Scan different gains of the image intensifier and find a saturating point.
Context and background knowledge
After setting up a timepix detector, we need to optimize the gain of the image intensifier.
Inputs
Collected timepix image and image intensifier gain (timestamp needed)
Methodology
As increasing/decreasing gain, the detector should have inconsistent increasing/decreasing of intensities along the (?)...
We compare n+1th image with nth image and find where this effect disappears(saturates).
$$intensities(gain{n+1}) / intensities(gain{n})$$
Should be a flat line.
Outputs
nth gain where saturation starts.
Gain scanning results.
Which interfaces are required?
Python module / function, Jupyter notebook
Test cases
TODO: We need a timepix image intensifier optimization test file.
Executive summary
Scan different gains of the image intensifier and find a saturating point.
Context and background knowledge
After setting up a timepix detector, we need to optimize the gain of the image intensifier.
Inputs
Collected timepix image and image intensifier gain (timestamp needed)
Methodology
As increasing/decreasing gain, the detector should have inconsistent increasing/decreasing of intensities along the (?)... We compare
n+1th image withnth image and find where this effect disappears(saturates).$$intensities(gain{n+1}) / intensities(gain{n})$$
Should be a flat line.
Outputs
nth gain where saturation starts.Which interfaces are required?
Python module / function, Jupyter notebook
Test cases
TODO: We need a timepix image intensifier optimization test file.
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