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The last stand before Rubin: semi-automated inverse modelling of galaxy-galaxy strong lensing systems

Published online by Cambridge University Press:  04 March 2024

João Paulo C. França*
Affiliation:
Centro Brasileiro de Pesquisas Fsicas
Martin Makler
Affiliation:
Centro Brasileiro de Pesquisas Fsicas International Center for Advanced Studies & Instituto de Ciencias Fsicas, ECyT-UNSAM & CONICET
Ingrid Beloto
Affiliation:
Instituto de Astronomia, Geofsica e Ciências Atmosféricas, Universidade de São Paulo
Eduardo Cypriano
Affiliation:
Instituto de Astronomia, Geofsica e Ciências Atmosféricas, Universidade de São Paulo
Renan A. Oliveira
Affiliation:
Centro de Ciências Exatas, Universidade Federal do Esprito Santo
Thiago S. Gonçalves
Affiliation:
Observatório do Valongo, Universidade Federal do Rio de Janeiro
James Nightingale
Affiliation:
Department of Physics, Centre for Extragalactic Astronomy, Durham University Department of Physics, Institute for Computational Cosmology, Durham University
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Abstract

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Galaxy-galaxy strong lensing (SL) systems provide a unique opportunity to test modified gravity theories. Deviations from General Relativity are encoded in the post-Newtonian parameter (γ). As a preparation for the upcoming data from the Vera Rubin Observatory Legacy Survey of Space and Time (LSST), our research group collected imaging data of SL systems from ground-based telescopes and conducted spectroscopic observations of 21 systems on the Southern Astrophysical Research (SOAR) Telescope to measure the lens velocity dispersions, σv. We briefly describe the semi-automated SL modelling of the systems in this sample and combine the results with σv from SOAR to derive an estimate for γ. Our preliminary results yield a value of $$\gamma= 1.17_{ - 0.33}^{ + 0.29}$$, which is consistent with General Relativity. Although the error bars are limited by the sample size, this result represents the first constraint on modified gravity obtained purely from ground-based data, with a sample completely independent from previous studies, and which allows for a self consistent end-to-end analysis.

Type
Poster Paper
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of International Astronomical Union

References

Auger, M. W., et al., The Sloan Lens ACS Survey. X. Stellar, dynamical, and total mass correlations of massive early-type galaxies. The Astrophysical Journal 724.1 (2010): 511.CrossRefGoogle Scholar
Birrer, Simon, et al., lenstronomy II:0 A gravitational lensing software ecosystem. Journal of Open Source Software, 6(62), 3283.CrossRefGoogle Scholar
Bolton, Adam S., et al., The BOSS emission-line lens survey. II. Investigating mass-density profile evolution in the SLACS+ BELLS strong gravitational lens sample. The Astrophysical Journal 757.1 (2012): 82.CrossRefGoogle Scholar
Cao, Shuo, et al., Limits on the power-law mass and luminosity density profiles of elliptical galaxies from gravitational lensing systems. Monthly Notices of the Royal Astronomical Society 461.2 (2016): 21922199.CrossRefGoogle Scholar
Etherington, Amy, et al., Automated galaxy-galaxy strong lens modelling: No lens left behind. Monthly notices of the Royal Astronomical Society 517.3 (2022): 32753302.CrossRefGoogle Scholar
Liu, Xiao-Hui, et al., Galaxy-scale test of general relativity with strong gravitational lensing. The Astrophysical Journal 927.1 (2022): 28.CrossRefGoogle Scholar
Nightingale, J. W., Dye, Simon, and Massey, Richard J., AutoLens: automated modeling of a strong lens’s light, mass, and source. Monthly Notices of the Royal Astronomical Society 478.4 (2018): 47384784.CrossRefGoogle Scholar
Nightingale, J. W., et al., PyAutoLens: Open-Source Strong Gravitational Lensing. Journal of Open Source Software, 6(58), 2825.CrossRefGoogle Scholar
Schwab, Josiah, Bolton, Adam S., and Rappaport, Saul A., Galaxy-scale strong-lensing tests of gravity and geometric cosmology: constraints and systematic limitations. The Astrophysical Journal 708.1 (2009): 750.CrossRefGoogle Scholar
Shajib, Anowar J., et al., Dark matter haloes of massive elliptical galaxies at z ∼ 0.2 are well described by the Navarro-Frenk-White profile. Monthly Notices of the Royal Astronomical Society 503.2 (2021): 23802405.CrossRefGoogle Scholar
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