Symmetry in stochasticity: Random walk models of large-scale structure

被引:4
|
作者
Sheth, Ravi K. [1 ,2 ]
机构
[1] Univ Penn, Ctr Particle Cosmol, Philadelphia, PA 19104 USA
[2] Abdus Salam Ctr Theoret Phys, I-34151 Trieste, Italy
来源
PRAMANA-JOURNAL OF PHYSICS | 2011年 / 77卷 / 01期
基金
美国国家科学基金会;
关键词
Galaxies; -; formation; large-scale structure; cosmology; DARK-MATTER HALOES; EXCURSION SET MODEL; ELLIPSOIDAL COLLAPSE; MOVING BARRIER; GALAXIES; CLUSTERS;
D O I
10.1007/s12043-011-0126-z
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper describes the insights gained from the excursion set approach, in which various questions about the phenomenology of large-scale structure formation can be mapped to problems associated with the first crossing distribution of appropriately defined barriers by random walks. Much of this is summarized in R K Sheth, AIP Conf. Proc. 1132, 158 (2009). So only a summary is given here, and instead a few new excursion set related ideas and results which are not published elsewhere are presented. One is a generalization of the formation time distribution to the case in which formation corresponds to the time when half the mass was first assembled in pieces, each of which was at least 1/n times the final mass, and where n >= 2; another is an analysis of the first crossing distribution of the Ornstein-Uhlenbeck process. The first derives from the mirror-image symmetry argument for random walks which Chandrasekhar described so elegantly in 1943; the second corrects a misuse of this argument. Finally, some discussion of the correlated steps and correlated walks assumptions associated with the excursion set approach, and the relation between these and peaks theory are also included. These are problems in which Chandra's mirror-image symmetry is broken.
引用
收藏
页码:169 / 184
页数:16
相关论文
共 50 条
  • [1] Symmetry in stochasticity: Random walk models of large-scale structure
    RAVI K SHETH
    [J]. Pramana, 2011, 77 : 169 - 184
  • [2] Random walk with jumps in large-scale random geometric graphs
    Tzevelekas, Leonidas
    Oikonomou, Konstantinos
    Stavrakakis, Ioannis
    [J]. COMPUTER COMMUNICATIONS, 2010, 33 (13) : 1505 - 1514
  • [3] Minimizing the stochasticity of halos in large-scale structure surveys
    Hamaus, Nico
    Seljak, Uros
    Desjacques, Vincent
    Smith, Robert E.
    Baldauf, Tobias
    [J]. PHYSICAL REVIEW D, 2010, 82 (04):
  • [4] Quantifying the colour-dependent stochasticity of large-scale structure
    Patej, Anna
    Eisenstein, Daniel
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2016, 460 (02) : 1310 - 1317
  • [5] MODELS OF LARGE-SCALE STRUCTURE
    FRENK, CS
    [J]. PHYSICA SCRIPTA, 1991, T36 : 70 - 87
  • [6] Deep random walk of unitary invariance for large-scale data representation
    Wang, Shiping
    Chen, Zhaoliang
    Zhu, William
    Wang, Fei-Yue
    [J]. INFORMATION SCIENCES, 2021, 554 : 1 - 14
  • [7] Degree-biased random walk for large-scale network embedding
    Zhang, Yunyi
    Shi, Zhan
    Feng, Dan
    Zhan, Xiu-Xiu
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 100 : 198 - 209
  • [8] LARGE-SCALE STOCHASTICITY IN HAMILTONIAN-SYSTEMS
    ESCANDE, DF
    [J]. PHYSICA SCRIPTA, 1982, T2 : 126 - 141
  • [9] Community Detection Algorithm of the Large-Scale Complex Networks Based on Random Walk
    Ding Guohui
    Song Huimin
    Fan Chunlong
    Song Yan
    [J]. WEB-AGE INFORMATION MANAGEMENT, 2016, 9998 : 269 - 282
  • [10] A Distributed Parallel Random Walk Algorithm for Large-Scale Capacitance Extraction and Simulation
    Song, Mingye
    Xu, Zhezhao
    Xue, Wei
    Yu, Wenjian
    [J]. PROCEEDINGS OF THE 2018 GREAT LAKES SYMPOSIUM ON VLSI (GLSVLSI'18), 2018, : 189 - 194