activity
20072017
most citedNear-IR Galaxy Counts and Evolution from the Wide-Field ALHAMBRA survey

54 citations · 170 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.GA2017★ 8 cited

Stellar populations of galaxies in the ALHAMBRA survey up to . II. Stellar content of quiescent galaxies within the dust-corrected stellar masscolour and the colourcolour diagrams

L. A. Díaz-García, A. J. Cenarro, C. López-Sanjuan +27

Our aim is to determine the distribution of stellar population parameters (extinction, age, metallicity, and star formation rate) of quiescent galaxies within the rest-frame stella…

astro-ph.GA2016★ 6 cited

A -band selected catalogue of objects in the ALHAMBRA survey

L. Nieves-Seoane, A. Fernandez-Soto, P. Arnalte-Mur +31

The original ALHAMBRA catalogue contained over 400,000 galaxies selected using a synthetic F814W image, to the magnitude limit AB(F814W)24.5. Given the photometric redshif…

astro-ph.GA2016★ 11 cited

The ALHAMBRA survey: evolution of galaxy spectral segregation

Ll. Hurtado-Gil, P. Arnalte-Mur, V. J. Martínez +28

We study the clustering of galaxies as a function of spectral type and redshift in the range using data from the Advanced Large Homogeneous Area Medium Band Redshi…

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★ 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…