Bayesian location of the QCD critical point from a holographic perspective

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1. Proche Pas pertinent

   Modeling the diffusive dynamics of critical fluctuations near the QCD critical point

   Marlene Nahrgang, Marcus Bluhm · 2020 · Phys. Rev. D 102, 094017 (2020) · Résumé IA disponible

   Résumé scientifique

   The experimental search for the QCD critical point by means of relativistic heavy-ion collisions necessitates the development of dynamical models of fluctuations. In this work we study the fluctuations of the net-baryon density near the critical point. Due to net-baryon number conservation the correct dynamics is given by the fluid dynamical diffusion equation, which we extend by a white noise stochastic term to include intrinsic fluctuations. We quantify finite resolution and finite size effects by comparing our numerical results to analytic expectations for the structure factor and the equal-time correlation function. In small systems the net-baryon number conservation turns out to be quan…

2. Apparenté Pas pertinent

   The Silver Blaze Problem in QCD

   Thomas D. Cohen · 2026 · Physique nucléaire théorique · Résumé IA disponible

   Résumé scientifique

   This article provides a pedagogical introduction to the Silver Blaze problem. This problem refers to the difficulty of reconciling to perspectives on QCD with a chemical potential. The first is the phenomenological fact that at $T=0$ QCD remains in its ground state -- the vacuum -- with all physical observables unchanged whenever the magnitude of a chemical potential is less than some critical value. The second is the fact that in functional integral treatments, the inclusion of any nonzero chemical potential changes all eigenvalues of the Dirac operator for every gauge configuration, leading to a natural expectation that the functional determinants also changes, which leads to the expectati…

3. Apparenté Pas pertinent

   Dileptons Get Nearly "Blind" to Mass-Scaling Effects In Hot and/or Dense Matter

   Mannque Rho · 2009 · Physique nucléaire théorique · Pas encore résumé

   Résumé scientifique

   Based on BHHRS and further sharpened by discussions with Gerry Brown that I had in October 2008, we arrive at the present assessment of the dilepton saga, namely, that dileptons become "blind" to changes in the vacuum structure of chiral symmetry (such as, e.g., BR scaling at high temperature and/or at high density and hence are {\em not} an appropriate probe for a signal for partial or complete chiral restoration, contrary to what has been widely believed. There, however, are a variety of indirect indications that the scaling notion is qualitatively, if not quantitatively, valid and should work in various low-energy nuclear phenomena, and it is fair to conclude that while there is no direct…

4. Apparenté Pas pertinent

   Theory of Jet Quenching in Ultra-Relativistic Nuclear Collisions

   Guang-You Qin · 2014 · Physique nucléaire théorique · Résumé IA disponible

   Résumé scientifique

   We present a short overview of recent progress in the theory of jet quenching in ultra-relativistic nuclear collisions, including phenomenological studies of jet quenching at RHIC and the LHC, development in NLO perburbative QCD calculation of jet broadening and energy loss, full jet evolution and modification, medium response to jet transport, and lattice QCD and AdS/CFT studies of jet quenching.

5. Apparenté Pas pertinent

   The pressure distribution and shear forces inside the proton

   P. E. Shanahan, W. Detmold · 2018 · Phys. Rev. Lett. 122, 072003 (2019) · Résumé IA disponible

   Résumé scientifique

   The distributions of pressure and shear forces inside the proton are investigated using lattice Quantum Chromodynamics (LQCD) calculations of the energy momentum tensor, allowing the first model-independent determination of these fundamental aspects of proton structure. This is achieved by combining recent LQCD results for the gluon contributions to the energy momentum tensor with earlier calculations of the quark contributions. The utility of LQCD calculations in exploring, and supplementing, the assumptions in a recent extraction of the pressure distribution in the proton from deeply virtual Compton scattering experiments is also discussed. Based on this study, the target kinematics for ex…

6. Apparenté Pas pertinent

   Quantum computing of the $^6$Li nucleus via ordered unitary coupled clusters

   Oriel Kiss, Michele Grossi, Pavel Lougovski et al. · 2022 · Phys. Rev. C 106, 034325 (2022) · Résumé IA disponible

   Résumé scientifique

   The variational quantum eigensolver (VQE) is an algorithm to compute ground and excited state energy of quantum many-body systems. A key component of the algorithm and an active research area is the construction of a parametrized trial wavefunction -- a so called variational ansatz. The wavefunction parametrization should be expressive enough, i.e. represent the true eigenstate of a quantum system for some choice of parameter values. On the other hand, it should be trainable, i.e. the number of parameters should not grow exponentially with the size of the system. Here, we apply VQE to the problem of finding ground and excited state energies of the odd-odd nucleus $^6$Li. We study the effects…

7. Apparenté Pas pertinent

   Probing Nuclear Structure of Heavy Ions at the Large Hadron Collider

   Heikki Mäntysaari, Björn Schenke, Chun Shen et al. · 2024 · Physique nucléaire théorique · Résumé IA disponible

   Résumé scientifique

   We perform high-statistics simulations to study the impacts of nuclear structure on the ratios of anisotropic flow observables in $^{208}$Pb+$^{208}$Pb and $^{129}$Xe+$^{129}$Xe collisions at the Large Hadron Collider. Even with $40\%$ difference in atomic numbers between $^{208}$Pb and $^{129}$Xe nuclei, the ratios of anisotropic flow in the same centrality class between the two collision systems are strongly affected by the nuclear structure inputs in the initial state. The ratios of $v_2\{4\}/v_2\{2\}$ in these collisions are sensitive to the nuclear skin thickness of the colliding nuclei, providing indirect constraints on the nuclei's neutron skin. Our model predictions serve as a benchm…

8. Apparenté Pas pertinent

   Decoding Neutron Star Observations: Revealing Composition through Bayesian Neural Networks

   Valéria Carvalho, Márcio Ferreira, Tuhin Malik et al. · 2023 · Physique nucléaire théorique · Pas encore résumé

   Résumé scientifique

   We exploit the great potential offered by Bayesian Neural Networks (BNNs) to directly decipher the internal composition of neutron stars (NSs) based on their macroscopic properties. By analyzing a set of simulated observations, namely NS radius and tidal deformability, we leverage BNNs as effective tools for inferring the proton fraction and sound speed within NS interiors. To achieve this, several BNNs models were developed upon a dataset of $\sim$ 25K nuclear EoS within a relativistic mean-field framework, obtained through Bayesian inference that adheres to minimal low-density constraints. Unlike conventional neural networks, BNNs possess an exceptional quality: they provide a prediction u…