activity
20162025
most citedThe Dark Energy Survey: more than dark energy - an overview

1k citations · 1.1k across the 9 of their papers we have counts for

collaborators

9 papers

astro-ph.CO2025

A field-level reaction for screened modified gravity

Daniela Saadeh, Kazuya Koyama, Xan Morice-Atkinson

We present a field-level reaction framework to emulate the nonlinear effects of screened modified gravity on the cosmic web. This approach is designed to enable field-level inferen…

gr-qc2025

LearningMatch: Siamese Neural Network Learns the Match Manifold

Susanna Green, Andrew Lundgren, Xan Morice-Atkinson

The match, which is defined as the the similarity between two waveform templates, is a fundamental calculation in computationally expensive gravitational-wave data-analysis pipelin…

astro-ph.CO2024★ 8 cited

A field-level emulator for modified gravity

Daniela Saadeh, Kazuya Koyama, Xan Morice-Atkinson

Stage IV surveys like LSST and Euclid present a unique opportunity to shed light on the nature of dark energy. However, their full constraining power cannot be unlocked unless accu…

astro-ph.HE2023★ 30 cited

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run

Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar +50

Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs h…

astro-ph.GA2018★ 19 cited

Candidate Massive Galaxies at in the Dark Energy Survey

Pierandrea Guarnieri, Claudia Maraston, Daniel Thomas +52

Using stellar population models, we predicted that the Dark Energy Survey (DES) - due to its special combination of area (5000 deg. sq.) and depth () - would be in the po…

astro-ph.IM2017★ 20 cited

Learning from the machine: interpreting machine learning algorithms for point- and extended- source classification

Xan Morice-Atkinson, Ben Hoyle, David Bacon

We investigate star-galaxy classification for astronomical surveys in the context of four methods enabling the interpretation of black-box machine learning systems. The first is ou…

astro-ph.CO2017★ 6 cited

Evolution of Galaxy Luminosity and Stellar-Mass Functions since with the Dark Energy Survey Science Verification Data

D. Capozzi, J. Etherington, D. Thomas +60

We present the first study of the evolution of the galaxy luminosity and stellar-mass functions (GLF and GSMF) carried out by the Dark Energy Survey (DES). We describe the COMMODOR…

astro-ph.CO2017★ 27 cited

Core or cusps: The central dark matter profile of a redshift one strong lensing cluster with a bright central image

Thomas E. Collett, Elizabeth Buckley-Geer, Huan Lin +58

We report on SPT-CLJ2011-5228, a giant system of arcs created by a cluster at . The arc system is notable for the presence of a bright central image. The source is a Lyman…

astro-ph.CO2016★ 1k cited

The Dark Energy Survey: more than dark energy - an overview

Dark Energy Survey Collaboration, T. Abbott, F. B. Abdalla +138

This overview article describes the legacy prospect and discovery potential of the Dark Energy Survey (DES) beyond cosmological studies, illustrating it with examples from the DES…