activity
20202026
most citedGalaxy classification: deep learning on the OTELO and COSMOS databases

24 citations · 39 across the 13 of their papers we have counts for

collaborators

13 papers

astro-ph.GA2026

VENUS: an ultra-faint galaxy hosting the metal-poor type II supernova at Witnessing the initial metal enrichment with extremely frequent core-collapse supernovae?

Yoshihisa Asada, Seiji Fujimoto, Joseph F. V. Allingham +50

We present the first characterization of the host galaxy of a recently discovered type IIP SN at (SN Eos). SN Eos and its host galaxy are gravitationally lensed and multip…

astro-ph.GA2026

Not So Isolated: Green Pea Galaxies in Overdense Environments revealed by VLT/MUSE

A. Arroyo-Polonio, J. M. Vílchez, J. Iglesias-Páramo +9

Context. Green Pea galaxies (GPs) are local starburst galaxies serving as analogues for high-redshift star-forming galaxies, particularly Lyman continuum leakers. It remains debate…

astro-ph.HE2026

A spectroscopically confirmed, strongly lensed, metal-poor Type II supernova at z = 5.13

David A. Coulter, Conor Larison, Justin D. R. Pierel +88

Observing supernovae (SNe) in the early Universe (z > 3) provides a window into how both galaxies and individual stars have evolved over cosmic time, yet a detailed study of high-r…

astro-ph.GA2026★ 2 cited

VENUS: Two Faint Little Red Dots Separated by Hidden in a Single Lensed Galaxy at

Hiroto Yanagisawa, Masami Ouchi, Miriam Golubchik +47

We report the identification of a pair of faint little red dots (LRDs), dubbed Red Eyes, in a strongly-lensed galaxy at behind the PLCKG004.5-10.5 cluster, identified from…

astro-ph.GA2025★ 1 cited

J-PAS: First Identification, Physical Properties and Ionization Efficiency of Extreme Emission Line Galaxies

A. Giménez-Alcázar, R. Amorín, J. M. Vílchez +32

Extreme emission line galaxies (EELGs) are key tracers of intense star formation and potential analogues of the sources that reionized the early Universe. Their low-redshift counte…

astro-ph.GA2025★ 1 cited

Little red dot variability over a century reveals black hole envelope via a giant Einstein cross

Zijian Zhang, Mingyu Li, Masamune Oguri +79

"Little red dots" (LRDs) represent a new population of astronomical objects uncovered by JWST whose nature remains debated. Although many LRDs are suspected as active galactic nucl…

astro-ph.GA2025★ 2 cited

VENUS: When Red meets Blue -- A multiply imaged Little Red Dot with an apparent blue companion behind the galaxy cluster Abell 383

Miriam Golubchik, Lukas J. Furtak, Joseph F. V. Allingham +50

We report the discovery of a doubly-imaged Little Red Dot (LRD) candidate behind the galaxy cluster Abell 383, which we dub A383-LRD1. Initially classified as a dropout galaxy in H…

astro-ph.GA2025★ 1 cited

VENUS: A Strongly Lensed Clumpy Galaxy at behind the Galaxy Cluster MACS J0257.1-2325

Minami Nakane, Vasily Kokorev, Seiji Fujimoto +75

We present the discovery of a strongly lensed galaxy at , dubbed the ``Misty Moons'', identified in the JWST Treasury Survey, Vast Exploration for Nascent, Unexplored S…

astro-ph.GA2024★ 3 cited

The Lockman--SpReSO project. Main properties of infrared selected star-forming galaxies

Mauro González-Otero, Jordi Cepa, Carmen P. Padilla-Torres +18

Methods.We applied distinct selection criteria to attain an SFG sample with minimal AGN contamination. Multiple approaches were used to estimate the intrinsic extinction, SFR and g…

astro-ph.GA2024★ 1 cited

GLACE survey: OSIRIS/GTC tuneable imaging of the galaxy cluster ZwCl 0024.0+1652 II. The mass--metallicity relationship and the effect of the environment

Bernabé Cedrés, Simon B. De Daniloff, Ángel Bongiovanni +21

In this paper, we revisit the data for the galaxy cluster ZwCl 0024.0+1652 provided by the GLACE survey and study the mass--metallicity function and its relationship with the envir…

astro-ph.IM2021★ 1 cited

Non-Sequential Neural Network for Simultaneous, Consistent Classification and Photometric Redshifts of OTELO Galaxies

José A. de Diego, Jakub Nadolny, Ángel Bongiovanni +17

Context. Computational techniques are essential for mining large databases produced in modern surveys with value-added products. Aims. This paper presents a machine learning proced…

astro-ph.GA2021★ 3 cited

The OTELO survey: Revealing a population of low-luminosity current/active star-forming galaxies at z

Rocío Navarro Martínez, Ana María Pérez-García, Ricardo Pérez-Martínez +16

We study a sample of H emission line sources at 0.9 to identify the star-forming (SF) galaxies sample and characterise them in terms of line luminosity, stellar mass, SFR…

astro-ph.GA2020★ 24 cited

Galaxy classification: deep learning on the OTELO and COSMOS databases

José A. de Diego, Jakub Nadolny, Ángel Bongiovanni +19

Context. The accurate classification of hundreds of thousands of galaxies observed in modern deep surveys is imperative if we want to understand the universe and its evolution. Aim…