论文标题
Flamenest：带有贵族元素仿真技术的明确概况可能性
FlameNEST: Explicit Profile Likelihoods with the Noble Element Simulation Technique
论文作者
论文摘要
我们提出了Flamenest，这是一个框架，使用来自Noble Element仿真技术的数据驱动模型在贵族元件粒子检测器中提供明确的似然评估。 Flamenest提供了一种对真实数据进行统计分析的方法，而不依赖于大型，计算昂贵的蒙特卡洛模拟，通过使用单个Tensorflow乘坐中的分析概率元素逐个事件评估可能性。此外，这个强大的框架为简单的跨代理分析创造了机会，这对于实验性暗物质物理的未来将是基础。
We present FlameNEST, a framework providing explicit likelihood evaluations in noble element particle detectors using data-driven models from the Noble Element Simulation Technique. FlameNEST provides a way to perform statistical analyses on real data with no dependence on large, computationally expensive Monte Carlo simulations by evaluating the likelihood on an event-by-event basis using analytic probability elements convolved together in a single TensorFlow multiplication. Furthermore, this robust framework creates opportunities for simple inter-collaborative analyses which will be fundamental for the future of experimental dark matter physics.
