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Romania
Citizenship:
Ph.D. degree award:
Ciprian Mihai
Mitu
PhD
Researcher
-
INSTITUTUL DE STIINTE SPATIALE-FILIALA INFLPR
Other affiliations
Young Researcher, between 2003-2005
-
Joint Institute for Nuclear Research Dubna Russia
(
Russian Federation
)
visiting researcher at ALICE experiment between 2006-2019
-
C.E.R.N.
(
Switzerland
)
Researcher
19
years
Web of Science ResearcherID:
E-6733-2011
Personal public profile link.
Curriculum Vitae (19/01/2020)
Expertise & keywords
Monte Carlo Simulation Particle Physics High Energy Physics Experimental Particle Physics Statistical Physics Physics Simulation High Energy Physics - Phenomenology Quantum Chromodynamics Heavy Ion Physics
data treatment,contact angle measurements. S.E.M. image analysis-nano particle statistics, Raman spectroscopy analysis
Educational software
Projects
Publications & Patents
Entrepreneurship
Reviewer section
Study of the Anisotropic Flow in Relativistics Heavy Ion Physics using Graphics Processing Unit
Call name:
Projects for Young Research Teams - TE-2011 call
PN-II-RU-TE-2011-3-0279
2011
-
2014
Role in this project:
Coordinating institution:
Institutul de Stiinte Spatiale - Filiala INFLPR
Project partners:
Institutul de Stiinte Spatiale - Filiala INFLPR (RO)
Affiliation:
Institutul de Stiinte Spatiale - Filiala INFLPR (RO)
Project website:
http://www2.spacescience.ro/projects/snow-gpu/
Abstract:
Interactions between heavy ions at ultra-relativistic energies offer the possibility to explore the phase transition from hadronic matter to quark gluon plasma. This new state of matter was created in the first microseconds after Big Bang. One of the most successful descriptions of QGP formation was made using hydrodynamic models building a Equation of State for the nuclear environment. Experimental evidence for this model came from the study of anisotropic flow of the participant region in nucleus-nucleus collisions. Anisotropic flow arises from the geometry of interaction from which an almond like shape of the fireball results. One of the main challenges in Heavy Ion Physics is to make fast analysis of high amount of experimental and simulated data. The time taken to analyze the data and obtain fast results depends on high computational power. The classical approach is to build expensive clusters with large numbers of processors in order to reduce the time needed to analyze the data. The main advantage of using GPU programming over traditional CPU one is that graphical cards bring a lot of computing power at a very low price. Today a huge number of application begun to be ported or developed for GPU usage, including Monte Carlo tools or data analysis tools for High Energy Physics. In this project we aim to study the behavior of anisotropic flow in nucleus-nucleus interactions from different experimental data with the help of new tools developed using GPU programming.
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FILE DESCRIPTION
DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects
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