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Multifrequency filter search for high redshift sources and lensing systems in Herschel -ATLAS

Abstract: We present a new catalog of high-redshift candidate Herschel sources. Our sample is obtained after applying a multifrequency filtering method (?matched multifilter?), which is designed to improve the signal-to-noise ratio of faint extragalactic point sources. The method is tested against already-detected sources from the Herschel Astrophysical Terahertz Large Area Survey (H-ATLAS) and used to search for new high-redshift candidates. The multifilter technique also produces an estimation of the photometric redshift of the sources. When compared with a sample of sources with known spectroscopic redshift, the photometric redshift returned from the multifilter is unbiased in the redshift range 0.8?< ?z?< ?4.3. Using simulated data we reproduced the same unbiased result in roughly the same redshift range and determined the error (and bias above z???4) in the photometric redshifts. Based on the multifilter technique, and a selection based on color, flux, and agreement of fit between the observed photometry and assumed SED, we find 370 robust candidates to be relatively bright high-redshift sources. A second sample with 237 objects focuses on the faint end at high-redshift. These 237 sources were previously near the H-ATLAS detection limit but are now confirmed with our technique as high significance detections. Finally, we look for possible lensed Herschel sources by cross-correlating the first sample of 370 objects with two different catalogs of known low-redshift objects, the redMaPPer Galaxy Cluster Catalog and a catalog of galaxies with spectroscopic redshift from the Sloan Digital Sky Survey Data Release 14. Our search renders a number of candidates to be lensed systems from the SDSS cross-correlation but none from the redMaPPeR confirming the more likely galactic nature of the lenses.

 Autoría: Manjón-García A., Herranz D., Diego J., Bonavera L., González-Nuevo J.,

 Fuente: Astronomy & Astrophysics, 2019, 622, A106

 Editorial: EDP Sciences

 Fecha de publicación: 01/02/2019

 Nº de páginas: 23

 Tipo de publicación: Artículo de Revista

 DOI: 10.1051/0004-6361/201834549

 ISSN: 0004-6361,1432-0746

 Proyecto español: AYA2015-64508-P ; AYA2015-65887-P

 Url de la publicación: https://doi.org/10.1051/0004-6361/201834549