Friday, December 5, 2008

thresholding: cc analysis

200 * wavelength(82.5415nm) = 15um

This corresponds to our measured min-depth of grooves.

Previously, we used a histogram and try to find the population drop, based on the fact that bottom is thin and thus contains much less points than top. And tried to refine this value by applying a depth difference thresholding.

This method fails at noisy depth data and the changing depth of grooves, where bottom can be fairly close to some part of the top. And when top depths vary, they scatter into different histogram bins with huge population difference, making thresholding based on population very hard.

Failed methods and params
  1. rg_ratio_population_drop: values does not matter much
  2. delta_z: essential
  3. z_peak: most population, actual peak, bin_thresh+1
  4. thresh = mean/median (z_peak, z_btm)
The above data didn't prove robust.
thresh = z_most_popular - magic_thresh, i.e., 15um.

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