Physics/Astronomy power spectrum from waveforms

In summary, the conversation discusses the calculation of power spectra for various waveforms. The first part involves finding the power at a specific frequency, while the second part asks for the Fourier transform of the signal in the time domain. The power spectrum is obtained by squaring the amplitude of the spectral function. The question also clarifies that mu_0 is actually nu_0.
  • #1
fasterthanjoao
731
1
phi(t)=A_o*e^(2*pi*i*mu_0*t) (label:1)

Calculate the power spectra of the following waveforms (using 1):

1) for all t
2) a pulse duration of two tau for |t|<tau, and for phi(t)=0

---

3)an exponentially decaying sinusoid:
phi(t)=A_0*(e^(-t/(2*tau)))*e^(2*pi*i*mu_0*t) for t>0
and phi(t)=0 for t<0.



note: A_0, mu_0 and tau are constants.phi(t) should be the signal in time domain. the question also specifies to sketch the real part of the waveform in the time domain and the power spectrum in the frequency domain.

---

For the first part of the question, I think I'm right in saying that the power in this wave is proportional to the amplitude squared, so |A_0|^2, and is concentrated at mu_0, and I'm working this out basically from what I know of sinusoids...

For the second part I'm not really sure what its asking, but i think i need to integrate, since the actual power spectrum is over all freqencies (so from minus to plus infinity), the signal in time domain (phi(t)) but bleh, I'm not really sure where I'm going after that.

(for that integral i get to (after simplifying)

A(mu)= int\phi(t)*e^(-2*pi*i*mu*t) dt (between minus/plus infinity)

)

sorry for the lack of latex, I'm a little rusty and it'd take me a while to work it out.. i'll try and get it but i'd like the post up asap.

thanks.
 
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  • #2
The question looks like it's asking you to perform Fourier transforms on some function of time f(t), to obtain a spectral function which is amplitude as a function of frequency F(w). So to do this question, you need to know what the Fourier transform of each of these waveforms are.

The power spectrum is just the modulus squared of F(w).

Also, mu_0 is a standard constant, namely the permeability of free space. I think you mean nu_0.

Claude.
 
  • #3


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Hello! Thank you for your question. I would like to provide a response to your query regarding the power spectrum of a waveform in physics and astronomy.

Firstly, the power spectrum of a waveform is a representation of the power or energy contained in the waveform at different frequencies. It is calculated by taking the Fourier transform of the waveform in the time domain.

Now, for the given waveform phi(t)=A_o*e^(2*pi*i*mu_0*t), the power spectrum would be concentrated at the frequency mu_0, with a power proportional to the square of the amplitude A_o. This is because the waveform is a sinusoid with a frequency of mu_0 and the power in a sinusoidal waveform is proportional to the square of its amplitude.

For the second part of the question, where the waveform is a pulse with a duration of 2 tau, the power spectrum would still be concentrated at the frequency mu_0, but the power would be spread out over a wider range of frequencies due to the shorter duration of the pulse. The power spectrum would also have a peak at mu_0 since that is the dominant frequency in the waveform.

Finally, for the third part of the question, where the waveform is an exponentially decaying sinusoid, the power spectrum would have a peak at the frequency mu_0 and would also show a gradual decrease in power as the frequency increases. This is because the exponential decay in the waveform causes the amplitude to decrease at higher frequencies.

To sketch the real part of the waveform in the time domain, you would plot the amplitude A_o as a function of time t. To sketch the power spectrum in the frequency domain, you would plot the power as a function of frequency mu. The power spectrum would have a peak at mu_0, and the shape of the graph would depend on the specific waveform.

I hope this response has been helpful in understanding the power spectrum of waveforms in physics and astronomy. Please let me know if you have any further questions or clarifications. Thank you.
 

1. What is a power spectrum in physics and astronomy?

A power spectrum is a way to analyze and describe the distribution of energy in a signal or waveform. In physics and astronomy, it is commonly used to study the distribution of energy in electromagnetic radiation or other physical phenomena.

2. How is a power spectrum calculated?

A power spectrum is typically calculated using a mathematical technique called Fourier analysis, which breaks down a signal into its component frequencies. The resulting power spectrum graph shows the strength or amplitude of each frequency in the signal.

3. What can a power spectrum tell us about a waveform?

A power spectrum can provide valuable insights into the underlying physical processes that produced the waveform. It can reveal the dominant frequencies present in the signal, the overall shape and structure of the waveform, and any patterns or correlations within the data.

4. How is a power spectrum used in astronomy?

In astronomy, power spectra are often used to study the properties of celestial objects and phenomena. For example, astronomers use power spectra to analyze the radiation emitted by stars, galaxies, and other objects in the universe, as well as to study the cosmic microwave background radiation and other cosmic phenomena.

5. Can a power spectrum be used to make predictions or forecasts?

Yes, in some cases, a power spectrum can be used to make predictions about future behavior or trends. For example, in meteorology, power spectra are used to analyze weather patterns and make short-term forecasts. In astrophysics, power spectra can also be used to predict the evolution of celestial objects and phenomena over time.

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