Non-Gaussian Error Distribution of $\rm{^{7}Li}$ Abundance Measurements
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.
Keywords
Cite
@article{arxiv.1409.7332,
title = {Non-Gaussian Error Distribution of $\rm{^{7}Li}$ Abundance Measurements},
author = {Sara Crandall and Stephen Houston and Bharat Ratra},
journal= {arXiv preprint arXiv:1409.7332},
year = {2015}
}
Comments
24 pages, 6 figures, 4 tables