Engineering Plotting a Guassian FWHM = 1 ns

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SUMMARY

The discussion focuses on plotting a Gaussian distribution with a Full Width at Half Maximum (FWHM) of 1 ns using MATLAB. The correct value for sigma, derived from the formula FWHM = 2√(2ln(2))σ, is crucial for accurate plotting. The participants confirm that with σ set to approximately 0.1 ns, the resulting FWHM is about 2.7 ns, indicating a need for adjustment. The derived values for voltage at specific time intervals are also provided, showcasing the Gaussian function's behavior.

PREREQUISITES
  • Understanding of Gaussian distributions
  • Familiarity with MATLAB for plotting
  • Knowledge of mathematical functions and logarithms
  • Basic concepts of Full Width at Half Maximum (FWHM)
NEXT STEPS
  • Learn how to implement Gaussian functions in MATLAB
  • Study the derivation of FWHM in Gaussian distributions
  • Explore the implications of sigma on Gaussian shape and width
  • Investigate the use of logarithmic functions in statistical analysis
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Mathematicians, engineers, and data scientists interested in statistical modeling, signal processing, and anyone utilizing MATLAB for Gaussian distribution analysis.

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Homework Statement
Graph a guassian pulse when the FWHM is approximately 1 ns
Relevant Equations
$$V(t) = \frac{1}{\sqrt{2\pi}\sigma}e^{\frac{-t^2}{2\sigma^2}}$$
Simply plugging this into software like MATLAB will present a solid guassian distrubution. However, my doubt comes from selecting the correct sigma.

t = - 10 ns to + 10 ns
##\sigma## = 0.1 ns

This produces a plot like so,
1638757460650.png
 
Last edited:
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Am I right in thinking the graphed function has a FWHM of about 2.7 ns ?
 
Baluncore said:
Am I right in thinking the graphed function has a FWHM of about 2.7 ns ?
Yes, I was just trying to supply an example guassian. The derived formula for FWHM is as follows, which you can solve for ##\sigma##.
$$FWHM = 2\sqrt{2ln(2)}\sigma$$
 
Maybe you are including sigma in the square root of one or both equations.
Move sigma from the tail to the head.
FWHM = sigma * 2 * Sqr( 2 * Log( 2 ) )
V(t) = Exp( -0.5 * ( t / sigma)^2 ) / ( sigma * Sqr( 2 * Pi ) )
FWHM = 1 nsec
sigma = 4.2466e-10
t= -0.5 ns; v = 469718639.350
t = 0; max v = 939437278.700
t= +0.5 ns; v = 469718639.350
 
Last edited:

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