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Science with Very Large Cosmological Simulations

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I will discuss the ASTRID project, which has run a very large cosmological simulation to z=1.3, and now ~50 moderately smaller simulations to z=2. Particle loads range from 55003 to 15363 through 3072^3. ASTRID contains a model for black hole dynamic friction which allows us to study AGN multiplets in more realism than before, as well as models for hydrogen and helium reionization. I will discuss machine learning techniques for upscaling simulations and thus increasing the size of the models we are able to create by another order of magnitude. I will talk about some recent results enabled by ASTRID in the Lyman alpha forest, detecting dim protoclusters using their gas absorption. The newest simulations are a suite for cosmology, which have been used to create an emulator for the Lyman alpha forest flux power spectrum. Together they are able to make predictions, accurate at the percent level, for a wide range of cosmological parameters.

This talk is part of the Galaxies Discussion Group series.

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