Photometry of high-redshift blended galaxies using deep learning

Alexandre Boucaud; Marc Huertas-Company; Caroline Heneka; Emille E.~O. Ishida; Nima Sedaghat; Rafael S. de Souza; Ben Moews; Hervé Dole; Marco Castellano; Emiliano Merlin; Valerio Roscani; Andrea Tramacere; Madhura Killedar; Arlindo M.~M. Trindade; Collaboration Coin

doi:10.1093/mnras/stz3056

Photometry of high-redshift blended galaxies using deep learning

Alexandre Boucaud
, Marc Huertas-Company
, Caroline Heneka
, Emille E.~O. Ishida
, Nima Sedaghat
, Rafael S. de Souza
, Ben Moews
, Hervé Dole
, Marco Castellano
, Emiliano Merlin
, Valerio Roscani
, Andrea Tramacere
, Madhura Killedar
, Arlindo M.~M. Trindade
, Collaboration Coin

Research output: Contribution to journal › Article › peer-review

53 Citations (Scopus)

Original language	Undefined/Unknown
Pages (from-to)	2481-2495
Number of pages	15
Journal	Monthly Notices of the Royal Astronomical Society (MNRAS)
Volume	491
Issue number	2
DOIs	https://doi.org/10.1093/mnras/stz3056
Publication status	Published - 1 Jan 2020

Keywords

methods: data analysis
methods: statistical
techniques: image processing
galaxies: general
galaxies: photometry
Astrophysics - Astrophysics of Galaxies
Astrophysics - Instrumentation and Methods for Astrophysics

Access to Document

10.1093/mnras/stz3056

Cite this

Boucaud, A., Huertas-Company, M., Heneka, C., Ishida, E. E. O., Sedaghat, N., de Souza, R. S., Moews, B., Dole, H., Castellano, M., Merlin, E., Roscani, V., Tramacere, A., Killedar, M., Trindade, A. M. M., & Coin, C. (2020). Photometry of high-redshift blended galaxies using deep learning. Monthly Notices of the Royal Astronomical Society (MNRAS), 491(2), 2481-2495. https://doi.org/10.1093/mnras/stz3056

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author = "Alexandre Boucaud and Marc Huertas-Company and Caroline Heneka and Ishida, \{Emille E.\textasciitilde{}O.\} and Nima Sedaghat and \{de Souza\}, \{Rafael S.\} and Ben Moews and Herv{\'e} Dole and Marco Castellano and Emiliano Merlin and Valerio Roscani and Andrea Tramacere and Madhura Killedar and Trindade, \{Arlindo M.\textasciitilde{}M.\} and Collaboration Coin",

year = "2020",

month = jan,

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doi = "10.1093/mnras/stz3056",

language = "Undefined/Unknown",

volume = "491",

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Boucaud, A, Huertas-Company, M, Heneka, C, Ishida, EEO, Sedaghat, N, de Souza, RS, Moews, B, Dole, H, Castellano, M, Merlin, E, Roscani, V, Tramacere, A, Killedar, M, Trindade, AMM & Coin, C 2020, 'Photometry of high-redshift blended galaxies using deep learning', Monthly Notices of the Royal Astronomical Society (MNRAS), vol. 491, no. 2, pp. 2481-2495. https://doi.org/10.1093/mnras/stz3056

TY - JOUR

T1 - Photometry of high-redshift blended galaxies using deep learning

AU - Boucaud, Alexandre

AU - Huertas-Company, Marc

AU - Heneka, Caroline

AU - Ishida, Emille E.~O.

AU - Sedaghat, Nima

AU - de Souza, Rafael S.

AU - Moews, Ben

AU - Dole, Hervé

AU - Castellano, Marco

AU - Merlin, Emiliano

AU - Roscani, Valerio

AU - Tramacere, Andrea

AU - Killedar, Madhura

AU - Trindade, Arlindo M.~M.

AU - Coin, Collaboration

PY - 2020/1/1

Y1 - 2020/1/1

KW - methods: data analysis

KW - methods: statistical

KW - techniques: image processing

KW - galaxies: general

KW - galaxies: photometry

KW - Astrophysics - Astrophysics of Galaxies

KW - Astrophysics - Instrumentation and Methods for Astrophysics

U2 - 10.1093/mnras/stz3056

DO - 10.1093/mnras/stz3056

M3 - Article

SN - 0035-8711

VL - 491

SP - 2481

EP - 2495

JO - Monthly Notices of the Royal Astronomical Society (MNRAS)

JF - Monthly Notices of the Royal Astronomical Society (MNRAS)

IS - 2

ER -