Median Statistics Estimate of the Distance to the Galactic Center
Tia Camarillo, Varun Mathur, Tyler Mitchell, and Bharat Ratra

TL;DR
This paper analyzes 28 measurements of the distance to the Galactic center, finding non-Gaussian error distributions and proposing a median statistics estimate of 8.0 ± 0.3 kpc as the most reliable value.
Contribution
It introduces a median statistics approach to estimate the Galactic center distance, accounting for non-Gaussian error distributions in measurements.
Findings
Error distributions are wider than Gaussian, fitting an n=4 Student's t distribution.
Median estimate of R0 is 8.0 ± 0.3 kpc, likely the most reliable.
Results suggest non-Gaussian errors in astrophysical measurements.
Abstract
We show that error distributions of a compilation of 28 recent independent measurements of the distance from the Sun to the Galactic center, , are wider than a standard Gaussian and best fit by an Student's probability density function. Given this non-Gaussianity, the results of our median statistics analysis, summarized as kpc ( error), probably provides the most reliable estimate of .
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