Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU)
We are developing a software for energy loss simulation which is affected by jets in the nuclear matter described by relativistic hydrodynamics. Our program uses a Cartesian coordinate system in order to provide high spatial resolution for the analysis of jets propagation in nuclear matter. In this...
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doaj-60333aece422436d9ce9888ec9f396c32020-11-25T00:49:18ZengMDPI AGProceedings2504-39002019-04-011012710.3390/proceedings2019010027proceedings2019010027Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU)Marcin Słodkowski0Patryk Gawryszewski1Patryk Marcinkowski2Dominik Setniewski3Joanna Porter-Sobieraj4Faculty of Physics, Warsaw University of Technology, 75, Koszykowa str., 00-662 Warsaw, PolandFaculty of Physics, Warsaw University of Technology, 75, Koszykowa str., 00-662 Warsaw, PolandFaculty of Physics, Warsaw University of Technology, 75, Koszykowa str., 00-662 Warsaw, PolandFaculty of Physics, Warsaw University of Technology, 75, Koszykowa str., 00-662 Warsaw, PolandFaculty of Mathematics and Information Science, Warsaw University of Technology, 75, Koszykowa str., 00-662 Warsaw, PolandWe are developing a software for energy loss simulation which is affected by jets in the nuclear matter described by relativistic hydrodynamics. Our program uses a Cartesian coordinate system in order to provide high spatial resolution for the analysis of jets propagation in nuclear matter. In this work, we use 7th order WENO numerical algorithm which is resistant to numerical oscillations and diffusions. For simulating energy losses in the bulk nuclear medium, we develop efficient hydrodynamic simulation program for parallel computing using Graphics Processing Unit (GPU) and Compute Unified Device Architecture (CUDA). It allows us to prepare event-by-event simulations in high computing precision in order to study jet modifications in the medium and event-by-event simulations of fluctuating initial conditions. In our simulation, we start the hydrodynamic simulation from generation initial condition based on the UrQMD model in order to simulate comparable nucleus-nucleus interaction in the RHIC and LHC energies. The main part of this simulation is the computation of hydrodynamic system evolution. We present obtained energy density distributions which can be compared to experimental results.https://www.mdpi.com/2504-3900/10/1/27heavy ion collisionsrelativistic hydrodynamicsimulations of energy loses in mediumnumerical algorithmsWENOparallel computingCUDA/GPU |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marcin Słodkowski Patryk Gawryszewski Patryk Marcinkowski Dominik Setniewski Joanna Porter-Sobieraj |
spellingShingle |
Marcin Słodkowski Patryk Gawryszewski Patryk Marcinkowski Dominik Setniewski Joanna Porter-Sobieraj Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU) Proceedings heavy ion collisions relativistic hydrodynamic simulations of energy loses in medium numerical algorithms WENO parallel computing CUDA/GPU |
author_facet |
Marcin Słodkowski Patryk Gawryszewski Patryk Marcinkowski Dominik Setniewski Joanna Porter-Sobieraj |
author_sort |
Marcin Słodkowski |
title |
Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU) |
title_short |
Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU) |
title_full |
Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU) |
title_fullStr |
Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU) |
title_full_unstemmed |
Simulations of Energy Losses in the Bulk Nuclear Medium Using Hydrodynamics on the Graphics Cards (GPU) |
title_sort |
simulations of energy losses in the bulk nuclear medium using hydrodynamics on the graphics cards (gpu) |
publisher |
MDPI AG |
series |
Proceedings |
issn |
2504-3900 |
publishDate |
2019-04-01 |
description |
We are developing a software for energy loss simulation which is affected by jets in the nuclear matter described by relativistic hydrodynamics. Our program uses a Cartesian coordinate system in order to provide high spatial resolution for the analysis of jets propagation in nuclear matter. In this work, we use 7th order WENO numerical algorithm which is resistant to numerical oscillations and diffusions. For simulating energy losses in the bulk nuclear medium, we develop efficient hydrodynamic simulation program for parallel computing using Graphics Processing Unit (GPU) and Compute Unified Device Architecture (CUDA). It allows us to prepare event-by-event simulations in high computing precision in order to study jet modifications in the medium and event-by-event simulations of fluctuating initial conditions. In our simulation, we start the hydrodynamic simulation from generation initial condition based on the UrQMD model in order to simulate comparable nucleus-nucleus interaction in the RHIC and LHC energies. The main part of this simulation is the computation of hydrodynamic system evolution. We present obtained energy density distributions which can be compared to experimental results. |
topic |
heavy ion collisions relativistic hydrodynamic simulations of energy loses in medium numerical algorithms WENO parallel computing CUDA/GPU |
url |
https://www.mdpi.com/2504-3900/10/1/27 |
work_keys_str_mv |
AT marcinsłodkowski simulationsofenergylossesinthebulknuclearmediumusinghydrodynamicsonthegraphicscardsgpu AT patrykgawryszewski simulationsofenergylossesinthebulknuclearmediumusinghydrodynamicsonthegraphicscardsgpu AT patrykmarcinkowski simulationsofenergylossesinthebulknuclearmediumusinghydrodynamicsonthegraphicscardsgpu AT dominiksetniewski simulationsofenergylossesinthebulknuclearmediumusinghydrodynamicsonthegraphicscardsgpu AT joannaportersobieraj simulationsofenergylossesinthebulknuclearmediumusinghydrodynamicsonthegraphicscardsgpu |
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