56 citations · 200 across the 11 of their papers we have counts for
4 papers · 1 filter
Galaxy bias renormalization group
Henrique Rubira, Fabian Schmidt
The effective field theory of large-scale structure allows for a consistent perturbative bias expansion of the rest-frame galaxy density field. In this work, we present a systemati…
Halo assembly bias from a deep learning model of halo formation
Luisa Lucie-Smith, Alexandre Barreira, Fabian Schmidt
We build a deep learning framework that connects the local formation process of dark matter halos to the halo bias. We train a convolutional neural network (CNN) to predict the fin…
Effective Field Theory of Intrinsic Alignments at One Loop Order: a Comparison to Dark Matter Simulations
Thomas Bakx, Toshiki Kurita, Nora Elisa Chisari +2
We test the regime of validity of the effective field theory (EFT) of intrinsic alignments (IA) at the one-loop level by comparing with 3D halo shape statistics in N-body simulatio…
Cosmology inference at the field level from biased tracers in redshift-space
Julia Stadler, Fabian Schmidt, Martin Reinecke
Cosmology inference of galaxy clustering at the field level with the EFT likelihood in principle allows for extracting all non-Gaussian information from quasi-linear scales, while…