ELDAR, a new method to identify AGN in multi-filter surveys: the ALHAMBRA test-case
Jon\'as Chaves-Montero, Silvia Bonoli, Mara Salvato, Natascha Greisel,, Luis A. D\'iaz-Garc\'ia, Carlos L\'opez-Sanjuan, Kerttu Viironen, Alberto, Fern\'andez-Soto, Mirjana Povi\'c, Bego\~na Ascaso, Pablo Arnalte-Mur, Josefa, Masegosa, Israel Matute, Isabel M\'arquez

TL;DR
ELDAR is a novel method leveraging medium- and narrow-band filter surveys to accurately identify AGN and determine their redshifts, demonstrated effectively with the ALHAMBRA survey data.
Contribution
The paper introduces ELDAR, a new technique that improves AGN detection and redshift estimation by exploiting emission lines in multi-filter surveys, validated on ALHAMBRA data.
Findings
Achieved 73% and 67% completeness in AGN detection.
Reaches surface densities of 209 and 176 AGN per square degree.
No galaxy contamination at high redshift.
Abstract
We present ELDAR, a new method that exploits the potential of medium- and narrow-band filter surveys to securely identify active galactic nuclei (AGN) and determine their redshifts. Our methodology improves on traditional approaches by looking for AGN emission lines expected to be identified against the continuum, thanks to the width of the filters. To assess its performance, we apply ELDAR to the data of the ALHAMBRA survey, which covered an effective area of with 20 contiguous medium-band optical filters down to F814W. Using two different configurations of ELDAR in which we require the detection of at least 2 and 3 emission lines, respectively, we extract two catalogues of type-I AGN. The first is composed of 585 sources ( of them spectroscopically-unknown) down to F814W at , which corresponds to a surface density of…
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