Revisiting the effect of lens mass models in cosmological applications of strong gravitational lensing

• Published in: arXiv.org
• Main Authors: Harvey-Hawes, Christopher, Wiltshire, David L
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 06.10.2024
• Subjects: Astronomical models; Bayesian analysis; Constraint modelling; Cosmic microwave background; Cosmology; Curvature; Goodness of fit; Gravitational lenses; Image resolution; Markov chains; Monte Carlo simulation; Parameters; Physics - Astrophysics of Galaxies; Physics - Cosmology and Nongalactic Astrophysics; Physics - General Relativity and Quantum Cosmology; Physics - High Energy Physics - Phenomenology; Power law; Void fraction
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2403.11997

Strong gravitational lens system catalogues are typically used to constrain a combination of cosmological and empirical power-law lens mass model parameters, often introducing additional empirical parameters and constraints from high resolution imagery. We investigate these lens models using Bayesian methods through a novel alternative that treats spatial curvature via the non-FLRW timescape cosmology. We apply Markov Chain Monte Carlo methods using the catalogue of 161 lens systems of Chen et al (arXiv:1809.09845) in order to constrain both lens and cosmological parameters for: (i) the standard \(\Lambda\)CDM model with zero spatial curvature; and (ii) the timescape model. We then generate large mock data sets to further investigate the choice of cosmology on fitting simple power-law lens models. In agreement with previous results, we find that in combination with single isothermal sphere parameters, models with zero FLRW spatial curvature fit better as the free parameter approaches an unphysical empty universe, \(\Omega_{\mathrm M0}\to0\). By contrast, the timescape cosmology is found to prefer parameter values in which its cosmological parameter, the present void fraction, is driven to \(f_{\mathrm v0}\to0.73\) and closely matches values that best fit independent cosmological data sets: supernovae Ia distances and the cosmic microwave background. This conclusion holds for a large range of seed values \(f_{\mathrm v0}\in\{0.1,0.9\}\), and for timescape fits to both timescape and FLRW mocks. Regardless of cosmology, unphysical estimates of the distance ratios given from power-law lens models result in poor goodness of fit. With larger datasets soon available, separation of cosmology and lens models must be addressed.