def test_tof(self):
# D33 VTOF
SANSILLReduction(Run='093410', ProcessAs='Sample', OutputWorkspace='sample')
# TOF resolution is not yet implemented
SANSILLIntegration(InputWorkspace='sample', OutputWorkspace='iq')
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 217)
def test_monochromatic(self):
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
CalculateResolution='MildnerCarpenter')
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 88)
self.assertTrue(mtd['iq'].hasDx(0))
def test_with_bin_range(self):
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
OutputBinning=[0.001, 0.03])
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 73)
self.assertTrue(mtd['iq'].hasDx(0))
def test_with_bin_width_and_range(self):
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
OutputBinning=[0.001, -0.1, 0.03],
CalculateResolution='MildnerCarpenter')
self._check_output(mtd['iq'])
self.assertTrue(mtd['iq'].hasDx(0))
def test_with_bin_width(self):
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
OutputBinning=-0.1)
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 51)
self.assertTrue(mtd['iq'].hasDx(0))
def test_resolution_binning(self):
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
DefaultQBinning='ResolutionBased')
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 37)
self.assertTrue(mtd['iq'].hasDx(0))
def test_monochromatic_2D(self):
SANSILLIntegration(InputWorkspace='sample', OutputWorkspace='iq', OutputType='I(Qx,Qy)', MaxQxy=0.03, DeltaQ=0.001)
self._check_output(mtd['iq'], 60)
self.assertEqual(mtd['iq'].blocksize(), 60)
qy_axis = mtd['iq'].getAxis(1)
self.assertTrue(qy_axis.isNumeric())
self.assertEqual(len(qy_axis),61)
self.assertEqual(qy_axis.getUnit().unitID(), "MomentumTransfer")
def test_custom_binning(self):
binning = [0.001, 0.005, 0.006, 0.01, 0.016]
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
OutputBinning=binning)
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 2)
self.assertTrue(mtd['iq'].hasDx(0))
def test_monochromatic_cake(self):
SANSILLIntegration(InputWorkspace='sample', OutputWorkspace='iq', OutputType='I(Phi,Q)', NumberOfWedges=36, CalculateResolution='MildnerCarpenter')
self._check_output(mtd['iq'], 36)
self.assertEqual(mtd['iq'].blocksize(), 88)
azimuth_axis = mtd['iq'].getAxis(1)
self.assertTrue(azimuth_axis.isNumeric())
self.assertEqual(len(azimuth_axis),36)
self.assertEqual(azimuth_axis.getUnit().unitID(), "Phi")
for phi in range(36):
self.assertTrue(mtd['iq'].hasDx(phi))
def test_monochromatic_with_wedges(self):
SANSILLIntegration(InputWorkspace='sample', OutputWorkspace='iq', NumberOfWedges=2, WedgeWorkspace='wedges', CalculateResolution='MildnerCarpenter')
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 88)
self.assertTrue(mtd['iq'].hasDx(0))
self.assertTrue(mtd['wedges'])
self.assertTrue(isinstance(mtd['wedges'], WorkspaceGroup))
self.assertEqual(mtd['wedges'].getNumberOfEntries(), 2)
for wedge in range(2):
self._check_output(mtd['wedges'].getItem(wedge))
self.assertEqual(mtd['wedges'].getItem(wedge).blocksize(), 88)
self.assertTrue(mtd['iq'].hasDx(0))
def test_with_bin_width_and_range(self):
SANSILLIntegration(InputWorkspace='sample',
OutputWorkspace='iq',
OutputBinning=[0.001, -0.1, 0.03])
self._check_output(mtd['iq'])
self.assertTrue(mtd['iq'].hasDx(0))
def test_monochromatic(self):
SANSILLIntegration(InputWorkspace='sample', OutputWorkspace='iq')
self._check_output(mtd['iq'])
self.assertEqual(mtd['iq'].blocksize(), 88)
self.assertTrue(mtd['iq'].hasDx(0))
