PPolySim OS

Wave Interference

Two point sources, one ripple tank. Watch constructive and destructive interference fringes form and shift as you tune the waves.

Wave Interference StudioLive

Controls

Two point sources emit circular waves — where they meet, you see constructive and destructive interference fringes. Drag either source on the canvas to reposition it and watch the pattern update live.

Presets

▶ Run in Python

Data Inspector

Sources2
Grid220×220
Wavelength15.7 px
Separation100 px
Patterninterference fringes

Governing equation

Reading this result: Wavelength is about 15.7 px and the two sources sit 100 px apart. Bright fringes appear where the path difference to the two sources equals a whole number of wavelengths (constructive interference); dark fringes fall halfway between, where the difference is a half-wavelength (destructive interference). Shrinking the wavelength or widening the separation would pack more fringes into the same space.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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How it works

Two sources emit circular waves whose amplitudes add at every point. Where crests meet crests you get bright constructive fringes; where crest meets trough they cancel. It's the same physics behind the double-slit experiment and diffraction gratings.

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The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.

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Frequently asked questions

Is this wave interference simulation tool really free?
Yes. Wave Interference runs entirely in your browser using your device's own compute, so local use is free forever. You only pay Compute Tokens if you scale a job to the cloud.
Do I need to install anything?
No. Everything runs client-side in a modern browser — no downloads, no license, no account required to start.
Can I save or share my simulation?
Create a free account to save projects, and use a shareable embed or minted DOI to publish a live, interactive version anywhere.
How accurate are the results?
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.