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I think this boils down to a special interpolating rebin algorithm.
Follow up and ask him for the formulae he mentions and see if we need further info than that.
From Richard Heenan:
I am looking again at normalization using M1 rather than M2 at long sample-detector distances.
There is an issue here in that the time bins for M1 are a little too coarse, converting to wavelength bins of e.g. 0.5481549 in equal steps of 0.41113 angstrom. If the data reduction is asked for in smaller steps than this, or without matching boundaries, then some odd things may happen.
Would it be possible to interpolate M1 and M2 (say using a local cubic interpolation – I can give you the formulae) rather than use the normal rebin?
Also we will need a separate option to use M1 rather than M2 for the transmission calculation please, though this is not so urgent just yet…
The text was updated successfully, but these errors were encountered:
I think this boils down to a special interpolating rebin algorithm.
Follow up and ask him for the formulae he mentions and see if we need further info than that.
From Richard Heenan:
I am looking again at normalization using M1 rather than M2 at long sample-detector distances.
There is an issue here in that the time bins for M1 are a little too coarse, converting to wavelength bins of e.g. 0.5481549 in equal steps of 0.41113 angstrom. If the data reduction is asked for in smaller steps than this, or without matching boundaries, then some odd things may happen.
Would it be possible to interpolate M1 and M2 (say using a local cubic interpolation – I can give you the formulae) rather than use the normal rebin?
Also we will need a separate option to use M1 rather than M2 for the transmission calculation please, though this is not so urgent just yet…
The text was updated successfully, but these errors were encountered: