Cosmological Simulations of Multicomponent Cold Dark Matter / Medvedev Mikhail V. // PHYSICAL REVIEW LETTERS. - 2014. - V. 113, l. 7.

ISSN/EISSN:

0031-9007 / 1079-7114

Type:

Article

Abstract:

The nature of dark matter is unknown. A number of dark matter candidates are quantum flavor-mixed particles but this property has never been accounted for in cosmology. Here we explore this possibility from the first principles via extensive N-body cosmological simulations and demonstrate that the two-component dark matter model agrees with observational data at all scales. Substantial reduction of substructure and flattening of density profiles in the centers of dark matter halos found in simulations can simultaneously resolve several outstanding puzzles of modern cosmology. The model shares the ``why now?{''} fine-tuning caveat pertinent to all self-interacting models. Predictions for direct and indirect detection dark matter experiments are made.

Author keywords:

DWARF GALAXIES; SPIRAL GALAXIES; BLACK-HOLES; LAMBDA-CDM; HALOES; UNIVERSE; CORES; WARM; CONSTRAINTS; MODELS

DOI:

10.1103/PhysRevLett.113.071303

Web of Science ID:

ISI:000341309300002

Соавторы в МНС:

—

Другие поля

Поле	Значение
Month	AUG 15
Publisher	AMER PHYSICAL SOC
Address	ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA
Language	English
Article-Number	071303
EISSN	1079-7114
Keywords-Plus	DWARF GALAXIES; SPIRAL GALAXIES; BLACK-HOLES; LAMBDA-CDM; HALOES; UNIVERSE; CORES; WARM; CONSTRAINTS; MODELS
Research-Areas	Physics
Web-of-Science-Categories	Physics, Multidisciplinary
Funding-Acknowledgement	Institute for Theory and Computation at Harvard University; DOE {[}DE-FG02-07ER54940]; NSF {[}AST-1209665]; XSEDE {[}AST110024, AST110056]
Funding-Text	The author is grateful to Lars Hernquist, Avi Loeb, Ramesh Narayan, Lyman Page, Sergei Shandarin, and Mark Vogelsberger for discussions and suggestions. This work was supported in part by the Institute for Theory and Computation at Harvard University and by DOE Grant No. DE-FG02-07ER54940, NSF Grant No. AST-1209665 and XSEDE Grants No. AST110024 and No. AST110056. The simulations utilized XSEDE high-performance computing systems Trestles (SDSC) and Ranger (TACC).
Number-of-Cited-References	67
Usage-Count-Since-2013	1
Journal-ISO	Phys. Rev. Lett.
Doc-Delivery-Number	AO4LJ