Iterative mollifier‐based despiking of the single‐scan Raman spectra

Removing cosmic spikes from experimental Raman spectra is highly important for the processing of big datasets. The despiking approaches are at present under active development. Herein, an algorithm is described that can handle the single‐scan spectra and works efficiently for both regular and apodiz...

Full description

Saved in:
Bibliographic Details
Published inJournal of Raman spectroscopy Vol. 53; no. 2; pp. 256 - 259
Main Author Korepanov, Vitaly
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.02.2022
Subjects
Algorithms
cosmic spikes
Python
Raman spectra
Raman spectroscopy
Subtraction
Online AccessGet full text
ISSN0377-0486
1097-4555
DOI10.1002/jrs.6277

Cover

More Information
Summary:Removing cosmic spikes from experimental Raman spectra is highly important for the processing of big datasets. The despiking approaches are at present under active development. Herein, an algorithm is described that can handle the single‐scan spectra and works efficiently for both regular and apodized spectra. It is based on an iterative detection–fitting–subtraction cycle, in which the detection is based on a mollification operation. The approach does not require setting arbitrary threshold parameters for the detection. The efficiency of the algorithm is compared with the state‐of‐the‐art approaches. It is shown that it can remove the spikes at which fails the built‐in device software. The Python code is provided. Mollifier‐based algorithm can detect and subtract even minor spikes missed by the built‐in device software.
Bibliography:Funding information
Ministry of Science and Higher Education of the Russian Federation, Grant/Award Number: 075‐15‐2020‐791
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0377-0486
1097-4555
DOI:10.1002/jrs.6277