January 14 2003
Fit average curvatures with Gaussian distributions (1409 atoms)
The sum of three Gaussian distributions have been used to fit the average
curvature distributions. The fitting Gaussian distribution function is
given as:
f = a0 / sigma * exp( - ( x - <x> )^2 / 2 / sigma^2 )
Because the integral of the density function is 1 (here with a factor of
1/sqrt(2*PI)), a0 is the fraction of the peak, which is propotional to number
of particles.
The peak value
p = f ( <x> ) = a0 / sigma
For each Gaussian peak, there are three independent parameters:
(p, sigma, <x>) or (a0, sigma, $lt;x>).
Fraction of a0
Parameters of three Gaussian peaks
|
p
|
sigma
|
<x>
|
Peak 1
|
|
|
|
Peak 2
|
 |
 |
 |
Peak 3
|
 |
 |
 |
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293K
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508K
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706K
807K
966K
989K
1478K