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Nuclear Theory·nucl-th

Wednesday·June 23, 2021

10 papers—3 primary·7 cross-listed

All10Primary3Cross-lists7
  1. 01

    Determining the jet transport coefficient of the quark-gluon plasma using Bayesian parameter estimation

    J. Mulligan🇺🇸 · A. Angerami · R. Arora · S. A. Bass · S. Cao · Y. Chen · J. Coleman · L. Cunqueiro · T. Dai · L. Du · R. Ehlers · H. Elfner and 37 other authors

    We present a new determination of , the jet transport coefficient of the quark-gluon plasma. Using the JETSCAPE framework, we use Bayesian parameter estimation to constrain the dependence of on the jet energy, virtuality, and medium temperature from experimental measurements of inclusive hadron suppression in Au-Au collisions at RHIC and Pb-Pb collisions at the LHC. These results are based on a multi-stage theoretical approach to in-medium jet evolution with the MATTER and LBT jet quenching models. The functional dependence of on jet energy, virtuality, and medium temperature is based on a perturbative picture of in-medium scattering, with components reflecting the different regimes of applicability of MATTER and LBT. The correlation of experimental systematic uncertainties is accounted for in the parameter extraction. These results provide state-of-the-art constraints on and lay the groundwork to extract additional properties of the quark-gluon plasma from jet measurements in heavy-ion collisions.

    nucl-thhep-phnucl-ex2 citations
  2. 02

    Optimizing multilayer Bayesian neural networks for evaluation of fission yields

    Zi-Ao Wang · Junchen Pei

    The Bayesian machine learning is a promising tool for the evaluation of nuclear fission data but its potential capability has not been fully realized. We attempt to optimize the performances of the multilayer Bayesian neural networks for evaluations of fission yields. The influences of adjustments of learning data, activation functions, network structures have been studied. In particular, negative values of net functions have been penalized to avoid non-physical inferences of fission yields. Presently the network with double hidden layers has optimal performances compared to the single-layer or deeper networks. These studies are essential for further developments of precise evaluation methods.

    nucl-thPRC(2021)·24 citations
  3. 03

    Diagnosing the Quark-Gluon Plasma

    Berndt Müller🇺🇸

    Brief review of the hadronic probes that are used to diagnose the quark-gluon plasma produced in relativistic heavy ion collisions and interrogate its properties. Emphasis is placed on probes that have significantly impacted our understanding of the nature of the quark-gluon plasma and confirmed its formation.

    nucl-thhep-ph7 citations

Affiliations

first authorsco-authorsvia INSPIRE