Changeset dd5bf63 in sasview for src/sas/sasgui/plottools/fittings.py

Timestamp:

Jul 10, 2016 11:40:42 PM (8 years ago)

Author:

butler

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

c23f303, 77d92cd, d398285

Parents:

3409a90

Message:

close #590. A lot of problems were caused by LineModel? and LinerFit?
having different equations (ax+b vs a+bx). Further errors in
calculations, particularly of uncertainties were fixed. The fact that
the fits to not account for smearing was verified and a warning added.
Code was also modified to update the qmin and qmax to match changes in
the transformed xmin xmax. Lots of documentation was added and the
fitdialog layout was cleaned up considerably. This is now usable though
the design of the user interface (and the whole design of linear fits)
could use a rethink.

File:

• src/sas/sasgui/plottools/fittings.py (modified) (2 diffs)

src/sas/sasgui/plottools/fittings.py

@@ -1 +1 @@
 """
+This module is used to fit a set of x,y data to a model passed to it. It is
+used to calculate the slope and intercepts for the linearized fits.  Two things
+should be noted:
+
+First, this fitting module uses the NLLSQ module of SciPy rather than a linear
+fit.  This along with a few other modules could probably be removed if we
+move to a linear regression approach.
+
+Second, this infrastructure does not allow for resolution smearing of the 
+the models.  Hence the results are not that accurate even for pinhole
+collimation of SANS but may be good for SAXS.  It is completely wrong for 
+slit smeared data. 
+
 """
 from scipy import optimize
@@ -6 +19 @@
 class Parameter(object):
     """
-    Class to handle model parameters
+    Class to handle model parameters - sets the parameters and their
+    initial value from the model based to it.
     """
     def __init__(self, model, name, value=None):