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20002017
most citedThe CALIFA survey across the Hubble sequence: Spatially resolved stellar population properties in galaxies

311 citations · 1.6k across the 21 of their papers we have counts for

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Showing 2015Show all

5 papers · 1 filter

astro-ph.GA2015★ 12 cited

The ALHAMBRA survey : Estimation of the clustering signal encoded in the cosmic variance

C. López-Sanjuan, A. J. Cenarro, C. Hernández-Monteagudo +30

The relative cosmic variance () is a fundamental source of uncertainty in pencil-beam surveys and, as a particular case of count-in-cell statistics, can be used to estimate th…

astro-ph.GA2015★ 24 cited

The impact from survey depth and resolution on the morphological classification of galaxies

M. Pović, I. Márquez, J. Masegosa +28

We consistently analyse for the first time the impact of survey depth and spatial resolution on the most used morphological parameters for classifying galaxies through non-parametr…

astro-ph.GA2015★ 311 cited

The CALIFA survey across the Hubble sequence: Spatially resolved stellar population properties in galaxies

R. M. González Delgado, R. García-Benito, E. Pérez +32

This paper characterizes the radial structure of stellar population properties of galaxies in the nearby universe, based on 300 galaxies from the CALIFA survey. The sample covers a…

astro-ph.GA2015★ 24 cited

Stellar populations of galaxies in the ALHAMBRA survey up to . I. MUFFIT: A Multi-Filter Fitting code for stellar population diagnostics

L. A. Díaz-García, A. J. Cenarro, C. López-Sanjuan +29

We present MUFFIT, a new generic code optimized to retrieve the main stellar population parameters of galaxies in photometric multi-filter surveys, and we check its reliability and…

astro-ph.GA2015★ 53 cited

On the LINER nuclear obscuration, Compton-thickness and the existence of the dusty torus; Clues from Spitzer/IRS spectra

O. Gonzalez-Martin, J. Masegosa, I. Marquez +7

Most of the optically classified low ionisation narrow emission-line regions (LINERs) nuclei host an active galactic nuclei (AGN). However, how they fit into the unified model (UM)…