Jean-François Paquet
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Postdoctoral Researcher
Department of Physics
Duke University
Durham, NC

Previous position:
Postdoctoral Researcher
Department of Physics & Astronomy
Stony Brook University
Stony Brook, NY

Master's and PhD in Physics
Under the supervision of Prof. Charles Gale
McGill University, Montréal

Bachelor's degree in Physics
Université de Sherbrooke, Sherbrooke

A complete list of my publications is available on INSPIRE [ INSPIRE profile ], with links to the published versions and the (free) arXiv versions. Google Scholar is also eerily good at finding my work.

For a general summary of my outlook on hydrodynamic modelling of heavy ion collisions and electromagnetic probes, see arXiv:1704.07842

In the summer of 2018, I wrote a manual for the heavy ion hydrodynamic simulation code MUSIC as support material for lectures I gave at a workshop at the University of São Paulo. Since then, a new official version of MUSIC has been published. As of winter 2021, I am half-done updating the manual for the new version: here. The older version of MUSIC is still usable, of course; its manual remains available here. While it is MUSIC-oriented, the manual should provide a good overview of the physics behind hydrodynamic simulations of heavy ion collisions in general.

Physics software:
Mathematica codes to compute the rate of photon production and the rate of radiative parton energy loss at leading order in AMY kinetic theory
MUSIC: a relativistic viscous hydrodynamics code for heavy ion collisions [Sourceforge project - Git repository - Manual ]
KøMPøST: a kinetic theory propagator for the early stage of heavy ion collisions
My GitHub

I am currently co-convener of the "Simulations and Distributed Computing Working Group" (SIMS-WG) within the multi-institution NSF-funded JETSCAPE Collaboration. You can see some of our work here:

We also made an online "widget" to allow the community to see the effect of various physical and model parameters on measurable properties of low energy hadrons produced in heavy ion collisions. You can see the result here: The source code is available here.