IA idea · Modelling with functions

Does light really follow an inverse-square law?

AA SLAI SL Accessible Also in: Statistics

Research question

Does the illuminance measured by my phone fall as 1/d² as I move away from a lamp, and at what distances does the model fail?

Adapt it: change the place, the data or the comparison until the question is yours.

Why it makes a good exploration

The inverse-square law is fundamental to light, sound and gravity, and your phone contains a light sensor. Testing it — and finding where it breaks down (near the bulb, with reflections) — is a clean, personal experiment.

The mathematics you'll need

  • Power models and inverse variation
  • Log-log linearisation
  • Residual analysis
  • Transformations for background light

Course labels show where a technique sits; using maths from outside your course is fine if you explain it clearly and say it is new to you.

Where the data comes from

In a dark room, measure illuminance with phyphox's light sensor at 20+ distances from a small bulb, three readings each; record background light.

  • phyphox (RWTH Aachen) — Free app that turns your phone's accelerometer, microphone, barometer and gyroscope into data loggers with CSV export.

Cite every source in a footnote where you use it and in your bibliography. Check the licence of any dataset you download.

A possible outline

  1. Explain why intensity should fall with 1/d² from geometry.
  2. Collect data, subtracting background light.
  3. Fit y = axⁿ via logs and compare n with −2.
  4. Examine residuals close to and far from the bulb.
  5. Reflect on the sensor, reflections and the bulb not being a point source.

Pitfalls that cost marks

  • Measuring from the wrong point (the sensor position on the phone matters).
  • Ignoring background light.
  • Only testing over a narrow range of distances.

Showing personal engagement

  • Compare an LED and an incandescent bulb.
  • Use your model to design desk-lamp placement for a target lux level.
  • Explain the discrepancy near the bulb with a finite-source model.

See Criterion C: personal engagement for what examiners look for.

Taking it further

Model the bulb as a line or disc source and show how the inverse-square law emerges at large distances.

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