activity
20172020
most citedThe ALHAMBRA survey: 2-D analysis of the stellar populations in massive early-type galaxies at z < 0.3

17 citations · 17 across the 1 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2020

The miniJPAS survey: star-galaxy classification using machine learning

P. O. Baqui, V. Marra, L. Casarini +31

Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…

astro-ph.GA2018

J-PLUS: measuring emission line fluxes in the nearby universe

R. Logroño-García, G. Vilella-Rojo, C. López-Sanjuan +29

In the present paper we aim to validate a methodology designed to extract the Halpha emission line flux from J-PLUS photometric data. J-PLUS is a multi narrow-band filter survey ca…

astro-ph.GA2018

J-PLUS: Morphological star/galaxy classification by PDF analysis

C. López-Sanjuan, H. Vázquez Ramió, J. Varela +29

Our goal is to morphologically classify the sources identified in the images of the J-PLUS early data release (EDR) into compact (stars) or extended (galaxies) using a suited Bayes…

astro-ph.GA2018

J-PLUS: The Javalambre Photometric Local Universe Survey

A. J. Cenarro, M. Moles, D. Cristóbal-Hornillos +119

J-PLUS is an ongoing 12-band photometric optical survey, observing thousands of square degrees of the Northern hemisphere from the dedicated JAST/T80 telescope at the Observatorio…

astro-ph.GA201717 cited

The ALHAMBRA survey: 2-D analysis of the stellar populations in massive early-type galaxies at z < 0.3

I. San Roman, A. J. Cenarro, L. A. Díaz-García +29

We present a technique that permits the analysis of stellar population gradients in a relatively low cost way compared to IFU surveys analyzing a vastly larger samples as well as o…