300 citations · 2.3k across the 45 of their papers we have counts for
7 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…
Accurate PSF-matched photometry and photometric redshifts for the Extreme Deep Field with the Chebyshev-Fourier functions
Y. Jiménez-Teja, N. Benítez, A. Molino +1
Photometric redshifts, which have become the cornerstone of several of the largest astronomical surveys like PanStarrs, DES, J-PAS or the LSST, require precise measurements of gala…
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…
I. Apples to apples : realistic galaxy simulated catalogs and photometric redshift predictions for next-generation surveys
Begoña Ascaso, Simona Mei, Narciso Benítez
We present new mock catalogues for two of the largest stage-IV next-generation surveys in the optical and infrared: LSST and Euclid, based on an N-body simulation+semi-analytical c…