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20142021
most citedredMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data

208 citations · 2.5k across the 33 of their papers we have counts for

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Showing 2015Show all

21 papers · 1 filter

astro-ph.GA2015★ 60 cited

Digging deeper into the Southern skies: a compact Milky-Way companion discovered in first-year Dark Energy Survey data

E. Luque, A. Queiroz, B. Santiago +61

The Dark Energy Survey (DES) is a 5000 sq. degree survey in the southern hemisphere, which is rapidly reducing the existing north-south asymmetry in the census of MW satellites and…

astro-ph.GA2015★ 47 cited

Discovery of two gravitationally lensed quasars in the Dark Energy Survey

Adriano Agnello, Tommaso Treu, Fernanda Ostrovski +77

We present spectroscopic confirmation of two new lensed quasars via data obtained at the 6.5m Magellan/Baade Telescope. The lens candidates have been selected from the Dark Energy…

astro-ph.CO2015★ 151 cited

Redshift distributions of galaxies in the DES Science Verification shear catalogue and implications for weak lensing

C. Bonnett, M. A. Troxel, W. Hartley +104

We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learni…

astro-ph.IM2015★ 208 cited

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…

astro-ph.EP2015★ 27 cited

Observation of Two New L4 Neptune Trojans in the Dark Energy Survey Supernova Fields

D. W. Gerdes, R. J. Jennings, G. M. Bernstein +62

We report the discovery of the eighth and ninth known Trojans in stable orbits around Neptune's leading Lagrange point, L4. The objects 2014 QO and 2014 QP were det…

astro-ph.GA2015★ 97 cited

No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey

E. Suchyta, E. M. Huff, J. Aleksić +72

Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have have rel…