Big-Bang Nucleosynthesis verifies classical Maxwell-Boltzmann distribution
S.Q. Hou, J.J. He, A. Parikh, K. Daid, C. Bertulani

TL;DR
This paper constrains deviations from the Maxwell-Boltzmann distribution in Big-Bang Nucleosynthesis, showing that non-extensive statistics must be very close to classical to match observed primordial abundances, with implications for astrophysics.
Contribution
It provides the most stringent limit on non-extensive statistical deviations in BBN, highlighting the sensitivity of reaction rates to the parameter q.
Findings
Deviations from Maxwell-Boltzmann are constrained to |δq|=6×10^{-4}.
Endothermic reaction rates are highly sensitive to q.
Non-extensive effects could influence heavy element nucleosynthesis.
Abstract
We provide the most stringent constraint to date on possible deviations from the usually-assumed Maxwell-Boltzmann (MB) velocity distribution for nuclei in the Big-Bang plasma. The impact of non-extensive Tsallis statistics on thermonuclear reaction rates involved in standard models of Big-Bang Nucleosynthesis (BBN) has been investigated. We find that the non-extensive parameter may deviate by, at most, =610 from unity for BBN predictions to be consistent with observed primordial abundances; =1 represents the classical Boltzmann-Gibbs statistics. This constraint arises primarily from the {\em super}sensitivity of endothermic rates on the value of , which is found for the first time. As such, the implications of non-extensive statistics in other astrophysical environments should be explored. This may offer new insight into the nucleosynthesis of heavy…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputational Physics and Python Applications
