1k citations · 9.9k across the 107 of their papers we have counts for
14 papers · 1 filter
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…
Better support for collaborations preparing for large-scale projects: the case study of the LSST Science Collaborations Astro2020 APC White Paper
Federica B. Bianco, Manda Banerji, John Bochanski +17
Through the lens of the LSST Science Collaborations' experience, this paper advocates for new and improved ways to fund large, complex collaborations at the interface of data scien…
4MOST Scientific Operations
C. J. Walcher, M. Banerji, C. Battistini +65
The 4MOST instrument is a multi-object spectrograph that will address Galactic and extragalactic science cases simultaneously by observing targets from a large number of different…
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…
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…
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…
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…
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…
Modelling the Transfer Function for the Dark Energy Survey
C. Chang, M. T. Busha, R. H. Wechsler +40
We present a forward-modelling simulation framework designed to model the data products from the Dark Energy Survey (DES). This forward-model process can be thought of as a transfe…
4MOST - 4m Multi Object Spectroscopic Telescope
Eric Depagne, the 4MOST consortium
4MOST (4m Multi Object Spectroscopic Telescope) is a spectroscopic facility that will be installed on ESO's VISTA around 2020. The science rationale of this facility are to be foun…
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…
4MOST - 4-metre Multi-Object Spectroscopic Telescope
Roelof S. de Jong, Olga Bellido-Tirado, Cristina Chiappini +82
The 4MOST consortium is currently halfway through a Conceptual Design study for ESO with the aim to develop a wide-field (>3 square degree, goal >5 square degree), high-multiplex (…
Photometric redshift estimation using Gaussian processes
D. G. Bonfield, Y. Sun, N. Davey +4
We present a comparison between Gaussian processes (GPs) and artificial neural networks (ANNs) as methods for determining photometric redshifts for galaxies, given training set dat…