Photometric redshift estimation of strongly lensed galaxies
| Autor: | Danial Langeroodi, Alessandro Sonnenfeld, Henk Hoekstra, Adriano Agnello |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
MATTER HALOS
Cosmology and Nongalactic Astrophysics (astro-ph.CO) DARK ENERGY SURVEY STRONG GRAVITATIONAL LENSES INITIAL MASS FUNCTION DATA RELEASE DEEP FIELD FOS: Physical sciences Astronomy and Astrophysics Astrophysics::Cosmology and Extragalactic Astrophysics Astrophysics - Astrophysics of Galaxies EVOLUTION COLORS Space and Planetary Science Astrophysics of Galaxies (astro-ph.GA) strong [gravitational lensing] STELLAR IMF ACS SURVEY Astrophysics::Galaxy Astrophysics Astrophysics - Cosmology and Nongalactic Astrophysics |
| Zdroj: | Langeroodi, D, Sonnenfeld, A, Hoekstra, H & Agnello, A 2023, ' Photometric redshift estimation of strongly lensed galaxies ', Astronomy & Astrophysics, vol. 669, A154 . https://doi.org/10.1051/0004-6361/202244370 |
| DOI: | 10.1051/0004-6361/202244370 |
| Popis: | Around $10^5$ strongly lensed galaxies are expected to be discovered with Euclid and the LSST. Utilising these large samples to study the inner structure of lens galaxies requires source redshifts, to turn lens models into mass measurements. However, obtaining spectroscopic source redshifts for large lens samples is prohibitive with the capacity of spectroscopic facilities. Alternatively, we study the possibility of obtaining source photometric redshifts (photo-zs) for large lens samples. Our strategy consists of deblending the source and lens light by simultaneously modelling the lens and background source in all available photometric bands, and feeding the derived source colours to a template-fitting photo-z algorithm. We describe the lens and source light with a Sersic profile, and the lens mass with a Singular Isothermal Ellipsoid. We test our approach on a simulated and a real sample of lenses, both in broad-band photometry of the Hyper Suprime-Cam survey. We identify the deviations of the lens light from a Sersic profile and the contrast between the lens and source image as the main drivers of the source colour measurement error. We split the real sample based on the ratio $\Lambda$ of the lens to source surface brightness measured at the image locations. In the $\Lambda Comment: 15 pages, 13 figures, Accepted for Publication in A&A |
| Databáze: | OpenAIRE |
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