Spontaneous Random Neutron Generation in a Spher

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SUMMARY

The discussion revolves around calculating the average distance a neutron travels before striking the surface of a hollow sphere of radius R, as presented in Arfken and Weber's textbook. The derived formula for the mean distance is given as 3/2 R multiplied by a double integral involving spherical coordinates. The user expresses confusion regarding why the average distance is not simply R/2, despite the assumption of uniform distribution and isotropy. The conversation highlights the complexity of integrating in spherical coordinates and the physical implications of the mathematical formulation.

PREREQUISITES
  • Understanding of spherical coordinates and integration techniques
  • Familiarity with neutron behavior in nuclear reactions
  • Basic knowledge of calculus, particularly double integrals
  • Concept of isotropy in particle distribution
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  • Study the derivation of the mean distance formula in spherical coordinates
  • Explore the physical significance of neutron behavior in nuclear reactions
  • Learn about the Laplacian operator in spherical coordinates
  • Investigate convergence tests in mathematical analysis for further understanding
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Students and professionals in physics, particularly those studying nuclear physics and mathematical methods in physics, will benefit from this discussion. Additionally, mathematicians interested in integration techniques and convergence tests will find valuable insights.

Enjolras1789
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This question concerns a problem in Arfken and Weber (from the infinite series chapter, after the power series section). I went to the homework section, and the titles beneath each section specifically imply that a question from a graduate book is inappropriate for that section. I thus post it here. I apologize if this is the wrong place.

The problem reads,"Neutrons are created by a nuclear reaction inside a hollow sphere of radius R. The newly created neutrons are uniformly distributed over the spherical volume. Assuming that all directions are equally probable, what is the average distance a neutron will travel before striking the surface of the sphere? Assume straight line motion, no collisions." It then goes on to give steps on the way of the answer, one stating that the result is that

mean distance = 3/2 R integral( 0 to 1) integral (0 to pi) square root [(1-K*K sin(theta)*sin(theta)] K*K* dk sin(theta) d(theta)

No, I have no idea what K is physically, except by the nature of of what looks like the differential element at the end (but I am confused as to how one might get a distance variable inside a square root times sine of the angle).

Although help in working toward this answer would be appreciated, my request is more meager. I don't understand why the answer isn't simply R/2. If particles are spontaneously forming uniformly in a sphere, and there is total isotropy in direction, and no collisions, I would think that the mean distance traveled by a particle until colliding with the surface would be simply R/2. Why isn't it that simple?
 
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Well the equation you gave looks like an integration in spherical coordinates.
Isn't k^2 sin^2(theta) = x^2 + y^2 (in Cartesian coordinates) ?
 
Perhaps you mean a LaPlacian in spherical coordinates? That was my thought, that somehow the 1/(r*r sin(theta) sin(theta)) term in front of the partial derivative of the function with respect to phi. However, it's not obvious to me why I would take a LaPlacian of something, seeing as I physically do not understand why the problem isn't very simple to just being R/2
 
No, I meant an integration:

\iiint_V f(x, y, z) dx dy dz = \iiint f(r \cos\phi \sin\theta, r \sin\phi \sin\theta, r \cos\theta) r^2 \sin^2\theta dr d\theta d\phi

In this case, you would have f(x, y, z) = 3/2 R sqroot(1 - x^2 - y^2)
If (x, y, z) is on a sphere of radius R, that's just 3/2 R sqroot(z^2).

I'm not really into this material, but that's the mathematics I see in there; probably you can relate it to something physical more easily than I can...
 
You are good; thank you very much for your insight in seeing that form. I will try to understand why it is that this functional form of f is the case. PS, if you are more the mathematician type, I posed a question in the Analysis section of PF that I am very curious about concerning the "best" convergence tests to use.
 

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