Equation for 2D Dose Distribution: Solving for Any Point on the Surface

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Discussion Overview

The discussion revolves around finding a formula for a 2D dose distribution related to a radioactive source. Participants explore methods to calculate the dose at specific angles and distances from a point, considering various mathematical approaches and models.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant seeks a formula to determine the dose at any point on a 2D surface, similar to the equation of a straight line.
  • Another participant suggests using linear interpolation, proposing the equation z=mx+ny+c as a potential method.
  • A participant describes the dose distribution as resembling an exponential fall-off around a radioactive source and inquires about the suitability of polynomial fits for this type of distribution.
  • One participant asserts that polynomials can fit any reasonable distribution if the grid is sufficiently fine and recommends incorporating physical models like exponential decay or the 1/r² law for improved accuracy.

Areas of Agreement / Disagreement

Participants express varying opinions on the best mathematical approach to model the dose distribution, with no consensus reached on a specific method or formula.

Contextual Notes

The discussion includes assumptions about the nature of the dose distribution and the effectiveness of different mathematical models, but these assumptions remain unresolved.

wopp
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Hi there,

I have a table with two variables that relates to a 2d dose distribution and need to determine a formula that will solve for any point on that surface. Similar to determining the equation of a straight line with a few points (y = mx +c) to then be able to calculate any point on the line.

For example, what i need to calculate: The dose at a specific angle and distance from a point is...
(each parameter is in relation to a single point).

It will save me a LOT of time and effort looking up values and interpolating between them in work, so any help would be appreciated! Even to point me to a resource that explains the method.

Thank you in advance!
 
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How does that distribution look like? You can use a linear interpolation there as well: z=mx+ny+c.
Other functions might be better, and this Wikipedia article could be interesting.
 
mfb said:
How does that distribution look like? You can use a linear interpolation there as well: z=mx+ny+c.
Other functions might be better, and this Wikipedia article could be interesting.

Thank you for the quick reply, its much appreciated!

The distribution represents a dose distribution around a radioactive source so its similar to an exponential fall-off. The wiki link you sent me has distributions similar to what I am looking at actually!

Would a type of polynomial fit work for something of that nature?
 
If the grid is fine enough, polynomials will always fit to any reasonable distribution.
You could try to include your physics model (exponential, 1/r^2-law, ...) in the functions to get more accuracy even with less grid cells.
 

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