Raman spectroscopy: data analysis: convolution

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Discussion Overview

The discussion revolves around the analysis of Raman spectroscopy data, specifically focusing on the concept of convolution and deconvolution of the data. Participants explore whether the raw data received is already convoluted and the methods used for deconvolution.

Discussion Character

  • Exploratory, Technical explanation, Conceptual clarification

Main Points Raised

  • One participant questions whether the raw data from Raman spectroscopy is typically convoluted or if convolution is an active process applied during analysis.
  • Another participant explains that raw data from detectors is often a convolution of the Fourier transform of the detector and the actual data, suggesting that knowledge of the detector's Fourier transform is necessary for deconvolution.
  • A third participant recalls using a Gaussian curve for deconvolution based on their professor's suggestion, indicating that this method was effective for their analysis.
  • There is an acknowledgment of the uncertainty regarding where the convolution occurs in the data processing.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether the raw data is inherently convoluted or if convolution is applied actively, indicating that multiple views remain on this topic.

Contextual Notes

Limitations include the lack of specific information about the convolution process in Raman spectroscopy and the dependence on the characteristics of the detectors used.

liss
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hey guys,
i hope you can help.

my task is to analyse data of raman spectroscopy. therefor i have to deconvolute it. that means the data must have been convoluted somewhere.

is it true that the raw data which i receive is convoluted already? or is it common to convolute the data "active"?
i guess its a stupid question but i am not quite sure.

thanks in regard
 
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its a very good question if you haven't come across convolution method before. i had the same question a few months ago on my medical imaging course. the idea is that the data you take from any detector, is imperfect and as a result, the raw data you get is a convolution of the Fourier transform of your detector and the data. so information about the Fourier transform of your detector will allow you to do the inverse transformation, and then the raw data is just multiplied by the inverse Fourier transform to give your final data. i am unforunately not very familiar with the raman spectrometer detectors, but I am sure they have basic experiments run on them to determine the information about their detectors
 
thank you so much for your detailed answer, i got it now.

as far as i can remember we used the gaussian curve to deconvolute the data based on a hint of my prof. and it worked out.
only when i prepared my talk i have wondered where the convolution takes place.
so your answer suffices absolutly :)
 
woopy :P
 

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