Deconvolution of experimental peaks

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Daniele Sonaglioni
Daniele Sonaglioni le 22 Nov 2022
Hi everybody,
I am trying to deconvolute peak from experimental data.
I have a power (mW) as a function of the temperature and I have two peaks overlapping (examples attached). I woul like to deconvolute them but I am not able to find a ay to do so.
Any suggestions?
Thanks in advance.
  7 commentaires
Mathieu NOE
Mathieu NOE le 24 Nov 2022
I wonder if "deconvolution" is really what we are looking for here. Somewhere I interpret the request to separate that curve into two single peak curves. A simple fit should do the job, now the question is what type of function is the most appropriate
Bjorn Gustavsson
Bjorn Gustavsson le 24 Nov 2022
For the case of fitting 2 parameterized peak-functions and a background to the observations one might also have to model the point-spread of the instrument with a convolution-operation anyways. So in some sense it will still have elements of deconvolution in the solution.

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Bjorn Gustavsson
Bjorn Gustavsson le 22 Nov 2022
Have a look at the help and documentation of deconvblind. If you make sure that the curve you want to deconvolve and the point-spread function both are column-arrays of row-arrays it should work. But deconvolution is a tricky operation where noise-amplification and ringing (Gibbs) rapidly put a limit of how far one can get.

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