基于自适应蒙特卡洛法评定测量不确定度程序开发与应用

进行了基于自适应蒙特卡洛法评定测量不确定度的程序开发与应用。基于Python语言,设计开发自适应蒙特卡洛法评定测量不确定度程序,包含评定过程框架、自定义变量名称模块、过程参数关联计算模块以及蒙特卡洛法采样计算模块。程序界面简洁,操作简单,计算准确,适用于任意多个独立变量、任意多个过程参数及单一被测量的数学模型,为利用自适应蒙特卡洛法评定测量不确定度提供了方便。     

Modulation and enhancement of photonic spin Hall effect with graphene in broadband regions

The photonic spin Hall effect(SHE)holds great potential applications in manipulating spin-polarized photons.However,the SHE is generally very weak,and previous studies of amplifying photonic SHE were limited to the incident light in a specific wavelength range.In this paper,we propose a four-layered nanostructure of prism-graphene-air-substrate,and the enhanced photonic SHE of reflected light in broadband range of 0 THz–500 THz is investigated theoretically.The spin shift can be dynamically modulated by adjusting the thickness of air gap,Fermi energy of graphene,and also the incident angle.By optimizing the structural parameter of this structure,the giant spin shift(almost equal to its upper limit,half of the incident beam waist)in broadband range is achieved,covering the terahertz,infrared,and visible range.The difference is that in the terahertz region,the Brewster angle corresponding to the giant spin shift is larger than that of infrared range and visible range.These findings provide us with a convenient and effective way to tune the photonic SHE,and may offer an opportunity for developing new tunable photonic devices in broadband range.     

自适应蒙特卡洛法测量复合肥料中缩二脲的不确定度

建立自适应蒙特卡洛法测量复合肥料中缩二脲的不确定度评定方法。依据ISO 18643:2016,使用高效液相色谱法对复合肥料中缩二脲含量进行测定,再利用计算机编程语言(Python)编写计算程序,使用自适应蒙特卡洛(MCM)法,通过建立测量模型、分解独立输入量、评估输入量概率分布、大量采样带入计算程序等步骤完成对缩二脲含量的测量不确定度评定。评定结果表明,复合肥料样品中缩二脲含量(质量分数)为(0.1054±0.0019)%(95%包含概率)。蒙特卡罗法计算过程简单直观,与传统方法JJF 1059.1—2012《测量不确定度评定与表示》(GUM)相比,避免了复杂的数学运算评定过程,无需进行多次重复测定,是GUM法的重要补充。