Predicted redshifts of galaxies with NetZ : J/A+A/651/A55


Authors : Schuldt S. orcid , Suyu S.H., Canameras R. (hide) , Suyu S.H., Canameras R. et..al

Bibcode : 2021A&A...651A..55S (ADS) (Simbad) (Objects) (hide)

CDS Keywords : Models; Galaxies; Redshifts
UAT : Astronomical models, Galaxies, Redshifted

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Inserted into VizieR : 13-Jul-2021
Last modification : 29-Sep-2021

Photometric Redshift estimation with a Convolutional Neural Network NetZ. (2021)

Keywords : catalogs - techniques photometric - galaxies: photometry - galaxies: high-redshift galaxies: distances and redshifts

Abstract:The redshifts of galaxies are a key attribute that is needed for nearly all extragalactic studies. Since spectroscopic redshifts require additional telescope and human resources, millions of galaxies are known without spectroscopic redshifts. Therefore, it is crucial to have methods for estimating the redshift of a galaxy based on its photometric properties, the so-called photo-z. We developed NetZ, a new method using a Convolutional Neural Network (CNN) to predict the photo-z based on galaxy images, in contrast to previous methods which often used only the integrated photometries of galaxies without their images. We use data from the Hyper Suprime-Cam Subaru Strategic Program (HSC SSP) in five different filters as training data. The ...(more)
Abstract: (hide)
We present a catalog of photometric redshifts predicted with our newly developed code NetZ. The catalog contains 34414686 redshift entries for galaxies from the HSC survey.
Stefan Schuldt, stefan.schuldt(at)tum.de

                
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