Properties of Full Jet in High-Energy Heavy-Ion Collisions from Parton Scatterings
文献类型：期刊论文
| 作者 | Ma, GL; Nie, MW |
| 刊名 | ADVANCES IN HIGH ENERGY PHYSICS
 |
| 出版日期 | 2015 |
| 页码 | — |
| 关键词 | ROOT-S(NN)=2.76 TEV PARTICLE-PRODUCTION PB COLLISIONS COLLABORATION MATTER LHC A+A PP |
| 英文摘要 | The properties of fully reconstructed jet are investigated in p + p and Pb + Pb collisions at root(S)(NN) = 2.76 TeV within a multiphase transport (AMPT) model with both partonic scatterings and hadronic rescatterings. Alarge transverse momentum (P-T) asymmetry of dijet or photon-jet arises from the strong interactions between jet and partonic matter. The xi-dependent jet fragmentation function in Pb + Pb collisions is decomposed into two contributions from different jet hadronization mechanisms, that is, fragmentation versus coalescence. The medium modification of differential jet shape displays that the jet energy is redistributed towards a larger radius owing to jet-medium interactions in heavy-ion collisions. Jet triangular azimuthal anisotropy coefficient, V-3(jet), which shows a smaller magnitude than the elliptic coefficient V-2(jet), decreases more quickly with increasing jet P-T, which can be attributed to a path-length effect of jet energy loss. All of these properties of full jet are consistent with the jet energy lossmechanism in a stronglyinteracting partonic matter in high-energy heavy-ion collisions. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.sinap.ac.cn/handle/331007/24547]  |
| 专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
| 推荐引用方式 GB/T 7714 | Ma, GL,Nie, MW. Properties of Full Jet in High-Energy Heavy-Ion Collisions from Parton Scatterings[J]. ADVANCES IN HIGH ENERGY PHYSICS,2015:—. |
| APA | Ma, GL,&Nie, MW.(2015).Properties of Full Jet in High-Energy Heavy-Ion Collisions from Parton Scatterings.ADVANCES IN HIGH ENERGY PHYSICS,—. |
| MLA | Ma, GL,et al."Properties of Full Jet in High-Energy Heavy-Ion Collisions from Parton Scatterings".ADVANCES IN HIGH ENERGY PHYSICS (2015):—. |
入库方式： OAI收割
来源：上海应用物理研究所
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