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Automatic correction for continuum background in laser induced breakdown and Raman spectroscopy
Automatic correction for continuum background in laser induced breakdown and Raman spectroscopy
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机译:自动校正激光诱发击穿和拉曼光谱中的连续背景
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摘要
The approximation of a spectral continuum by determining a plurality of minima in the spectral data; splitting the spectral data into a predetermined number of groups N; for each group of spectral data, determining major minima for the group, and calculating an average and a standard deviation for the determined major minima; determining a polynomial function that can be drawn through the major minima of all groups; for each group of spectral data, determining minor minima; calculating an average deviation (ΦN) between this polynomial function and the determined minor minima; reducing the number of groups, and repeating this process for the reduced number of groups until a minimum number of groups is reached. Then, the least ΦN corresponding to an optimal number of groups Nopt is determined. The spectral data is split into Nopt groups; and a polynomial function that can be drawn through both the major minima and minor minima is determined for Nopt groups. This polynomial function approximates the spectral continuum.
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机译:通过确定光谱数据中的多个最小值来近似光谱连续体;将光谱数据分成预定数量的组N;对于每组光谱数据,确定该组的主要最小值,并计算所确定的主要最小值的平均值和标准偏差;确定可以通过所有组的主要极小值得出的多项式函数;对于每组光谱数据,确定次要最小值;计算该多项式函数和确定的次要最小值之间的平均偏差(Φ N Sub>);减少组数,并对减少的组数重复此过程,直到达到最小组数。然后,确定与最优组数N opt Sub>对应的最小Φ N Sub>。光谱数据分为N opt Sub>个组;对于N opt Sub>组,确定了可以通过主要极小值和次要极小值绘制的多项式函数。该多项式函数近似谱连续性。
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