Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) - V. Group-to-cluster scale lens search from the HSC-SSP survey
| العنوان: | Survey of Gravitationally lensed Objects in HSC Imaging (SuGOHI) - V. Group-to-cluster scale lens search from the HSC-SSP survey |
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| المؤلفون: | Sherry H. Suyu, Issha Kayo, Alessandro Sonnenfeld, Kenneth C. Wong, Toshifumi Futamase, Cristian E. Rusu, Anton T. Jaelani, Anupreeta More, Jean Coupon, James H. H. Chan, Chien-Hsiu Lee, Masamune Oguri, Kaiki Taro Inoue, D. C. Y. Chao |
| المصدر: | Monthly Notices of the Royal Astronomical Society Monthly Notices of the Royal Astronomical Society, 495(1), 1291-1310 |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | ii, candidates, FOS: Physical sciences, Scale (descriptive set theory), Astrophysics, acs survey, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, law.invention, Gravitation, surveys, law, 0103 physical sciences, Cluster (physics), early-type galaxies, 010303 astronomy & astrophysics, Galaxy cluster, Astrophysics::Galaxy Astrophysics, Physics, substructure, 010308 nuclear & particles physics, Group (mathematics), gravitational lensing: strong, Astronomy and Astrophysics, space warps, initial mass function, Astrophysics - Astrophysics of Galaxies, Redshift, Lens (optics), dark-matter, Space and Planetary Science, galaxies: clusters: general, kinematics, Astrophysics of Galaxies (astro-ph.GA), methods: observational, Data release, discovery |
| الوصف: | We report the largest sample of candidate strong gravitational lenses belonging to the Survey of Gravitationally-lensed Objects in HSC Imaging for group-to-cluster scale (SuGOHI-c) systems. These candidates are compiled from the S18A data release of the Hyper Suprime-Cam Subaru Strategic Program (HSC-SSP) Survey. We visually inspect $\sim39,500$ galaxy clusters, selected from several catalogs, overlapping with the Wide, Deep, and UltraDeep fields, spanning the cluster redshift range $0.05 Comment: Accepted for publication in MNRAS, 19 pages, 11 figures |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f1ee73ef2bf02a9ed133a709e923f99 https://hdl.handle.net/1887/3142046 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....8f1ee73ef2bf02a9ed133a709e923f99 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |