Primordial Nucleosynthesis with Non-Extensive Statistics
C.A. Bertulani, Shubhchintak

TL;DR
This paper investigates Big Bang nucleosynthesis using Tsallis non-extensive statistics, finding improved agreement for some light elements but highlighting ongoing discrepancies, especially for deuterium.
Contribution
It introduces a novel application of non-extensive statistics to BBN, offering potential insights into the lithium abundance puzzle.
Findings
Good agreement for 4He, 3He, and 7Li abundances
Deuterium abundance remains inconsistent with observations
Non-extensive parameter q influences element predictions
Abstract
The conventional Big Bang model successfully anticipates the initial abundances of 2H(D), 3He, and 4He, aligning remarkably well with observational data. However, a persistent challenge arises in the case of 7Li, where the predicted abundance exceeds observations by a factor of approximately three. Despite numerous efforts employing traditional nuclear physics to address this incongruity over the years, the enigma surrounding the lithium anomaly endures. In this context, we embark on an exploration of Big Bang nucleosynthesis (BBN) of light element abundances with the application of Tsallis non-extensive statistics. A comparison is made between the outcomes obtained by varying the non-extensive parameter q away from its unity value and both observational data and abundance predictions derived from the conventional big bang model. A good agreement is found for the abundances of 4He, 3He…
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Taxonomy
TopicsComputational Physics and Python Applications
