Cosmology from Galaxy Redshift Surveys with PointNet. (arXiv:2211.12346v1 [astro-ph.CO])

In recent years, deep learning approaches have achieved state-of-the-art
results in the analysis of point cloud data. In cosmology, galaxy redshift
surveys resemble such a permutation invariant collection of positions in space.
These surveys have so far mostly been analysed with two-point statistics, such
as power spectra and correlation functions. The usage of these summary
statistics is best justified on large scales, where the density field is linear
and Gaussian. However, in light of the increased precision expected from
upcoming …

arxiv astro cosmology redshift surveys