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• W2098947379 abstract "Analysis and interpretation of spectrum and correlation data from high-energy nuclear collisions is currently controversial because two opposing physics narratives derive contradictory implications from the same data, one narrative claiming collision dynamics is dominated by dijet production and projectile-nucleon fragmentation, the other claiming collision dynamics is dominated by a dense, flowing QCD medium. Opposing interpretations seem to be supported by alternative data models, and current model-comparison schemes are unable to distinguish between them. There is clearly need for a convincing new methodology to break the deadlock. In this study we introduce Bayesian inference (BI) methods applied to angular correlation data as a basis to evaluate competing data models. For simplicity the data considered are projections of two-dimensional (2D) angular correlations onto a 1D azimuth from three centrality classes of 200-GeV Au-Au collisions. We consider several data models typical of current model choices, including Fourier series (FS) and a Gaussian plus various combinations of individual cosine components. We evaluate model performance with BI methods and with power-spectrum analysis. We find that FS-only models are rejected in all cases by Bayesian analysis, which always prefers a Gaussian. A cylindrical quadrupole $cos(2ensuremath{phi})$ is required in some cases but rejected for 0%--5%-central Au-Au collisions. Given a Gaussian centered at the azimuth origin, ``higher harmonics'' $cos(mensuremath{phi})$ for $m>2$ are rejected. A model consisting of $mathrm{Gaussian}+mathrm{dipole}cos(ensuremath{phi})+mathrm{quadrupole}cos(2ensuremath{phi})$ provides good 1D data descriptions in all cases." @default.
• W2098947379 created "2016-06-24" @default.
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• W2098947379 date "2015-09-15" @default.
• W2098947379 modified "2023-09-26" @default.
• W2098947379 title "Optimal modeling of 1D azimuth correlations in the context of Bayesian inference" @default.
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• W2098947379 doi "https://doi.org/10.1103/physrevc.92.034908" @default.
• W2098947379 hasPublicationYear "2015" @default.
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