Shan, CL (reprint author), Natl Ctr Theoret Sci, Div Phys, 101,Sect 2,Kuang Fu Rd, Hsinchu 30013, Taiwan.
[Shan, Chung-Lin] Natl Ctr Theoret Sci, Div Phys, Hsinchu 30013, Taiwan
; [Shan, Chung-Lin] Hangzhou Normal Univ, Dept Phys, Hangzhou 310036, Zhejiang, Peoples R China
; [Shan, Chung-Lin] Chinese Acad Sci, Kavli Inst Theoret Phys China, Beijing 100190, Peoples R China
In this paper, we extended our earlier work on the reconstruction of the (time-averaged) one-dimensional velocity distribution of Galactic Weakly Interacting Massive Particles (WIMPs) and introduce the Bayesian fitting procedure to the theoretically predicted velocity distribution functions. In this reconstruction process, the (rough) velocity distribution reconstructed by using raw data from direct Dark Matter detection experiments directly, i.e. measured recoil energies, with one or more different target materials, has been used as "reconstructed-input" information. By assuming a fitting velocity distribution function and scanning the parameter space based on the Bayesian analysis, the astronomical characteristic parameters, e.g. the Solar and Earth's Galactic velocities, will be pinned down as the output results.
Shan, CL. Bayesian reconstruction of the velocity distribution of weakly interacting massive particles from direct dark matter detection data[J]. JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS,2014(8):9.