IA idea · Art, music & design
Why are camera f-stops 1.4, 2, 2.8, 4, 5.6?
Research question
Why do f-numbers form a geometric sequence with ratio √2, and does the exposure of my own photographs follow the predicted relationship between aperture, shutter speed and brightness?
Adapt it: change the place, the data or the comparison until the question is yours.
Why it makes a good exploration
The strange numbers on a camera lens are a geometric sequence chosen so each step halves the light. Deriving this and testing it with your own photos connects sequences, logarithms and area.
The mathematics you'll need
- Geometric sequences and powers of √2
- Area of a circle and how light scales with diameter
- Logarithms base 2 (exposure value)
- Testing with measured pixel brightness
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
Take photos of a fixed scene at different aperture/shutter combinations and measure average pixel brightness with software.
- Desmos graphing calculator — Free graphing and regression (y₁ ~ ax₁ + b) — fit models to your data and show residuals.
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
- Derive why each f-stop halves the light.
- Explain rounding of the sequence (5.6, 11).
- Define exposure value with logarithms.
- Test with your photographs.
- Reflect on sensor response and image processing.
Pitfalls that cost marks
- Automatic settings changing exposure.
- JPEG processing distorting brightness — use RAW if possible.
- Not controlling lighting.
Showing personal engagement
- Use your own camera or phone in manual mode.
- Explain the rounding choices photographers use.
- Compare lenses.
See Criterion C: personal engagement for what examiners look for.
Taking it further
Model the sensor's response curve (brightness vs light) from your data.
Turn this idea into your IA
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