MIMAC : A micro-tpc matrix for directional detection of dark matter

Santos, D.; Mayet, F.; Mols, J.P.; Golabek, C.; Allaoua, A.; Iguaz, F.J.; Billard, J.; Bourrion, O.; Lebreton, L.; Bosson, G.; Guillaudin, O.; Ferrer, E.; Grignon, C.; Richer, J.P.; Giomataris, I.

doi:10.48550/arxiv.1012.1166

Cited by 4 publications

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“…In Table 10, we summarize the reconstructed results of the fitting parameters and their 1(2)σ statistical uncertainty ranges of the median values with 500 total events on average in one entire year for all four considered fitting velocity distributions shown in Figs. 26, 27, 28, and 29.…”

Section: Fitted Radial Wimp Velocity Distributions In the Equatorial ...mentioning

confidence: 99%

“…4.3.2, we now consider the v 0 -fixed velocity distribution f 1,sh,ve (v; v e ) given by Eq. (26) with v e as the fitting parameter scanned in the ranges of 90 km/s ≤ v e ≤ 330 km/s (50 events) and 180 km/s ≤ v e ≤ 270 km/s (500 events) as well as the input condition that v 0 = 220 km/s.…”

Section: Annual Modulation Of the Radial Wimp Velocity Distribution I...mentioning

confidence: 99%

“…Figure30: As in Figs 26,. reconstructed with the one-parameter velocity distribution f 1,sh,v 0 (v; v 0 ), except that four 60-day observation periods of the advanced seasons have been considered.…”

mentioning

confidence: 93%

“…demonstrated the reconstruction ability of the range component signature by using their DRIFT-IId detector with a gas mixture of CS 2 + CF 4 + O 2 [14,15,16,17,18,19,20,21]. Meanwhile, the MIMAC experiment started with 3 He as detector material for searching for light WIMPs [22,23,24], but turned later to develop micromegas µTPC detetor with a gas mixture of CF 4 + CHF 3 + C 4 H 10 and also demonstrated the ability of determining 3-D positions of primary ionization electrons for reconstructing in turn the track of the recoiled nucleus [25,26,27,28,29].…”

Section: Introductionmentioning

confidence: 99%

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Simulations of the 3-Dimensional Velocity Distribution of Halo Weakly Interacting Massive Particles for Directional Dark Matter Detection Experiments

Shan¹

2019

Preprint

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In this paper, as a preparation of developing data analysis procedures for using 3dimensional information offered by directional Dark Matter (DM) detection experiments, we study the patterns of the angular distribution of the Monte Carlo-generated 3-D velocity of halo Weakly Interacting Massive Particles (WIMPs) as well as apply the Bayesian fitting technique to reconstruct the radial distribution of the 3-D WIMP velocity. Besides the diurnal modulation of the angular WIMP velocity distribution, the so-called "directionality" of DM signals proposed in literature, we will also demonstrate possible "annual" modulations of both of the angular and the radial distributions of the 3-D WIMP velocity. Our Bayesian reconstruction results of (the annual modulation of) the radial WIMP velocity distribution will also be discussed in detail. For readers' reference, the angular distribution patterns of the 3-D WIMP velocity in the "laboratory (location)-dependent" reference frames of several underground laboratories are given in the Appendix.

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Section: Fitted Radial Wimp Velocity Distributions In the Equatorial ...mentioning

confidence: 99%

Section: Annual Modulation Of the Radial Wimp Velocity Distribution I...mentioning

confidence: 99%

mentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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Simulations of the 3-Dimensional Velocity Distribution of Halo Weakly Interacting Massive Particles for Directional Dark Matter Detection Experiments

Shan¹

2019

Preprint

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“…Several project of directional detectors are being developed [2,3] and some of them are already taking data [4,5,6]. The first step when analysing directional data should be to look for a signal pointing toward the Cygnus Constellation with a sufficiently high significance [7].…”

Section: Introductionmentioning

confidence: 99%

Directional detection of Dark Matter with MIMAC: WIMP identification and track reconstruction

Billard

Mayet

Grignon

et al. 2011

J. Phys.: Conf. Ser.

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Directional detection is a promising Dark Matter search strategy. Indeed, WIMP-induced recoils present a direction dependence toward the Cygnus constellation, while background-induced recoils exhibit an isotropic distribution in the galactic rest frame. Taking advantage on these characteristic features and even in the presence of a sizeable background, we show for the first time the possibility to constrain the WIMP properties, both from particle and galactic halo physics, leading to an identification of non-baryonic Dark Matter. However, such results need highly accurate track reconstruction which should be reachable by the MIMAC detector using a dedicated readout combined with a likelihood analysis of recoiling nuclei.

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Markov chain Monte Carlo analysis to constrain dark matter properties with directional detection

2011

Self Cite

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Directional detection is a promising dark matter search strategy. Indeed, weakly interacting massive particle (WIMP)-induced recoils would present a direction dependence toward the Cygnus constellation, while background-induced recoils exhibit an isotropic distribution in the Galactic rest frame. Taking advantage of these characteristic features, and even in the presence of a sizeable background, it has recently been shown that data from forthcoming directional detectors could lead either to a competitive exclusion or to a conclusive discovery, depending on the value of the WIMP-nucleon cross section. However, it is possible to further exploit these upcoming data by using the strong dependence of the WIMP signal with: the WIMP mass and the local WIMP velocity distribution. Using a Markov chain Monte Carlo analysis of recoil events, we show for the first time the possibility 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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MIMAC : A micro-tpc matrix for directional detection of dark matter

Cited by 4 publications

References 0 publications

Simulations of the 3-Dimensional Velocity Distribution of Halo Weakly Interacting Massive Particles for Directional Dark Matter Detection Experiments

Simulations of the 3-Dimensional Velocity Distribution of Halo Weakly Interacting Massive Particles for Directional Dark Matter Detection Experiments

Directional detection of Dark Matter with MIMAC: WIMP identification and track reconstruction

Markov chain Monte Carlo analysis to constrain dark matter properties with directional detection

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