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Title: Computational Astrophysics Consortium, University of Minnesota, Final Report

Abstract

During its six year duration the Computational Astrophysics consortium helped to train the next generation of scientists in computational and nuclear astrophysics. A total of five graduate students were supported by the grant at UMN. The major advances at UMN were in the use, testing, and contribution to development of the CASTRO that efficiently scales on over 100,000 CPUs. At UMN it was used for modeling of thermonuclear supernovae (pair instability and supermassive stars) and core-collapse supernovae as well as the final phases of their progenitors, as well as for x-ray bursts from accreting neutron stars. Important secondary advances in the field of nuclear astrophysics included a better understanding of the evolution of massive stars and the origin of the elements. The research resulted in more than 50 publications.

Authors:
 [1]
  1. Univ. of Minnesota, Minneapolis, MN (United States)
Publication Date:
Research Org.:
Univ. of Minnesota, Minneapolis, MN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1176759
Report Number(s):
FInal Report DOE-UMN-2300
DOE Contract Number:  
SC0002300
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Nucleosynthesis, Supernovae, Massive stars

Citation Formats

Heger, Alexander. Computational Astrophysics Consortium, University of Minnesota, Final Report. United States: N. p., 2015. Web.
Heger, Alexander. Computational Astrophysics Consortium, University of Minnesota, Final Report. United States.
Heger, Alexander. Thu . "Computational Astrophysics Consortium, University of Minnesota, Final Report". United States. doi:.
@article{osti_1176759,
title = {Computational Astrophysics Consortium, University of Minnesota, Final Report},
author = {Heger, Alexander},
abstractNote = {During its six year duration the Computational Astrophysics consortium helped to train the next generation of scientists in computational and nuclear astrophysics. A total of five graduate students were supported by the grant at UMN. The major advances at UMN were in the use, testing, and contribution to development of the CASTRO that efficiently scales on over 100,000 CPUs. At UMN it was used for modeling of thermonuclear supernovae (pair instability and supermassive stars) and core-collapse supernovae as well as the final phases of their progenitors, as well as for x-ray bursts from accreting neutron stars. Important secondary advances in the field of nuclear astrophysics included a better understanding of the evolution of massive stars and the origin of the elements. The research resulted in more than 50 publications.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Mar 26 00:00:00 EDT 2015},
month = {Thu Mar 26 00:00:00 EDT 2015}
}

Technical Report:
Other availability
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