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IAU Symposium 362, “The predictive power of computational astrophysics as a discovery tool”

Thursday, 30 January, 11:01, moisav.livejournal.com
Коллеги просят распространить информацию о МАСовсом симпозиуме по вычастрофизике  в Шамони:

IAU Symposium 362, “The predictive power of computational astrophysics as a discovery tool”, which will be held in Chamonix, France, June 8-13 2020. Early registration will be closed on February 16th.

Website: http://iaus362.astro.unistra.fr/IAUS362.html

Important Dates:
- Early registration deadline: February 16, 2020
- Abstract submission deadline: April 1, 2020
- Registration deadline: May 1, 2020

The Symposium will focus on computational methods applied to speed up and broaden the scope of scientific studies, such as finding trends from observational data, high performance computing, automated search algorithms, and model predictability. The meeting will bring together experts to discuss a palette of challenging informational and technical developments, including hardware and software but always focused on astronomical applications. Special attention will be given to numerical integration schemes and emergent behavior (e.g., Artificial Intelligence methods). These topics are rather novel for astronomy and will likely play a major role for handling large data sets and complex analysis pipelines.

Key topics and Invited speakers:
- Strong gravity: accretion disks, jets, BH- & NS-binaries, gravitational waves: Rainer Weiss, Feng Yuan, Stephan Rosswog, Masaru Shibata
- Large-scale structure, galaxy formation & evolution: Mark Vogelsberger, Annalisa Pillepich, Tom Abel, Kathryn Johnston
- Star formation and the interstellar medium: Ralf Klessen, Volker Bromm, Patrick Hennebelle, Lisa Kewley
- Stellar evolution including supernova and common-envelope binaries: Ana Ines Gomez de Castro, Thomas Janka, Corinne Charbonnel, Tomoya Takiwaki, Natasha Ivanova
- Solar and exoplanetary systems: Alexander Kosovichev, Alessandro Morbidelli, Nick Pogorelov, Alain Lecavelier des Etang
- New computational tools and data mining: Anthony Mezzacappa, Sergey Klimenko, Anthony Brown, Russ Taylor
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