Suggestion: first look for a wavelength in metada. If it exists, convert Qx Qy to Qx,Qy,Qz (only works for SS sources). If not assume Qz=0 but provide warning as appropriate.
Ensure data object caries Qz and sigma Qz
Make sasmodels accept Qz properly
Ensure that Data math properly handles Qz
For plotting in 2D, project Z back to zero (as already done effectively)
Work with plotting refactor team to provide tools for 3D plotting (below)
Fitting 1D cuts of Anisotropic Data (Roadmap Section I)
Agree on method. Recommended using existing 2D and fitting only to restricted q range? What about resolution issues? Will this be fast enough? Are there other methods?
Design work
Implement (may require touching every model that can show anistropic data and/or updating appropriate sasmodel kernels)
Add ROI centroid calculator, including peak intensity
export peak intensities in a standard format
GUI
Add “base class” for multiple ROI selection
Possible light refactoring?
Batch processing:
Discuss/design workflows
Design implementation to work with existing slicer batch processor
Implement
Upgrade Data Math (Roadmap Section III)
Decide elements: add/sub/mul/div of 2 data sets or 1 data set and one scalar.
Decide how to handle 2 data sets where qs are not identical
Define how to build more extensive math by easy combination of above.
qx,qy,qz to hkl conversion - probably a new module?
Implement
Create SAND perspective (Roadmap Section III)
Initial Design
Create sasgui perspective
Implement design
Implement Parametric plotting which will need to interact with:
Math
New data objects with metadata
Sasmodels for peaks?
Slicers
*New plotting
Create sascalc perspective
Implement design
Visualization upgrades (Roadmap Section III)
Work with plotting refactor group
Add a few smoothing options to 2D plot options (Matplotlib has several built in)
Define other plotting options needed and implement
Determine how to add 3D visualization. Matplotlib has the capability but is not fast?
Produce prototypes to test ideas
Parametric plotting (using trends?)
Access to metadata “axes”
Define “autonomous workflows” (what do they look like)
Polarized beam workflow (Roadmap Section I)
Design work to produce at camp
Storyboarding visuals for various use cases
Choice of entry - part of fitting? Or does it have to be a separate fitting perspective? Preferably not for sustainability but …
Outline of modules that need to be written or edited.
GSC refactor: simplify user interface and allow for easier extensions (Roadmap Section II) - Cross-domain project
Design work to produce at camp
What are the separation points? e.g. creating real space model vs calculations? different methods of calculating? different communities (e.g. proteins in solution vs colloid vs magnetic materials)? How would parameterization of real space models fit? etc
Storyboarding visuals for various use cases: how does the GUI and choices present to the user?
design standard interfaces (API) for the pieces to communicate