inxConvert

inxConvert.convert(datafile, FWS=None)

This method takes a single dataFile as argument and returns the corresponding dataSet.

Then the result is stored as a namedtuple containing several members (all being numpy arrays).

• intensities - 3D array of counts values for each frame

  (axis 0), q-value (axis 1) and energy channels (axis 2)

• errors - 3D array of errors values for each frame

  (axis 0), q-value (axis 0) and energy channels (axis 2)

• energies - 1D array of energy offsets used

• temps - 2D array of temperatures, the first dimension

  is of size 1 for QENS, and of the same size as the number of energy offsets for FWS. The second dimensions represents the frames

• times - same structure as for temps but representing

  the time

• name - name that is stored in the ‘subtitle’ entry
• qVals - 1D array of q-values used

• selQ - same as qVals, used later to define a q-range

  for analysis

• qIdx - same as selQ but storing the indices

• observable - data for the observable used for data series

  (‘time’ or ‘temperature’)

• observable_name - name of the observable used for data series
• norm - boolean, whether data were normalized or not