Measurements of the Hubble constant from combinations of supernovae and radio quasars
Tonghua Liu, Xiyan Yang, Zisheng Zhang, Jieci Wang, Marek Biesiada

TL;DR
This paper introduces a model-independent method combining supernovae and radio quasars to measure the Hubble constant, achieving 1% precision and consistent with local universe measurements, with no detected redshift-dependent bias.
Contribution
The study develops an improved, model-independent approach using neural networks to combine supernova and radio quasar data for precise Hubble constant estimation.
Findings
H0 measured as approximately 73.5 km/s/Mpc with 1% precision
Results are consistent with local measurements from SH0ES and H0LiCOW
No significant redshift-dependent systematic effects detected
Abstract
In this letter, we propose an improved cosmological model independent method of determining the value of the Hubble constant . The method uses unanchored luminosity distances from SN Ia Pantheon data combined with angular diameter distances from a sample of intermediate luminosity radio quasars calibrated as standard rulers. The distance duality relation between and , which is robust and independent of any cosmological model, allows to disentangle from such combination. However, the number of redshift matched quasars and SN Ia pairs is small (37 data-points). Hence, we take an advantage from the Artificial Neural Network (ANN) method to recover the relation from a network trained on full 120 radio quasar sample. In this case, the result is unambiguously consistent with values of obtained from local probes by SH0ES and…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Statistical and numerical algorithms · Astronomy and Astrophysical Research
