A MCP Detector Resolution: Gaussian vs Uniform Distribution

AI Thread Summary
When modeling the time and spatial resolution of an MCP detector, the choice between Gaussian and uniform distribution depends on the specific characteristics of the detector. The spatial resolution is primarily determined by the spacing between pores in the MCP plate, which is generally around 10 microns, rather than the camera pixel size. The presence of a phosphor and any lenses used in the imaging process also play a crucial role in resolution. Therefore, while a uniform distribution may seem appropriate due to pixel size, the actual resolution factors are more complex. Understanding these elements is essential for accurate modeling of MCP detector performance.
Malamala
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Hello! If I want to model the time and spatial resolution of an MCP detector, should I use a gaussian or a uniform distribution? I imagine that, for example for the spatial distribution, the uncertainty is given by the size of the pixel on the detector, which makes me think that uniform distribution would be more appropriate.
 
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What do you mean by pixels? Does your MCP have a phosphor and a camera?

Even so, the resolution of an MCP will be set by the spacing between pores in the MCP plate, not by the camera pixels. This spacing is typically of order 10 microns. If you're imaging a phosphor, you will need to factor in any lenses you use.
 

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