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X
Huertas-Company, M
~ 1500  Ergebnisse:
Personensuche X
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1

Galaxy morphology from z ∼ 6 through the lens of JWST:

Huertas-Company, M. ; Iyer, K. G. ; Angeloudi, E....
Astronomy & Astrophysics.  685 (2024)  - p. A48 , 2024
Link: https://doi.org/10.1051/..
 
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2

A post-merger enhancement only in star-forming Type 2 Seyfe..:

Avirett-Mackenzie, M S ; Villforth, C ; Huertas-Company, M...
Monthly Notices of the Royal Astronomical Society.  528 (2024)  4 - p. 6915-6933 , 2024
Link: https://doi.org/10.1093/..
 
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3

CEERS Key Paper. VI. JWST/MIRI Uncovers a Large Population ..:

Yang 杨, G. 光 ; Caputi, K. I. ; Papovich, C....
The Astrophysical Journal Letters.  950 (2023)  1 - p. L5 , 2023
Link: https://doi.org/10.3847/..
 
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4

Identification of tidal features in deep optical galaxy ima..:

Sánchez, H Domínguez ; Martin, G ; Damjanov, I...
Monthly Notices of the Royal Astronomical Society.  521 (2023)  3 - p. 3861-3872 , 2023
Link: https://doi.org/10.1093/..
 
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5

Euclid preparation: XXVI. The Euclid Morphology Challenge: ..:

Euclid Collaboration ; Bretonnière, H. ; Kuchner, U....
Astronomy & Astrophysics.  671 (2023)  - p. A102 , 2023
Link: https://doi.org/10.1051/..
 
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6

Ask the machine: systematic detection of wind-type outflows..:

Mata Sánchez, D ; Muñoz-Darias, T ; Casares, J..
Monthly Notices of the Royal Astronomical Society.  524 (2023)  1 - p. 338-350 , 2023
Link: https://doi.org/10.1093/..
 
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7

The Dawes Review 10: The impact of deep learning for the an..:

Huertas-Company, M. ; Lanusse, F.
Publications of the Astronomical Society of Australia.  40 (2023)  - p. , 2023
Link: https://doi.org/10.1017/..
 
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8

Euclid preparation: XXV. The Euclid Morphology Challenge: T..:

Euclid Collaboration ; Merlin, E. ; Castellano, M....
Astronomy & Astrophysics.  671 (2023)  - p. A101 , 2023
Link: https://doi.org/10.1051/..
 
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9

Euclid preparation: XIII. Forecasts for galaxy morphology w..:

Euclid Collaboration ; Bretonnière, H. ; Huertas-Company, M....
Astronomy & Astrophysics.  657 (2022)  - p. A90 , 2022
Link: https://doi.org/10.1051/..
 
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10

Lessons learned from the two largest Galaxy morphological c..:

Cheng, T-Y ; Domínguez Sánchez, H ; Vega-Ferrero, J...
Monthly Notices of the Royal Astronomical Society.  518 (2022)  2 - p. 2794-2809 , 2022
Link: https://doi.org/10.1093/..
 
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11

A probabilistic deep learning model to distinguish cusps an..:

Expósito-Márquez, J ; Brook, C B ; Huertas-Company, M...
Monthly Notices of the Royal Astronomical Society.  519 (2022)  3 - p. 4384-4396 , 2022
Link: https://doi.org/10.1093/..
 
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12

Pushing automated morphological classifications to their li..:

Vega-Ferrero, J ; Domínguez Sánchez, H ; Bernardi, M...
Monthly Notices of the Royal Astronomical Society.  506 (2021)  2 - p. 1927-1943 , 2021
Link: https://doi.org/10.1093/..
 
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13

The evolution of compact massive quiescent and star-forming..:

Zanisi, L ; Shankar, F ; Fu, H...
Monthly Notices of the Royal Astronomical Society.  505 (2021)  3 - p. 4555-4570 , 2021
Link: https://doi.org/10.1093/..
 
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14

The size function of massive satellites from the Re–Rh and ..:

Zanisi, L ; Shankar, F ; Bernardi, M..
Monthly Notices of the Royal Astronomical Society: Letters.  505 (2021)  1 - p. L84-L89 , 2021
Link: https://doi.org/10.1093/..
 
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15

SDSS-IV DR17: final release of MaNGA PyMorph photometric an..:

Domínguez Sánchez, H ; Margalef, B ; Bernardi, M.
Monthly Notices of the Royal Astronomical Society.  509 (2021)  3 - p. 4024-4036 , 2021
Link: https://doi.org/10.1093/..
 
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