Actions for Analysis Methods for Milky Way Dark Matter Satellite Detection [electronic resource].

Email RIS file
Bookmark
Report an Issue

Analysis Methods for Milky Way Dark Matter Satellite Detection [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2007.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description
2 pages : digital, PDF file
Additional Creators
Stanford Linear Accelerator Center, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online

Availability

I Want It
I Want It

Finding items...

Restrictions on Access
Free-to-read Unrestricted online access
Summary
The Gamma Ray Large Area Space Telescope (GLAST) Large Area Telescope (LAT) Dark Matter and New Physics Working group has been developing approaches for the indirect detection of in situ annihilation of dark matter. Our work has assumed that a significant component of dark matter is a new type of Weakly Interacting Massive Particle (WIMP) in the 100GeV mass range. The annihilation of two WIMPs results in the production of a large number of high energy gamma rays (>1GeV) that can be well measured by the GLAST LAT. The cold dark matter model implies a significant number of as yet unobserved dark matter satellites in our galaxy. The spectra of these galactic satellites are considerably harder than most, if not all, astrophysical sources, have an endpoint at the mass of the WIMP, and are not power laws. We describe a preliminary feasibility study for the indirect detection of dark matter satellites in the Milky Way using the GLAST LAT.
Report Numbers
E 1.99:slac-pub-12899
slac-pub-12899
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
10/19/2007.
"slac-pub-12899"
AIP Conf.Proc.921:582-583,2007
Prepared for 1st GLAST Symposium, Stanford, Palo Alto, 5-8 Feb 2007.
Bloom, Elliott; Wang, Ping; Wai, Larry.
Funding Information
AC02-76SF00515
View MARC record | catkey: 13822704