaboration to extract strangeness multiplicity distributions P(ns) in high-multiplicity pp collisions at √s = 13 TeV. While the approach marks a methodological advance, the Bayesian unfolding is shown to be ill-conditioned due to low reconstruction efficiencies (A × ε < 10%), leading to prior-dominated tail behavior. A sensitivity analysis using alternative priors (Poisson, exponential) reveals up to 61% variation in tail moments, exceeding ALICE’s reported systematics by a factor of two. These uncertainties propagate into higher-order yields (Yns), potentially weakening the claimed agreement with PYTHIA 8 over EPOS LHC in AS = 0 ratios. Recommendations include explicit prior sensitivity tests, regularization techniques, and bias-corrected multiplicity plots to ensure robustness in future Run 3 analyses.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green