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20142026
most citedDark Energy Survey Year 3 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 7.5k across the 183 of their papers we have counts for

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6 papers · 1 filter

astro-ph.EP2025

Year six photometric measurements of known Trans-Neptunian Objects and Centaurs by the Dark Energy Survey

Feliphe S. Ferreira, Julio I. B. Camargo, Rodrigo Boufleur +60

We identified known Trans-Neptunian Objects (TNOs) and Centaurs in the complete Dark Energy Survey (DES) year six catalog (DES Y6) through the Sky Body Tracker (SkyBoT) tool. We cl…

astro-ph.EP2023★ 1 cited

Photometry of outer Solar System objects from the Dark Energy Survey I: photometric methods, light curve distributions and trans-Neptunian binaries

P. H. Bernardinelli, G. M. Bernstein, N. Jindal +47

We report the methods of and initial scientific inferences from the extraction of precision photometric information for the trans-Neptunian objects (TNOs) discovered in the…

astro-ph.EP2021★ 30 cited

C/2014 UN271 (Bernardinelli-Bernstein): the nearly spherical cow of comets

Pedro H. Bernardinelli, Gary M. Bernstein, Benjamin T. Montet +64

C/2014 UN271 (Bernardinelli-Bernstein) is a comet incoming from the Oort cloud which is remarkable in having the brightest (and presumably largest) nucleus of any well-measured com…

astro-ph.EP2021★ 64 cited

A search of the full six years of the Dark Energy Survey for outer Solar System objects

Pedro H. Bernardinelli, Gary M. Bernstein, Masao Sako +64

We present the results of a search for outer Solar System objects in the full six years of data (Y6) from the Dark Energy Survey (DES). The DES covered a contiguous deg…

astro-ph.EP2021

No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects

K. J. Napier, D. W. Gerdes, Hsing Wen Lin +50

The apparent clustering in longitude of perihelion and ascending node of extreme trans-Neptunian objects (ETNOs) has been attributed to the gravitational effects of an…

astro-ph.EP2020★ 7 cited

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects

B. Henghes, O. Lahav, D. W. Gerdes +56

In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy Survey (DES) data wh…