Feature #120

Implement chisquared function that is filtered in frequency domain

Added by herck almost 8 years ago. Updated almost 8 years ago.

Status:ArchivedStart date:31 Oct 2012
Priority:NormalDue date:
Assignee:herck% Done:

0%

Category:-
Target version:Sprint 7

Description

Under the assumption that the simulation model is able to capture all structural characteristics of the scattering image, one would expect that the difference image (simulation - real data) for the best fit contains relatively small low frequency components when transformed to the frequency domain.
One could implement this reasoning into the minimizer by creating a chi-squared function as follows:
  1. Compute the Fourier transform of the difference map (OK)
  2. Apply a filter to this image, thereby putting higher weight on the lower frequency components (only cutoff filter is implemented)
  3. Finally, calculate a norm of this filtered map that will serve as the minimizing function

History

#1 Updated by herck almost 8 years ago

  • Status changed from Backlog to Sprint

#2 Updated by herck almost 8 years ago

  • Description updated (diff)

#3 Updated by herck almost 8 years ago

  • Target version set to Sprint 7

#4 Updated by herck almost 8 years ago

  • Description updated (diff)
  • Status changed from Sprint to Resolved

#5 Updated by herck almost 8 years ago

  • Status changed from Resolved to Archived

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