Result: Gravitational structure formation, the cosmological problem and statistical physics

Title:
Gravitational structure formation, the cosmological problem and statistical physics
Source:
Modern problems in complexityThe European physical journal. B, Condensed matter physics. 50(1-2):285-289
Publisher Information:
Les Ulis; Berlin: EDP sciences, Springer, 2006.
Publication Year:
2006
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dipartimento di Fisica, Università La Sapienza, P.le A. Moro 2, 00185 Rome, Italy
ISC-CNR via dei Taurini, 19, 00185 Rome, Italy
E. Fermi Center, via Panisperna 89 A, Compendio del Viminale, 00184 Rome, Italy
ISSN:
1434-6028
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Astronomy

Mathematics

Theoretical physics
Accession Number:
edscal.17752857
Database:
PASCAL Archive

Further Information

Models of structure formation in the universe postulate that matter distributions observed today in galaxy catalogs arise, through a complex non-linear dynamics, by gravitational evolution from a very uniform initial state. Dark matter plays the central role of providing the primordial density seeds which will govern the dynamics of structure formation. We critically examine the role of cosmological dark matter by considering three different and related issues: Basic statistical properties of theoretical initial density fields, several elements of the gravitational many-body dynamics and key correlation features of the observed galaxy distributions are discussed, stressing some useful analogies with known systems in modern statistical physics.