Power-Spectrum Analysis of Reconstructed DAMA Data
Abstract
Claims by the DAMA (DArk MAtter) collaboration to have detected an annually varying signal consistent with models of dark matter appear to be at variance with results from other dark-matter searches. To further understand the DAMA results, we have carried out an independent analysis of DAMA data reconstructed from published figures. In addition to reexamining the Lomb-Scargle and chi-square analyses previously carried out by the DAMA collaboration, we carry out two new likelihood analyses and a new chi-square analysis, focusing attention on the treatment of experimental errors and binning. We confirm the existence of an annual oscillation, with a maximum in early June, but at a lower significance level than previously reported.
Cite
@article{arxiv.1304.8112,
title = {Power-Spectrum Analysis of Reconstructed DAMA Data},
author = {P. A. Sturrock and E. Fischbach and J. T. Gruenwal and D. Javorsek and J. H. Jenkins and R. F. Lang and R. H. Lee and J. Nistor and J. Scargle},
journal= {arXiv preprint arXiv:1304.8112},
year = {2013}
}
Comments
13 pages, 10 figures