NSR Query Results

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NSR database version of April 27, 2024.

Search: Author = L.G.Pang

Found 42 matches.

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2023DI02      Chin.Phys.C 47, 024105 (2023)

C.Ding, L.-G.Pang, S.Zhang, Y.-G.Ma

Signals of α clusters in 16O+16O collisions at the LHC from relativistic hydrodynamic simulations

NUCLEAR REACTIONS 16O(16O, X), E=7 TeV; analyzed available data from CERN LHC; deduced α cluster structures in oxygen using (3+1)D viscous hydrodynamic program, CLVisc.

doi: 10.1088/1674-1137/ac9fb8
Citations: PlumX Metrics

2023YA03      Phys.Rev.Lett. 130, 052301 (2023)

Z.Yang, T.Luo, W.Chen, L.Pang, X.-N.Wang

3D Structure of Jet-Induced Diffusion Wake in an Expanding Quark-Gluon Plasma

doi: 10.1103/PhysRevLett.130.052301
Citations: PlumX Metrics

2022BO15      Rev.Mod.Phys. 94, 031003 (2022)

A.Boehnlein, M.Diefenthaler, N.Sato, M.Schram, V.Ziegler, C.Fanelli, M.Hjorth-Jensen, T.Horn, M.P.Kuchera, D.Lee, W.Nazarewicz, P.Ostroumov, K.Orginos, A.Poon, X.-N.Wang, A.Scheinker, M.S.Smith, L.-G.Pang

Colloquium: Machine learning in nuclear physics

doi: 10.1103/RevModPhys.94.031003
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2022HE15      Phys.Rev. C 106, 044904 (2022)

Y.He, W.Chen, T.Luo, S.Cao, L.-G.Pang, X.-N.Wang

Event-by-event jet anisotropy and hard-soft tomography of the quark-gluon plasma

doi: 10.1103/PhysRevC.106.044904
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2022LI29      Phys.Rev. C 105, 064306 (2022)

C.-Q.Li, C.-N.Tong, H.-J.Du, L.-G.Pang

Deep learning approach to nuclear masses and α-decay half-lives

ATOMIC MASSES Z=8-110, N=8-160, A=16-280; analyzed binding energy/nucleon for 2149 nuclei using nonlinear transformation and feature representation capability of deep neural network (DNN), and results compared with predictions of liquid-drop model (LDM) and evaluated experimental values in AME2020; deduce the importance of augmenting shell structure and magic numbers predicted from finite-range droplet model in this type of regression, and multi-task learning (MTL) task.

RADIOACTIVITY Z=52-116(α); Z=86-93(α); analyzed Q(α) and T1/2 values for 486 α emitters, including N=106-144 for Z=86-93 α emitters, using nonlinear transformation and feature representation capability of deep neural network (DNN) for α-emitters, and results compared with available experimental values, and with three-parameter Gamow formula for 159 even-even α emitters.

doi: 10.1103/PhysRevC.105.064306
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2022WU09      Phys.Rev. C 105, 034909 (2022)

X.-Y.Wu, G.-Y.Qin, L.-G.Pang, X.-N.Wang

(3+1)-D viscous hydrodynamics at finite net baryon density: Identified particle spectra, anisotropic flows, and flow fluctuations across energies relevant to the beam-energy scan at RHIC

doi: 10.1103/PhysRevC.105.034909
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2021CH06      Nucl.Phys. A1005, 121934 (2021)

W.Chen, S.Cao, T.Luo, L.-G.Pang, X.-N.Wang

The effect of jet-induced medium excitation on Λ/k0s in jet in Pb-Pb collisions

doi: 10.1016/j.nuclphysa.2020.121934
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2021CH41      Phys.Rev.Lett. 127, 082301 (2021)

W.Chen, Z.Yang, Y.He, W.Ke, L.-G.Pang, X.-N.Wang

Search for the Elusive Jet-Induced Diffusion Wake in Z/γ-Jets with 2D Jet Tomography in High-Energy Heavy-Ion Collisions

doi: 10.1103/PhysRevLett.127.082301
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2021DU04      Nucl.Phys. A1005, 121891 (2021)

Y.L.Du, K.Zhou, J.Steinheimer, L.-G.Pang, A.Motornenko, H.-S.Zong, X.-N.Wang, H.Stocker

Identifying the nature of the QCD transition in heavy-ion collisions with deep learning

doi: 10.1016/j.nuclphysa.2020.121891
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2021FU14      Phys.Rev.Lett. 127, 142301 (2021)

B.Fu, S.Y.F.Liu, L.Pang, H.Song, Y.Yin

Shear-Induced Spin Polarization in Heavy-Ion Collisions

doi: 10.1103/PhysRevLett.127.142301
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2021HE05      Nucl.Phys. A1005, 122032 (2021)

Y.He, S.Cao, W.Chen, T.Luo, L.-G.Pang, X.-N.Wang

Interplaying mechanisms behind inclusive jet RAA and extraction of jet energy loss distributions

doi: 10.1016/j.nuclphysa.2020.122032
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2021PA06      Nucl.Phys. A1005, 121972 (2021)

L.-G.Pang

Machine learning for high energy heavy ion collisions

doi: 10.1016/j.nuclphysa.2020.121972
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2021ST06      Nucl.Phys. A1005, 121867 (2021)

J.Steinheimer, L.-G.Pang, K.Zhou, V.Koch, J.Randrup, H.Stoecker

A machine learning study on spinodal clumping in heavy ion collisions

doi: 10.1016/j.nuclphysa.2020.121867
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2021WU01      Nucl.Phys. A1005, 121827 (2021)

X.-Y.Wu, L.-G.Pang, G.-Y.Qin, X.-N.Wang

Effects of dissipative baryon current in heavy-ion collisions at RHIC-BES energies

doi: 10.1016/j.nuclphysa.2020.121827
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2021WU02      Nucl.Phys. A1005, 121831 (2021)

H.-Z.Wu, L.-G.Pang, X.-G.Huang, Q.Wang

Local Spin Polarization in 200 GeV Au+Au and 2.76 TeV Pb+Pb Collisions

doi: 10.1016/j.nuclphysa.2020.121831
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2021ZH06      Nucl.Phys. A1005, 121847 (2021)

K.Zhou, G.Endrodi, L.-G.Pang, H.Stocker

Neural Network Study for 1+1d-Complex Scalar Field Theory

doi: 10.1016/j.nuclphysa.2020.121847
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2020HE21      Phys.Rev.Lett. 125, 122301 (2020)

Y.He, L.-G.Pang, X.-N.Wang

Gradient Tomography of Jet Quenching in Heavy-Ion Collisions

doi: 10.1103/PhysRevLett.125.122301
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2019HE01      Nucl.Phys. A982, 635c (2019)

Y.He, S.Cao, W.Wei, T.Luo, L.-G.Pang, X.N.Wang

E-by-e jet suppression, anisotropy, medium response and hard-soft tomography

NUCLEAR REACTIONS 1H(p, γ), E at σNN=2.76 TeV;208Pb(208Pb, γ), E at σNN=2.76 TeV; measured γ-jets; deduced γ-jets distribution vs transverse momentum, azimuthal anisotropy of hard jets vs elliptic flow of bulk hadrons, suppression factor vs transverse momentum; calculated γ-jets distribution vs transverse momentum using Linear Boltzmann Transport (LBT) model with interaction in Quark-Gluon Plasma (QGP). Compared also with published data from PHENIX and STAR and the suppression factor with ATLAS data.

doi: 10.1016/j.nuclphysa.2018.11.023
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2019HE09      Phys.Rev. C 99, 054911 (2019)

Y.He, S.Cao, W.Chen, T.Luo, L.-G.Pang, X.-N.Wang

Interplaying mechanisms behind single inclusive jet suppression in heavy-ion collisions

doi: 10.1103/PhysRevC.99.054911
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2019HE13      Phys.Rev.Lett. 122, 252302 (2019)

Y.He, L.-G.Pang, X.-N.Wang

Bayesian Extraction of Jet Energy Loss Distributions in Heavy-Ion Collisions

doi: 10.1103/PhysRevLett.122.252302
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2019OL04      Phys.Rev. C 99, 044907 (2019)

D.Oliinychenko, L.-G.Pang, H.Elfner, V.Koch

Microscopic study of deuteron production in PbPb collisions at √ s=2.76 TeV via hydrodynamics and a hadronic afterburner

doi: 10.1103/PhysRevC.99.044907
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2019PA10      Nucl.Phys. A982, 867c (2019)

L.-G.Pang, K.Zhou, N.Su, H.Petersen, H.Stocker, X.-N.Wang

Classify QCD phase transition with deep learning

doi: 10.1016/j.nuclphysa.2018.10.077
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2019WU01      Nucl.Phys. A982, 327c (2019)

X.-Y.Wu, L.-G.Pang, G.-Y.Qin, X.-N.Wang

Longitudinal fluctuations and decorrelations of anisotropic flows in relativistic heavy-ion collisions

doi: 10.1016/j.nuclphysa.2018.09.014
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2019WU11      Phys. Rev. Res. 1, 033058 (2019)

H.-Z.Wu, L.-G.Pang, X.-G.Huang, Q.Wang

Local spin polarization in high energy heavy ion collisions

doi: 10.1103/PhysRevResearch.1.033058
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2018PA23      Phys.Rev. C 97, 064918 (2018)

L.-G.Pang, H.Petersen, X.-N.Wang

Pseudorapidity distribution and decorrelation of anisotropic flow within the open-computing-language implementation CLVisc hydrodynamics

doi: 10.1103/PhysRevC.97.064918
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2018WU07      Phys.Rev. C 98, 024913 (2018)

X.-Y.Wu, L.-G.Pang, G.-Y.Qin, X.-N.Wang

Longitudinal fluctuations and decorrelations of anisotropic flows at energies available at the CERN Large Hadron Collider and at the BNL Relativistic Heavy Ion Collider

doi: 10.1103/PhysRevC.98.024913
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2017CH41      Nucl.Phys. A967, 488 (2017)

W.Chen, S.Cao, T.Luo, L.Pang, X.-N.Wang

Jet-induced medium excitation in γ-hadron correlation at RHIC

NUCLEAR REACTIONS 1H(p, x), E=200 GeV;197Au(197Au, x), E at √ sNN=200 GeV/nucleon; calculated γ-triggered fragmentation functions, azimuthal angular correlations using CoLBT-hydro (Coupled Line d hydro) model developed by the authors. Compared to data.

doi: 10.1016/j.nuclphysa.2017.05.005
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2017LI31      Nucl.Phys. A967, 772 (2017)

H.Li, H.Petersen, L.-G.Pang, Q.Wang, X.-L.Xia, X.-N.Wang

Local and global Λ polarization in a vortical fluid

doi: 10.1016/j.nuclphysa.2017.04.008
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2017LI40      Phys.Rev. C 96, 054908 (2017)

H.Li, L.-G.Pang, Q.Wang, X.-L.Xia

Global Λ polarization in heavy-ion collisions from a transport model

doi: 10.1103/PhysRevC.96.054908
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2016CH40      Nucl.Phys. A956, 605 (2016)

W.Chen, L.-G.Pang, H.Stoecker, T.Luo, E.Wang, X.-N.Wang

Jet-induced medium excitation in heavy-ion collisions

doi: 10.1016/j.nuclphysa.2016.03.050
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2016FA08      Phys.Rev. C 94, 024904 (2016)

R.-h.Fang, L.-g.Pang, Q.Wang, X.-n.Wang

Polarization of massive fermions in a vortical fluid

doi: 10.1103/PhysRevC.94.024904
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2016PA14      Phys.Rev. C 93, 044919 (2016)

L.-G.Pang, G.Endrodi, H.Petersen

Magnetic-field-induced squeezing effect at energies available at the BNL Relativistic Heavy Ion Collider and at the CERN Large Hadron Collider

NUCLEAR REACTIONS 197Au(d, X), (197Au, X), E(cm)=200 GeV/nucleon; 208Pb(d, X), (208Pb, X), E(cm)=2.76 TeV/nucleon; calculated magnetic-field-induced squeezing effect at energies available at BNL-RHIC and CERN-LHC. Simulation of (3+1)-dimensional ideal hydrodynamics with external magnetic fields. Comparison with experimental data.

doi: 10.1103/PhysRevC.93.044919
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2016PA16      Eur.Phys.J. A 52, 97 (2016)

L.-G.Pang, H.Petersen, G.-Y.Qin, V.Roy, X.-N.Wang

Decorrelation of anisotropic flow along the longitudinal direction

doi: 10.1140/epja/i2016-16097-x
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2016PA34      Nucl.Phys. A956, 272 (2016)

L.-G.Pang, H.Petersen, G.-Y.Qin, V.Roy, X.-N.Wang

Longitudinal fluctuations and decorrelation of anisotropic flow

doi: 10.1016/j.nuclphysa.2016.02.049
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2016PA42      Phys.Rev.Lett. 117, 192301 (2016)

L.-g.Pang, H.Petersen, Q.Wang, X.-N.Wang

Vortical Fluid and Λ Spin Correlations in High-Energy Heavy-Ion Collisions

doi: 10.1103/PhysRevLett.117.192301
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2016WE14      Phys.Rev. C 94, 054905 (2016)

J.Weil, V.Steinberg, J.Staudenmaier, L.G.Pang, D.Oliinychenko, J.Mohs, M.Kretz, T.Kehrenberg, A.Goldschmidt, B.Bauchle, J.Auvinen, M.Attems, H.Petersen

Particle production and equilibrium properties within a new hadron transport approach for heavy-ion collisions

doi: 10.1103/PhysRevC.94.054905
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2015PA18      Phys.Rev. C 91, 044904 (2015)

L.-G.Pang, G.-Y.Qin, V.Roy, X.-N.Wang, G.-L.Ma

Longitudinal decorrelation of anisotropic flows in heavy-ion collisions at the CERN Large Hadron Collider

doi: 10.1103/PhysRevC.91.044904
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2014PA28      Phys.Rev. C 89, 064910 (2014)

L.Pang, Q.Wang, X.-N.Wang

Relics of minijets amid anisotropic flows in high-energy heavy-ion collisions

doi: 10.1103/PhysRevC.89.064910
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2014XU06      Phys.Rev. C 89, 064902 (2014)

H.-j.Xu, Q.Wang, L.Pang

Elliptic flow of thermal dileptons in event-by-event hydrodynamic simulation

doi: 10.1103/PhysRevC.89.064902
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2013PA16      Nucl.Phys. A904-905, 811c (2013)

L.Pang, Q.Wang, X.-N.Wang

Effect of longitudinal fluctuation in event-by-event (3+1)D hydrodynamics

doi: 10.1016/j.nuclphysa.2013.02.140
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2012PA24      Phys.Rev. C 86, 024911 (2012)

L.g.Pang, Q.Wang, X.-N.Wang

Effects of initial flow velocity fluctuation in event-by-event (3+1)D hydrodynamics

doi: 10.1103/PhysRevC.86.024911
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2010PA05      Phys.Rev. C 81, 031903 (2010)

L.-g.Pang, Q.Wang, X.-N.Wang, R.Xu

Minijet thermalization and diffusion of transverse momentum correlation in high-energy heavy-ion collisions

doi: 10.1103/PhysRevC.81.031903
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Note: The following list of authors and aliases matches the search parameter L.G.Pang: , L.G.PANG