activity
20052026
most citedEuclid. III. The NISP Instrument

114 citations · 1k across the 101 of their papers we have counts for

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Showing 2024Show all

12 papers · 1 filter

astro-ph.GA2024★ 1 cited

Chemical enrichment in LINERs from MaNGA. I. Tracing Oxygen and Nitrogen Nuclear Abundances in LINERs with Varied Ionizing Sources

Borja Pérez-Díaz, Enrique Pérez-Montero, Igor A. Zinchenko +1

The chemical enrichment in low-ionization nuclear emission-line regions (LINERs) is still an issue with spatial resolution spectroscopic data due to the lack of studies and the unc…

astro-ph.GA2024

Semi-empirical calibration of the oxygen abundance for LINER galaxies based on SDSS-IV MaNGA -- The case for strong and weak AGN

C. B. Oliveira, O. L. Dors, I. A. Zinchenko +5

In this paper, we present a semi-empirical calibration between the oxygen abundance and the emission-line ratio for Low Ionization Nuclear Emission Regions (LINERs). This rela…

astro-ph.GA2024

Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours

Euclid Collaboration, L. Bisigello, M. Massimo +244

Euclid will cover over 14000 with two optical and near-infrared spectro-photometric instruments, and is expected to detect around ten million active galactic nuclei (AGN)…

astro-ph.GA2024

Characterizing chemical abundance ratios in extremely metal-poor star-forming galaxies in DESI EDR

I. A. Zinchenko, M. Sobolenko, J. M. Vilchez +1

We present a search for galaxies in the local Universe with extremely low oxygen abundance, that is, more than 25 times lower than solar, which corresponds to 12 + log(O/H) < 7.3.…

astro-ph.GA2024

Different behaviour of the gas-phase and stellar metallicity in the central part of MaNGA galaxies

I. A. Zinchenko, J. M. Vilchez

We quantified the disparity between gas-phase and stellar metallicity in a large galaxy sample obtained from the MaNGA DR17 survey. We found that the gas metallicity is on average…

astro-ph.GA2024★ 8 cited

Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods

Euclid Collaboration, A. Enia, M. Bolzonella +260

Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting metho…