11 citations · 11 across the 1 of their papers we have counts for
3 papers
astro-ph.CO2022
The Dark Energy Survey Year 3 high redshift sample: Selection, characterization and analysis of galaxy clustering
C. Sánchez, A. Alarcon, G. M. Bernstein +97
The fiducial cosmological analyses of imaging galaxy surveys like the Dark Energy Survey (DES) typically probe the Universe at redshifts . This is mainly because of the limi…
astro-ph.EP2022
Photometric Properties of Jupiter Trojans detected by the Dark Energy Survey
DES Collobration, :, Jiaming Pan +55
The Jupiter Trojans are a large group of asteroids that are co-orbiting with Jupiter near its L4 and L5 Lagrange points. The study of Jupiter Trojans is crucial for testing differe…
astro-ph.GA2022★ 11 cited
Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks
Ting-Yun Cheng, H. Domínguez Sánchez, J. Vega-Ferrero +54
We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised…