10 citations · 18 across the 5 of their papers we have counts for
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astro-ph.CO2023★ 4 cited
Non-Linearity-Free prediction of the growth-rate using Convolutional Neural Networks
Koya Murakami, Indira Ocampo, Savvas Nesseris +2
The growth-rate of the large-scale structure of the Universe is an important dynamic probe of gravity that can be used to test for deviations from General Relativity. How…
astro-ph.CO2023★ 1 cited
Impact of astrophysical effects on the dark matter mass constraint with 21cm intensity mapping
Koya Murakami, Atsushi J. Nishizawa, Kentaro Nagamine +1
We present an innovative approach to constraining the non-cold dark matter model using a convolutional neural network (CNN). We perform a suite of hydrodynamic simulations with var…