HOLISMOKES
We carry out a search for strong-lens systems containing high-redshift lens galaxies with the goal of extending strong-lensing-assisted galaxy evolutionary studies to earlier cosmic time. Two strong-lens classifiers are constructed from a deep residual network and trained with datasets of different...
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Published in | Astronomy and astrophysics (Berlin) Vol. 662 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
EDP Sciences
01.06.2022
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Subjects | |
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Abstract | We carry out a search for strong-lens systems containing high-redshift lens galaxies with the goal of extending strong-lensing-assisted galaxy evolutionary studies to earlier cosmic time. Two strong-lens classifiers are constructed from a deep residual network and trained with datasets of different lens-redshift and brightness distributions. We classify a sample of 5 356 628 pre-selected objects from the Wide-layer fields in the second public data release of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) by applying the two classifiers to their HSC gri-filter cutouts. Cutting off at thresholds that correspond to a false positive rate of 10−3 on our test set, the two classifiers identify 5468 and 6119 strong-lens candidates. Visually inspecting the cutouts of those candidates results in 735 grade-A or B strong-lens candidates in total, of which 277 candidates are discovered for the first time. This is the single largest set of galaxy-scale strong-lens candidates discovered with HSC data to date, and nearly half of it (331/735) contains lens galaxies with photometric redshifts above 0.6. Our discoveries will serve as a valuable target list for ongoing and scheduled spectroscopic surveys such as the Dark Energy Spectroscopic Instrument, the Subaru Prime Focus Spectrograph project, and the Maunakea Spectroscopic Explorer. |
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AbstractList | We carry out a search for strong-lens systems containing high-redshift lens galaxies with the goal of extending strong-lensing-assisted galaxy evolutionary studies to earlier cosmic time. Two strong-lens classifiers are constructed from a deep residual network and trained with datasets of different lens-redshift and brightness distributions. We classify a sample of 5 356 628 pre-selected objects from the Wide-layer fields in the second public data release of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) by applying the two classifiers to their HSC gri-filter cutouts. Cutting off at thresholds that correspond to a false positive rate of 10−3 on our test set, the two classifiers identify 5468 and 6119 strong-lens candidates. Visually inspecting the cutouts of those candidates results in 735 grade-A or B strong-lens candidates in total, of which 277 candidates are discovered for the first time. This is the single largest set of galaxy-scale strong-lens candidates discovered with HSC data to date, and nearly half of it (331/735) contains lens galaxies with photometric redshifts above 0.6. Our discoveries will serve as a valuable target list for ongoing and scheduled spectroscopic surveys such as the Dark Energy Spectroscopic Instrument, the Subaru Prime Focus Spectrograph project, and the Maunakea Spectroscopic Explorer. |
Author | Suyu, Sherry H Taubenberger, Stefan Kaiki Taro Inoue Schuldt, Stefan Cañameras, Raoul Jaelani, Anton T Shu, Yiping |
Author_xml | – sequence: 1 givenname: Yiping surname: Shu fullname: Shu, Yiping – sequence: 2 givenname: Raoul surname: Cañameras fullname: Cañameras, Raoul – sequence: 3 givenname: Stefan surname: Schuldt fullname: Schuldt, Stefan – sequence: 4 givenname: Sherry surname: Suyu middlename: H fullname: Suyu, Sherry H – sequence: 5 givenname: Stefan surname: Taubenberger fullname: Taubenberger, Stefan – sequence: 6 fullname: Kaiki Taro Inoue – sequence: 7 givenname: Anton surname: Jaelani middlename: T fullname: Jaelani, Anton T |
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