Feature #102

Implement mask on experimental data, which is propagated in GISASExperiment and correctly processed by multi-threading.

Added by pospelov about 8 years ago. Updated about 8 years ago.

Status:ArchivedStart date:09 Oct 2012
Priority:NormalDue date:
Assignee:herck% Done:

0%

Category:-
Target version:Sprint 7

Description

Mask is applied on experimental data in the form of OutputData, mask is propagated in GISASExperiment to not to calculate masked values and save time. GISASExperiment threads should take care about selecting equal parts of non-masked points for calculations. Mask is also used by FitSuite for calculation of chi2.

History

#1 Updated by pospelov about 8 years ago

  • Status changed from New to Backlog

#2 Updated by pospelov about 8 years ago

  • Status changed from Backlog to Sprint

#3 Updated by pospelov about 8 years ago

  • Target version set to Sprint 7

#4 Updated by pospelov about 8 years ago

  • Assignee set to pospelov

#5 Updated by pospelov about 8 years ago

  • Assignee deleted (pospelov)

#6 Updated by herck about 8 years ago

  • Assignee set to herck

To increase synchronicity between data and its mask, create a masked iterator.
This masked iterator can be parametrized by a masking function.

#7 Updated by herck about 8 years ago

  • Status changed from Sprint to Resolved

#8 Updated by herck about 8 years ago

  • Status changed from Resolved to Archived

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