activity
20182025
most citedPushing automated morphological classifications to their limits with the Dark Energy Survey

44 citations · 91 across the 4 of their papers we have counts for

collaborators

7 papers

astro-ph.GA20251 cited

The Cosmic Evolution Early Release Science Survey (CEERS)

Steven L. Finkelstein, Micaela B. Bagley, Pablo Arrabal Haro +96

We present the Cosmic Evolution Early Release Science (CEERS) Survey, a 77.2 hour Director's Discretionary Early Release Science Program. CEERS demonstrates, tests, and validates e…

astro-ph.CO202235 cited

A Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton parameter maps

Daniel de Andres, Weiguang Cui, Florian Ruppin +8

Galaxy clusters are useful laboratories to investigate the evolution of the Universe, and accurately measuring their total masses allows us to constrain important cosmological para…

astro-ph.GA202211 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.CO2021

Shocks in the Stacked Sunyaev-Zel'dovich Profiles of Clusters I: Analysis with the Three Hundred Simulations

Eric J. Baxter, Susmita Adhikari, Jesús Vega-Ferrero +4

Gas infalling into the gravitational potential wells of massive galaxy clusters is expected to experience one or more shocks on its journey to becoming part of the intracluster med…

astro-ph.GA202044 cited

Pushing automated morphological classifications to their limits with the Dark Energy Survey

J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60

We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…

astro-ph.GA2018

The Three Hundred project: a large catalogue of theoretically modelled galaxy clusters for cosmological and astrophysical applications

Weiguang Cui, Alexander Knebe, Gustavo Yepes +34

We introduce the THE THREE HUNDRED project, an endeavour to model 324 large galaxy clusters with full-physics hydrodynamical re-simulations. Here we present the data set and study…