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Theoretical Interpretation of Experimental Data from Direct Dark Matter Detection

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 Added by Chung-Lin Shan
 Publication date 2007
  fields Physics
and research's language is English




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Weakly Interacting Massive Particles (WIMPs) are one of the leading candidates for Dark Matter. Currently, the most promising method to detect WIMPs is the direct detection of the recoil energy deposited in a low-background laboratory detector due to elastic WIMP-nucleus scattering. So far the usual procedure has been to predict the event rate of direct detection of WIMPs based on some model(s) of the Galactic halo from cosmology and of WIMPs from elementary particle physics. The aim of this work is to invert this process. In this thesis I present methods which allow to reconstruct (the moments of) the WIMP velocity distribution function as well as to determine the WIMP mass from the recoil energy spectrum as well as from experimental data directly. The reconstruction of the velocity distribution function has been further extended to take into account the annual modulation of the event rate. Moreover, the reconstruction of the amplitude of the annual modulation of the velocity distribution and an alternative, better way for confirming the annual modulation of the event rate have been discussed. On the other hand, the determination of the WIMP mass by combining two (or more) experiments with different detector materials has been developed. All formulae and expressions given here are not only independent of the model of Galactic halo but also of that of WIMPs. This means that we need neither the as yet unknown WIMP density near the Earth nor the WIMP-nucleus cross section. The only information which we need is the measured recoil energies and their measuring times.



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112 - Chung-Lin Shan 2014
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 Earths Galactic velocities, will be pinned down as the output results. Our Monte-Carlo simulations show that this Bayesian scanning procedure could reconstruct the true (input) WIMP velocity distribution function pretty precisely with negligible systematic deviations of the reconstructed characteristic Solar and Earths velocities and 1 sigma statistical uncertainties of <~ 20 km/s. Moreover, for the use of an improper fitting velocity distribution function, our reconstruction process could still offer useful information about the shape of the velocity distribution. In addition, by comparing these estimates to theoretical predictions, one could distinguish different (basic) functional forms of the theoretically predicted one-dimensional WIMP velocity distribution function with 2 sigma to 4 sigma confidence levels.
223 - Chung-Lin Shan 2015
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