A Sampling Electrons from a 2D Projection: Is There a Functional Form?

AI Thread Summary
Electrons from a 3D Gaussian source in a uniform electric field create a 2D projection with more density at the edges than the center. The discussion seeks a functional form for this distribution to facilitate simulations. Suggestions include modeling the distribution based on the geometry of a sphere projected onto a plane and using a sine function to represent the percentage of electrons in concentric rings. The approach involves defining the radius of the circle and the rings to calculate the distribution. Overall, the conversation emphasizes the need for a mathematical framework to accurately sample electrons from the observed 2D projection.
Malamala
Messages
345
Reaction score
28
Hello! I have some electrons produced from a 3D gaussian source isotropically inside a uniform electric field. The electric field guides them towards a position sensitive detector and I end up with an image like the one below (with more electrons on the edge and fewer as you move towards the center). I want to run some simulations and for that I need to sample electrons from this 2D projection. Is there a functional form for this 2D distribution? Can someone point me towards some reading/Wikipedia page? Thank you!

electrons.png
 
Physics news on Phys.org
I don't know the distribution but the picture reminds me of the recent universe map that used logarithmic distances.

Also it looks like a sphere so that maybe you could assume equally spaced dots on a sphere projected onto a plane that slices the sphere in half.

Lastly, you might be able to construct the distribution using the value of a sin() function as the percentage of dots in a given ring around the center.

R = radius of your circle
r = radius of a ring

r/R = ranges from 0 to 1

##\frac{\pi}{2} \times \frac{r}{R}## = ranges from 0 to ##\pi/2##

percentage of dots in a ring = ##sin(\frac{\pi r}{2 R})##

or something like that -- your call.
 
Last edited:
Back
Top