The Predictive Power of Computational Astrophysics as a Discovery Tool (IAU S362)
The Predictive Power of Computational Astrophysics as a Discovery Tool (IAU S362)
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Résumé
Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original software implementations, and new technologies, to discover new phenomena and to make predictions in astronomy. IAU S362 summarizes these developments through astronomers in diverse fields sharing their best practice.
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The Predictive Power of Computational Astrophysics as a Discovery Tool (IAU S362) by Dmitry Bisikalo
A new paradigm for scientific discovery through computational tools now permeates every aspect of astronomical research. Computational astrophysics combines modern computational methods, novel hardware designs, advanced algorithms, original software implementations, and associated technologies to discover new phenomena and to make predictions in astronomy. The proceedings of IAU Symposium 362 summarizes ongoing developments in computational astrophysics through astronomers in diverse fields sharing their knowledge and approaches. It focuses on computational methods applied to speed up and broaden the scope of scientific studies, such as finding trends in observational data, high performance computing, automated search algorithms, and model predictability. Experts discuss a palette of challenging informational and technical developments, with the goal of coordinating their efforts and the improvement of techniques in pursuit of a wide range of astronomical studies, including fluid dynamics in star and galaxy evolution, exoplanets, gravitational waves, numerical relativity, data mining, and much more.| SKU | Non disponible |
| ISBN 13 | 9781108490665 |
| ISBN 10 | 1108490662 |
| Titre | The Predictive Power of Computational Astrophysics as a Discovery Tool (IAU S362) |
| Auteur | Dmitry Bisikalo |
| Série | Proceedings Of The International Astronomical Union Symposia And Colloquia |
| État | Non disponible |
| Éditeur | Cambridge University Press |
| Année de publication | 2023-03-09 |
| Nombre de pages | 400 |
| Note de couverture | La photo du livre est présentée à titre d'illustration uniquement. La reliure, la couverture ou l'édition réelle peuvent varier. |
| Note | Non disponible |