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- AnalyseFALLOFF(falloff_data)
- Analyse the output from the program FALLOFF
- AnalyseIntegrateResponse(integrate_response)
- Analyse an integrate response to get information out for instance
the resolution of the data or the number of reflections
- CheckHeadersAreConsistent(image1, header1, image2, header2)
- Compare the contents of the two headers with the numbers
image1 and image2 and see if the two are consistent
- ClimbTree(penalty, lattices, this, penalties, up)
- ConsiderBestStrategy(mosflm_strategy, best_strategy)
- Combine the results from the Mosflm strategy and the BEST strategy
- ConsiderIndexResponses(index_response_dict)
- A method to compare a dictionary of index responses indexed by the
image number from which they were determined, and -1 for the
result of the combined indexing
- ConsiderIntegrateResponses(response_dict)
- Combine the results from many integrate responses
- ConsiderScaleReflectionsResponse(scale_reflections_response)
- ConsiderStrategyResponse(index_response, strategy_response)
- Digest the strategy response into something a little more manageable
- ConsiderUnconstrainedOrientation(a_matrix)
- This will consider the contents of an orientation matrix (a*, b*, c*)
from indexing and have a stab at the lattice. The matrix is a dictionary
keyed by 11, 12, 13, 21, 22, 23, 31, 32, 33.
- CreateHeader(first, image0, this)
- Create an appropriate image header for this based on image0
- DetectScrewAxes(axial_reflections)
- Detect axial reflections from the autocorrelation of axial
reflections
- EstimateResolution(integrated_image)
- Guess the resolution of the data from an integrated image
- GuessIOverSig(peaklist)
- Guess an appropriate i/sigma value to use for auto indexing
- LookForTwinningAcentric2(listOfValues)
- Look for signs of twinning in the second acentric moments
from TRUNCATE
- Score(lattice)
- SelectImagesForAutoindex(header, images)
- Takes the header from the first image and a list of
available images
- SelectImagesForCellRefinement(header, mosaic, images)
- Takes the header from the first image, the mosaic spread
and a list of available images - this assumes you want two wedges
- index_response_interpretation(index_parameters, index_response)
- nint(f)
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