87 citations · 99 across the 2 of their papers we have counts for
6 papers · 1 filter
The structural properties of classical bulges and discs from z~2
Paola Dimauro, Marc Huertas-Company, Emanuele Daddi +19
We study the rest-frame optical mass-size relation of bulges and discs from z~2 to z~0 for a complete sample of massive galaxies in the CANDELS fields using 2 component Sérsic mode…
Deep Learning Identifies High-z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range
M. Huertas-Company, J. R. Primack, A. Dekel +11
We use machine learning to identify in color images of high-redshift galaxies an astrophysical phenomenon predicted by cosmological simulations. This phenomenon, called the blue nu…
A catalog of polychromatic bulge-disk decompositions of ~ 17.600 galaxies in CANDELS
Paola Dimauro, Marc Huertas-Company, Emanuele Daddi +20
Understanding how bulges grow in galaxies is critical step towards unveiling the link between galaxy morphology and star-formation. To do so, it is necessary to decompose large sam…
The Strong Gravitational Lens Finding Challenge
R. Benton Metcalf, M. Meneghetti, Camille Avestruz +33
Large scale imaging surveys will increase the number of galaxy-scale strong lensing candidates by maybe three orders of magnitudes beyond the number known today. Finding these rare…
Deep learning for galaxy surface brightness profile fitting
D. Tuccillo, M. Huertas-Company, E. Decencière +3
Numerous ongoing and future large area surveys (e.g. DES, EUCLID, LSST, WFIRST), will increase by several orders of magnitude the volume of data that can be exploited for galaxy mo…
Neural-network selection of high-redshift radio quasars, and the luminosity function at z~4
D. Tuccillo, J. I. Gonzalez-Serrano, C. R. Benn
We obtain a sample of 87 radio-loud QSOs in the redshift range 3.6<z<4.4 by cross-correlating sources in the FIRST radio survey S{1.4GHz} > 1 mJy with star-like objects having r <2…