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Move over neural networks! – A new method for cosmological inference

Move over neural networks! – A new method for cosmological inference

by Jamie Sullivan | Jul 30, 2020 | Daily Paper Summaries

Should neural networks give up trying to model cosmology and stick to sorting cat photos? Find out in todays post!

Combining Power by Combining Probes

Combining Power by Combining Probes

by Jamie Sullivan | May 15, 2020 | Daily Paper Summaries

In which cosmologists come up with yet another way to ignore pesky systematics – aka astrophysics!

Insert Tidal Here: Stretching and Squashing the Universe

Insert Tidal Here: Stretching and Squashing the Universe

by Jamie Sullivan | Mar 24, 2020 | Daily Paper Summaries

Tide goes in, dark matter halos come out, today’s authors can simulate that! With separate universe simulations!

Baryonification – Dark matter N-body simulations and the impact of gas-trophysics

Baryonification – Dark matter N-body simulations and the impact of gas-trophysics

by Jamie Sullivan | Jan 27, 2020 | Daily Paper Summaries

The effects of gas are complicated and challenging to simulate. Today’s paper explores a way to account for gas in cosmological simulations without actually including it!

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