We demonstrate that momentum-dependent nuclear interactions (MDI) have a large effect on the dynamics and observables of high-energy heavy-ion collisions: A soft potential with MDI suppresses pion kaon yields much more strongly than local hard results in transverse momenta intermediate between potentials. The collective-flow angles deuteron-to-proton ratios are rather insensitive to MDI. Only simultaneous measurements these can give clues equation state at densities interest for supernova...

An extension of the ideal hadron resonance gas (HRG) model is constructed which includes attractive and repulsive van der Waals (VDW) interactions between baryons. This VDW-HRG yields nuclear liquid-gas transition at low temperatures high baryon densities. The VDW parameters $a$ $b$ are fixed by ground state properties matter, temperature dependence various thermodynamic observables zero chemical potential calculated within model. Compared to HRG model, inclusion baryons leads a...

We study in detail the nuclear aspects of a neutron-star merger which deconfinement to quark matter takes place. For this purpose, we make use Chiral Mean Field (CMF) model, an effective relativistic model that includes self-consistent chiral symmetry restoration and and, for reason, predicts existence different degrees freedom depending on local density/chemical potential temperature. then out-of-chemical-equilibrium finite-temperature CMF equation state full general-relativistic...

The system-size dependence of hadrochemistry at vanishing baryon density is considered within the canonical statistical model (CSM) with local exact conservation three conserved charges, allowing for a possibility strangeness undersaturation, i.e., ${\ensuremath{\gamma}}_{S}\ensuremath{\le}1$. Exact number found to be even more important than that in suppression picture CERN Large Hadron Collider, contrast intermediate and low collision energies. applied $p\text{\ensuremath{-}}p$, $p$-Pb,...

The thermodynamic properties of high temperature and density QCD matter are explored within the chiral SU(3)-flavor parity-doublet Polyakov-loop quark-hadron mean-field model, CMF. quark sector CMF model is tuned to describe ${\ensuremath{\mu}}_{B}=0$ thermodynamics data lattice QCD. resulting lines constant physical variables as well baryon number susceptibilities studied in some detail temperature--chemical-potential plane. predicts three consecutive transitions: nuclear first-order...

Bayesian methods are used to constrain the density dependence of QCD equation state (EOS) for dense nuclear matter using data mean transverse kinetic energy and elliptic flow protons from heavy ion collisions (HICs), in beam range sNN=2–10 GeV. The analysis yields tight constraints on dependent EOS up 4 times saturation density. extracted good agreement with other observables measured HIC experiments astrophysical observations both which were not inference. sensitivity inference choice is...

The first principle lattice QCD methods allow to calculate the thermodynamic observables at finite temperature and imaginary chemical potential. These can be compared predictions of various phenomenological models. We argue that Fourier coefficients with respect baryochemical potential are sensitive modeling baryonic interactions. As a application this sensitivity, we consider hadron resonance gas (HRG) model repulsive interactions, which modeled by means excluded volume correction. part...

The statistical model with exact conservation of baryon number, electric charge, and strangeness - the Canonical Statistical Model (CSM) is used to analyze dependence yields light nuclei at midrapidity on charged pion multiplicity LHC. CSM calculations are performed assuming baryon-symmetric matter, using recently developed Thermal-FIST package. nuclei-to-proton yield ratios show a monotonic increase multiplicity, saturation corresponding grand-canonical values in high-multiplicity limit,...

A bstract The coordinate and momentum space configurations of the net baryon number in heavy ion collisions that undergo spinodal decomposition, due to a first-order phase transition, are investigated using state-of-the-art machine-learning methods. Coordinate clumping, which appears leaves strong characteristic imprints on spatial density distribution nearly every event can be detected by modern machine learning techniques. On other hand, corresponding features distributions cannot clearly...

Binary neutron-star mergers and heavy-ion collisions are related through the properties of hot dense nuclear matter formed during these extreme events. In particular, low-energy offer exciting prospects to recreate such conditions in laboratory. However, it remains unexplored what degree those can actually reproduce binary neutron star mergers. As a way understand similarities differences between systems, we discuss their geometry perform direct numerical comparison thermodynamic probed both...

A generalization of the quantum van der Waals equation state for a multicomponent system in grand-canonical ensemble is proposed. The model includes statistical effects and allows us to specify parameters characterizing repulsive attractive forces each pair particle species. applied description asymmetric nuclear matter also mixtures interacting nucleons nuclei. Applications an hadron resonance gas are discussed.

A Cluster Expansion Model (CEM), representing a relativistic extension of Mayer's cluster expansion, is constructed to study baryon number fluctuations in QCD. The temperature dependent first two coefficients, corresponding the partial pressures $B = 1$ and 2$ sectors, are only model input, which we fix by recent lattice data at imaginary baryochemical potential. All other coefficients terms required match Stefan-Boltzmann limit $T \to \infty$. CEM allows calculations susceptibilities...

Relativistic quantum molecular dynamics based on the relativistic mean field theory (RQMD.RMF) is extended by including momentum-dependent potential. The equation of state (EoS) dependence directed and elliptic flow protons in beam energy range $2.3 < \sqrt{s_{NN}}< 20$ GeV examined. It found that depends strongly optical potential at high energies,$\sqrt{s_{NN}} > 3 $ GeV, where no information available experimentally. correlation between effective mass saturation density found:...

As an alternative but unified and more fundamental description for quantum physics, Feynman path integrals generalize the classical action principle to a probabilistic perspective, under which physical observables' estimation translates into weighted sum over all possible paths. The underlying difficulty is tackle whole manifold from finite samples that can effectively represent propagator dictated probability distribution. Modern generative models in machine learning handle representing...

The effects of a finite system volume on thermodynamic quantities, such as the pressure, energy density, specific heat, speed sound, conserved charge susceptibilities, and correlations, in hot dense strongly interacting matter are studied within parity-doublet chiral mean field model. Such an investigation is motivated by relativistic heavy-ion collisions, which create blob QCD volume, consisting hadrons potentially deconfined quarks gluons. effect incorporated introducing lower momentum...

Different scenarios for modeling resonances in a thermal model description of hadron yields measured heavy-ion collisions are explored: the zero-width approximation, energy-independent Breit-Wigner scheme, and energy-dependent (eBW) scheme. Application eBW scheme leads to notable suppression proton yields, stemming mainly from reduced feed-down $\mathrm{\ensuremath{\Delta}}$ because threshold effects. A significantly improved agreement with Pb-Pb at $\sqrt{{s}_{{}_{NN}}}=2.76$ TeV by ALICE...

A new method of event characterization based on Deep Learning is presented. The PointNet models can be used for fast, online event-by-event impact parameter determination at the CBM experiment. For this study, UrQMD and detector simulation are to generate Au+Au collision events 10 AGeV which then train evaluate architectures. trained features like hit position particles in planes, tracks reconstructed from hits or combinations thereof. reconstruct parameters 2-14 fm with a mean error varying...

A method to determine the kinetic freeze-out temperature in heavy-ion collisions from measured yields of short-lived resonances is presented. The resonance production treated framework a thermal model with an evolution between chemical and freeze-outs. many are suppressed at $T={T}_{\mathrm{kin}}<{T}_{\mathrm{ch}}$. We values ${T}_{\mathrm{kin}}$ ${T}_{\mathrm{ch}}$ for various centralities Pb-Pb $\sqrt{{s}_{{}_{NN}}}=2.76$ TeV by fitting abundances both stable hadrons such as...

Abstract As the COVID-19 pandemic continues to ravage world, it is critical assess risk timely on multi-scale. To implement and evaluate public health policies, we develop a machine learning assisted framework predict epidemic dynamics from reported infection data. It contains county-level spatio-temporal epidemiological model, which combines spatial cellular automata (CA) with time sensitive-undiagnosed-infected-removed (SUIR) compatible existing prediction models. The CA-SUIR model shows...

The detection and rapid characterisation of earthquake parameters such as magnitude are prime importance in seismology, particularly applications Earthquake Early Warning (EEW). Traditionally, algorithms STA/LTA used for event detection, while frequency or amplitude domain calculated from 1-3 seconds first P-arrival data sometimes to provide a estimate (body wave) magnitude. Owing extensive involvement human experts parameter determination, these approaches often found be insufficient....