Fowler J W, Alpert B K, Doriese W B, Joe Y-I, O'Neil G C, Ullom J N, Swetz D S
National Institute of Standards and Technology, 325 Broadway, Boulder, CO 80305, USA.
J Low Temp Phys. 2015 Dec 9;184(1-2):374-381. doi: 10.1007/s10909-015-1380-0.
The analysis of data from x-ray microcalorimeters requires great care; their excellent intrinsic energy resolution cannot usually be achieved in practice without a statistically near-optimal pulse analysis corrections for important systematic errors. We describe the essential parts of a pulse-analysis pipeline for data from x-ray microcalorimeters, including steps taken to reduce systematic gain variation and the unwelcome dependence of filtered pulse heights on the exact pulse-arrival time. We find these steps collectively to be essential tools for getting the best results from a microcalorimeter-based x-ray spectrometer.
对来自X射线微热量计的数据进行分析需要格外小心;如果不对重要的系统误差进行统计上近乎最优的脉冲分析校正,通常无法在实际中实现其出色的固有能量分辨率。我们描述了用于X射线微热量计数据的脉冲分析流程的关键部分,包括为减少系统增益变化以及滤波后的脉冲高度对精确脉冲到达时间的不良依赖而采取的步骤。我们发现这些步骤共同构成了从基于微热量计的X射线光谱仪获得最佳结果的关键工具。