利用显式轮廓似然更快地发现暗物质
Finding Dark Matter Faster with Explicit Profile Likelihoods
摘要：
液体氙时间投影室是世界上最灵敏的探测器，可以探测到各种各样的暗物质。我们表明，他们的数据的统计分析，可以通过取代探测器响应蒙特卡罗模拟与等效的确定性计算。这允许使用高维未离散化模型，产生高达$\sim\! 2$倍的优势背景的更好的歧视。反过来，这可能会大大扩展即将到来的实验，如XENONNT和LZ的物理范围，并将潜在的$5 σ$暗物质发现提前一年多。
英文摘要：
Liquid xenon time-projection chambers are the world's most sensitive detectors for a wide range of dark matter candidates. We show that the statistical analysis of their data can be improved by replacing detector response Monte Carlo simulations with an equivalent deterministic calculation. This allows the use of high-dimensional undiscretized models, yielding up to $\sim\! 2$ times better discrimination of the dominant backgrounds. In turn, this could significantly extend the physics reach of upcoming experiments such as XENONnT and LZ, and bring forward a potential $5 σ$ dark matter discovery by over a year.
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。
