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GraL spectroscopic identification of multiply imaged quasars

Authors :
Jalan, Priyanka
Negi, Vibhore
Surdej, Jean
Boehm, Céline
Delchambre, Ludovic
Brok, Jakob Sebastian den
Dobie, Dougal
Drake, Andrew
Ducourant, Christine
Djorgovski, S. George
Galluccio, Laurent
Graham, Matthew J.
Klüter, Jonas
Krone-Martins, Alberto
LeCampion, Jean-François
Mahabal, Ashish A.
Mignard, François
Murphy, Tara
Nierenberg, Anna
Scarano, Sergio
Simon, Joseph
Slezak, Eric
Sluse, Dominique
Spíndola-Duarte, Carolina
Stern, Daniel
Teixera, Ramachrisna
Wambsganss, Joachim
Publication Year :
2023

Abstract

Gravitational lensing is proven to be one of the most efficient tools for studying the Universe. The spectral confirmation of such sources requires extensive calibration. This paper discusses the spectral extraction technique for the case of multiple source spectra being very near each other. Using the masking technique, we first detect high Signal-to-Noise (S/N) peaks in the CCD spectral image corresponding to the location of the source spectra. This technique computes the cumulative signal using a weighted sum, yielding a reliable approximation for the total counts contributed by each source spectrum. We then proceed with the subtraction of the contaminating spectra. Applying this method, we confirm the nature of 11 lensed quasar candidates.<br />Comment: Accepted for publication in Bulletin de la Soci\'et\'e Royale des Sciences de Li\`ege (BSRSL)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2312.08217
Document Type :
Working Paper