1.2k citations · 7.2k across the 54 of their papers we have counts for
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4MOST: Project overview and information for the First Call for Proposals
R. S. de Jong, O. Agertz, A. Agudo Berbel +335
We introduce the 4-metre Multi-Object Spectroscopic Telescope (4MOST), a new high-multiplex, wide-field spectroscopic survey facility under development for the four-metre-class Vis…
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…
The SkyMapper Transient Survey
Richard Scalzo, Fang Yuan, Michael J. Childress +7
The SkyMapper 1.3 m telescope at Siding Spring Observatory has now begun regular operations. Alongside the Southern Sky Survey, a comprehensive digital survey of the entire souther…
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 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…
Photometric redshift analysis in the Dark Energy Survey Science Verification data
C. Sánchez, M. Carrasco Kind, H. Lin +74
We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observation…
PyWiFeS: A Rapid Data Reduction Pipeline for the Wide Field Spectrograph (WiFeS)
Michael J. Childress, Frédéric P. A. Vogt, Jon Nielsen +1
We present PyWiFeS, a new Python-based data reduction pipeline for the Wide Field Spectrograph (WiFeS). PyWiFeS consists of a series of core data processing routines built on stand…