大样本恒星演化研究组知识库

The problem of primordial lithium is one of the key issues in many astrophysical fields, especially nuclear astrophysics and cosmology. We apply a novel modern statistical method - the most frequent value (MFV) procedure - to study the distribution modelling for Li-7 abundance observations, constructing a robust and effective astrostatistical algorithm. Considering prior non-Gaussian error distributions of measurements of astrophysical quantities, the robust MFV method is essential as a standard statistical algorithm, according to the minimization for the information loss principle. Associated with global optimization, the MFV procedure has already been shown to be a more powerful tool than some classic statistical algorithms originating from the least-squares or maximum likelihood principle for dealing with the unknown distribution problems of observed astrophysical quantities. Applying the MFV algorithm, we obtain the MFV M = 2.205 and the dihesion epsilon = 0.067 of A(Li) measurements, which demonstrate certain advantages to solving problems with a non-Gaussian error distribution.