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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?
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.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?
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).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?
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.
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.
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.
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.
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.