1.3k citations · 29.2k across the 324 of their papers we have counts for
25 papers · 1 filter
Dimensional reduction for sampled priors and application to photometric redshift distributions
Gary Bernstein, William Assignies Doumerg, Michael A. Troxel +35
A typical Bayesian inference on the values of some parameters of interest from some data involves running a Markov Chain (MC) to sample from the posterior $p({\bf q},{\…
The Robotic Multi-Object Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI)
Joseph Harry Silber, Parker Fagrelius, Kevin Fanning +97
A system of 5,020 robotic fiber positioners was installed in 2019 on the Mayall Telescope, at Kitt Peak National Observatory. The robots automatically re-target their optical fiber…
The Dark Energy Survey Data Release 2
DES Collaboration, T. M. C. Abbott, M. Adamow +132
We present the second public data release of the Dark Energy Survey, DES DR2, based on optical/near-infrared imaging by the Dark Energy Camera mounted on the 4-m Blanco telescope a…
Dark Energy Survey Year 3 Results: Point-Spread Function Modeling
M. Jarvis, G. M. Bernstein, A. Amon +79
We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years…
Reducing ground-based astrometric errors with Gaia and Gaussian processes
W. F. Fortino, G. M. Bernstein, P. H. Bernardinelli +64
Stochastic field distortions caused by atmospheric turbulence are a fundamental limitation to the astrometric accuracy of ground-based imaging. This distortion field is measurable…
Noise from Undetected Sources in Dark Energy Survey Images
K. Eckert, G. M. Bernstein, A. Amara +66
For ground-based optical imaging with current CCD technology, the Poisson fluctuations in source and sky background photon arrivals dominate the noise budget and are readily estima…