LensingETC: A Tool to Optimize Multifilter Imaging Campaigns of Galaxy-scale Strong Lensing Systems

被引:3
作者
Shajib, Anowar J. [1 ,2 ]
Glazebrook, Karl [3 ,4 ]
Barone, Tania [3 ,4 ]
Lewis, Geraint F. [5 ]
Jones, Tucker [6 ]
Tran, Kim-Vy H. [4 ,7 ]
Buckley-Geer, Elizabeth [1 ,2 ,8 ]
Collett, Thomas E. [9 ]
Frieman, Joshua [1 ,2 ,8 ]
Jacobs, Colin [3 ,4 ]
机构
[1] Univ Chicago, Dept Astron & Astrophys, Chicago, IL 60637 USA
[2] Univ Chicago, Kavli Inst Cosmol Phys, Chicago, IL 60637 USA
[3] Swinburne Univ Technol, Ctr Astrophys & Supercomp, Hawthorn, Vic 3122, Australia
[4] ARC Ctr Excellence All Sky Astrophys 3D ASTRO 3D, Canberra, ACT, Australia
[5] Univ Sydney, Sch Phys, Sydney Inst Astron, A28, Sydney, NSW 2006, Australia
[6] Univ Calif Davis, Dept Phys, 1 Shields Ave, Davis, CA 95616 USA
[7] Univ New South Wales, Sch Phys, Kensington, NSW, Australia
[8] Fermilab Natl Accelerator Lab, POB 500, Batavia, IL 60510 USA
[9] Univ Portsmouth, Inst Cosmol & Gravitat, Portsmouth PO1 3FX, Hants, England
基金
美国国家科学基金会; 欧洲研究理事会;
关键词
LENSES; SAMPLE;
D O I
10.3847/1538-4357/ac927b
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Imaging data is the principal observable required to use galaxy-scale strong lensing in a multitude of applications in extragalactic astrophysics and cosmology. In this paper, we develop Lensing Exposure Time Calculator (LENSINGETC; https://github.com/ajshajib/LensingETC) to optimize the efficiency of telescope-time usage when planning multifilter imaging campaigns for galaxy-scale strong lenses. This tool simulates realistic data tailored to specified instrument characteristics and then automatically models them to assess the power of the data in constraining lens model parameters. We demonstrate a use case of this tool by optimizing a two-filter observing strategy (in the IR and ultraviolet-visual (UVIS)) within the limited exposure time per system allowed by a Hubble Space Telescope (HST) Snapshot program. We find that higher resolution is more advantageous to gain constraining power on the lensing observables, when there is a trade-off between signal-to-noise ratio and resolution; for example, between the UVIS and IR filters of the HST. We also find that, whereas a point-spread function (PSF) with sub-Nyquist sampling allows the sample mean for a model parameter to be robustly recovered for both galaxy-galaxy and point-source lensing systems, a sub-Nyquist-sampled PSF introduces a larger scatter than a Nyquist-sampled one in the deviation from the ground truth for point-source lens systems.
引用
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页数:8
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