Computational Astrophysics and Cosmology Simulations, Data Analysis and Algorithms /
Computational astrophysics opens new windows in the way we perceive and study the heavens. This rapidly growing new discipline in astronomy combines modern computational methods, novel hardware design, advanced algorithms for both simulations and data analysis, original software implementations and...
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| Format: | Electronic Journal |
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Springer International Publishing : Imprint: Springer.
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| Online Access: | Open Access |
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| 001 | 2197-7909 | ||
| 003 | DE-He213 | ||
| 005 | 20180511105617.0 | ||
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| 022 | |a 2197-7909 | ||
| 024 | 7 | |a 40668 |2 local | |
| 210 | 1 | 0 | |a Comput. Astrophys. |
| 245 | 1 | 0 | |a Computational Astrophysics and Cosmology |h [electronic resource] : |b Simulations, Data Analysis and Algorithms / |c edited by Simon Portegies Zwart. |
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer. | |
| 300 | |b online resource. | ||
| 520 | |a Computational astrophysics opens new windows in the way we perceive and study the heavens. This rapidly growing new discipline in astronomy combines modern computational methods, novel hardware design, advanced algorithms for both simulations and data analysis, original software implementations and associated technologies to discover new phenomena, and to make predictions in astronomy, cosmology and planetary sciences. In the journal Computational Astrophysics and Cosmology (CompAC) we unify two distinct groups of disciplines: Astronomy, planetary sciences, physics and cosmology Computational and information science The combination of these disciplines leads to a wide range of topics which, from an astronomical point of view, cover all scales and a rich palette of statistics, physics and chemistry. Computing is interpreted in the broadest sense and may include hardware, algorithms, software, networking, reduction and management of big data resulting from large telescopes and surveys, modeling, simulation, visualization, high-performance computing, data intensive computing and machine learning. CompAC publishes novel full-length research articles, letters-to-the editor, comprehensive reviews, and concise manuals describing best practices in scientific computing and software reports. Articles submitted to CompAC should be transparent and include all technical details for reproducibility of computational results, as well as information where benchmarks of the codes used may be found. Besides providing detailed information on simulations in the main part of simulation papers, authors will be motivated to attach an appendix to their article providing relevant information on the source code used for the research described in the manuscript. | ||
| 650 | 0 | |a Physics. | |
| 650 | 0 | |a Numerical analysis. | |
| 650 | 0 | |a Computer mathematics. | |
| 650 | 0 | |a Astronomy. | |
| 650 | 0 | |a Astrophysics. | |
| 650 | 0 | |a Cosmology. | |
| 650 | 1 | 4 | |a Physics. |
| 650 | 2 | 4 | |a Astronomy, Astrophysics and Cosmology. |
| 650 | 2 | 4 | |a Computational Mathematics and Numerical Analysis. |
| 650 | 2 | 4 | |a Numeric Computing. |
| 700 | 1 | |a Portegies Zwart, Simon. |e editor. | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 856 | 4 | 0 | |u http://link.springer.com/journal/40668 |z Open Access |
| 950 | |b Physics and Astronomy | ||
| 999 | |c 189587 |d 189587 | ||