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Track reconstruction with MIMAC

Published online by Cambridge University Press:  15 February 2012

F. Mayet ,
D. Santos ,
J. Billard ,
F. Mayet  and
D. Santos
J. Billard
Affiliation:
Laboratoire de Physique Subatomique et de Cosmologie, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut Polytechnique de Grenoble, Grenoble, France
F. Mayet
Affiliation:
Laboratoire de Physique Subatomique et de Cosmologie, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut Polytechnique de Grenoble, Grenoble, France
D. Santos
Affiliation:
Laboratoire de Physique Subatomique et de Cosmologie, Université Joseph Fourier Grenoble 1, CNRS/IN2P3, Institut Polytechnique de Grenoble, Grenoble, France
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Abstract

Directional detection of Dark Matter is a promising search strategy. However, to perform such kind of detection, the recoiling tracks have to be accurately reconstructed: direction, sense and position in the detector volume. In order to optimize the track reconstruction and to fully exploit the data from the MIMAC detector, we developed a likelihood method dedicated to the track reconstruction. This likelihood approach requires a full simulation of track measurements with MIMAC in order to compare real tracks to simulated ones. Finally, we found that the MIMAC detector should have the required performance to perform a competitive directional detection of Dark Matter.

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 53: CYGNUS 2011: Third International Conference on Directional Detection of Dark Matter , 2012 , pp. 137 - 145
Copyright
© EAS, EDP Sciences 2012

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