Hubble diagram at higher redshifts: Model independent calibration of quasars
Xiaolei Li, Ryan E. Keeley, Arman Shafieloo, Xiaogang Zheng, Shuo Cao,, Marek Biesiada, Zong-Hong Zhu

TL;DR
This paper introduces a model-independent method to calibrate quasars as standard candles using Gaussian process regression, enabling the reconstruction of the universe's expansion history up to redshift 7.5 and testing consistency with the ΛCDM model.
Contribution
It presents a novel calibration technique for quasars that does not rely on cosmological models, allowing for high-redshift expansion history reconstruction and model consistency testing.
Findings
Quasars calibrated as standard candles align with ΛCDM at lower redshifts.
Expansion history reconstructed up to redshift 7.5.
High matter density parameter Ω_m consistent with other observations.
Abstract
In this paper, we present a model-independent approach to calibrate the largest quasar sample. Calibrating quasar samples is essentially constraining the parameters of the linear relation between the of the ultraviolet (UV) and X-ray luminosities. This calibration allows quasars to be used as standardized candles. There is a strong correlation between the parameters characterizing the quasar luminosity relation and the cosmological distances inferred from using quasars as standardized candles. We break this degeneracy by using Gaussian process regression to model-independently reconstruct the expansion history of the Universe from the latest type Ia supernova observations. Using the calibrated quasar dataset, we further reconstruct the expansion history up to redshift of . Finally, we test the consistency between the calibrated quasar sample and the standard…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
