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Deep Spectroscopy with DESI for Photometric Redshift Training and Calibration
Biprateep Dey, Jeffrey A. Newman, Tianqing Zhang +62
Deep spectroscopic samples can be used to improve photometric redshift (photo-) estimates and reduce uncertainties on redshift distributions. Such improvements can increase the…
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 Dark Energy Survey Six-Year Calibration Star Catalog
E. S. Rykoff, D. L. Tucker, D. L. Burke +64
This Technical Note presents a catalog of calibrated reference stars that was generated by the Forward Calibration Method (FGCM) pipeline (arXiv:1706.01542) as part of the FGCM pho…
Overview of the Instrumentation for the Dark Energy Spectroscopic Instrument
B. Abareshi, J. Aguilar, S. Ahlen +264
The Dark Energy Spectroscopic Instrument (DESI) has embarked on an ambitious five-year survey to explore the nature of dark energy with spectroscopy of 40 million galaxies and quas…
The DECam Local Volume Exploration Survey Data Release 2
A. Drlica-Wagner, P. S. Ferguson, M. Adamów +121
We present the second public data release (DR2) from the DECam Local Volume Exploration survey (DELVE). DELVE DR2 combines new DECam observations with archival DECam data from the…
Rubin-Euclid Derived Data Products: Initial Recommendations
Leanne P. Guy, Jean-Charles Cuillandre, Etienne Bachelet +117
This report is the result of a joint discussion between the Rubin and Euclid scientific communities. The work presented in this report was focused on designing and recommending an…
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…
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…
First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release
D. Brout, M. Sako, D. Scolnic +89
We present griz light curves of 251 Type Ia Supernovae (SNe Ia) from the first 3 years of the Dark Energy Survey Supernova Program's (DES-SN) spectroscopically classified sample. T…
Star-galaxy classification in the Dark Energy Survey Y1 dataset
I. Sevilla-Noarbe, B. Hoyle, M. J. Marchã +75
We perform a comparison of different approaches to star-galaxy classification using the broad-band photometric data from Year 1 of the Dark Energy Survey. This is done by performin…
The Dark Energy Survey Image Processing Pipeline
E. Morganson, R. A. Gruendl, F. Menanteau +40
The Dark Energy Survey (DES) is a five-year optical imaging campaign with the goal of understanding the origin of cosmic acceleration. DES performs a 5000 square degree survey of t…
How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets?
D. Scolnic, R. Kessler, D. Brout +83
The discovery of a kilonova (KN) associated with the Advanced LIGO (aLIGO)/Virgo event GW170817 opens up new avenues of multi-messenger astrophysics. Here, using realistic simulati…
Instrumental response model and detrending for the Dark Energy Camera
G. M. Bernstein, T. M. C. Abbott, S. Desai +11
We describe the model for the mapping from sky brightness to the digital output of the Dark Energy Camera, and the algorithms adopted by the Dark Energy Survey (DES) for inverting…
Forward Global Photometric Calibration of the Dark Energy Survey
D. Burke, E. S. Rykoff, S. Allam +56
Many scientific goals for the Dark Energy Survey (DES) require calibration of optical/NIR broadband photometry that is stable in time and uniform over the celestial sky…
COSMOGRAIL XVI: Time delays for the quadruply imaged quasar DES J0408-5354 with high-cadence photometric monitoring
F. Courbin, V. Bonvin, E. Buckley-Geer +74
We present time-delay measurements for the new quadruply imaged quasar DES J0408-5354, the first quadruply imaged quasar found in the Dark Energy Survey (DES). Our result is made p…
Astrometric calibration and performance of the Dark Energy Camera
G. M. Bernstein, R. Armstrong, A. A. Plazas +53
We characterize the ability of the Dark Energy Camera (DECam) to perform relative astrometry across its 500~Mpix, 3 deg^2 science field of view, and across 4 years of operation. Th…
Assessment of Systematic Chromatic Errors that Impact Sub-1% Photometric Precision in Large-Area Sky Surveys
T. S. Li, D. L. DePoy, J. L. Marshall +69
Meeting the science goals for many current and future ground-based optical large-area sky surveys requires that the calibrated broadband photometry is stable in time and uniform ov…
Crowdsourcing quality control for Dark Energy Survey images
P. Melchior, E. Sheldon, A. Drlica-Wagner +47
We have developed a crowdsourcing web application for image quality control employed by the Dark Energy Survey. Dubbed the "DES exposure checker", it renders science-grade images d…
redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data
E. Rozo, E. S. Rykoff, A. Abate +84
We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in…
The DES Science Verification Weak Lensing Shear Catalogues
M. Jarvis, E. Sheldon, J. Zuntz +92
We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Da…
The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey
R. Kessler, J. Marriner, M. Childress +60
We describe the difference imaging pipeline (DiffImg) used to detect transients in deep images from the Dark Energy Survey Supernova program (DES-SN) in its first observing season…
Automated Transient Identification in the Dark Energy Survey
D. A. Goldstein, C. B. D'Andrea, J. A. Fischer +64
We describe an algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation. T…
Characterization and correction of charge-induced pixel shifts in DECam
Daniel Gruen, Gary M. Bernstein, Mike Jarvis +4
Interaction of charges in CCDs with the already accumulated charge distribution causes both a flux dependence of the point-spread function (an increase of observed size with flux,…
Resampling images in Fourier domain
Gary M. Bernstein, Daniel Gruen
When simulating sky images, one often takes a galaxy image defined by a set of pixelized samples and an interpolation kernel, and then wants to produce a new sampled image r…