104 citations · 474 across the 11 of their papers we have counts for
11 papers
SDSS-IV MaNGA: drivers of stellar metallicity in nearby galaxies
Justus Neumann, Daniel Thomas, Claudia Maraston +12
The distribution of stellar metallicities within and across galaxies is an excellent relic of the chemical evolution across cosmic time. We present a detailed analysis of spatially…
SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogs and implications for bulge properties and stellar angular momentum
J. -L. Fischer, H. Domínguez Sánchez, M. Bernardi
We describe the SDSS-IV MaNGA PyMorph Photometric (MPP-VAC) and MaNGA Deep Learning Morphology (MDLM-VAC) Value Added Catalogs. The MPP-VAC provides photometric parameters from Sér…
Transfer learning for galaxy morphology from one survey to another
H. Domínguez Sánchez, M. Huertas-Company, M. Bernardi +56
Deep Learning (DL) algorithms for morphological classification of galaxies have proven very successful, mimicking (or even improving) visual classifications. However, these algorit…
A simultaneous search for High- LAEs and LBGs in the SHARDS survey
P. Arrabal Haro, J. M. Rodríguez Espinosa, C. Muñoz-Tuñón +15
We have undertaken a comprehensive search for both Lyman Alpha Emitters (LAEs) and Lyman Break Galaxies (LBGs) in the SHARDS Survey of the GOODS-N field. SHARDS is a deep imaging s…
Star-forming galaxies at low-redshift in the SHARDS survey
A. Lumbreras-Calle, C. Muñoz-Tuñón, J. Méndez-Abreu +13
The physical processes driving the evolution of star formation (SF) in galaxies over cosmic time still present many open questions. Recent galaxy surveys allow now to study these p…
Deep learning for galaxy surface brightness profile fitting
D. Tuccillo, M. Huertas-Company, E. Decencière +3
Numerous ongoing and future large area surveys (e.g. DES, EUCLID, LSST, WFIRST), will increase by several orders of magnitude the volume of data that can be exploited for galaxy mo…
SHARDS: A global view of the star formation activity at z~0.84 and z~1.23
Antonio Cava, Pablo G. Pérez-González, M. Carmen Eliche-Moral +22
In this paper, we present a comprehensive analysis of star-forming galaxies (SFGs) at intermediate redshifts (z~1). We combine the ultra-deep optical spectro-photometric data from…
Pathways to quiescence: SHARDS view on the Star Formation Histories of massive quiescent galaxies at 1.0 < z < 1.5
Helena Domínguez Sánchez, Pablo G. Pérez-González, Pilar Esquej +12
We present Star Formation Histories (SFHs) for a sample of 104 massive (stellar mass M > 10 M) quiescent galaxies (MQGs) at =1.0-1.5 from the analysis of spectr…
Herschel Far-IR counterparts of SDSS galaxies: Analysis of commonly used Star Formation Rate estimates
H. Domínguez Sánchez, A. Bongiovanni, M. A. Lara-López +13
We study a hundred of galaxies from the spectroscopic Sloan Digital Sky Survey with individual detections in the Far-Infrared Herschel PACS bands (100 or 160 m) and in the GALEX…
The UV to FIR spectral energy distribution of star-forming galaxies in the redshift desert
I. Oteo, Á. Bongiovanni, G. Magdis +6
We analyse the rest-frame UV-to-NIR spectral energy distribution (SED) of Lyman break galaxies (LBGs), star-forming (SF) BzK (sBzK), and UV-selected galaxies at 1.5 < z < 2.5 in th…
FIR-detected Lyman break galaxies at z ~ 3: Dust attenuation and dust correction factors at high redshift
I. Oteo, J. Cepa, Á. Bongiovanni +7
Lyman break galaxies (LBGs) represent one of the kinds of star-forming galaxies that are found in the high-redshift universe. The detection of LBGs in the FIR domain can provide ve…