Testing the cosmic distance duality relation with Type Ia supernova and transverse BAO measurements
Min Wang, Xiangyun Fu, Bing Xu, Yang Huang, Ying Yang, and Zhenyan Lu

TL;DR
This study tests the cosmic distance duality relation using transverse BAO and Type Ia supernova data, employing nonparametric methods to avoid biases from prior assumptions, and finds no violation of the relation.
Contribution
It introduces a novel, model-independent method to test the CDDR by marginalizing over a combined nuisance parameter, reducing bias from prior assumptions.
Findings
No violation of the CDDR detected.
Transverse BAO measurements are effective for model-independent CDDR tests.
Biases from prior values of $M_B$ and $r_s$ significantly affect CDDR tests.
Abstract
In this work, we test the cosmic distance duality relation (CDDR) by comparing the angular diameter distance (ADD) derived from the transverse Baryon Acoustic Oscillations (BAO) data with the luminosity distance (LD) from the Pantheon type Ia supernova (SNIa) sample. The binning method and Gaussian process are employed to match ADD data with LD data at the same redshift. First, we use nonparametric and parametric methods to investigate the impact of the specific prior values of the absolute magnitude from SNIa observations and the sound horizon scale from transverse BAO measurements on the CDDR tests. The results obtained from the parametric and non-parametric methods indicate that specific prior values of and lead to significant biases on the CDDR test. Then, to avoid these biases, we propose a method independent of and…
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.
