raman-fitting
CommunityFit Raman spectroscopy peaks accurately.
Data & Analytics#data analysis#materials science#raman spectroscopy#peak fitting#graphene#spectroscopy analysis
AuthorZurybr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of accurately fitting peaks in Raman spectroscopy data, which is crucial for material characterization, especially for materials like graphene.
Core Features & Use Cases
- Peak Fitting: Applies Lorentzian, Gaussian, or Voigt functions to fit spectral peaks.
- Data Validation: Includes checks for data quality, physical constraints, and fit quality metrics like R².
- Use Case: Analyze a Raman spectrum of graphene to precisely determine the positions, widths, and intensities of the D, G, and 2D peaks for defect analysis.
Quick Start
Use the raman-fitting skill to fit the G peak in the provided spectrum data within the 1500-1650 cm⁻¹ range.
Dependency Matrix
Required Modules
numpyscipymatplotlib
Components
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: raman-fitting Download link: https://github.com/Zurybr/lefarma-skills/archive/main.zip#raman-fitting Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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