Astronomy and Astrophysics, volume 622A, 106-106 (2019/2-1)
Multifrequency filter search for high redshift sources and lensing systems in Herschel-ATLAS.
MANJON-GARCIA A., HERRANZ D., DIEGO J.M., BONAVERA L. and GONZALEZ-NUEVO J.
Abstract (from CDS):
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.
© ESO 2019
methods: data analysis - techniques: image processing - surveys - submillimeter: galaxies - galaxies: high-redshift - gravitational lensing: strong
VizieR on-line data:
<Available at CDS (J/A+A/622/A106): 500riser.dat robustz.dat>
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