PMO OpenIR
Prediction of Supernova Rates in Known Galaxy-Galaxy Strong-lens Systems
Shu, Yiping1,2; Bolton, Adam S.3; Mao, Shude4,5,6,7; Kang, Xi1; Li, Guoliang1; Soraisam, Monika3
2018-09-01
Source PublicationASTROPHYSICAL JOURNAL
ISSN0004-637X
Volume864Issue:1Pages:13
Abstract

We propose a new strategy of finding strongly lensed supernovae (SNe) by monitoring known galaxy-scale strong-lens systems. Strongly lensed SNe are potentially powerful tools for the study of cosmology, galaxy evolution, and stellar populations, but they are extremely rare. By targeting known strongly lensed star-forming galaxies, our strategy significantly boosts the detection efficiency for lensed SNe compared to a blind search. As a reference sample, we compile the 128 galaxy-galaxy strong-lens systems from the Sloan Lens ACS Survey (SLACS), the SLACS for the Masses Survey, and the Baryon Oscillation Spectroscopic Survey Emission-Line Lens Survey. Within this sample, we estimate the rates of strongly lensed Type Ia SN (SNIa) and core-collapse SN (CCSN) to be 1.23 +/- 0.12 and 10.4 +/- 1.1 events per year, respectively. The lensed SN images are expected to be widely separated with a median separation of 2 arcsec. Assuming a conservative fiducial lensing magnification factor of 5 for the most highly magnified SN image, we forecast that a monitoring program with a single-visit depth of 24.7 mag (5 sigma point source, r band) and a cadence of 5 days can detect 0.49 strongly lensed SNIa event and 2.1 strongly lensed CCSN events per year within this sample. Our proposed targeted-search strategy is particularly useful for prompt and efficient identifications and follow-up observations of strongly lensed SN candidates. It also allows telescopes with small fields of view and limited time to efficiently discover strongly lensed SNe with a pencil-beam scanning strategy.

Keywordcosmology: observations gravitational lensing: strong supernovae: general
DOI10.3847/1538-4357/aad5ea
WOS KeywordSTAR-FORMATION RATE ; INITIAL MASS FUNCTION ; DIGITAL SKY SURVEY ; SPECTROSCOPICALLY SELECTED SAMPLE ; BARYON ACOUSTIC-OSCILLATIONS ; SCALE GRAVITATIONAL LENSES ; FORMATION RATE INDICATORS ; DELAY-TIME DISTRIBUTION ; LUMINOUS RED GALAXIES ; II-P SUPERNOVAE
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000443814100005
PublisherIOP PUBLISHING LTD
Citation statistics
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/21408
Collection中国科学院紫金山天文台
Corresponding AuthorShu, Yiping
Affiliation1.Chinese Acad Sci, Purple Mt Observ, 2 West Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China
2.Univ Cambridge, Inst Astron, Madingley Rd, Cambridge CB3 0HA, England
3.Natl Opt Astron Observ, 950 N Cherry Ave, Tucson, AZ 85719 USA
4.Tsinghua Univ, Dept Phys, Beijing 100084, Peoples R China
5.Tsinghua Univ, Tsinghua Ctr Astrophys, Beijing 100084, Peoples R China
6.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China
7.Univ Manchester, Sch Phys & Astron, Jodrell Bank Ctr Astrophys, Oxford Rd, Manchester M13 9PL, Lancs, England
Recommended Citation
GB/T 7714
Shu, Yiping,Bolton, Adam S.,Mao, Shude,et al. Prediction of Supernova Rates in Known Galaxy-Galaxy Strong-lens Systems[J]. ASTROPHYSICAL JOURNAL,2018,864(1):13.
APA Shu, Yiping,Bolton, Adam S.,Mao, Shude,Kang, Xi,Li, Guoliang,&Soraisam, Monika.(2018).Prediction of Supernova Rates in Known Galaxy-Galaxy Strong-lens Systems.ASTROPHYSICAL JOURNAL,864(1),13.
MLA Shu, Yiping,et al."Prediction of Supernova Rates in Known Galaxy-Galaxy Strong-lens Systems".ASTROPHYSICAL JOURNAL 864.1(2018):13.
Files in This Item:
File Name/Size DocType Version Access License
2018-IR-86.pdf(709KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shu, Yiping]'s Articles
[Bolton, Adam S.]'s Articles
[Mao, Shude]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shu, Yiping]'s Articles
[Bolton, Adam S.]'s Articles
[Mao, Shude]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shu, Yiping]'s Articles
[Bolton, Adam S.]'s Articles
[Mao, Shude]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2018-IR-86.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.