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• W2967343742 abstract "With the launch of eROSITA (extended Roentgen Survey with an Imaging Telescope Array), successfully occurred on 2019 July 13, we are facing the challenge of computing reliable photometric redshifts for 3 million of active galactic nuclei (AGNs) over the entire sky, having available only patchy and inhomogeneous ancillary data. While we have a good understanding of the photo-z quality obtainable for AGN using spectral energy distribution (SED)-fitting technique, we tested the capability of machine learning (ML), usually reliable in computing photo-z for QSO in wide and shallow areas with rich spectroscopic samples. Using MLPQNA as example of ML, we computed photo-z for the X-ray-selected sources in Stripe 82X, using the publicly available photometric and spectroscopic catalogues. Stripe 82X is at least as deep as eROSITA will be and wide enough to include also rare and bright AGNs. In addition, the availability of ancillary data mimics what can be available in the whole sky. We found that when optical, and near- and mid-infrared data are available, ML and SED fitting perform comparably well in terms of overall accuracy, realistic redshift probability density functions, and fraction of outliers, although they are not the same for the two methods. The results could further improve if the photometry available is accurate and including morphological information. Assuming that we can gather sufficient spectroscopy to build a representative training sample, with the current photometry coverage we can obtain reliable photo-z for a large fraction of sources in the Southern hemisphere well before the spectroscopic follow-up, thus timely enabling the eROSITA science return. The photo-z catalogue is released here." @default.
• W2967343742 created "2019-08-22" @default.
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• W2967343742 date "2019-08-13" @default.
• W2967343742 modified "2023-09-25" @default.
• W2967343742 title "Photometric redshifts for X-ray-selected active galactic nuclei in the eROSITA era" @default.
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• W2967343742 cites W1971781650 @default.
• W2967343742 cites W1990250621 @default.
• W2967343742 cites W1996537612 @default.
• W2967343742 cites W2002620848 @default.
• W2967343742 cites W2011651094 @default.
• W2967343742 cites W2017337590 @default.
• W2967343742 cites W2018619380 @default.
• W2967343742 cites W2023422875 @default.
• W2967343742 cites W2030848761 @default.
• W2967343742 cites W2033909152 @default.
• W2967343742 cites W2046270245 @default.
• W2967343742 cites W2047027551 @default.
• W2967343742 cites W2047970181 @default.
• W2967343742 cites W2049986915 @default.
• W2967343742 cites W2052849543 @default.
• W2967343742 cites W2052937506 @default.
• W2967343742 cites W2056000622 @default.
• W2967343742 cites W2056704807 @default.
• W2967343742 cites W2069928051 @default.
• W2967343742 cites W2072164458 @default.
• W2967343742 cites W2080691528 @default.
• W2967343742 cites W2095855161 @default.
• W2967343742 cites W2103997983 @default.
• W2967343742 cites W2117885077 @default.
• W2967343742 cites W2130638402 @default.
• W2967343742 cites W2148636657 @default.
• W2967343742 cites W2152204644 @default.
• W2967343742 cites W2153478568 @default.
• W2967343742 cites W2159201821 @default.
• W2967343742 cites W2165485212 @default.
• W2967343742 cites W2167335950 @default.
• W2967343742 cites W2183902373 @default.
• W2967343742 cites W2294798173 @default.
• W2967343742 cites W2298287474 @default.
• W2967343742 cites W2300327860 @default.
• W2967343742 cites W2318544463 @default.
• W2967343742 cites W2340905026 @default.
• W2967343742 cites W2469994677 @default.
• W2967343742 cites W2540000810 @default.
• W2967343742 cites W2556828452 @default.
• W2967343742 cites W2614782001 @default.
• W2967343742 cites W2761357494 @default.
• W2967343742 cites W2763857592 @default.
• W2967343742 cites W2772800714 @default.
• W2967343742 cites W2787894218 @default.
• W2967343742 cites W2807789998 @default.
• W2967343742 cites W2878641860 @default.
• W2967343742 cites W2879082681 @default.
• W2967343742 cites W2896028834 @default.
• W2967343742 cites W2900872689 @default.
• W2967343742 cites W2906110180 @default.
• W2967343742 cites W2910565211 @default.
• W2967343742 cites W2911964244 @default.
• W2967343742 cites W2912980501 @default.
• W2967343742 cites W2916699589 @default.
• W2967343742 cites W2950912493 @default.
• W2967343742 cites W2963284157 @default.
• W2967343742 cites W3099268282 @default.
• W2967343742 cites W3099641067 @default.
• W2967343742 cites W3099825985 @default.
• W2967343742 cites W3099870928 @default.
• W2967343742 cites W3100755360 @default.
• W2967343742 cites W3101569333 @default.
• W2967343742 cites W3102648482 @default.
• W2967343742 cites W3103272635 @default.
• W2967343742 cites W3103850807 @default.
• W2967343742 cites W3104062568 @default.
• W2967343742 cites W3104092563 @default.
• W2967343742 cites W3104276331 @default.
• W2967343742 cites W3104575403 @default.
• W2967343742 cites W3105527857 @default.
• W2967343742 cites W3105710165 @default.
• W2967343742 cites W3105984128 @default.
• W2967343742 cites W3125978220 @default.
• W2967343742 cites W4289728321 @default.
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• W2967343742 doi "https://doi.org/10.1093/mnras/stz2159" @default.
• W2967343742 hasPublicationYear "2019" @default.
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