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Found 3 papers, 3 papers with code
Local primordial non-Gaussianity from the large-scale clustering of photometric DESI luminous red galaxies
The neural network with a set of nine imaging property maps passes our systematic null test criteria, and is chosen as the fiducial treatment.
Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation
We develop a neural network-based approach to mitigate spurious fluctuations in the density field caused by spatial variations in the quality of the imaging data used to select targets for follow-up spectroscopy.
Improving Galaxy Clustering Measurements with Deep Learning: analysis of the DECaLS DR7 data
Robust measurements of cosmological parameters from galaxy surveys rely on our understanding of systematic effects that impact the observed galaxy density field.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability
