A5031517279- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Cosmology and Gravitation Theories
- Nuclear reactor physics and engineering
- Nuclear physics research studies
- Nuclear Physics and Applications
- Quantum, superfluid, helium dynamics
- Computational Physics and Python Applications
- Pulsars and Gravitational Waves Research
- Neural Networks and Applications
- Aerodynamics and Acoustics in Jet Flows
- Quantum many-body systems
- Stochastic processes and statistical mechanics
- Machine Learning in Materials Science
- Plasma and Flow Control in Aerodynamics
- Advanced Data Processing Techniques
- Seismology and Earthquake Studies
- Medical Imaging Techniques and Applications
- Superconducting Materials and Applications
- Fluid Dynamics and Turbulent Flows
- Advanced Semiconductor Detectors and Materials
- Artificial Intelligence in Healthcare and Education
- Gaussian Processes and Bayesian Inference
- Model Reduction and Neural Networks
Central China Normal University
2015-2025
Lawrence Berkeley National Laboratory
2012-2024
South China Normal University
2024
Aschaffenburg University of Applied Sciences
2024
Frankfurt Institute for Advanced Studies
2016-2023
Stony Brook University
2023
Goethe University Frankfurt
2021-2023
GSI Helmholtz Centre for Heavy Ion Research
2021-2023
University of California, Berkeley
2017-2022
Thomas Jefferson National Accelerator Facility
2022
The microscopic description of heavy-ion reactions at low beam energies is achieved within hadronic transport approaches. In this article a new approach called ``Simulating Many Accelerated Strongly interacting Hadrons'' (SMASH) introduced and applied to study the production nonstrange particles in ${E}_{\mathrm{kin}}=0.4A--2A$ GeV. First, model described including details about collision criterion, initial conditions resonance formation decays. To validate approach, equilibrium properties...
Off-central relativistic heavy ion collisions impart very large orbital angular momenta onto the quark-gluon plasma, creating a strong vortex in initial hot fluid and appearing eventually, via spin-vorticity coupling, as particle polarization. From vorticity field given by multi-phase transport model authors compute global polarization of $\mathrm{\ensuremath{\Lambda}}$ baryons which is agreement with experimental data. This suggests that spin hadron could provide information on plasma flow.
Fermions become polarized in a vortical fluid due to spin-vorticity coupling, and the polarization density is proportional local vorticity. The radial expansion converts spatial structures transverse plane spin correlations azimuthal angle of final Λ hyperons' momentum high-energy heavy-ion collisions. Using (3+1)D viscous hydrodynamic model with fluctuating initial conditions from multiphase transport (AMPT) model, we reveal two that are common many dynamic systems: right-handed toroidal...
We study the spin polarization generated by hydrodynamic gradients. In addition to widely studied thermal vorticity effects, we identify an undiscovered contribution from fluid shear. This shear-induced (SIP) can be viewed as analog of strain-induced observed in elastic and nematic materials. obtain explicit expression for SIP using quantum kinetic equation linear response theory. Based on a realistic model, compute differential along both beam direction $\hat{z}$ out-plane $\hat{y}$...
Advances in machine learning methods provide tools that have broad applicability scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances will facilitate discoveries and societal applications. This Review gives a snapshot which has been transformed by techniques.
Abstract Although seemingly disparate, high-energy nuclear physics (HENP) and machine learning (ML) have begun to merge in the last few years, yielding interesting results. It is worthy raise profile of utilizing this novel mindset from ML HENP, help interested readers see breadth activities around intersection. The aim mini-review inform community current status present an overview application HENP. From different aspects using examples, we examine how scientific questions involving HENP...
Hadron spectra and elliptic flow in high-energy heavy-ion collisions are studied within a (3+1)D ideal hydrodynamic model with fluctuating initial conditions given by the AMPT Monte Carlo model. Results from event-by-event simulations compared experimental data at both Relativistic Heavy Ion Collider Large energies. Fluctuations energy density come not only number of coherent soft interactions overlapping nucleons but also incoherent semi-hard parton scatterings each binary nucleon...
Fermions become polarized in a vorticular fluid due to spin-vorticity coupling. Such polarization can be calculated from the Wigner function quantum kinetic approach. Extending previous results for chiral fermions, we derive massive fermions up next-to-leading order spatial gradient expansion. The density of axial vector component and is found proportional local vorticity $\omega$. polarizations per particle anti-fermions decrease with chemical potential increase energy (mass). Both...
A primordial state of matter consisting free quarks and gluons that existed in the early universe a few microseconds after Big Bang is also expected to form high-energy heavy-ion collisions. Determining equation (EoS) such ultimate goal experiments. Here we use supervised learning with deep convolutional neural network identify EoS employed relativistic hydrodynamic simulations heavy ion High-level correlations particle spectra transverse momentum azimuthal angle learned by act as an...
Studies of fluctuations and correlations soft hadrons hard electromagnetic probes the dense strongly interacting medium require event-by-event hydrodynamic simulations high-energy heavy-ion collisions that are computing intensive. We develop a $(3+1)$-dimensional viscous model---CLVisc is parallelized on graphics processing unit (GPU) by using open language (OpenCL) with 60 times performance increase for spacetime evolution more than 120 Cooper--Frye particlization relative to without GPU...
Coupled Linear Boltzmann Transport and hydrodynamics (CoLBT-hydro) is developed for co-current event-by-event simulations of jet transport jet-induced medium excitation (j.i.m.e.) in high-energy heavy-ion collisions. This made possible by a GPU parallelized (3+1)D that has source term from the energy-momentum deposition propagating shower partons provides real time update bulk evolution subsequent transport. Hadron spectra $\gamma$-jet events A+A collisions at RHIC LHC are calculated first...
We explore the perspectives of machine learning techniques in context quantum field theories. In particular, we discuss two-dimensional complex scalar theory at nonzero temperature and chemical potential -- a with nontrivial phase diagram. A neural network is successfully trained to recognize different phases this system predict value various observables, based on configurations. analyze broad range potentials find that robust able patterns far away from point where it was trained. Aside...
We revisit the azimuthal angle dependence of local spin polarization hyperons in heavy-ion collisions at 200 GeV framework (3+1)D viscous hydrodynamic model CLVisc. Two different initial conditions are considered our simulation: optical Glauber condition without orbital angular momentum and AMPT with an momentum. find that hyperon strongly depends on choice so-called "spin chemical potential" $\Omega_{\mu\nu}$. With $\Omega_{\mu\nu}$ chosen to be proportional temperature vorticity,...
The deuteron yield in Pb+Pb collisions at $\sqrt{s_{NN}} = 2.76$ TeV is consistent with thermal production a freeze-out temperature of $T 155$ MeV. existence deuterons binding energy 2.2 MeV this was described as "snowballs hell". We provide microscopic explanation phenomenon, utilizing relativistic hydrodynamics and switching to hadronic afterburner the above mentioned measured $p_T$-spectra coalescence parameter $B_2(p_T)$ are reproduced without free parameters, only by implementing...
The suppression factor for single inclusive jets in $\text{Pb}+\text{Pb}$ collisions at the Large Hadron Collider (LHC) has a weak dependence on transverse momentum ${p}_{T}$ and remains almost same two colliding energies, $\sqrt{s}=2.76$ 5.02 TeV, though central rapidity density of bulk hadrons increases by about 20%. This phenomenon is investigated within linear Boltzmann transport (LBT) model, which includes elastic inelastic processes based perturbative QCD both jet shower recoil medium...
To study the bulk properties of quark-gluon-plasma (QGP) produced at beam energy scan (BES) energies Relativistic Heavy Ion Collider (RHIC), we extend (3+1)-dimensional viscous hydrodynamics CLVisc to include net baryon number conservation and Israel-Stewart-like equation for diffusion with NEOS-BQS state, fluctuating initial conditions from Monte-Carlo Glauber model, afterburner SMASH. This integrated framework is shown provide a good description identified particle spectra, mean transverse...
The diffusion wake accompanying the jet-induced Mach cone provides a unique probe of properties quark-gluon plasma in high-energy heavy-ion collisions. It can be characterized by depletion soft hadrons opposite direction propagating jet. We explore 3D structure induced γ-triggered jets Pb+Pb collisions at LHC energy within coupled linear Boltzmann transport and hydro model. identify valley caused on top ridge from initial multiple parton interaction (MPI) jet-hadron correlation as function...
In recent years, machine learning (ML) techniques have emerged as powerful tools for studying many-body complex systems, and encompassing phase transitions in various domains of physics. This mini review provides a concise yet comprehensive examination the advancements achieved applying ML to investigate transitions, with primary focus on those involved nuclear matter studies.
The modification of hard jets in an extended static medium held at a fixed temperature is studied using three different Monte Carlo event generators: linear Boltzmann transport (LBT), modular all twist transverse-scattering elastic-drag and radiation (MATTER), algorithm for relativistic treatment heavy-ion interactions (MARTINI). Each generator contains set assumptions regarding the energy virtuality partons within jet versus scale and, hence, applies to epoch space-time history evolution....
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...
Evolution of quark-gluon plasma (QGP) near equilibrium can be described by the second-order relativistic viscous hydrodynamic equations. Consistent and analytically verifiable numerical solutions are critical for phenomenological studies collective behavior QGP in high-energy heavy-ion collisions. A novel analytical solution based on conformal Gubser flow which is a boost-invariant with transverse fluid velocity presented. Due to non-linear nature equation, non-perturbative exhibits features...
Fluctuations in the initial transverse energy-density distribution lead to anisotropic flows as observed central high-energy heavy-ion collisions. Studies of longitudinal fluctuations can shed further light on conditions and dynamical evolution hot quark-gluon matter these Correlations between with varying pseudorapidity gaps Pb+Pb collisions at CERN Large Hadron Collider are investigated using both an event-by-event (3+1)-D ideal hydrodynamical model fluctuating a multiphase transport...
Based on the factorization in perturbative QCD, a jet cross section heavy-ion collisions can be expressed as convolution of p+p and energy loss distribution. Using this simple expression Markov Chain Monte Carlo method, we carry out Bayesian analyses experimental data spectra to extract distributions for both single inclusive γ-triggered jets Pb+Pb with different centralities at two colliding energies Large Hadron Collider. The average has dependence initial that is slightly stronger than...