本文整理汇总了Python中EnggUtils.applyVanadiumCorrection方法的典型用法代码示例。如果您正苦于以下问题：Python EnggUtils.applyVanadiumCorrection方法的具体用法？Python EnggUtils.applyVanadiumCorrection怎么用？Python EnggUtils.applyVanadiumCorrection使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类EnggUtils的用法示例。
在下文中一共展示了EnggUtils.applyVanadiumCorrection方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: PyExec
# 需要导入模块: import EnggUtils [as 别名]
# 或者: from EnggUtils import applyVanadiumCorrection [as 别名]
def PyExec(self):
# Get peaks in dSpacing from file, and check we have what we need, before doing anything
expectedPeaksD = EnggUtils.readInExpectedPeaks(self.getPropertyValue("ExpectedPeaksFromFile"),
self.getProperty('ExpectedPeaks').value)
if len(expectedPeaksD) < 1:
raise ValueError("Cannot run this algorithm without any input expected peaks")
inWS = self.getProperty('Workspace').value
WSIndices = EnggUtils.getWsIndicesFromInProperties(inWS, self.getProperty('Bank').value,
self.getProperty(self.INDICES_PROP_NAME).value)
vanWS = self.getProperty("VanadiumWorkspace").value
# These corrections rely on ToF<->Dspacing conversions, so ideally they'd be done after the
# calibration step, which creates a cycle / chicken-and-egg issue.
EnggUtils.applyVanadiumCorrection(self, inWS, vanWS)
rebinnedWS = self._prepareWsForFitting(inWS)
posTbl = self._calculateCalibPositionsTbl(rebinnedWS, WSIndices, expectedPeaksD)
# Produce 2 results: 'output table' and 'apply calibration' + (optional) calibration file
self.setProperty("OutDetPosTable", posTbl)
self._applyCalibrationTable(inWS, posTbl)
self._outputDetPosFile(self.getPropertyValue('OutDetPosFilename'), posTbl)示例2: PyExec
# 需要导入模块: import EnggUtils [as 别名]
# 或者: from EnggUtils import applyVanadiumCorrection [as 别名]
def PyExec(self):
import EnggUtils
# Get the run workspace
ws = self.getProperty('InputWorkspace').value
# Get spectra indices either from bank or direct list of indices, checking for errors
bank = self.getProperty('Bank').value
spectra = self.getProperty(self.INDICES_PROP_NAME).value
indices = EnggUtils.getWsIndicesFromInProperties(ws, bank, spectra)
# Leave the data for the bank we are interested in only
ws = EnggUtils.cropData(self, ws, indices)
# Apply calibration
detPos = self.getProperty("DetectorPositions").value
if detPos:
self._applyCalibration(ws, detPos)
# Leave data for the same bank in the vanadium workspace too
vanWS = self.getProperty("VanadiumWorkspace").value
# if it is raw data (not precalculated curve), needs to be cropped
if EnggUtils.vanadiumWorkspaceIsPrecalculated(ws):
vanWS = EnggUtils.cropData(self, vanWS, indices)
# These corrections rely on ToF<->Dspacing conversions, so they're done after the calibration step
vanFittingWS = EnggUtils.applyVanadiumCorrection(self, ws, vanWS,
self.getProperty('VanadiumIntegWorkspace').value)
# Convert to dSpacing
ws = EnggUtils.convertToDSpacing(self, ws)
# Sum the values
ws = EnggUtils.sumSpectra(self, ws)
# Convert back to time of flight
ws = EnggUtils.convertToToF(self, ws)
# OpenGenie displays distributions instead of pure counts (this is done implicitly when
# converting units), so I guess that's what users will expect
self._convertToDistr(ws)
self.setProperty("OutputWorkspace", ws)
# optinally, generate the workspace with per-bank vanadium fitting curves
outVanWSName = self.getPropertyValue('OutVanadiumCurveFits')
if outVanWSName:
mtd[outVanWSName] = vanFittingWS