1 citations · 1 across the 3 of their papers we have counts for
3 papers
The stability of deep learning for 21cm foreground removal across various sky models and frequency-dependent systematics
T. Chen, M. Bianco, E. Tolley +3
Deep learning (DL) has recently been proposed as a novel approach for 21cm foreground removal. Before applying DL to real observations, it is essential to assess its consistency wi…
Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample
Enrique Paillas, Carolina Cuesta-Lazaro, Will J. Percival +13
We present a clustering analysis of the BOSS DR12 CMASS galaxy sample, combining measurements of the galaxy two-point correlation function and density-split clustering down to a sc…
SUNBIRD: A simulation-based model for full-shape density-split clustering
Carolina Cuesta-Lazaro, Enrique Paillas, Sihan Yuan +13
Combining galaxy clustering information from regions of different environmental densities can help break cosmological parameter degeneracies and access non-Gaussian information fro…