The Principle of Maximum Entropy and the Distribution of Mass in Galaxies

被引:13
|
作者
Sanchez Almeida, Jorge [1 ,2 ]
机构
[1] Inst Astrofis Canarias, E-38200 Tenerife, Spain
[2] Univ La Laguna, Dept Astrofis, E-38200 Tenerife, Spain
关键词
Tsallis entropy; galaxy structure; polytropes; Sersic functions; NFW profiles; dark matter cores; dark matter nature; COLD DARK-MATTER; UNIVERSAL DENSITY PROFILE; VELOCITY DISPERSION; INNER STRUCTURE; HALOES; CORES; SIMULATIONS; POLYTROPES; DYNAMICS; SYSTEMS;
D O I
10.3390/universe8040214
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We do not have a final answer to the question of why galaxies choose a particular internal mass distribution. Here we examine whether the distribution is set by thermodynamic equilibrium (TE). Traditionally, TE is discarded for a number of reasons including the inefficiency of two-body collisions to thermalize the mass distribution in a Hubble time, and the fact that the mass distribution maximizing the classical Boltzmann-Gibbs entropy is unphysical. These arguments are questionable. In particular, when the Tsallis entropy that describes self-gravitating systems is used to define TE, the mass distributions that result (i.e., the polytropes) are physically sensible. This work spells out this and other arguments for TE and presents the polytropes and their properties. It puts forward empirical evidence for the mass distribution observed in galaxies to be consistent with polytropes. It compares polytropes with Sersic functions and it shows how the DM halos resulting from cosmological numerical simulations become polytropes when efficient collisions are allowed. It also discusses pathways to thermalization bypassing two-body collisions. It finally outlines future developments including deciphering whether or not DM particles collide efficiently.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Stand Diameter Distribution Modeling and Prediction Based on Maximum Entropy Principle
    Chen, Yuling
    Wu, Baoguo
    Min, Zhiqiang
    FORESTS, 2019, 10 (10):
  • [32] Identifying the Probability Distribution of Fatigue Life Using the Maximum Entropy Principle
    Li, Hongshuang
    Wen, Debing
    Lu, Zizi
    Wang, Yu
    Deng, Feng
    ENTROPY, 2016, 18 (04):
  • [33] Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints
    Baggenstoss, Paul M.
    ENTROPY, 2018, 20 (09)
  • [34] Maximum Entropy Principle Underlies Wiring Length Distribution in Brain Networks
    Song, Yuru
    Zhou, Douglas
    Li, Songting
    CEREBRAL CORTEX, 2021, 31 (10) : 4628 - 4641
  • [35] Maximum Entropy Principle Based Estimation of Performance Distribution in Queueing Theory
    He, Dayi
    Li, Ran
    Huang, Qi
    Lei, Ping
    PLOS ONE, 2014, 9 (09):
  • [36] Surface Elevation Distribution of Sea Waves Based on the Maximum Entropy Principle
    戴德君
    王伟
    钱成春
    孙孚
    China Ocean Engineering, 2001, (02) : 217 - 228
  • [37] Remarks on the Maximum Entropy Principle with Application to the Maximum Entropy Theory of Ecology
    Favretti, Marco
    ENTROPY, 2018, 20 (01):
  • [38] MAXIMUM-ENTROPY MODELS OF GALAXIES
    RICHSTONE, DO
    TREMAINE, S
    ASTROPHYSICAL JOURNAL, 1988, 327 (01): : 82 - 88
  • [39] Mammographic mass segmentation based on maximum entropy principle and active contour model
    Song, Enmin
    Jiang, Luan
    Liu, Jinhui
    Jin, Renchao
    Xu, Xiangyang
    MIPPR 2007: MEDICAL IMAGING, PARALLEL PROCESSING OF IMAGES, AND OPTIMIZATION TECHNIQUES, 2007, 6789
  • [40] THE MAXIMUM-ENTROPY PRINCIPLE AS A CONSEQUENCE OF THE PRINCIPLE OF LAPLACE
    HADJISAVVAS, N
    JOURNAL OF STATISTICAL PHYSICS, 1981, 26 (04) : 807 - 815