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Influence of the Bounds of the Hyperparameters on the Reconstruction of Hubble Constant with Gaussian Process

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arxiv 2105.12618 v1 pith:CVCFXLJA submitted 2021-05-26 astro-ph.CO

Influence of the Bounds of the Hyperparameters on the Reconstruction of Hubble Constant with Gaussian Process

classification astro-ph.CO
keywords hyperparametersinsidehubbleinfluencereconstructionboundsconstantdata
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The cosmological model-independent method Gaussian process (GP) has been widely used in the reconstruction of Hubble constant $H_0$, and the hyperparameters inside GP influence the reconstructed result derived from GP. Different hyperparameters inside GP are used in the constraint of $H_0$ derived from GP with observational Hubble parameter $H(z)$ data (OHD), and the influence of the hyperparameters inside GP on the reconstruction of $H_0$ with GP is discussed. The discussion about the hyperparameters inside GP and the forecasts for future data show that the consideration of the lower and upper bounds on the GP's hyperparameters are necessary in order to get an extrapolated result of $H_0$ from GP reliably and robustly.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Comparative Analysis of EMCEE, Gaussian Process, and Masked Autoregressive Flow in Constraining the Hubble Constant Using Cosmic Chronometers Dataset

    astro-ph.CO 2025-02 conditional novelty 3.0

    EMCEE outperforms GP and MAF in recovering true H0 from mock cosmic chronometer datasets, with GP most sensitive to data points via delete-d jackknife analysis.