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The question is: for a Gaussian distribution what is the mathematical relationship between the FWHM and the standard deviation.
The equations I'm using are:
[TEX]N(x) =\frac {\ a}{2}[/TEX]
[TEX]N(x) = Ae^- \frac {\ (x-x_2)^2}{2 sigma^2}[/tex]
I equated the equations and started to solve for x. I know you take the ln of both sides to get rid of e. But a few of my friends have 2ln2 in their answer...how do you get ln2? isn't it ln 1/2?
The equations I'm using are:
[TEX]N(x) =\frac {\ a}{2}[/TEX]
[TEX]N(x) = Ae^- \frac {\ (x-x_2)^2}{2 sigma^2}[/tex]
I equated the equations and started to solve for x. I know you take the ln of both sides to get rid of e. But a few of my friends have 2ln2 in their answer...how do you get ln2? isn't it ln 1/2?