Probing the Expansion history of the Universe by Model-Independent Reconstruction from Supernovae and Gamma-Ray Bursts Measurements
Chao-Jun Feng, Xin-Zhou Li

TL;DR
This paper introduces a model-independent method to reconstruct the Universe's expansion history using PCA and MDS basis systems, analyzing supernovae and gamma-ray burst data to accurately estimate the Hubble rate without cosmological assumptions.
Contribution
It develops a novel, model-independent approach for reconstructing the Universe's expansion history using PCA and MDS basis systems applied to supernovae and GRB data.
Findings
Successfully reconstructs the Hubble expansion rate from observational data.
Eliminates the circular problem in using GRBs as cosmological candles.
Provides a robust parameterization for late Universe evolution studies.
Abstract
To probe the late evolution history of the Universe, we adopt two kinds of optimal basis systems. One of them is constructed by performing the principle component analysis (PCA) and the other is build by taking the multidimensional scaling (MDS) approach. Cosmological observables such as the luminosity distance can be decomposed into these basis systems. These basis are optimized for different kinds of cosmological models that based on different physical assumptions, even for a mixture model of them. Therefore, the so-called feature space that projected from the basis systems is cosmological model independent, and it provide a parameterization for studying and reconstructing the Hubble expansion rate from the supernova luminosity distance and even gamma-ray bursts (GRBs) data with self-calibration. The circular problem when using GRBs as cosmological candles is naturally eliminated in…
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