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Título

Dissecting quasars with the J-PAS narrow-band photometric survey

AutorBonoli, Silvia; Calderone, Giorgio; Abramo, Raul; Alcaniz, Jailson; Benítez, Narciso CSIC ORCID; Carneiro, Saulo; Cenarro, Javier; Cristóbal-Hornillos, David CSIC; Dupke, Renato A.; Ederoclite, Alessandro; López San Juan, Carlos; Marín-Franch, Antonio; Mendes de Oliveira, Claudia; Moles, Mariano CSIC; Placco, Vinicius; Sodré, Laerte; Taylor, Keith; Varela, Jesús CSIC; Vázquez Ramió, Héctor; J-PAS Collaboration
Palabras claveQuasars: general
Quasars: emission lines
Galaxies: nuclei
Galaxies: active
Surveys
Techniques: photometric
Fecha de publicación2021
EditorCambridge University Press
CitaciónNuclear Activity in Galaxies Across Cosmic Time: 12-16 (2021)
ResumenThe J-PAS survey will soon start observing thousands of square degrees of the Northern Sky with its unique set of 56 narrow band filters covering the entire optical wavelength range, providing, effectively, a low resolution spectra for every object detected. Active galaxies and quasars, thanks to their strong emission lines, can be easily identified and characterized with J-PAS data. A variety of studies can be performed, from IFU-like analysis of local AGN, to clustering of high-z quasars. We also expect to be able to extract intrinsic physical quasar properties from the J-PAS pseudo-spectra, including continuum slope and emission line luminosities. Here we show the first attempts of using the QSFit software package to derive the properties for 22 quasars at 0.8 < z < 2 observed by the miniJPAS survey, the first deg2 of J-PAS data obtained with an interim camera. Results are compared with the ones obtained by applying the same software to SDSS quasar spectra.
DescripciónNuclear Activity in Galaxies Across Cosmic Time, Proceedings of the conference held 7-11 October 2019 in Addis Ababa, Ethiopia. Edited by Mirjana Pović et al. Proceedings of the International Astronomical Union, Volume 356, pp. 12-16
Versión del editorhttp://dx.doi.org/10.1017/S1743921320002483
URIhttp://hdl.handle.net/10261/252276
DOI 10.1017/S1743921320002483
Identificadoresdoi: 10.1017/S1743921320002483
isbn: 9781108492010
other SEV-2017-0709
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