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首页> 外文期刊>Journal of Quantitative Spectroscopy & Radiative Transfer >A MULTISPECTRUM NONLINEAR LEAST SQUARES FITTING TECHNIQUE
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A MULTISPECTRUM NONLINEAR LEAST SQUARES FITTING TECHNIQUE

机译:多谱非线性最小二乘拟合技术

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摘要

An extension of the nonlinear least squares spectrum fitting technique has been developed for the simultaneous fitting of multiple spectra. This procedure's smaller number of fitted parameters as compared to fitting one spectrum at a time improves the determination of spectroscopic parameters. A more reliable evaluation of the errors associated with the solution is possible. Correlations among fitted parameters may preclude their determination from a single spectrum fit. If the correlations differ from spectrum to spectrum, however, separation of these parameters is often possible when including the spectra in one solution. Overfitting is also avoided when combining spectra with sufficiently different experimental physical conditions. [References: 46]
机译:非线性最小二乘光谱拟合技术的扩展已被开发用于同时拟合多个光谱。与一次拟合一个光谱相比,此过程的拟合参数数量较少,从而改善了光谱参数的确定。对与解决方案相关的错误进行更可靠的评估是可能的。拟合参数之间的相关性可能会使它们无法从单个光谱拟合中确定。但是,如果各光谱之间的相关性不同,则将光谱包含在一个解决方案中时,通常可能会分离这些参数。当将光谱与足够不同的实验物理条件组合在一起时,也可以避免过拟合。 [参考:46]

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