McSAS 1.3
Changes in v1.3:
- Adjustable rebinning method for input data prior to fit process
- Optional lower and/or upper clipping of input data
- User extensible models: All models are dynamically loaded from
the models directory on startup. Just drop your own custom .PY
model file in there. Please, see the existing models for examples. - Complete fit configuration is written to HDF5 file .mh5
- Added intensity (vol²) and surface weighted histograms
- No default histogram ranges anymore, the user is asked for a range
if none is defined - Remembered histogram ranges for each model between program sessions
- Alternative Goodness-of-Fit indicator output added,
see [Henn 2016]: http://dx.doi.org/10.1107/S2053273316013206 - Current repetition included in progress log message
- Numerical results of series analysis written to a single file
for all active parameters - Internal UI improvements, removed unused/obsolete/redundant code
- Many bug fixes and small improvements
- Python3 compatibility, but standalone packages still use Python2