How to calculate FWHM from gaussian histogram fit?
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Hello
I was just trying to get the FWHM value for my histrogram with 8 bins for X = [0.6268 0.5372 0.5382 0.4272 0.4635 0.5422 0.5869 0.5308 0.5188 0.4759 0.6365 0.5532 0.5753 0.5734 0.5734 0.5465];
It will be really heplfull if someone guided with small portion of code to fit the gauassian distribution line and related mean, variance and fwhm.
thanks in advance!!
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Star Strider
2022 年 8 月 17 日
Thje easiest way is to use histfit and then findpeaks with the name-value pair appropriate arguments —
X = [0.6268 0.5372 0.5382 0.4272 0.4635 0.5422 0.5869 0.5308 0.5188 0.4759 0.6365 0.5532 0.5753 0.5734 0.5734 0.5465];
figure
h = histfit(X)
line_x = h(2).XData;
line_y = h(2).YData;
[pk,loc,w] = findpeaks(line_y, 'WidthReference','halfheight')
FWHM = w
x_peak = line_x(loc)
pd = fitdist(X(:),'Normal')
To get the parameters of the distribution, use the fitdist function. (This is the function histfit uses.)
.
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