248 citations · 1.5k across the 56 of their papers we have counts for
5 papers · 1 filter
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…
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…
Galaxy clusters and groups in the ALHAMBRA Survey
Begoña Ascaso, Narciso Benítez, Alberto Fernández-Soto +35
We present a catalogue of 348 galaxy clusters and groups with selected in the 2.78 ALHAMBRA Survey. The high precision of our photometric redshifts, close to $1…
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…
High redshift galaxies in the ALHAMBRA survey: I. selection method and number counts based on redshift PDFs
K. Viironen, A. Marín-Franch, C. López-Sanjuan +31
Context. Most observational results on the high redshift restframe UV-bright galaxies are based on samples pinpointed using the so called dropout technique or Ly-alpha selection. H…