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Published on: November 10, 2016
An asymmetric fitting function for condensed-phase Raman spectroscopy.
Vitaly I Korepanov1, Daria M Sedlovets
1Institute of Microelectronics Technology and High-Purity Materials, Russian Academy of Science, 6 Academician Ossipyan Str., Chernogolovka, Moscow District 142432, Russia. korepanov@iptm.ru.
This study introduces a new asymmetric pseudo-Voigt function for analyzing Raman spectra. This method provides reliable peak parameter determination for various condensed matter systems exhibiting asymmetric lineshapes.
Area of Science:
- Spectroscopy
- Condensed Matter Physics
- Materials Science
Background:
- Asymmetric lineshapes are common in Raman spectra of condensed matter.
- Traditional symmetric fitting functions (e.g., pseudo-Voigt) yield unreliable peak parameters for asymmetric data.
- A need exists for a practical asymmetric fitting function with simple form and accurate data description.
Purpose of the Study:
- To formulate a novel asymmetric pseudo-Voigt function.
- To ensure the function meets criteria for practical use: simple analytic form, minimal parameters, and accurate data representation.
- To address limitations of symmetric fitting functions in analyzing asymmetric Raman spectral data.
Main Methods:
- Developed an asymmetric pseudo-Voigt function by introducing a damped perturbation to symmetric shapes.
- Incorporated a single asymmetry-related parameter to control the line shape.
- Tested the function by fitting experimental Raman spectra from diverse condensed matter samples.
Main Results:
- The proposed asymmetric pseudo-Voigt function accurately describes experimental Raman spectra with asymmetric lineshapes.
- The function demonstrates consistent behavior of spectral line tails due to its damped perturbation approach.
- Successfully applied to various materials including crystals, nanoparticles, polymers, and molecular solids/liquids.
Conclusions:
- The new asymmetric pseudo-Voigt function offers a reliable and practical tool for analyzing Raman spectra with asymmetric features.
- It overcomes the limitations of symmetric fitting functions, providing accurate parameter estimation.
- The function's versatility makes it applicable across a broad range of condensed matter systems.
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