most citedPropagating sample variance uncertainties in redshift calibration: simulations, theory and application to the COSMOS2015 data

31 citations · 44 across the 2 of their papers we have counts for

collaborators

5 papers

astro-ph.CO202013 cited

Masses: Weak Lensing Calibration of the Dark Energy Survey Year 1 redMaPPer Clusters using Stellar Masses

M. E. S. Pereira, A. Palmese, T. N. Varga +78

We present the weak lensing mass calibration of the stellar mass based mass proxy for redMaPPer galaxy clusters in the Dark Energy Survey Year 1. For the first time we…

astro-ph.CO202031 cited

Propagating sample variance uncertainties in redshift calibration: simulations, theory and application to the COSMOS2015 data

Carles Sánchez, Marco Raveri, Alex Alarcon +1

Cosmological analyses of galaxy surveys rely on knowledge of the redshift distribution of their galaxy sample. This is usually derived from a spectroscopic and/or many-band photome…

astro-ph.CO2019

Redshift inference from the combination of galaxy colors and clustering in a hierarchical Bayesian model Application to realistic -body simulations

Alex Alarcon, Carles Sánchez, Gary M. Bernstein +1

Photometric galaxy surveys constitute a powerful cosmological probe but rely on the accurate characterization of their redshift distributions using only broadband imaging, and can…

astro-ph.EP2019

Trans-Neptunian objects found in the first four years of the Dark Energy Survey

Pedro H. Bernardinelli, Gary M. Bernstein, Masao Sako +61

We present a catalog of 316 trans-Neptunian bodies detected by the Dark Energy Survey (DES). These objects include 245 discoveries by DES (139 not previously published) detected in…

astro-ph.CO2019

Phenotypic redshifts with self-organizing maps: A novel method to characterize redshift distributions of source galaxies for weak lensing

R. Buchs, C. Davis, D. Gruen +71

Wide-field imaging surveys such as the Dark Energy Survey (DES) rely on coarse measurements of spectral energy distributions in a few filters to estimate the redshift distribution…