The Predictive Power of Computational Astrophysics as a Discovery Tool (IAU S362)

Author: Dmitry Bisikalo, Dimitri Wiebe and Christian Boily Series: Proceedings of the International Astronomical Union Symposia and Colloquia

IAU S362 summarizes developments in computational astrophysics methods, hardware, algorithms, software, and new technologies.

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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Summary

IAU S362 summarizes developments in computational astrophysics methods, hardware, algorithms, software, and new technologies.

Description

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.