Next Article in Journal
GPGPU Task Scheduling Technique for Reducing the Performance Deviation of Multiple GPGPU Tasks in RPC-Based GPU Virtualization Environments
Previous Article in Journal
Anomalous Diffusion with an Apparently Negative Diffusion Coefficient in a One-Dimensional Quantum Molecular Chain Model
Previous Article in Special Issue
Similarities in Multiparticle Production Processes in pp Collisions as Imprints of Nonextensive Statistics
 
 
Article

Modeling the Dynamics of Heavy-Ion Collisions with a Hydrodynamic Model Using a Graphics Processor

1
Faculty of Physics, Warsaw University of Technology, 00-662 Warsaw, Poland
2
Faculty of Mathematics and Information Science, Warsaw University of Technology, 00-662 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Academic Editor: Toshio Tagawa
Symmetry 2021, 13(3), 507; https://doi.org/10.3390/sym13030507
Received: 29 January 2021 / Revised: 16 March 2021 / Accepted: 16 March 2021 / Published: 20 March 2021
(This article belongs to the Special Issue High Energy Particle Physics and Relativistic Hydrodynamics)
Dense bulk matter is formed during heavy-ion collision and expands towards a vacuum. It behaves as a perfect fluid, described by relativistic hydrodynamics. In order to study initial condition fluctuation and properties of jet propagation in dense hot matter, we assume a Cartesian laboratory frame with several million cells in a stencil with high-accuracy data volume grids. Employing numerical algorithms to solve hydrodynamic equations in such an assumption requires a lot of computing power. Hydrodynamic simulations of nucleus + nucleus interactions in the range of energies of the Large Hadron Collider (LHC) are carried out using our program, which uses Graphics Processing Units (GPUs) and Compute Unified Device Architecture (CUDA). In this work, we focused on transforming hydrodynamic quantities into kinetic descriptions. We implemented the hypersurface freeze-out conditions using marching cubes techniques. We developed freeze-out procedures to obtain the momentum distributions of particles on the hypersurface. The final particle distributions, elliptic flow, and higher harmonics are comparable to the experimental LHC data. View Full-Text
Keywords: relativistic hydrodynamic; simulation of heavy ion collisions; quark-gluon plasma; high energy nuclear physics; CUDA/GPU; marching cubes; hypersurface; freeze-out; collective flow; elliptic flow relativistic hydrodynamic; simulation of heavy ion collisions; quark-gluon plasma; high energy nuclear physics; CUDA/GPU; marching cubes; hypersurface; freeze-out; collective flow; elliptic flow
Show Figures

Figure 1

MDPI and ACS Style

Słodkowski, M.; Setniewski, D.; Aszklar, P.; Porter-Sobieraj, J. Modeling the Dynamics of Heavy-Ion Collisions with a Hydrodynamic Model Using a Graphics Processor. Symmetry 2021, 13, 507. https://doi.org/10.3390/sym13030507

AMA Style

Słodkowski M, Setniewski D, Aszklar P, Porter-Sobieraj J. Modeling the Dynamics of Heavy-Ion Collisions with a Hydrodynamic Model Using a Graphics Processor. Symmetry. 2021; 13(3):507. https://doi.org/10.3390/sym13030507

Chicago/Turabian Style

Słodkowski, Marcin, Dominik Setniewski, Paweł Aszklar, and Joanna Porter-Sobieraj. 2021. "Modeling the Dynamics of Heavy-Ion Collisions with a Hydrodynamic Model Using a Graphics Processor" Symmetry 13, no. 3: 507. https://doi.org/10.3390/sym13030507

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop