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

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Main Author: Berretta, Francesco
Format: Recurso digital
Published: Zenodo 2025
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author Berretta, Francesco
author_facet Berretta, Francesco
contents <p>Contact email multiversou@gmail.com</p> <p>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.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17635182
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Unfolding Sensitivity in ALICE Strangeness Multiplicities: Model Dependence in the Tails
Berretta, Francesco
<p>Contact email multiversou@gmail.com</p> <p>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.</p>
title Unfolding Sensitivity in ALICE Strangeness Multiplicities: Model Dependence in the Tails
url https://doi.org/10.5281/zenodo.17635182