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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

Abstract

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

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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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