paper

Non-Gaussian Error Distribution of Abundance Measurements

arXiv:1409.7332 · doi:10.1142/S0217732315501230

Abstract

We construct the error distribution of abundance measurements for 66 observations (with error bars) used by Spite12 that give (median and 1 symmetrized error). This error distribution is somewhat non-Gaussian, with larger probability in the tails than is predicted by a Gaussian distribution. The 95.4% confidence limits are 3.0 in terms of the quoted errors. We fit the data to four commonly used distributions: Gaussian, Cauchy, Student's t, and double exponential with the center of the distribution found with both weighted mean and median statistics. It is reasonably well described by a widened Student's distribution. Assuming Gaussianity, the observed A(Li) is 6.5 away from that expected from standard Big Bang nucleosynthesis given the observations Coc2014. Accounting for the non-Gaussianity of the observed A(Li) error distribution reduces the discrepancy to 4.9, which is still significant.

24 pages, 6 figures, 4 tables

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