activity
20182024
most citedThe Dark Energy Survey Image Processing Pipeline

231 citations · 760 across the 28 of their papers we have counts for

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Showing 2022Show all

17 papers · 1 filter

astro-ph.EP2022

Photometric Properties of Jupiter Trojans detected by the Dark Energy Survey

DES Collobration, :, Jiaming Pan +55

The Jupiter Trojans are a large group of asteroids that are co-orbiting with Jupiter near its L4 and L5 Lagrange points. The study of Jupiter Trojans is crucial for testing differe…

astro-ph.GA2022★ 15 cited

A Sample of Dust Attenuation Laws for DES Supernova Host Galaxies

J. Duarte, S. González-Gaitán, A. Mourao +58

Type Ia supernovae (SNe Ia) are useful distance indicators in cosmology, provided their luminosity is standardized by applying empirical corrections based on light-curve properties…

astro-ph.GA2022★ 19 cited

Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88

We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…

astro-ph.GA2022★ 11 cited

Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks

Ting-Yun Cheng, H. Domínguez Sánchez, J. Vega-Ferrero +54

We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised…

astro-ph.CO2022★ 13 cited

Dark Energy Survey Year 3 Results: Redshift Calibration of the MagLim Lens Sample from the combination of SOMPZ and clustering and its impact on Cosmology

G. Giannini, A. Alarcon, M. Gatti +111

We present an alternative calibration of the MagLim lens sample redshift distributions from the Dark Energy Survey (DES) first three years of data (Y3). The new calibration is base…

astro-ph.GA2022★ 41 cited

A galaxy-driven model of type Ia supernova luminosity variations

P. Wiseman, M. Vincenzi, M. Sullivan +59

Type Ia supernovae (SNe Ia) are used as standardisable candles to measure cosmological distances, but differences remain in their corrected luminosities which display a magnitude s…

astro-ph.HE2022★ 11 cited

Core-collapse Supernovae in the Dark Energy Survey: Luminosity Functions and Host Galaxy Demographics

M. Grayling, C. P. Gutiérrez, M. Sullivan +73

We present the luminosity functions and host galaxy properties of the Dark Energy Survey (DES) core-collapse supernova (CCSN) sample, consisting of 69 Type II and 50 Type Ibc spect…

astro-ph.CO2022

Dark Energy Survey Year 3 Results: Constraints on extensions to CDM with weak lensing and galaxy clustering

DES Collaboration, T. M. C. Abbott, M. Aguena +159

We constrain extensions to the CDM model using measurements from the Dark Energy Survey's first three years of observations and external data. The DES data are the two-point cor…

astro-ph.CO2022★ 1 cited

The Dark Energy Survey Supernova Program results: Type Ia Supernova brightness correlates with host galaxy dust

Cole Meldorf, Antonella Palmese, Dillon Brout +68

Cosmological analyses with type Ia supernovae (SNe Ia) often assume a single empirical relation between color and luminosity () and do not account for varying host-galaxy dust p…

astro-ph.CO2022★ 66 cited

STRIDES: Automated uniform models for 30 quadruply imaged quasars

T. Schmidt, T. Treu, S. Birrer +68

Gravitational time delays provide a powerful one step measurement of , independent of all other probes. One key ingredient in time delay cosmography are high accuracy lens mod…

astro-ph.CO2022★ 16 cited

Using Host Galaxy Spectroscopy to Explore Systematics in the Standardisation of Type Ia Supernovae

M. Dixon, C. Lidman, J. Mould +75

We use stacked spectra of the host galaxies of photometrically identified type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) to search for correlations between Hubble di…

astro-ph.CO2022

DeepZipper II: Searching for Lensed Supernovae in Dark Energy Survey Data with Deep Learning

Robert Morgan, B. Nord, K. Bechtol +64

Gravitationally lensed supernovae (LSNe) are important probes of cosmic expansion, but they remain rare and difficult to find. Current cosmic surveys likely contain and 5-10 LSNe i…

astro-ph.CO2022★ 36 cited

Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck II: Cross-correlation measurements and cosmological constraints

C. Chang, Y. Omori, E. J. Baxter +163

Cross-correlations of galaxy positions and galaxy shears with maps of gravitational lensing of the cosmic microwave background (CMB) are sensitive to the distribution of large-scal…

astro-ph.IM2022★ 77 cited

The DECam Local Volume Exploration Survey Data Release 2

A. Drlica-Wagner, P. S. Ferguson, M. Adamów +121

We present the second public data release (DR2) from the DECam Local Volume Exploration survey (DELVE). DELVE DR2 combines new DECam observations with archival DECam data from the…

astro-ph.CO2022★ 23 cited

Joint analysis of DES Year 3 data and CMB lensing from SPT and Planck I: Construction of CMB Lensing Maps and Modeling Choices

Y. Omori, E. J. Baxter, C. Chang +160

Joint analyses of cross-correlations between measurements of galaxy positions, galaxy lensing, and lensing of the cosmic microwave background (CMB) offer powerful constraints on th…

astro-ph.CO2022★ 32 cited

Measuring Cosmological Parameters with Type Ia Supernovae in redMaGiC galaxies

R. Chen, D. Scolnic, E. Rozo +82

Current and future cosmological analyses with Type Ia Supernovae (SNe Ia) face three critical challenges: i) measuring redshifts from the supernova or its host galaxy; ii) classify…

astro-ph.CO2022

Dark Energy Survey Year 3 Results: Three-Point Shear Correlations and Mass Aperture Moments

L. F. Secco, M. Jarvis, B. Jain +87

We present high signal-to-noise measurements of three-point shear correlations and the third moment of the mass aperture statistic using the first 3 years of data from the Dark Ene…