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? Spectroscopy spectral data
Decomposition Method
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? Spectroscopy spectral data Decomposition
Method
Abstract
Spectral data obtained by multi-channel pulse analyzer need to be the end result of certain mathematical methods to deal with to get the experimental requirements. The energy spectrum of data processing can be divided into two steps. First peak analysis, all the significant peaks from the spectral data, and calculate the net area of each peak after deducting the background. The second step is Radionuclides or the calculation of element concentrations in the samples, energy identified by the peak position corresponding to the tested samples containing radionuclides or excited elements and calculate the net area of the peak radionuclides or elements in the sample concentration.
Different physical experiments, using a different detector, the energy spectrum of data processing methods are different. This course is designed report using the peak analysis method often used in the spectral data processing, including spectral data smoothing, background subtraction, peak search, peak net area calculations and functions fitting solution spectrum. Then, spectral analysis, for example, the discussion of the data decomposition in matlab software platform based on the spectrum in the multi-channel analyzer computer.
Key Words£º?Spectroscopy, deconvolution, smoothing, peak searching to find the peak
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