本文整理匯總了Python中Direct.DirectEnergyConversion.DirectEnergyConversion.sum_monitors_spectra方法的典型用法代碼示例。如果您正苦於以下問題：Python DirectEnergyConversion.sum_monitors_spectra方法的具體用法？Python DirectEnergyConversion.sum_monitors_spectra怎麽用？Python DirectEnergyConversion.sum_monitors_spectra使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類Direct.DirectEnergyConversion.DirectEnergyConversion的用法示例。
在下文中一共展示了DirectEnergyConversion.sum_monitors_spectra方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_sum_monitors
# 需要導入模塊: from Direct.DirectEnergyConversion import DirectEnergyConversion [as 別名]
# 或者: from Direct.DirectEnergyConversion.DirectEnergyConversion import sum_monitors_spectra [as 別名]
def test_sum_monitors(self):
# create test workspace
monitor_ws=CreateSampleWorkspace(Function='Multiple Peaks', NumBanks=6, BankPixelWidth=1,\
NumEvents=100000, XUnit='Energy', XMin=3, XMax=200, BinWidth=0.1)
ConvertUnits(InputWorkspace=monitor_ws, OutputWorkspace='monitor_ws', Target='TOF')
# Rebin to "formally" make common bin boundaries as it is not considered as such
#any more after converting units (Is this a bug?)
xx = monitor_ws.readX(0)
x_min = min(xx[0],xx[-1])
x_max= max(xx[0],xx[-1])
x_step = (x_max-x_min)/(len(xx)-1)
monitor_ws = Rebin(monitor_ws,Params=[x_min,x_step,x_max])
monitor_ws = mtd['monitor_ws']
#
# keep this workspace for second test below -- clone and give
# special name for RunDescriptor to recognize as monitor workspace for
# fake data workspace we will provide.
_TMPmonitor_ws_monitors = CloneWorkspace(monitor_ws)
# Estimate energy from two monitors
ei,mon1_peak,mon1_index,tzero = \
GetEi(InputWorkspace=monitor_ws, Monitor1Spec=1,Monitor2Spec=4,
EnergyEstimate=62.2,FixEi=False)
self.assertAlmostEqual(ei,62.1449,3)
# Provide instrument parameter, necessary to define
# DirectEnergyConversion class properly
SetInstrumentParameter(monitor_ws,ParameterName='fix_ei',ParameterType='Number',Value='0')
SetInstrumentParameter(monitor_ws,DetectorList=[1,2,3,6],ParameterName='DelayTime',\
ParameterType='Number',Value='0.5')
SetInstrumentParameter(monitor_ws,ParameterName='mon2_norm_spec',\
ParameterType='Number',Value='1')
# initiate test reducer
tReducer = DirectEnergyConversion(monitor_ws.getInstrument())
tReducer.prop_man.ei_mon_spectra= ([1,2,3],6)
tReducer.prop_man.normalise_method = 'current'
tReducer.prop_man.mon2_norm_spec = 2
ei_mon_spectra = tReducer.prop_man.ei_mon_spectra
ei_mon_spectra,monitor_ws = tReducer.sum_monitors_spectra(monitor_ws,ei_mon_spectra)
#
# Check GetEi with summed monitors. Try to run separately.
ei1,mon1_peak,mon1_index,tzero = \
GetEi(InputWorkspace=monitor_ws, Monitor1Spec=1,Monitor2Spec=6,
EnergyEstimate=62.2,FixEi=False)
self.assertAlmostEqual(ei1,ei,2)
# Second test Check get_ei as part of the reduction
tReducer.prop_man.ei_mon_spectra= ([1,2,3],[4,5,6])
tReducer.prop_man.fix_ei = False
# DataWorkspace == monitor_ws data workspace is not used anyway. The only thing we
# use it for is to retrieve monitor workspace from Mantid using its name
ei2,mon1_peak2=tReducer.get_ei(monitor_ws,62.2)
self.assertAlmostEqual(ei2,64.95,2)
ei2b,mon1_peak2=tReducer.get_ei(monitor_ws,62.2)
self.assertAlmostEqual(ei2b,64.95,2)