2026-10-12T16:43:07Z https://www.scidb.cn/oai

10.57760/sciencedb.41486 2026-07-03T11:31:07Z

2026-07-03 CDDR-Test: Testing Cosmic Distance Duality Relation and transparency with DESI DR2 doi:10.57760/sciencedb.41486 en Including data, code, chains and figures published in the CDDR_Test repository of paper arXiv:2506.17926.This repository implements an analysis pipeline to test the Etherington reciprocity theorem (η = D_L / [(1+z)² D_A] = 1) by combining DESI BAO measurements with Pantheon+ Type Ia Supernovae data. The framework uses Free-Knots Method (FKM) and Gaussian Process Regression (GPR) with multiple kernel choices (RBF, Matérn, RQ, DSE) to reconstruct cosmological distances without assuming a specific cosmological model. It mainly includes:Data Processing (data-process.ipynb): Kernel selection and redshift matching between BAO and SN data η Measurement (cddr-measurement.ipynb): Testing the distance duality relation with different M_B priors Parametric Constraints (parametric-constraints.ipynb): Joint cosmological parameter estimation Transparency Tests (transparency.ipynb, ALPandMCP.ipynb): Searching for deviations from η = 1 that could indicate photon-axion conversion or other non-transparent effects baryon acoustic oscillations; cosmological parameters from LSS; galaxy surveys; supernova type Ia - standard candles Xuwei Zhang Xiaofeng Yang Yunliang Ren Shuangnan Chen Yangjun Shi Cheng Cheng Ming Zhang Xiaolong He PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset http://www.doi.org/10.1088/1475-7516/2026/06/012 Science Data Bank