论文标题
低温检测器的矩阵最佳滤波器降低了
The matrix optimum filter for Low Temperature Detectors dead-time reduction
论文作者
论文摘要
针对高灵敏度的实验通常需要对非常高的统计数据，以实现更精确的测量。但是，对于那些利用低温检测器（LTD）的人，如果事件速率与检测器特征的时间响应相当，则高源活动可能代表缺点。实际上，由于常用的最佳滤波方法只能在时间上隔离良好的LTDS信号，因此记录的实验数据集中不可忽略的部分被丢弃，因此构成了死时间。在介绍的研究中，我们证明，借助矩阵最佳滤波方法，可以大大减少实验利用LTD的死时间。
Experiments aiming at high sensitivities usually demand for a very high statistics in order to reach more precise measurements. However, for those exploiting Low Temperature Detectors (LTDs), a high source activity may represent a drawback, if the events rate becomes comparable with the detector characteristic temporal response. Indeed, since commonly used optimum filtering approaches can only process LTDs signals well isolated in time, a non-negligible part of the recorded experimental data-set is discarded and hence constitute the dead-time. In the presented study we demonstrate that, thanks to the matrix optimum filtering approach, the dead-time of an experiment exploiting LTDs can be strongly reduced.
