Applying Lorentzian Broadening in Electron Energy Loss Spectroscopy

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SUMMARY

This discussion focuses on applying Lorentzian broadening in electron energy loss spectroscopy (EELS). The key method for achieving this is through convolution of the calculated spectrum with the Lorentzian broadening function. The user seeks guidance on how to implement this technique effectively in their spectral modeling efforts.

PREREQUISITES
  • Understanding of electron energy loss spectroscopy (EELS)
  • Familiarity with spectral modeling techniques
  • Knowledge of convolution operations in data analysis
  • Basic grasp of Lorentzian functions and their applications
NEXT STEPS
  • Research convolution techniques in spectral analysis
  • Explore the mathematical formulation of Lorentzian functions
  • Learn about software tools for spectral modeling, such as MATLAB or Python libraries
  • Investigate case studies on applying broadening in EELS
USEFUL FOR

Chemists, physicists, and researchers involved in electron energy loss spectroscopy and spectral modeling who seek to enhance their understanding of spectral broadening techniques.

castep_nut
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I am predominantly a chemist researching electron energy loss spectroscopy, though have recently expressed some interest in spectral modelling. An area that perplexes me somewhat is applying broadening to a spectrum . For example, if I calculate a spectrum such that:

Energy Intensity
0 x
1 y
2
3 ...
4 ...


How can I apply for example a Lorentzian broadening factor to this? Any help would be most welcome.

CN
 
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castep_nut said:
I am predominantly a chemist researching electron energy loss spectroscopy, though have recently expressed some interest in spectral modelling. An area that perplexes me somewhat is applying broadening to a spectrum . For example, if I calculate a spectrum such that:

Energy Intensity
0 x
1 y
2
3 ...
4 ...


How can I apply for example a Lorentzian broadening factor to this? Any help would be most welcome.

CN

You do a convolution of the actual spectrum (i.e. the data) with the broadening spectrum (your Lorentzian).

Zz.
 

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