J/A+A/662/A4 Strong-lens candidates from HSC-SSP PDR2 (Shu+, 2022)
HOLISMOKES. VIII. High-redshift, strong-lens search in the Hyper Suprime-Cam
Subaru Strategic Program.
Shu Y., Canameras R., Schuldt S., Suyu S.H., Taubenberger S., Inoue K.T.,
Jaelani A.T.
<Astron. Astrophys. 662, A4 (2022)>
=2022A&A...662A...4S 2022A&A...662A...4S (SIMBAD/NED BibCode)
ADC_Keywords: Gravitational lensing; Surveys; Redshifts; Photometry, ugriz
Keywords: Galaxy: evolution - gravitational lensing: strong -
methods: data analysis
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 5356628 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 5,468 and 6,119 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.
Description:
table B1 contains a complete list of 105 grade-A strong-lens
candidates discovered by deep residual networks from the second data
release of the Hyper Suprime-Cam Subaru Strategic Program.
table B2 contains a complete list of 630 grade-B strong-lens
candidates discovered by deep residual networks from the second data
release of the Hyper Suprime-Cam Subaru Strategic Program.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
tableb1.dat 90 105 Grade-A strong-lens candidates
tableb2.dat 90 630 Grade-B strong-lens candidates
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See also:
J/A+A/644/A163 : Pan-STARRS lens candidates from neural networks
(Canameras+ 2020)
J/A+A/653/L6 : HSC-SSP lens candidates from neural networks
(Canameras+, 2021)
Byte-by-byte Description of file: tableb1.dat tableb2.dat
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Bytes Format Units Label Explanations
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1- 17 A17 --- Name System name, HSCJHHMMSS+DDMMSS
19- 27 F9.5 deg RAdeg Right Ascension (J2000)
29- 37 F9.5 deg DEdeg Declination (J2000)
39- 43 F5.2 mag imag HSC-reported i-band CModel magnitude (AB)
of the lens galaxy
45- 48 F4.2 --- zdp HSC-reported photometric redshift
of the lens galaxy
50- 53 F4.2 --- e_zdp HSC-reported photometric redshift error
of the lens galaxy
55- 61 F7.3 --- zds ?=-99 Spectroscopic redshift
of the lens galaxy (1)
63- 69 F7.3 --- zss ?=-99 Spectroscopic redshift
of the source galaxy (1)
71- 73 A3 --- Class Classifier(s) that finds the system
75- 77 F3.1 --- Score Average visual inspection score
79- 90 A12 --- Ref Paper that first discovered this system (2)
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Note (1): -99.0 indicates that the spectroscopic redshift is not available
Note (2): The discovery papers as follows:
Brownstein12 = Brownstein et al., 2012ApJ...744...41B 2012ApJ...744...41B
C21 = Canameras et al., 2021A&A...653L...6C 2021A&A...653L...6C, Cat. J/A+A/653/L6
Diehl17 = Diehl et al., 2017ApJS..232...15D 2017ApJS..232...15D, Cat. J/ApJS/232/15
Huang20 = Huang et al., 2020ApJ...894...78H 2020ApJ...894...78H
Huang21 = Huang et al., 2021ApJ...909...27H 2021ApJ...909...27H
Jacobs17 = Jacobs et al., 2017MNRAS.471..167J 2017MNRAS.471..167J
Jacobs19b = Jacobs et al., 2019MNRAS.484.5330J 2019MNRAS.484.5330J
Li20 = Li et al., 2020ApJ...899...30L 2020ApJ...899...30L
More12 = More et al., 2012ApJ...749...38M 2012ApJ...749...38M, Cat. J/ApJ/749/38
More16 = More et al., 2016MNRAS.455.1191M 2016MNRAS.455.1191M
More17 = More et al., 2017MNRAS.465.2411M 2017MNRAS.465.2411M
Petrillo19 = Petrillo et al., 2019MNRAS.484.3879P 2019MNRAS.484.3879P
Ratnatunga95 = Ratnatunga et al., 1995ApJ...453L...5R 1995ApJ...453L...5R
Shu16 = Shu et al., 2016ApJ...824...86S 2016ApJ...824...86S, Cat. J/ApJ/824/86
Shu22 = A new discovery by this paper
Sonnenfeld13 = Sonnenfeld et al., 2013ApJ...777...97S 2013ApJ...777...97S, Cat. J/ApJ/777/97
Stark13 = Stark et al., 2013MNRAS.436.1040S 2013MNRAS.436.1040S
Stein21 = Stein et al. 2021, arXiv:2110.00023
SuGOHI-1 = Sonnenfeld et al., 2018PASJ...70S..29S 2018PASJ...70S..29S
SuGOHI-2 = Wong et al., 2018ApJ...867..107W 2018ApJ...867..107W
SuGOHI-4 = Chan et al., 2020A&A...636A..87C 2020A&A...636A..87C
SuGOHI-5 = Jaelani et al., 2020MNRAS.495.1291J 2020MNRAS.495.1291J
SuGOHI-6 = Sonnenfeld et al., 2020A&A...642A.148S 2020A&A...642A.148S, Cat. J/A+A/642/A148
Sun = Candidates identified by Guoyou Sun and presented on his
personal website http://sunguoyou.lamost.org/glc.html
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Acknowledgements:
Yiping Shu, ypshu(at)mpa-garching.mpg.de
References:
Suyu et al., Paper I 2020A&A...644A.162S 2020A&A...644A.162S
Canameras et al. Paper II 2020A&A...644A.163C 2020A&A...644A.163C, Cat. J/A+A/644/A163
Huber et al. Paper III 2021A&A...646A.110H 2021A&A...646A.110H
Schuldt et al. Paper IV 2021A&A...646A.126S 2021A&A...646A.126S
Bayer et al. Paper V 2021A&A...653A..29B 2021A&A...653A..29B
Canameras et al. Paper VI 2021A&A...653L...6C 2021A&A...653L...6C, Cat. J/A+A/653/L6
Huber et al. Paper VII 2022A&A...658A.157H 2022A&A...658A.157H
(End) Patricia Vannier CDS 30-Mar-2022