Verification of Maxwell-Boltzmann distribution with Big-Bang Nucleosyntheis theory
S.Q. Hou, J.J. He, and others

TL;DR
This study verifies the Maxwell-Boltzmann distribution's validity in Big-Bang Nucleosynthesis by analyzing the impact of non-extensive statistics, finding only minimal deviations are permissible for the classical distribution.
Contribution
First, it assesses the effect of non-extensive Tsallis statistics on thermonuclear reaction rates in BBN; second, it confirms the Maxwell-Boltzmann distribution's microscopic validity within BBN.
Findings
Reverse reaction rates are highly sensitive to the non-extensive q parameter.
Only a tiny deviation of ±6×10^{-4} from MB distribution is allowed based on primordial abundance observations.
Classical Maxwell-Boltzmann statistics are validated within the BBN environment.
Abstract
The current Big-Bang Nucleosynthesis (BBN) model has been constructed based on a nuclear reaction network operating with thermal reactivities of Maxwell-Boltzmann (MB) distribution plasma. However, does the classical MB distribution still hold for the extremely high-temperature (in order of 10 K) plasma involved in the Big-Bang environment? In this work, we have investigated the impact of non-extensive Tsallis statistics (in -Guassian distribution) on the thermonuclear reaction rates. We show for the first time that the reverse rates are extremely sensitive to the non-extensive parameter. Such sensitivity does not allow a large deviation of non-extensive distribution from the usual MB distribution. With a newly developed BBN code, the impact of primordial light-element abundances on values has been studied by utilizing the most recent BBN cosmological parameters and the…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Probability and Statistical Research · High-Energy Particle Collisions Research
