非线性微热量计的能量校准与不确定性估计从高斯过程回归的估计
J W Fowler1,2, B K Alpert1, G C O'Neil1
1National Institute of Standards and Technology, 325 Broadway, Boulder, CO 80305, USA.
我们建议在低温微热量计校准中使用近似的线条,以提高能量响应的准确性. 该方法还为校准能量提供了关键的不确定性估计,提高了数据可靠性.
科学领域:
- 物理 物理学 物理
- 仪器科学 仪器科学
- 数据分析 数据分析
背景情况:
- 低温微热量计表现出非线性能量反应.
- 使用排放线的经验校准是标准的,但缺乏不确定性量化.
研究的目的:
- 引入近似线条作为微热量计的高级校准函数.
- 将定量不确定性估计纳入能源校准过程中.
主要方法:
- 利用高斯过程回归理论来证明近似的线条.
- 应用spline函数来概括校准数据,并将探测器测量结果转换为能量.
主要成果:
- 接近的线条为能量校准提供了理论上健全的基础.
- 该方法为校准能量提供了定量不确定性估计.
- 在精确定义的校准点附近,不确定性被最小化.
结论:
- 接近的线条代表了微热量计能量校准的进步.
- 整合不确定性估计可以提高探测器测量的可靠性.
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