Analysis of Several Basic Formulae of Statistical Methods in Cosmology
DOI:
https://doi.org/10.54097/n6855t53Keywords:
Statistical method, cosmology, virial theorem, Poisson-Vlasov equations, Liouville’s theorem.Abstract
As a matter of fact, statistic methods are widely applied in astrophysics in various aspects including particle motions, Big Bang theory, observations, and so on. With this in mind, this article focuses on statistical methods in cosmology. On this basis, the study aims to throw new light on understanding of these theorems. To be specific, it first discusses the history of statistical methods applied in physics especially in cosmology. In the main part, the paper analyzes some basic statistical theorems by modifying a current version of proof, or refining the proof through detailed analysis. For each analyzed formula, the paper introduces some recent applications in order to offer a better understanding of its applications in cosmology. In addition, the findings also suggest that even for proven theorems, the proof process still has room for optimization and improvements. Overall, this study comprehends the understanding of statistical methods in cosmology as well as sheds light on guiding further simplification and derivation of theoretical astrophysics.
Downloads
References
Kuhlen M, Vogelsberger M, Angulo R. Numerical simulations of the dark universe: State of the art and the next decade. Physics of the Dark Universe, 2012, 1 (1-2): 50 - 93.
Pillepich A, Springel V, Nelson D, et al. Simulating galaxy formation with the IllustrisTNG model. Monthly Notices of the Royal Astronomical Society, 2018, 473 (3): 4077 - 4106.
Kannan R, Garaldi E, Smith A, et al. Introducing the THESAN project: radiation-magnetohydrodynamic simulations of the epoch of reionization. Monthly Notices of the Royal Astronomical Society, 2022, 511 (3): 4005 - 4030.
Verde L. Statistical methods in cosmology. Lectures on Cosmology: Accelerated Expansion of the Universe. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010: 147 - 177.
Luciano G G. Gravity and cosmology in Kaniadakis statistics: current status and future challenges. Entropy, 2022, 24 (12): 1712.
Vogelsberger M, Sijacki D, Kereš D, et al. Moving mesh cosmology: numerical techniques and global statistics. Monthly Notices of the Royal Astronomical Society, 2012, 425 (4): 3024 - 3057.
Zhou Y B, Theoretical Mechanics Tutorial, Higher Education Press, Beijing, 2018, 98 - 100.
Harko T, Cheng K S. Virial theorem and the dynamics of clusters of galaxies in the brane world models. Physical Review D, 2007, 76 (4): 044013.
Popolo A D. A theoretical study of the mass–temperature relation for clusters of galaxies. Monthly Notices of the Royal Astronomical Society, 2002, 336 (1): 81 - 90.
Weinberger R, Springel V, Pakmor R. The Arepo public code release. The Astrophysical Journal Supplement Series, 2020, 248 (2): 32.
Gunn J E, Gott J R. On the infall of matter into clusters of galaxies and some effects on their evolution. Astrophysical Journal, 1972, 176: 1.
Liang K. M, Methods of Mathematical Physics, Higher Education Press, Beijing, 2020.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







