Normalising simplified proton distribution

In summary, the conversation discussed a simplified model of a proton's charge distribution, with a characteristic size of the proton denoted by R. The equation for the distribution was given as \rho (r) \propto (1/r)Exp(-r/R). The integral of this equation was found to be the exponential integral Ei(-r/R), but it was noted that it cannot be normalized. The conversation then mentioned the integral of \rho (r) = (4pi r^2 dr). (1/r)Exp(-r/R) and its convergence. Finally, the conversation ended with the conclusion that N = 1 / sqrt(2.pi.R) for the normalized probability.
  • #1
alfredbester
40
0
I tried asking this question in the maths help, but am still stuck.

Q. For a simplified model of a proton's charge distribution, (where R can be considered as some characteristic "size" of the proton):[tex] \rho [/tex](r) [tex] \propto [/tex] [tex](1/r)[/tex]Exp(- r / R) where R is some characteristic size of the proton.

With some help I've figured the integral to this solution is the exponentialintegral: Ei(-r/R) in the past when I'm asked to normalise something I'd take the limits from infinity to -infinity and find N so the probability is 1, here though the exponential integral can't be normalised from what I can see. Any pointers would be appreciated.
 
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  • #2
d^3r in spherical coords with no angular dependence is 4 pi r^2dr so the integral rho r^2 dr converges.
 
  • #3
So

[tex] \rho [/tex](r) = (4pi r^2 dr).(1/r)Exp(-r / R)

Integral from infinity to 0 of |[tex] \rho [/tex](r)|^2 = N^2 . [(1/r^2).Exp(-2r / R)]

is 1 = N^2. (4pi) [1 / (-2/R)] = N^2 .2piR => N = 1 / sqrt(2.pi.R)
 
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1. What is the purpose of normalizing simplified proton distribution?

The purpose of normalizing simplified proton distribution is to analyze and understand the distribution of protons within a given system. Normalization allows for easier comparison between different systems and helps to identify any anomalies or patterns in the distribution.

2. How is simplified proton distribution normalized?

Simplified proton distribution is normalized by dividing the number of protons in each energy level by the total number of protons in the system. This results in a normalized distribution where the sum of all energy levels equals one.

3. Why is normalizing simplified proton distribution important in scientific research?

Normalizing simplified proton distribution is important in scientific research because it allows for better understanding and analysis of proton distribution in various systems, such as atoms, molecules, and ions. It also helps to identify any trends or patterns in the distribution, which can provide valuable insights into the behavior of these systems.

4. What are the benefits of normalizing simplified proton distribution?

The benefits of normalizing simplified proton distribution include easier comparison between different systems, identification of patterns and anomalies, and improved understanding of the behavior of the systems being studied. Normalization also allows for more accurate calculations and predictions of the properties of these systems.

5. Are there any limitations to normalizing simplified proton distribution?

While normalization is a useful tool in analyzing proton distribution, it does have limitations. Normalization assumes that the distribution is uniform and does not take into account any variations or deviations from the expected distribution. It is important to also consider other factors and data when interpreting the results of normalized simplified proton distribution.

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