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arXiv 1205.0973astro-ph.IMphysics.ins-det
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用于定向暗物质探测的低能电子/反冲鉴别

Low energy electron/recoil discrimination for directional Dark Matter detection

J. Billard, F. Mayet, D. Santos

摘要:

定向探测是一种很有前途的暗物质搜索策略。即使它可以适应相当大的背景污染,电子/反冲歧视仍然是一个关键和具有挑战性的问题,方向不敏感的探测器。3D径迹的测量可用于区分电子与核反冲。虽然在20 keV电离以上预期高抑制功率,但在低能量下需要专用数据分析。在识别判别观测量后,提出了一种多变量分析,即提升决策树,使暗物质搜索的有效事件标记。我们表明,它使我们能够优化拒绝,同时保持一个相当高的效率,这是强制性的稀有事件search.With顺序分析,拒绝是约20倍高的多变量分析,对于相同的暗物质排除限制。

英文摘要:

Directional detection is a promising Dark Matter search strategy. Even though it could accommodate to a sizeable background contamination, electron/recoil discrimination remains a key and challenging issue as for direction-insensitive detectors. The measurement of the 3D track may be used to discriminate electrons from nuclear recoils. While a high rejection power is expected above 20 keV ionization, a dedicated data analysis is needed at low energy. After identifying discriminant observables, a multivariate analysis, namely a Boosted Decision Tree, is proposed, enabling an efficient event tagging for Dark Matter search. We show that it allows us to optimize rejection while keeping a rather high efficiency which is compulsory for rare event search.With respect to a sequential analysis, the rejection is about 20 times higher with a multivariate analysis, for the same Dark Matter exclusion limit.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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