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About this calculation: inputs, formula and confidence

Am I over- or under-sampled?

Compare diffraction, seeing and camera sampling.

Exact geometry

Formula

s = 206.265p ÷ f

Pixel scale is pixel pitch divided by focal length using the angular conversion constant.

Where to find the inputs

  • Effective focal lengthEquipment profile
  • ApertureCamera specification
  • Pixel pitchLocal seeing estimate
  • SeeingLocal seeing estimate

Related

Field of View →Drizzle Planner →Plate-solving Scale →

Resolution and Sampling

Know what the aperture can resolve.

Compare the telescope's diffraction limit with your camera sampling and local seeing. Change any input to see the consequences immediately.

Purpose and method

What this calculator does

Am I over- or under-sampled? Compare diffraction, seeing and camera sampling.

In words: Pixel scale is pixel pitch divided by focal length using the angular conversion constant.

Use the effective focal length after reducers or Barlows, the camera's native pixel pitch, the selected binning and a realistic local seeing estimate.

Working geometry

Diffraction and sampling

The atmospheric and diffraction spot is sampled by the camera pixel grid.

seeing / Airy spotpixel grid

Inputs

Optical path

Use physical dimensions and canonical units for the estimate.

Unit: mm
Unit: nm
Unit: mm
Unit: µm
Unit: ×
Unit: arcsec

Calculated now

Resolution and sampling

These are ideal optical estimates, not a guarantee of image detail.

Rayleigh limit
0.692″at 550 nm
Dawes estimate
0.580″empirical double-star limit
Image scale
0.776″ / px3.76 µm effective pitch
Pixels per Rayleigh limit
0.89undersampled
Pixels per seeing FWHM
2.58for 2.0″ seeing
Critical focal ratio
f/11.22,241 mm for 2 px

Equations

Rayleigh diffraction limit
θR=1.22⁢λD
Image scale
s=206.265⁢pefff

The Rayleigh limit is the ideal diffraction separation. The detector samples that scale with the image scale; two pixels per Rayleigh limit is the minimum target used here, while seeing usually becomes the practical limit from the ground.

Atmospheric turbulence, focus, obstruction, tracking, contrast, processing, and target brightness can all reduce real-world resolution. Treat these outputs as planning guidance.