skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Improvement of the Determination of the WIMP Mass from Direct Dark Matter Detection Data

Journal Article · · AIP Conference Proceedings
DOI:https://doi.org/10.1063/1.3052020· OSTI ID:21255111
 [1];  [2]
  1. Physikalisches Institut der Universitaet Bonn, D-53115 Bonn, Germany School of Physics, KIAS, Seoul 130-012, Republic of Korea Bethe Center of Theoretical Physics, Universitaet Bonn, D-53115 Bonn (Germany)
  2. School of Physics and Astronomy, Seoul National University, Seoul 151-747 (Korea, Republic of)

Weakly Interacting Massive Particles (WIMPs) are one of the leading candidates for Dark Matter. We developed a model--independent method for determining the WIMP mass by using data (i.e., measured recoil energies) of direct detection experiments. Our method is independent of the as yet unknown WIMP density near the Earth, of the form of the WIMP velocity distribution, as well as of the WIMP-nucleus cross section. It requires however positive signals from at least two detectors with different target nuclei. At the first phase of this work we found a systematic deviation of the reconstructed WIMP mass from the real one for heavy WIMPs. Now we improved this method so that this deviation can be strongly reduced for even very high WIMP mass. The statistical error of the reconstructed mass has also been reduced. In a background-free environment, a WIMP mass of {approx}50 GeV could in principle be determined with an error of {approx}35% with only 2x50 events.

OSTI ID:
21255111
Journal Information:
AIP Conference Proceedings, Vol. 1078, Issue 1; Conference: SUSY08: 16. international conference on supersymmetry and the unification of fundamental interactions, Seoul (Korea, Republic of), 16-21 Jun 2008; Other Information: DOI: 10.1063/1.3052020; (c) 2008 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
Country of Publication:
United States
Language:
English