Commission B3 Astroinformatics and Astrostatistics

 

News

  • If you have been wanting to stay up to date on the happenings in the astrostatistics community, or to learn more about astrostatistics, I have good news for you...our first issue of Astrostatistics News came out today!  Astrostatistics News (AN) is a newsletter designed to inform, promote, cultivate, and inspire the astrostatistics community.  AN serves the astrostatistics community by highlighting and describing recent research developments in astrostatistics at an accessible level to the diverse backgrounds of its members, sharing interesting new algorithms, software, or data sets, promoting relevant events, and striving to inspire new researchers to join in the fun.  We anticipate 2 - 3 issues per year, with the potential for more.

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Francisco Villaescusa-Navarro (Simons Foundation, NY)

Simulation based inference for cosmology

 

Abstract: In this talk I will discuss the importance of performing parameter inference in cosmology together with the problems associated with such a task. I will then motivate the usage of deep learning to surpass the problems associated with traditional inference methods. Methods such as simulation-based inference require the usage of very large datasets to properly train the models and capture the full distribution. I will then present the simulations of the CAMELS project, the largest set of state-of-the-art cosmological hydrodynamic simulations run to-date. Next, I will show some examples of how these methods allow us to extract cosmological and astrophysical information from very small scales at the field-level without knowing the likelihood of the data. I will then discuss how these methods may open a new window that will allow us to study cosmology and astrophysics in a unified and more accurate way.

 

 

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