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Notice the distortion on the yag. This is because the beam goes through the cathode and its nonlinear optics before showing up on the yag screen.
Data
The page Accelerator Beam finding - Internal Notes talks about the data and code, page has restricted access.
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- this is a vcc screen, and the location of the beam has been labeled with the white box.
- We want to use machine learning to predict these box locations.
- The dataset contains vcc screens and YAG screens - two different datasets, currently looking at training two different models - a YAG predictor and a VCC predictor.
Description
There are 3 files, called 1,2 and 4.
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yag: inter/union accuracies: th=0.50 acc=0.89 th=0.20 acc=0.97 th=0.01 acc=0.98
vcc: inter/union accuracies: th=0.50 acc=0.09 th=0.20 acc=0.38 th=0.01 acc=0.66
Preprocessing Plot
Here is a plot of the preprocessing - the main benefit from it is the de-noising, which is not as apparent in this plot
Here are plots to show the regression results
vcc median+Gaussian Blur
yag median+Guassian Blur
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