Changes between Version 2 and Version 3 of CodeCampIV/Planning/WorkingGroups/SasmodelsMinutes


Ignore:
Timestamp:
Mar 15, 2016 11:39:14 AM (9 years ago)
Author:
pkienzle
Comment:

—

Legend:

Unmodified
Added
Removed
Modified

  • CodeCampIV/Planning/WorkingGroups/SasmodelsMinutes

    v2 v3  
    11Autogenerated parts of the model 
    22    - magnetism on each of the sld parameters 
    3     - vector parameters 
    4     - tied parameters 
    5     - linearize for loop 
    6     - need an easy way to reparameterize an existing model 
    7     - can't currently reference other models from within one model 
     3    - linearize for loop to avoid OpenCL problems when model runs too long 
    84    - autogenerate figures for docs from  demo parameters (or maybe default) 
     5    - (enhancement) vector parameters 
     6    - (enhancement) tied parameters 
     7    - (enhancement) need an easy way to reparameterize an existing model 
     8    - (enhancement) can't currently reference other models from within one model 
    99 
    1010Existing models 
    … …  
    2020      
    2121 
    22 Parameter enhancements 
    23     - display ER and VR when available 
    24     - access to effective radius in constraints 
    25     - don't use automatic constraint to set effective radius in product model 
    26     - *enhancement* allow model to define the derived parameters (possibly polydisperse) 
    27     - allow parameters not part of existing models for use in constraints (e.g., by having a zero model with k parameters) 
    28  
    2922 
    3023GUI aspects 
    … …  
    3326    - can we do mixture models "on the fly" 
    3427 
     28Parameter enhancements 
     29    - display ER and VR when available 
     30    - access to effective radius in constraints 
     31    - don't use automatic constraint to set effective radius in product model 
     32    - allow model to define the derived parameters (possibly polydisperse) 
     33    - allow parameters not part of existing models for use in constraints (e.g., by having a zero model with k parameters) 
     34 
    3535Fitting Enhancements 
    3636    - integer parameters not fit properly 
    … …  
    3838    - downsampling SAXS data 
    3939    - assign cost to structure in the residuals 
    40     - mask of middle part of data (e. g., spurions) 
     40    - mask of middle part of data (e. g., spur ions)