Characterizing Amorphous Carbon with Raman Measurements
| (0) | # | HD | D-Band | HV | V-Valley | HG | G-Band | HD/HG | HV/HG |
|---|---|---|---|---|---|---|---|---|---|
| Ø (SD) | - (-) | - (-) |
This downloads the table above as a CSV file, only including the selected spectra.
All selected spectra data will be downloaded in single .txt files, one for each spectrum. The denoised and normalized spectra will be used.
All graphs of the selected spectra and the weathering graph will be downloaded in the selected file format.
Upload your spectrum or spectra in a .txt file format.
See the results of your graph and check whether they match with your expectations.
Download the values and/or graph figures, to directly use them in your publication.
The CHARM approach is described in the paper “Reconstructing charcoal formation temperatures in archaeology and volcanology using an automated 532 nm Raman spectroscopy approach”, published in Scientific Reports (2026).
This website was created by Fabian Dellefant from the Ludwigs Maximilians Universität (LMU), Germany, and Olivier Brückner.
The baseline function is translated from the Python script by Vitaly Korepanov, available in this GitHub repository. It is described in the paper “Asymmetric least-squares baseline algorithm with peak screening for automatic processing of the Raman spectra.”
Reconstructing charcoal formation temperatures in archaeology and volcanology using an automated 532 nm Raman spectroscopy approach. Sci Rep. 2026. [10.1038/s41598-026-53711-0]
Asymmetric least-squares baseline algorithm with peak screening for automatic processing of the Raman spectra. J Raman Spectrosc. 2020;1–5. [10.1002/jrs.5952]