J
J. Billard
Researcher at Grenoble Institute of Technology
Publications - 39
Citations - 844
J. Billard is an academic researcher from Grenoble Institute of Technology. The author has contributed to research in topics: Dark matter & WIMP. The author has an hindex of 15, co-authored 39 publications receiving 801 citations. Previous affiliations of J. Billard include Louisiana Public Service Commission.
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Directional detection as a strategy to discover Galactic Dark Matter
TL;DR: In this paper, a map-based likelihood method is proposed to recover the main incoming direction of the signal and its significance, thus proving its Galactic origin, which is a blind analysis intended to be used on any directional data.
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Assessing the discovery potential of directional detection of dark matter
TL;DR: In this article, a frequentist approach based on the profile likelihood ratio test statistic is used to estimate the expected significance of a Dark Matter detection, which can propagate astrophysical and experimental uncertainties in the determination of the discovery potential of a given directional detection experiment.
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Markov Chain Monte Carlo analysis to constrain Dark Matter properties with directional detection
J. Billard,F. Mayet,D. Santos +2 more
TL;DR: In this article, a Markov chain Monte Carlo analysis of recoil events was used to constrain the unknown WIMP parameters, both from particle physics (mass and cross section) and Galactic halo (velocity dispersion along the three axis), leading to an identification of non-baryonic dark matter.
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Exclusion limits from data of directional dark matter detectors
J. Billard,F. Mayet,D. Santos +2 more
TL;DR: In this article, a new statistical method based on an extended likelihood is proposed, compared to existing ones, and is shown to be optimal for setting robust exclusion limits, arguing that the energy part of the background distribution is unknown.
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MIMAC : A micro-tpc matrix for directional detection of dark matter
Daniel Santos,J. Billard,G. Bosson,J.L. Bouly,O. Bourrion,Ch. Fourel,O. Guillaudin,F. Mayet,J. P. Richer,A. Delbart,Efrain J. Ferrer,I. Giomataris,F.J. Iguaz,J.P. Mols,C. Golabek,L. Lebreton +15 more
TL;DR: In this paper, the MIMAC project based on a micro-TPC matrix, filled with CF4 and CHF3, was developed for the detection of non-baryonic dark matter.