most citedMachine Learning LSST 3x2pt analyses -- forecasting the impact of systematics on cosmological constraints using neural networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.CO2026

Analytical covariances for catalogue-based pseudo-s

Kevin Wolz, Elyas Farah, Robert Reischke +2

Multiple cosmological observables, such as the galaxy overdensity or cosmic shear, consist of fields sampled at the discrete positions of astrophysical sources. Recent work has pre…

astro-ph.CO2024★ 1 cited

Machine Learning LSST 3x2pt analyses -- forecasting the impact of systematics on cosmological constraints using neural networks

Supranta S. Boruah, Tim Eifler, Vivian Miranda +6

Validating modeling choices through simulated analyses and quantifying the impact of different systematic effects will form a major computational bottleneck in the preparation for…