Jitter-based method for Hubble function reconstruction

Authors

  • J.C. Albert Peralta ⋅ PH Independent Researcher, Philippines
  • Reinabelle Reyes ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Reginald Christian Bernardo ⋅ TW Institute of Physics, Academia Sinica

Abstract

The application of noncanonical statistical methods in cosmology have gained popularity lately, in particular as a way to independently assess the tensions in the standard cosmological model. In line with this, we introduce 'jitter reconstruction' (JR) as a means of taking into consideration the uncertainties in the data set, and apply this to test the robustness of standard curve-fitting together with mock expansion rate samples. Using this method, we reconstructed the Hubble function and compared this with the result from the more commonly-used Gaussian processes method. We present fair conclusions regarding the size of the resulting uncertainties, but also discuss the limitations anchored on the present work.

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Issue

Article ID

SPP-2023-2D-03

Section

Cosmology and Astrophysics

Published

2023-07-03

How to Cite

[1]
JA Peralta, R Reyes, and RC Bernardo, Jitter-based method for Hubble function reconstruction, Proceedings of the Samahang Pisika ng Pilipinas 41, SPP-2023-2D-03 (2023). URL: https://proceedings.spp-online.org/article/view/SPP-2023-2D-03.