Turbulência em cosmologia: análise de dados simulados e observacionais usando computação de alto desempenho / Turbulence in cosmology: analysis of simulated and observational data using high performance computing

AUTOR(ES)
FONTE

IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia

DATA DE PUBLICAÇÃO

26/05/2011

RESUMO

Recent results from the study of the Large-Scale Structure evolution suggest that the process of structure formation may have similarities with the dynamics of a turbulent fluid. The scaling law for the energy distribution in a turbulent fluid shows an inertial range of power -5/3, known as the Kolmogorov s law. This thesis presents an evaluation of the gravitational potential energy spectrum in order to verify if its scaling law follows the same power as Kolmogorov s law. For this analysis, we used galaxy dark matter halos in different redshifts, from Virgo Consortium s Nbody simulations, as well as galaxy observational data, from the Sloan Digital Sky Survey (SDSS) database. We found that, for the galaxy dark matter halos, the spectrum follows closely the Kolmogorov s power law in the range 0:01 < k <0:07 (from 14 to 100 \textit{h}$^{-1}$ Mpc). The same is seen for the observational data, in a more restrict range from 30 to 70 \textit{h}$^{-1}$ Mpc. This means that the gravitational clustering of dark matter and galaxies may admit a turbulent-like representation. For optimizing the processing, data mining techniques have been investigated and implemented, and also parallel versions of the used algorithms, using the Message Passing Interface (MPI), were developed. The performance of the parallel algorithms was evaluated by speed-up measure and showed good results. To meet the demand of computational resources, we developed libraries and implement a computational grid for Astrophysical applications, used in this thesis for the identication of galaxy dark matter halos (with the parallel version of the Friends-of-Friends algorithm) and gravitational potential energy calculations, both for dierent redshifts.

ASSUNTO(S)

computação em grade turbulence computational cosmology high performance computing grid computing turbulência cosmologia computacional computação de alto desempenho

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