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From Naked Spheroids to Disky Galaxies: How Do Massive Disk Galaxies Shape Their Morphology?
L. Costantin
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P.G. Pérez-González
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J. Méndez-Abreu
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M. Huertas-Company
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B. Alcalde Pampliega
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et al.
Journal articles
hal-03585551v1
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Mass assembly and morphological transformations since z ∼ 3 from CANDELS
M. Huertas-Company
,
M. Bernardi
,
P. Pérez-González
,
M. Ashby
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G. Barro
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et al.
Journal articles
hal-02316013v1
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The morphological transformation of red sequence galaxies in clusters since z ∼ 1
P. Cerulo
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W. Couch
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C. Lidman
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R. Demarco
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M. Huertas-Company
,
et al.
Journal articles
hal-02147601v1
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The massive end of the luminosity and stellar mass functions and clustering from CMASS to SDSS: evidence for and against passive evolution
M. Bernardi
,
A. Meert
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R. Sheth
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M. Huertas-Company
,
C. Maraston
,
et al.
Journal articles
hal-02316543v1
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The accelerated build-up of the red sequence in high-redshift galaxy clusters
P. Cerulo
,
W. Couch
,
C. Lidman
,
R. Demarco
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M. Huertas-Company
,
et al.
Journal articles
hal-02316389v1
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Euclid preparation. XXV. The Euclid Morphology Challenge -- Towards model-fitting photometry for billions of galaxies
E. Merlin
,
M. Castellano
,
H. Bretonnière
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M. Huertas-Company
,
U. Kuchner
,
et al.
Journal articles
hal-03841758v1
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Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey (Corrigendum)
S. E. van Mierlo
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K. I. Caputi
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M. Ashby
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H. Atek
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M. Bolzonella
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et al.
Journal articles
hal-03935710v1
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Deep learning for galaxy surface brightness profile fitting
D. Tuccillo
,
M. Huertas-Company
,
E. Decencière
,
S. Velasco-Forero
,
H. Domínguez Sánchez
,
et al.
Journal articles
insu-03718938v1
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Larger sizes of massive quiescent early-type galaxies in clusters than in the field at 0.8 < z < 1.5
Lauriane Delaye
,
M. Huertas-Company
,
S. Mei
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C. Lidman
,
R. Licitra
,
et al.
Journal articles
hal-02366114v1
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Improving galaxy morphologies for SDSS with Deep Learning
H Domínguez Sánchez
,
M. Huertas-Company
,
M. Bernardi
,
D Tuccillo
,
J.L. Fischer
Journal articles
hal-01791939v1
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Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks
Ting-Yun Cheng
,
H. Domínguez Sánchez
,
J. Vega-Ferrero
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C.J. Conselice
,
M. Siudek
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et al.
Journal articles
hal-03815199v1
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Pushing automated morphological classifications to their limits with the Dark Energy Survey
J. Vega-Ferrero
,
H. Domínguez Sánchez
,
M. Bernardi
,
M. Huertas-Company
,
R. Morgan
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et al.
Journal articles
hal-03122292v1
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Deep Learning Identifies High- z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range
M. Huertas-Company
,
J. Primack
,
A. Dekel
,
D. Koo
,
S. Lapiner
,
et al.
Journal articles
hal-02307620v1
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Euclid preparation XXVI: The Euclid Morphology Challenge. Towards structural parameters for billions of galaxies
H. Bretonnière
,
U. Kuchner
,
M. Huertas-Company
,
E. Merlin
,
M. Castellano
,
et al.
Journal articles
hal-03841727v1
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Science case and requirements for the MOSAIC concept for a multi-object spectrograph for the European Extremely Large Telescope
C. J. Evans
,
M. Puech
,
B. Barbuy
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P. Bonifacio
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J. -G. Cuby
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et al.
Conference papers
hal-03566064v1
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On the Transition of the Galaxy Quenching Mode at 0.5 < z < 1 in CANDELS
Franklin Liu
,
Meng Jia
,
Hassen Yesuf
,
S. Faber
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David Koo
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et al.
Journal articles
hal-02307663v1
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SDSS-IV DR17: final release of MaNGA PyMorph photometric and deep-learning morphological catalogues
H. Domínguez Sánchez
,
B. Margalef
,
M. Bernardi
,
M. Huertas-Company
Journal articles
insu-03717134v1
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A probabilistic deep learning model to distinguish cusps and cores in dwarf galaxies
J. Expósito-Márquez
,
C.B. Brook
,
M. Huertas-Company
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A. Di Cintio
,
A.V. Macciò
,
et al.
Journal articles
hal-03798284v1
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The building up of observed stellar scaling relations of massive galaxies and the connection to black hole growth in the TNG50 simulation
S. Varma
,
M. Huertas-Company
,
A. Pillepich
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D. Nelson
,
V. Rodriguez-Gomez
,
et al.
Journal articles
insu-03717137v1
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Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images
L. Bisigello
,
C. J. Conselice
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M. Baes
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M. Bolzonella
,
M. Brescia
,
et al.
Journal articles
insu-03947319v1
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Transfer learning for galaxy morphology from one survey to another
H. Domínguez Sánchez
,
M. Huertas-Company
,
M. Bernardi
,
S. Kaviraj
,
J.L. Fischer
,
et al.
Journal articles
hal-01897155v1
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Galaxy size trends as a consequence of cosmology
M. Stringer
,
F. Shankar
,
G. Novak
,
M. Huertas-Company
,
F. Combes
,
et al.
Journal articles
hal-02563849v1
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The miniJPAS survey: A preview of the Universe in 56 colors
S. Bonoli
,
A. Marín-Franch
,
J. Varela
,
H. Vázquez Ramió
,
L.R. Abramo
,
et al.
Journal articles
hal-03129632v1
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The host galaxies of luminous type 2 AGN at z ∼0.3-0.4
J J Urbano-Mayorgas
,
M. Villar Martín
,
F Buitrago
,
J Piqueras López
,
B Rodríguez del Pino
,
et al.
Journal articles
hal-02094532v1
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