Determining cosmological-model-independent $H_0$ and post-Newtonian parameter with time-delay lenses and supernovae
Tonghua Liu, Kai Liao

TL;DR
This paper presents a model-independent method using strong lensing and supernovae data to simultaneously constrain the Hubble constant and post-Newtonian parameter, testing General Relativity without assuming a specific cosmological model.
Contribution
It introduces a novel, model-independent approach combining Gaussian process regression with lensing and supernova data to test GR and measure cosmological parameters.
Findings
H_0 measured as 72.9^{+2.0}_{-2.3} km/s/Mpc
Post-Newtonian parameter γ_{PPN} estimated as 0.89^{+0.17}_{-0.15}
No significant deviation from General Relativity within observational uncertainties
Abstract
Strong gravitational lensing provides a natural opportunity to test General Relativity (GR). We propose a model-independent method for simultaneous constraining on Hubble constant () and post-Newtonian parameter () using strong lensing systems and observational SNe Ia. The time-delay measurements from strong lesning can directly determine the Hubble constant, and the lens distance inferred from the spectroscopic measurement of the stellar kinematics of the deflector galaxy can help us to constrain the post-Newtonian parameter. We seek the Pantheon dataset and reconstruct unanchored distances using Gaussian process regression to achieve the cosmological model-independent GR testing instead of assuming a specific model, which can reduce possible bias on GR testing and measurement of Hubble constant. Combining the reconstructed unanchored distances and the four…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Statistical and numerical algorithms · Adaptive optics and wavefront sensing
