LensingETC: a tool to optimize multifilter imaging campaigns of galaxy-scale strong lensing systems

Anowar J. Shajib; Karl Glazebrook; Tania Barone; Geraint F. Lewis; Tucker Jones; Kim Vy H. Tran; Elizabeth Buckley-Geer; Thomas E. Collett; Joshua Frieman; Colin Jacobs

doi:10.3847/1538-4357/ac927b

LensingETC: a tool to optimize multifilter imaging campaigns of galaxy-scale strong lensing systems

Anowar J. Shajib, Karl Glazebrook, Tania Barone, Geraint F. Lewis, Tucker Jones, Kim Vy H. Tran, Elizabeth Buckley-Geer, Thomas E. Collett, Joshua Frieman, Colin Jacobs

Research output: Contribution to journal › Article › peer-review

48 Downloads (Pure)

Abstract

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.

Original language	English
Article number	141
Number of pages	8
Journal	Astrophysical Journal
Volume	938
Issue number	2
DOIs	https://doi.org/10.3847/1538-4357/ac927b
Publication status	Published - 21 Oct 2022

Access to Document

10.3847/1538-4357/ac927b

LensingETC PDFFinal published version, 1.21 MBLicence: CC BY

Cite this

@article{0f861c6f2f9a489b94305d53855b79c3,

title = "LensingETC: a tool to optimize multifilter imaging campaigns of galaxy-scale strong lensing systems",

abstract = "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.",

author = "Shajib, {Anowar J.} and Karl Glazebrook and Tania Barone and Lewis, {Geraint F.} and Tucker Jones and Tran, {Kim Vy H.} and Elizabeth Buckley-Geer and Collett, {Thomas E.} and Joshua Frieman and Colin Jacobs",

note = "Funding Information: We thank Simon Birrer and the anonymous referee for helpful comments that improved this manuscript. Support for this work was provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51492 awarded to A.J.S. by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. T.J. gratefully acknowledges funding support from the Gordon and Betty Moore Foundation through Grant GBMF8549, from NASA through grant HST-GO-16773.002-A, from the National Science Foundation through grant AST-2108515, and from a Dean's Faculty Fellowship. T.E.C. is funded by a Royal Society University Research Fellowship and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (LensEra: grant agreement No. 945536). Publisher Copyright: {\textcopyright} 2022. The Author(s). Published by the American Astronomical Society.",

year = "2022",

month = oct,

day = "21",

doi = "10.3847/1538-4357/ac927b",

language = "English",

volume = "938",

journal = "Astrophysical Journal",

issn = "0004-637X",

publisher = "IOP Publishing",

number = "2",

}

TY - JOUR

T1 - LensingETC

T2 - a tool to optimize multifilter imaging campaigns of galaxy-scale strong lensing systems

AU - Shajib, Anowar J.

AU - Glazebrook, Karl

AU - Barone, Tania

AU - Lewis, Geraint F.

AU - Jones, Tucker

AU - Tran, Kim Vy H.

AU - Buckley-Geer, Elizabeth

AU - Collett, Thomas E.

AU - Frieman, Joshua

AU - Jacobs, Colin

N1 - Funding Information: We thank Simon Birrer and the anonymous referee for helpful comments that improved this manuscript. Support for this work was provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51492 awarded to A.J.S. by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. T.J. gratefully acknowledges funding support from the Gordon and Betty Moore Foundation through Grant GBMF8549, from NASA through grant HST-GO-16773.002-A, from the National Science Foundation through grant AST-2108515, and from a Dean's Faculty Fellowship. T.E.C. is funded by a Royal Society University Research Fellowship and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (LensEra: grant agreement No. 945536). Publisher Copyright: © 2022. The Author(s). Published by the American Astronomical Society.

PY - 2022/10/21

Y1 - 2022/10/21

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85140873654&partnerID=8YFLogxK

U2 - 10.3847/1538-4357/ac927b

DO - 10.3847/1538-4357/ac927b

M3 - Article

AN - SCOPUS:85140873654

SN - 0004-637X

VL - 938

JO - Astrophysical Journal

JF - Astrophysical Journal

IS - 2

M1 - 141

ER -

LensingETC: a tool to optimize multifilter imaging campaigns of galaxy-scale strong lensing systems

Abstract

Access to Document

Fingerprint

Cite this