Reflectance Spectrum
Chart overview
Reflectance spectra measure the fraction of incident light reflected from a surface as a function of wavelength, providing direct information about absorption edges, photonic bandgaps, surface plasmon resonances, and thin film interference.
Key points
- They complement transmission measurements where samples are opaque and are essential for characterizing mirrors, coatings, solar cell anti-reflection layers, plasmonic nanostructures, and metamaterials.
- Fabry-Perot interference fringes in the reflectance of thin films allow precise determination of film thickness when the refractive index is known.
Example Visualization
Create This Chart Now
Generate publication-ready reflectance spectrums with AI in seconds. No coding required – just describe your data and let AI do the work.
View example prompt
"Create a publication-quality reflectance spectrum plot from my optical data. Plot reflectance (%) on the y-axis versus wavelength (nm) on the x-axis. Use a colored background shading under the curve to enhance visual impact. Annotate key spectral features: absorption edge, reflectance minima or maxima from interference fringes, or plasmonic resonance peak. If multiple samples are shown, overlay them in distinct colors with a legend. Add axis labels with units, a y-axis range of 0-100%, and a descriptive title. Use a white background with professional styling."
How to create this chart in 30 seconds
Upload Data
Drag & drop your Excel or CSV file. Plotivy securely processes it in your browser.
AI Generation
Our AI analyzes your data and generates the Reflectance Spectrum code automatically.
Customize & Export
Tweak the design with natural language, then export as high-res PNG, SVG or PDF.
Python Code Example
Console Output
Figure saved: plotivy-reflectance-spectrum.png
Common Use Cases
- 1Characterizing distributed Bragg reflector multilayer stacks for laser mirror design
- 2Measuring localized surface plasmon resonance wavelength of gold or silver nanoparticles
- 3Evaluating anti-reflection coating performance for solar cell efficiency improvement
- 4Determining thin film thickness from Fabry-Perot interference fringe spacing
Pro Tips
Correct for baseline drift by normalizing to a reference mirror or white tile measurement
Shade the UV (< 400 nm) and IR (> 700 nm) regions lightly to indicate the visible range
Use a secondary y-axis to overlay absorbance if comparing reflection and absorption features
Annotate characteristic peaks or edges directly on the spectrum with dashed vertical lines
Scientific Chart Selection Cheat Sheet
Not sure whether to use a Violin Plot, Box Plot, or Ridge Plot? Download our single-page reference mapping the most-used scientific chart types, exactly when to use them, and the core Matplotlib/Seaborn functions.