Long exposures are where digital sensors get noisy in a way that has nothing to do with the scene: heat. This tool estimates how much thermal noise — hot pixels and fixed-pattern noise — a planned exposure will build up, so you can decide whether to enable Long Exposure Noise Reduction or change your settings before committing minutes of capture time.
How it works
Three physical effects combine to set the thermal-noise level.
Dark current and temperature. Even with the shutter closed, thermal energy frees electrons that the sensor counts as signal. This dark current roughly doubles for every 6.5 °C rise in sensor temperature:
dark current multiplier = 2 ^ ((temperature − 20) / 6.5)
Accumulation over time. Dark signal builds up linearly with exposure time, and the associated shot noise grows with its square root:
thermal noise ∝ sqrt(dark current × exposure time)
ISO amplification. ISO gain multiplies the accumulated dark signal linearly, so the final
relative index is the square-root term multiplied by ISO / 100. The tool normalises everything
to a reference of one second at ISO 100 and 20 °C, which equals an index of 1.
How to read the result
The index is mapped to four bands. Below 2× thermal noise is negligible. Between 2× and 8×
you will start to see hot pixels in the shadows and LENR is worthwhile. Above 8× the noise is
significant, and above 25× it is severe — at which point dark-frame subtraction, a lower ISO
and a cooler sensor all help.
Tips and notes
- Sensor temperature usually runs a few degrees above ambient air, and rises further during a burst of long exposures as the electronics warm up. Pause between frames on hot nights.
- LENR doubles total capture time because it shoots a matching dark frame. For star trails built from many sub-exposures, it is often better to shoot a few dedicated dark frames and subtract them in software instead.
- This is a planning estimate. Real noise depends on the specific sensor’s dark-current spec and on amp glow, which this simplified model does not include.