Fourier transformation: power spectrum

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The discussion centers on using the Monte-Carlo method to generate harmonic spectra in intense laser-atom physics by analyzing the trajectory of an electron in a 3D hydrogen system. The user seeks clarification on whether the Fourier transformation of the electron's trajectory can be directly applied to obtain the harmonic spectrum. The Wiener-Khinchin theorem is suggested as a relevant theoretical framework for this analysis. Additionally, the user inquires about calculating the autocorrelation function for the electron's motion in three-dimensional space. Understanding these concepts is crucial for accurately deriving the harmonic spectrum.
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Lots of works about the high-order harmonic generation in the intense laser-atom physics obtain the harmonic spectrum by Fourier transformation of the dipole moment d(t) (=\int\varphi\varphi^{*}z):
p(\omega)=|\frac{1}{tf-ti}\int d(t)exp(-i\omega)dt|^{2}


Here, I want to use the Monte-Carlo method to generate the Harmonics. The trajectory r(t) of an electron in 3D Hydrogen system can be get. Then how can I obtain the harmonic spectrum for one electron? Can I use the Fourier transformation of r(t) directly?
p(\omega)=|\frac{1}{tf-ti}\int r(t)*cos(\theta)exp(-i\omega)dt|^{2}
Thank you!
 
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I suggest looking up the Wiener Khinchin theorem.
 
IPart said:
I suggest looking up the Wiener Khinchin theorem.

Thank you! :)
Happy New Year!
 
IPart said:
I suggest looking up the Wiener Khinchin theorem.

Yesterday, I look up the Wiener Khinchin theorem. (http://en.wikipedia.org/wiki/Wiener–Khinchin_theorem)
The paper shows what the Wiener Khinchin theorem is and how we can use this theory.
Here I have another question:
Usually, the electron moves around the proton in the real space. x(t) is in the 3 dimensional spatial coordinate.
If we want to use the Wiener Khinchin theorem, first we need calculate the autocorrelation function.
My question is if x(t) is in the 3 dimensional spatial coordinate, how can we calculate the autocorrelation function?
Thank you!
 
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