https://github.com/charlesll/ramin
Automatic recognition of Raman spectra of minerals
Science Score: 13.0%
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Low similarity (4.6%) to scientific vocabulary
Repository
Automatic recognition of Raman spectra of minerals
Basic Info
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- Stars: 4
- Watchers: 2
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Metadata Files
ReadMe.md
IPGP Hackathon - 15-16 November 2019
Automatic recognition of Raman spectra of minerals
Participants: Alexis Falcin, Lucile Chauveau, Matthias Meschede, Emilie Pirot, Charles Le Losq
Raman spectra are unique signatures of the structure of minerals and glasses. We thus can use them to recognize minerals and glasses, and quantify their proportions in a sample as well as the presence of specific elements in them.
The present project has the aim of testing various methods to automatically recognize minerals and quantify their proportions in Raman spectra.
Data are from the RRUFF database and are available there, all the code uses free open source libraries in Python.
Owner
- Name: Charles Le Losq
- Login: charlesll
- Kind: user
- Location: France
- Company: Institut de physique du globe de Paris
- Website: https://charlesll.github.io/
- Twitter: Charles_LeLosq
- Repositories: 49
- Profile: https://github.com/charlesll
Geoscientist, Assistant Professor, willing to improve data reduction protocols through programming and data science
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