NSR Query Results
Output year order : Descending NSR database version of April 27, 2024. Search: Author = L.G.Pang Found 42 matches. 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
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
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
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
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
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
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
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
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
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
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
2021PA06 Nucl.Phys. A1005, 121972 (2021) Machine learning for high energy heavy ion collisions
doi: 10.1016/j.nuclphysa.2020.121972
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
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
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
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
2020HE21 Phys.Rev.Lett. 125, 122301 (2020) Gradient Tomography of Jet Quenching in Heavy-Ion Collisions
doi: 10.1103/PhysRevLett.125.122301
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
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
2019HE13 Phys.Rev.Lett. 122, 252302 (2019) Bayesian Extraction of Jet Energy Loss Distributions in Heavy-Ion Collisions
doi: 10.1103/PhysRevLett.122.252302
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
2014PA28 Phys.Rev. C 89, 064910 (2014) Relics of minijets amid anisotropic flows in high-energy heavy-ion collisions
doi: 10.1103/PhysRevC.89.064910
2014XU06 Phys.Rev. C 89, 064902 (2014) Elliptic flow of thermal dileptons in event-by-event hydrodynamic simulation
doi: 10.1103/PhysRevC.89.064902
2013PA16 Nucl.Phys. A904-905, 811c (2013) Effect of longitudinal fluctuation in event-by-event (3+1)D hydrodynamics
doi: 10.1016/j.nuclphysa.2013.02.140
2012PA24 Phys.Rev. C 86, 024911 (2012) Effects of initial flow velocity fluctuation in event-by-event (3+1)D hydrodynamics
doi: 10.1103/PhysRevC.86.024911
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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