Bayesian reconstruction of anisotropic flow fluctuations at fixed impact parameter

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Auteurs principaux: Roubertie, Enak, Verdan, Mathis, Kirchner, Andreas, Ollitrault, Jean-Yves
Format: Preprint
Publié: 2025
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author Roubertie, Enak
Verdan, Mathis
Kirchner, Andreas
Ollitrault, Jean-Yves
author_facet Roubertie, Enak
Verdan, Mathis
Kirchner, Andreas
Ollitrault, Jean-Yves
contents The cumulants of the distribution of anisotropic flow are measured accurately in Pb+Pb collisions at the LHC as a function of centrality classifiers (charged multiplicity and/or transverse energy). Using Bayesian inference, we reconstruct from these measurements the probability distribution of anisotropic flow in the ``theorists' frame'' where the impact parameter has a fixed magnitude and orientation, up to $\sim 70\%$ centrality. The variation of flow fluctuations with impact parameter displays direct evidence of viscous damping, which is larger for higher Fourier harmonics, in line with expectations from hydrodynamics. We use intensive measures of non-Gaussian flow fluctuations, which have reduced dependence on centrality. We infer from ATLAS data the magnitude of these intensive non-Gaussianities in each Fourier harmonic. They provide data-driven estimates of response coefficients to initial anisotropies, without resorting to any specific microscopic model of initial conditions. These estimates agree with viscous hydrodynamic calculations.
format Preprint
id arxiv_https___arxiv_org_abs_2503_17035
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Bayesian reconstruction of anisotropic flow fluctuations at fixed impact parameter
Roubertie, Enak
Verdan, Mathis
Kirchner, Andreas
Ollitrault, Jean-Yves
Nuclear Theory
High Energy Physics - Experiment
High Energy Physics - Phenomenology
Nuclear Experiment
The cumulants of the distribution of anisotropic flow are measured accurately in Pb+Pb collisions at the LHC as a function of centrality classifiers (charged multiplicity and/or transverse energy). Using Bayesian inference, we reconstruct from these measurements the probability distribution of anisotropic flow in the ``theorists' frame'' where the impact parameter has a fixed magnitude and orientation, up to $\sim 70\%$ centrality. The variation of flow fluctuations with impact parameter displays direct evidence of viscous damping, which is larger for higher Fourier harmonics, in line with expectations from hydrodynamics. We use intensive measures of non-Gaussian flow fluctuations, which have reduced dependence on centrality. We infer from ATLAS data the magnitude of these intensive non-Gaussianities in each Fourier harmonic. They provide data-driven estimates of response coefficients to initial anisotropies, without resorting to any specific microscopic model of initial conditions. These estimates agree with viscous hydrodynamic calculations.
title Bayesian reconstruction of anisotropic flow fluctuations at fixed impact parameter
topic Nuclear Theory
High Energy Physics - Experiment
High Energy Physics - Phenomenology
Nuclear Experiment
url https://arxiv.org/abs/2503.17035