Ticket #316 (closed: fixed)

Opened 12 years ago

Last modified 5 years ago

Cross Correlation Algorithm

Reported by: Laurent Chapon Owned by: Laurent Chapon
Priority: major Milestone: Iteration 16
Component: Keywords:
Cc: Blocked By:
Blocking: Tester:

Description

Create a cross correlation algorithm. This is required when determining offsets between a detector and a reference detector. This is used for example in determining a calibration table for diffraction focusing.

Change History

comment:1 Changed 12 years ago by Laurent Chapon

(In [1735]) re#316 Add getSpectraIndexMap method to Axis class. This returns a unordered_map<int,int> (or map<int,int> for MVSC :)) that contains correspondence between spectra number and spectra index. Needed by CrossCorrelate algorithms

comment:2 Changed 12 years ago by Laurent Chapon

(In [1736]) re#316 First part of the cross-correlate algorithm. Incomplete

comment:3 Changed 12 years ago by Laurent Chapon

(In [1757]) re#316 First version of the cross correlated algorithm. Need to propagate the error bars and optimize.

comment:4 Changed 12 years ago by Laurent Chapon

(In [1758]) re#316 Added [x_min,x_max] range to CrossCorrelate algorithm

comment:5 Changed 12 years ago by Laurent Chapon

(In [1759]) re#316 Detector information correctly copied from inputWorkspace to output. Check validity of the CC function on HRPD data and GEM data.

comment:6 Changed 12 years ago by Laurent Chapon

(In [1770]) re#316 Error bars now propagated

comment:7 Changed 12 years ago by Nick Draper

  • Milestone changed from Iteration 14 to Iteration 15

comment:8 Changed 12 years ago by Nick Draper

  • Milestone changed from Iteration 15 to Iteration 16

Batch move uncompleted tickes to next iteration

comment:9 Changed 11 years ago by Nick Draper

  • Status changed from new to closed
  • Resolution set to fixed

comment:10 Changed 5 years ago by Stuart Campbell

This ticket has been transferred to github issue ​1164

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