Aperture photometry — where it appears
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
Also named here as read noise — the same set of essays touches all of them, so they are one junction rather than several.
The error bar that comes from counting
A brightness is a number of photons, so the precision of the measurement is fixed before any instrument is chosen. What follows is a slope of exactly 0.2 magnitudes of error per magnitude of star, a slope of 0.4 once the sky wins, and a floor that neither of them explains.
The faint star is measured against a brighter sky
For anything at the edge of detection the dominant source of noise is not the object. It is the sky in the same aperture, which is brighter than the star and is subtracted rather than measured — and once that is true, every rule of thumb about apertures, exposure times and image quality changes.
The best aperture throws away a tenth
Aperture photometry counts every pixel inside a circle equally and every pixel outside it not at all. For a faint star against its sky the best circle is two-thirds of the seeing wide, catches 71.5 per cent of the light, and reaches 90.2 per cent of the signal-to-noise that weighting each pixel by what it is worth achieves — a loss of 23 per cent in exposure time that no algorithm can beat by more.
Named alongside it
The objects these essays reach for when they reach for this one.
Photon noiseRead noiseSky backgroundBackground limitedThe point-spread functionSignal-to-noiseSystematic floorAirglowCramer rao boundDifferential photometryExposure timeFaint limit