24 citations · 33 across the 7 of their papers we have counts for
3 papers · 1 filter
Preparing for Rubin-LSST -- Detecting Brightest Cluster Galaxies with Machine Learning in the LSST DP0.2 simulation
Aline Chu, Ludvig Doeser, Simon Ding +1
The future Rubin Legacy Survey of Space and Time (LSST) is expected to deliver its first data release in the current of 2025. The upcoming survey will provide us with images of gal…
Learning the Universe: Tests of a Field Level -body Simulation Emulator
Matthew T. Scoggins, Matthew Ho, Francisco Villaescusa-Navarro +3
We apply and test a field-level emulator for non-linear cosmic structure formation in a volume matching next-generation surveys. Inferring the cosmological parameters and initial c…
Learning the Universe: Learning to Optimize Cosmic Initial Conditions with Non-Differentiable Structure Formation Models
Ludvig Doeser, Metin Ata, Jens Jasche
Making the most of next-generation galaxy clustering surveys requires overcoming challenges in complex, non-linear modelling to access the significant amount of information at smal…