Resolving the RAA to vn puzzle

Jacquelyn Noronha-Hostler

doi:10.1016/j.nuclphysbps.2017.05.013

Resolving the R_AA to v_n puzzle

Research output: Contribution to journal › Article › peer-review

Abstract

After 10 years of struggling to simultaneously describe the nuclear modification factor R_AA and flow harmonics v_n's at high p_T, now theoretical models are able to reproduce experimental data well. The necessary theoretical developments such as event-by-event fluctuations, choice of initial conditions, and the scalar product method to calculate flow harmonics at high p_T are reviewed. Additionally, a discussion of new proposed experimental observables known as Soft Hard Event Engineering (SHEE) that are sensitive to the path length dependence of the energy loss is included.

Original language	English (US)
Pages (from-to)	65-70
Number of pages	6
Journal	Nuclear and Particle Physics Proceedings
Volume	289-290
DOIs	https://doi.org/10.1016/j.nuclphysbps.2017.05.013
State	Published - Aug 1 2017
Externally published	Yes

ASJC Scopus subject areas

Nuclear and High Energy Physics

Online availability

10.1016/j.nuclphysbps.2017.05.013

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Cite this

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title = "Resolving the RAA to vn puzzle",

abstract = "After 10 years of struggling to simultaneously describe the nuclear modification factor RAA and flow harmonics vn's at high pT, now theoretical models are able to reproduce experimental data well. The necessary theoretical developments such as event-by-event fluctuations, choice of initial conditions, and the scalar product method to calculate flow harmonics at high pT are reviewed. Additionally, a discussion of new proposed experimental observables known as Soft Hard Event Engineering (SHEE) that are sensitive to the path length dependence of the energy loss is included.",

author = "Jacquelyn Noronha-Hostler",

note = "Funding Information: J.N.H would like to Milos Gyulassy, Barbara Betz, Jorge Noronha and Matthew Luzum for collaborations on this topic. J.N.H. was supported by the National Science Foundation under grant no. PHY-1513864 and acknowledges the use of the Maxwell Cluster and the advanced support from the Center of Advanced Computing and Data Systems at the University of Houston to carry out the research presented here. Publisher Copyright: {\textcopyright} 2017 Elsevier B.V.",

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