Inverse Problems in Scattering

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    Inverse Scattering
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Discussion Overview

The discussion revolves around the challenges of solving inverse problems in dynamic light scattering (DLS) data. Participants explore methods for inverting experimental data to retrieve original sample properties, particularly focusing on the mathematical approaches and software tools available for this purpose.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant describes the forward problem of calculating a scattered spectrum from known particle sizes and contrasts it with the inverse problem of determining particle sizes from the scattered spectrum.
  • Another participant suggests three academic papers that may provide the mathematical methods relevant to the inverse problem, indicating uncertainty about their applicability.
  • A participant mentions the CONTIN program as a tool for recovering particle size distribution from DLS data, noting its simplicity compared to other methods.
  • A later reply references the rILT version of CONTIN, acknowledging its effectiveness but also its slow performance, and mentions the use of alternative methods in the meantime.

Areas of Agreement / Disagreement

Participants express varying levels of confidence in the methods and tools suggested, with no consensus on a single approach or solution for the inverse problem in DLS data.

Contextual Notes

Some participants note limitations in the existing literature regarding the mathematical details necessary for inversion, and there is an acknowledgment of the complexity involved in using certain software tools.

Who May Find This Useful

Researchers and practitioners working with dynamic light scattering data, particularly those interested in inverse problems and mathematical modeling in scattering contexts.

Steve Drake
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Hi Guys,

I am doing a bit of work with dynamic light scattering (DLS) data. It is one of the many areas of science where we encounter an inverse problem.

The forward problem is: For a known sized particle, calculate its scattered spectrum (that is easy). The inverse problem is: from the scattered spectrum, calculate the size(s) of the partcile(s) that made the spectrum (that is hard).

What I would like to know is how, given an experimental data set, do you invert that data set to get the original sample properties? I just read some books and they don't seem to go into the maths.

Any help would be greatly appreciated. I am pretty good at MATLAB and would like to code my own inversion routines.

Thanks
 
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opticspcs said:
You can the simulated CONTIN program, (http://www.mathworks.cn/matlabcentral/fileexchange/6523-rilt ), it is relative simple. It can recover the particle size distribution fom dynamic light scattering data.

Best regards.

Hi mate,

thanks for the reply to my very old topic hah. I had a go at that cause the original CONTIN is too complicated for me to use. rILT seems to work but its very slow. I have been using other methods in the mean time.

Thanks.
 

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