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A preliminary study of photometric redshifts based on the Wide Field Survey Telescope
The Wide Field Survey Telescope (WFST) is a dedicated time-domain multi-band (\(u\), \(g\), \(r\), \(i\), and \(z\)) photometric survey facility under construction. In this paper, we present a preliminary study that assesses the quality of photometric redshifts based on WFST by utilizing mock observ...
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Published in: | arXiv.org 2023-09 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The Wide Field Survey Telescope (WFST) is a dedicated time-domain multi-band (\(u\), \(g\), \(r\), \(i\), and \(z\)) photometric survey facility under construction. In this paper, we present a preliminary study that assesses the quality of photometric redshifts based on WFST by utilizing mock observations derived with the galaxy catalog in the COSMOS/UltraVISTA field. We apply the template fitting technique to estimate photometric redshifts by using the ZEBRA photometric-redshift code and adopting a modified set of adaptive templates. We evaluate the bias (median relative offset between the output photometric redshifts and input redshifts), normalized median absolute deviation (\(\sigma_{\rm NMAD}\)) and outlier fraction (\(f_{\rm outlier}\)) of photometric redshifts in two typical WFST observational cases, the single 30-second exposure observations (hereafter shallow mode) and co-added 50-minute exposure observations (hereafter deep mode). We find bias\(\la0.006\), \(\sigma_{\rm NMAD}\la0.03\), and \(f_{\rm outlier}\la5\%\) in the shallow mode and bias\(\approx 0.005\), \(\sigma_{\rm NMAD}\approx 0.06\), and \(f_{\rm outlier}\approx 17\%\)--\(27\%\) in the deep mode, respectively, under various lunar phases. Combining the WFST mock observational data with that from the upcoming CSST and Euclid surveys, we demonstrate that the \(z_{\rm phot}\) results can be significantly improved, with \(f_{\rm outlier}\approx 1\%\) and \(\sigma_{\rm NMAD}\approx 0.02\). |
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ISSN: | 2331-8422 |