What Causes the Higher Peaks and Damping Tail in the CMB Power Spectrum?

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In summary: This is because the CMB was emitted over a period of time (billions of years) and the plasma in the early universe transitioned from a gas to a plasma. This process causes the image of the CMB to be blurry and the short-wavelength signals to be suppressed.
  • #1
gluon
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Hello,can someone tell me the physical process ,which occurs before recombination, which is giving the higher peaks and the damping tail at cmb power spectrum?
 
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  • #2
gluon said:
Hello,can someone tell me the physical process ,which occurs before recombination, which is giving the higher peaks and the damping tail at cmb power spectrum?
The first (longest-wavelength) peak is a distance scale where matter had just enough time to fall into a gravitational potential well of that length scale. The second (shorter wavelength) peak is matter that had enough time to fall in and then, due to pressure, bounce back out. The third is matter that had the time to fall in, bounce out, then fall back in again.

Dark matter only contributes to the odd-numbered peaks, as it doesn't experience pressure.

The damping tail is due to a different effect: the CMB wasn't emitted instantaneously. It took time for the plasma in the early universe to transition to a gas, and this causes our image of the CMB to be blurry. Instead of seeing a crisp slice of the early-universe plasma, we see a thick, cloudy surface. This manifests by suppressing the short-wavelength signal.
 
  • #3
why shorter wavelengths in the damping tail have so low contribution in the power spectrum?the amplitude of temprature variations of second and third peak is reducing because gravity and pressure is out of phase?
 
  • #4
About even and odd peaks, Wayne Hu (U Chicago) has a webpage
http://background.uchicago.edu/~whu/intermediate/baryons.html
==quote==
Remember what happens when you add mass to a spring and let it fall in the gravitational field of the Earth. With more mass loading the spring, it falls further before pulled back by the spring. On the other hand, it rebounds to the same position it started from.

Since the odd numbered (first, third, fifth...) acoustic peaks are associated with how far the plasma "falls" into gravitational potential wells (how much the plasma compresses), they are enhanced by an increase in the amount of baryons in the universe. The even numbered peaks (second, fourth, sixth) are associated with how far the plasma "rebounds" (how much the plasma rarefies). Thus with the addition of baryons the odd peaks are enhanced over the even peaks. For example, baryons make the first acoustic peak much larger than the second. The more baryons the more the second peak is relatively suppressed.
==endquote==
 
  • #5
gluon said:
why shorter wavelengths in the damping tail have so low contribution in the power spectrum?the amplitude of temprature variations of second and third peak is reducing because gravity and pressure is out of phase?
As I said above, the reason the shorter-wavelength peaks have smaller amplitudes is because our image of the surface of last scattering is blurry (the surface of last scattering is the matter that emitted the CMB).
 

Related to What Causes the Higher Peaks and Damping Tail in the CMB Power Spectrum?

1. What is the significance of higher peaks in data analysis?

Higher peaks in data analysis indicate a higher frequency or intensity of a particular data point. This can be useful in identifying patterns and trends in the data, as well as potential outliers or anomalies.

2. How do higher peaks affect the overall shape of a data set?

Higher peaks can greatly impact the shape of a data set. They can make the distribution more skewed, or they can indicate a concentration of data points around a specific value. Higher peaks can also make it more difficult to accurately measure the central tendency of the data.

3. What is a damping tail in relation to data analysis?

A damping tail is a gradual decrease in the frequency or intensity of data points as they move away from the higher peaks. This can be seen as a smoothing effect on the data, and can help to identify the overall trend or pattern in the data set.

4. How can damping tails affect the accuracy of data analysis?

Damping tails can make it more difficult to accurately measure the true central tendency of the data, as they can mask the presence of outliers or anomalies. However, they can also provide valuable information about the overall trend and pattern in the data set.

5. What are some common methods for dealing with higher peaks and damping tails in data analysis?

Some common methods for dealing with higher peaks and damping tails in data analysis include using logarithmic scales, transforming the data, or using robust statistical measures. It is important to carefully consider the data and the purpose of the analysis before choosing a method to address these phenomena.

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