The miniJPAS & J-NEP surveys: Identification and characterization of the Ly$\alpha$ Emitter population and the Ly$\alpha$ Luminosity Function
Alberto Torralba-Torregrosa, Siddhartha Gurung-L\'opez, Pablo, Arnalte-Mur, Daniele Spinoso, David Izquierdo-Villalba, Alberto, Fern\'andez-Soto, Ra\'ul Angulo, Silvia Bonoli, Rosa M. Gonz\'alez Delgado,, Isabel M\'arquez, Vicent J. Mart\'inez, P. T. Rahna, Jos\'e M. V\'ilchez,

TL;DR
This study estimates the Lyman-alpha luminosity function at redshifts 2.05 to 3.75 using data from miniJPAS and J-NEP surveys, demonstrating a method for identifying LAEs and analyzing their luminosity distribution.
Contribution
Developed a novel method for detecting Lyman-alpha emission across multiple filters and applied it to new survey data to characterize the LAE population and luminosity function.
Findings
The Lya LF is well-described by a Schechter function with specific parameters.
Bright Lya emitters are predominantly AGN, with minimal star-forming LAE contribution at high luminosities.
The method effectively probes the intermediate-bright range of Lya luminosities.
Abstract
We present the Lyman- (Lya) Luminosity Function (LF) at , estimated from a sample of 67 Lya-emitter (LAE) candidates in the J-PAS Pathfinder surveys: miniJPAS and J-NEP. These two surveys cover a total effective area of deg with 54 Narrow Band (NB) filters across the optical range, with typical limiting magnitudes of . This set of NBs allows to probe Lya emission in a wide and continuous range of redshifts. We develop a method for detecting Lya emission for the estimation of the Lya LF using the whole J-PAS filter set. We test this method by applying it to the miniJPAS and J-NEP data. In order to compute the corrections needed to estimate the Lya LF and to test the performance of the candidates selection method, we build mock catalogs. These include representative populations of Lya Emitters at as well as their expected contaminants,…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Scientific Research and Discoveries
