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13 papers · 2 filters
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…
Finding high-redshift strong lenses in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +63
We search Dark Energy Survey (DES) Year 3 imaging data for galaxy-galaxy strong gravitational lenses using convolutional neural networks. We generate 250,000 simulated lenses at re…
The morphology and structure of stellar populations in the Fornax dwarf spheroidal galaxy from Dark Energy Survey Data
Mei-Yu Wang, T. de Boer, A. Pieres +55
Using deep wide-field photometry three-year data (Y3) from the Dark Energy Survey (DES), we present a panoramic study of the Fornax dwarf spheroidal galaxy. The data presented here…
A catalogue of structural and morphological measurements for DES Y1
F. Tarsitano, W. G. Hartley, A. Amara +60
We present a structural and morphological catalogue for 45 million objects selected from the first year of data from the Dark Energy Survey (DES). Single Sersic fits and non-parame…
Is every strong lens model unhappy in its own way? Uniform modelling of a sample of 13 quadruply+ imaged quasars
A. J. Shajib, S. Birrer, T. Treu +70
Strong-gravitational lens systems with quadruply-imaged quasars (quads) are unique probes to address several fundamental problems in cosmology and astrophysics. Although they are i…
Transfer learning for galaxy morphology from one survey to another
H. Domínguez Sánchez, M. Huertas-Company, M. Bernardi +56
Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorit…