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Binomial acceptance corrections for particle number distributions in high-energy reactions

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arxiv 1911.03426 v2 pith:24CPWEOJ submitted 2019-11-08 hep-ph hep-exnucl-th

classification hep-phhep-exnucl-th
keywords acceptancebinomialcorrectionnumberreactionsspacestudiedwell
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abstract

The binomial acceptance correction procedure is studied for particle number distributions detected in high energy reactions in finite regions of the momentum space. We present acceptance correction formulas for scaled variance, skewness, and kurtosis. Our considerations include various specific types of particles - positively or negatively charged, baryons and antibaryons - as well as conserved charges, namely, the net baryon number and electric charge. A simple model with effects of exact charge conservation, namely the Bessel distribution, is studied in some detail where effects of multi-particle correlations are present. The accuracy of the binomial filter is studied with UrQMD model simulations of inelastic proton-proton reactions. Binomial acceptance correction procedure works well when used inside a small region of phase space as well as for certain efficiency corrections, in particular for constructing net proton fluctuation from net baryon ones. Its performance is less accurate when applied to obtain UrQMD fluctuations in a finite rapidity window from fluctuations in the full $4\pi$ space.

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Cited by 2 Pith papers

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  1. Critical net-proton number fluctuations with hydrodynamics

    nucl-th 2026-07 conditional novelty 6.0 of 10

    fRG critical fluctuations on hydrodynamic freeze-out hypersurfaces yield non-monotonic net-proton C4/C2 versus collision energy, absent in the HRG baseline.

  2. Exploring the QCD phase diagram through correlations and fluctuations

    nucl-th 2025-12 accept novelty 3.0 of 10

    A synthesis of the QCD critical point search: theoretical estimates cluster at T_C≈100–120 MeV, μ_B≈550–650 MeV, and BES-II cumulant data match non-critical baselines above 10 GeV while 7.7–9 GeV deviations remain une...

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