Forecast of strongly lensed supernovae rates in the China Space Station Telescope surveys

被引:0
|
作者
Dong, Jiang [1 ,2 ]
Shu, Yiping [1 ]
Li, Guoliang [1 ]
Er, Xinzhong [3 ]
Hu, Bin [4 ,6 ]
Xu, Youhua [5 ]
机构
[1] Chinese Acad Sci, Purple Mt Observ, Nanjing 210023, Peoples R China
[2] Univ Sci & Technol China, Sch Astron & Space Sci, Hefei 230026, Anhui, Peoples R China
[3] Yunnan Univ, South Western Inst Astron Res, Kunming 650504, Yunnan, Peoples R China
[4] Beijing Normal Univ, Inst Frontier Astron & Astrophys, Beijing 102206, Peoples R China
[5] Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
[6] Natl Astron Observ, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
gravitational lensing: strong; methods: numerical; methods: statistical; surveys; supernovae: general; cosmological parameters; IA SUPERNOVAE; LIGHT CURVES; SUPERLUMINOUS SUPERNOVAE; HUBBLE CONSTANT; SKY SURVEY; COSMOLOGICAL CONSTRAINTS; TIME DELAYS; GALAXIES; STAR; DISTRIBUTIONS;
D O I
10.1051/0004-6361/202450838
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Strong gravitationally lensed supernovae (SNe) are a powerful probe for cosmology and stellar physics. The relative time delays between lensed SN images provide an independent way of measuring a fundamental cosmological parameter - the Hubble constant -, the value of which is currently under debate. The time delays also serve as a "time machine", offering a unique opportunity to capture the extremely early phase of the SN explosion, which can be used to constrain the SN progenitor and explosion mechanism. Although there are only a handful of strongly lensed SN discoveries so far, which greatly hinders scientific applications, the sample size is expected to grow substantially with next-generation surveys. In this work, we investigate the capability of detecting strongly lensed SNe with the China Space Station Telescope (CSST), a two-meter space telescope to be launched around 2026. Through Monte Carlo simulations, we predict that CSST can detect 1008.53 and 51.78 strongly lensed SNe from its Wide Field Survey (WFS, covering 17 500 deg(2)) and Deep Field Survey (DFS, covering 400 deg(2)) over the course of ten years. In both surveys, about 35% of the events involve Type Ia SNe as the background sources. Our results suggest that the WFS and DFS of CSST, although not designed or optimized for discovering transients, can still make a great contribution to the strongly lensed SNe studies.
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页数:13
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