ess.sans.normalization.normalize_q#

ess.sans.normalization.normalize_q(numerator, denominator, return_events, uncertainties, wavelength_bands)[source]#

Perform normalization of counts as a function of Q. If the numerator contains events, we use the sc.lookup function to perform the division.

Parameters:

numerator (CleanSummedQ[TypeVar(ScatteringRunType, types.SampleRun (int), types.BackgroundRun (int)), types.Numerator (scipp.DataArray)]) – The data whose counts will be divided by the denominator. This can either be event or dense (histogrammed) data.
denominator (CleanSummedQ[TypeVar(ScatteringRunType, types.SampleRun (int), types.BackgroundRun (int)), types.Denominator (scipp.DataArray)]) – The divisor for the normalization operation. This cannot be event data, it must contain histogrammed data.
return_events (types.ReturnEvents (bool)) – Whether to return the result as event data or histogrammed data.
wavelength_bands (types.ProcessedWavelengthBands (scipp.Variable)) – Defines bands in wavelength that can be used to separate different wavelength ranges that contribute to different regions in Q space. Note that this needs to be defined, so if all wavelengths should be used, this should simply be a start and end edges that encompass the entire wavelength range.
uncertainties (UncertaintyBroadcastMode) – The mode for broadcasting uncertainties. See ess.reduce.uncertainty.UncertaintyBroadcastMode for details.

Returns:

IofQ[TypeVar(ScatteringRunType, types.SampleRun (int), types.BackgroundRun (int))] – The input data normalized by the supplied denominator.