Changeset a9f579c in sasview for src/sas/sascalc/data_util

Timestamp:

Jan 17, 2017 2:18:58 PM (7 years ago)

Author:

jhbakker

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, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

aad41bb

Parents:

ef0e644

Message:

Manually added in all the SESANS modifications from Jurtest

File:

• src/sas/sascalc/data_util/qsmearing.py (modified) (5 diffs)

src/sas/sascalc/data_util/qsmearing.py

@@ -13 +13 @@
 import logging
 import sys
-
+from sasmodels import sesans
+import numpy as np  # type: ignore
+from numpy import pi, exp # type:ignore
 from sasmodels.resolution import Slit1D, Pinhole1D
+from sasmodels.sesans import SESANS1D
 from sasmodels.resolution2d import Pinhole2D
+from src.sas.sascalc.data_util.nxsunit import Converter
 
 def smear_selection(data, model = None):
@@ -36 +40 @@
     # Sanity check. If we are not dealing with a SAS Data1D
     # object, just return None
+    # This checks for 2D data (does not throw exception because fail is common)
     if  data.__class__.__name__ not in ['Data1D', 'Theory1D']:
         if data == None:
@@ -41 +46 @@
         elif data.dqx_data == None or data.dqy_data == None:
             return None
-        return PySmear2D(data, model)
-
+        return Pinhole2D(data)
+    # This checks for 1D data with smearing info in the data itself (again, fail is likely; no exceptions)
     if  not hasattr(data, "dx") and not hasattr(data, "dxl")\
          and not hasattr(data, "dxw"):
@@ -48 +53 @@
 
     # Look for resolution smearing data
+    # This is the code that checks for SESANS data; it looks for the file loader
+    # TODO: change other sanity checks to check for file loader instead of data structure?
+    _found_sesans = False
+    #if data.dx is not None and data.meta_data['loader']=='SESANS':
+    if data.dx is not None and data.isSesans:
+        #if data.dx[0] > 0.0:
+        if numpy.size(data.dx[data.dx <= 0]) == 0:
+            _found_sesans = True
+        # if data.dx[0] <= 0.0:
+        if numpy.size(data.dx[data.dx <= 0]) > 0:
+            raise ValueError('one or more of your dx values are negative, please check the data file!')
+
+    if _found_sesans == True:
+        #Pre-compute the Hankel matrix (H)
+        qmax, qunits = data.sample.zacceptance
+        hankel = sesans.SesansTransform()
+        sesans.SesansTransform.set_transform(hankel,
+        SE = Converter(data._xunit)(data.x, "A"),
+        zaccept = Converter(qunits)(qmax, "1/A"),
+        Rmax = 10000000)
+        # Then return the actual transform, as if it were a smearing function
+        return PySmear(SESANS1D(data, hankel._H0, hankel._H, hankel.q), model)
+
     _found_resolution = False
     if data.dx is not None and len(data.dx) == len(data.x):
@@ -92 +120 @@
         self.model = model
         self.resolution = resolution
-        self.offset = numpy.searchsorted(self.resolution.q_calc, self.resolution.q[0])
+
+        if hasattr(self.resolution, 'data'):
+            if self.resolution.data.meta_data['loader'] == 'SESANS':  # Always True if file extension is '.ses'!
+                self.offset = 0
+            # This is default behaviour, for future resolution/transform functions this needs to be revisited.
+            else:
+                self.offset = numpy.searchsorted(self.resolution.q_calc, self.resolution.q[0])
+        else:
+            self.offset = numpy.searchsorted(self.resolution.q_calc, self.resolution.q[0])
+
+        # self.offset = numpy.searchsorted(self.resolution.q_calc, self.resolution.q[0])
 
     def apply(self, iq_in, first_bin=0, last_bin=None):