Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100701772> ?p ?o ?g. }
- W3100701772 endingPage "108004" @default.
- W3100701772 startingPage "108004" @default.
- W3100701772 abstract "Future radio surveys will generate catalogs of tens of millions of radio sources, for which redshift estimates will be essential to achieve many of the science goals. However, spectroscopic data will be available for only a small fraction of these sources, and in most cases even the optical and infrared photometry will be of limited quality. Furthermore, radio sources tend to be at higher redshift than most optical sources (most radio surveys have a median redshift greater than 1) and so a significant fraction of radio sources hosts differ from those for which most photometric redshift templates are designed. We therefore need to develop new techniques for estimating the redshifts of radio sources. As a starting point in this process, we evaluate a number of machine-learning techniques for estimating redshift, together with a conventional template-fitting technique. We pay special attention to how the performance is affected by the incompleteness of the training sample and by sparseness of the parameter space or by limited availability of ancillary multiwavelength data. As expected, we find that the quality of the photometric-redshift degrades as the quality of the photometry decreases, but that even with the limited quality of photometry available for all-sky-surveys, useful redshift information is available for the majority of sources, particularly at low redshift. We find that a template-fitting technique performs best in the presence of high-quality and almost complete multi-band photometry, especially if radio sources that are also X-ray emitting are treated separately, using specific templates and priors. When we reduced the quality of photometry to match that available for the EMU all-sky radio survey, the quality of the template-fitting degraded and became comparable to some of the machine-learning methods. Machine learning techniques currently perform better at low redshift than at high redshift, because of incompleteness of the currently available training data at high redshifts." @default.
- W3100701772 created "2020-11-23" @default.
- W3100701772 creator A5001521733 @default.
- W3100701772 creator A5005388897 @default.
- W3100701772 creator A5005678872 @default.
- W3100701772 creator A5005934142 @default.
- W3100701772 creator A5006179100 @default.
- W3100701772 creator A5006560423 @default.
- W3100701772 creator A5028392415 @default.
- W3100701772 creator A5032808768 @default.
- W3100701772 creator A5033748618 @default.
- W3100701772 creator A5034829776 @default.
- W3100701772 creator A5035042727 @default.
- W3100701772 creator A5039049327 @default.
- W3100701772 creator A5047350704 @default.
- W3100701772 creator A5055776887 @default.
- W3100701772 creator A5072597432 @default.
- W3100701772 creator A5076927444 @default.
- W3100701772 creator A5089614131 @default.
- W3100701772 date "2019-08-30" @default.
- W3100701772 modified "2023-10-06" @default.
- W3100701772 title "A Comparison of Photometric Redshift Techniques for Large Radio Surveys" @default.
- W3100701772 cites W1896993123 @default.
- W3100701772 cites W1916006773 @default.
- W3100701772 cites W1969628537 @default.
- W3100701772 cites W1969832966 @default.
- W3100701772 cites W2009016388 @default.
- W3100701772 cites W2010677644 @default.
- W3100701772 cites W2035111960 @default.
- W3100701772 cites W2042369320 @default.
- W3100701772 cites W2047970181 @default.
- W3100701772 cites W2052937506 @default.
- W3100701772 cites W2058839679 @default.
- W3100701772 cites W2087469502 @default.
- W3100701772 cites W2090818992 @default.
- W3100701772 cites W2091594642 @default.
- W3100701772 cites W2095855161 @default.
- W3100701772 cites W2100677756 @default.
- W3100701772 cites W2102519805 @default.
- W3100701772 cites W2109062722 @default.
- W3100701772 cites W2112152942 @default.
- W3100701772 cites W2113242816 @default.
- W3100701772 cites W2115004499 @default.
- W3100701772 cites W2119114072 @default.
- W3100701772 cites W2120932377 @default.
- W3100701772 cites W2121402967 @default.
- W3100701772 cites W2127810294 @default.
- W3100701772 cites W2129362990 @default.
- W3100701772 cites W2130638402 @default.
- W3100701772 cites W2138569323 @default.
- W3100701772 cites W2139376206 @default.
- W3100701772 cites W2140191315 @default.
- W3100701772 cites W2153478568 @default.
- W3100701772 cites W2158528198 @default.
- W3100701772 cites W2159201821 @default.
- W3100701772 cites W2162926959 @default.
- W3100701772 cites W2163306553 @default.
- W3100701772 cites W2167335950 @default.
- W3100701772 cites W2169687337 @default.
- W3100701772 cites W2207069478 @default.
- W3100701772 cites W2227274187 @default.
- W3100701772 cites W2340905026 @default.
- W3100701772 cites W2530964153 @default.
- W3100701772 cites W2556828452 @default.
- W3100701772 cites W2560545244 @default.
- W3100701772 cites W2621396233 @default.
- W3100701772 cites W2757217085 @default.
- W3100701772 cites W2765587223 @default.
- W3100701772 cites W2772800714 @default.
- W3100701772 cites W2773387254 @default.
- W3100701772 cites W2794833795 @default.
- W3100701772 cites W2896028834 @default.
- W3100701772 cites W2963284157 @default.
- W3100701772 cites W3098095293 @default.
- W3100701772 cites W3099059051 @default.
- W3100701772 cites W3099349474 @default.
- W3100701772 cites W3099641067 @default.
- W3100701772 cites W3099646067 @default.
- W3100701772 cites W3100139206 @default.
- W3100701772 cites W3100755360 @default.
- W3100701772 cites W3101862440 @default.
- W3100701772 cites W3101972546 @default.
- W3100701772 cites W3102662121 @default.
- W3100701772 cites W3103850807 @default.
- W3100701772 cites W3104092563 @default.
- W3100701772 cites W3104276331 @default.
- W3100701772 cites W3104504071 @default.
- W3100701772 cites W3104582511 @default.
- W3100701772 cites W3104662021 @default.
- W3100701772 cites W3105984128 @default.
- W3100701772 cites W3123158482 @default.
- W3100701772 cites W3123261968 @default.
- W3100701772 cites W4241583691 @default.
- W3100701772 cites W4289728321 @default.
- W3100701772 cites W89208645 @default.
- W3100701772 doi "https://doi.org/10.1088/1538-3873/ab0f7b" @default.
- W3100701772 hasPublicationYear "2019" @default.
- W3100701772 type Work @default.