activity
20162026
most citedEvolution of the galaxy stellar mass functions and UV luminosity functions at in the Hubble Frontier Fields

151 citations · 843 across the 20 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

astro-ph.GA2020★ 7 cited

The Fundamental Plane of Massive Quiescent Galaxies at z~2

Mikkel Stockmann, Inger Jørgensen, Sune Toft +11

We examine the Fundamental Plane (FP) and mass-to-light ratio () scaling relations using the largest sample of massive quiescent galaxies at to date. The FP ($r_{e…

astro-ph.GA2020★ 67 cited

The relationship between fine galaxy stellar morphology and star formation activity in cosmological simulations: a deep learning view

Lorenzo Zanisi, Marc Huertas-Company, Francois Lanusse +10

Hydrodynamical simulations of galaxy formation and evolution attempt to fully model the physics that shapes galaxies. The agreement between the morphology of simulated and real gal…

astro-ph.GA2020★ 33 cited

Galaxy properties as revealed by MaNGA. III. Kinematic profiles and stellar population gradients in S0s

H. Domínguez Sánchez, M. Bernardi, F. Nikakhtar +2

This is the third paper of a series where we study the stellar population gradients (SP; ages, metallicities, -element abundance ratios and stellar initial mass functions) of ea…

astro-ph.GA2020★ 27 cited

The Stellar Mass Fundamental Plane: The virial relation and a very thin plane for slow-rotators

M. Bernardi, H. Domínguez Sanchez, B. Margalef-Bentabol +2

Early-type galaxies -- slow and fast rotating ellipticals (E-SRs and E-FRs) and S0s/lenticulars -- define a Fundamental Plane (FP) in the space of half-light radius , enclosed…

astro-ph.GA2020★ 58 cited

Detecting outliers in astronomical images with deep generative networks

Berta Margalef-Bentabol, Marc Huertas-Company, Tom Charnock +5

With the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative net…