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About this calculation: inputs, formula and confidence

How many darks, flats and bias frames do I need?

Plan master-frame noise, counts and storage.

Heuristic

Formula

σmaster = σ1 ÷ √N

Independent random noise falls with the square root of combined frame count.

Where to find the inputs

  • Light countCapture plan
  • Dark/flat/bias countsCamera file size
  • Frame sizeDesired master quality
  • Noise targetDesired master quality

Related

Storage Volume →Integration Planner →Exposure & SNR →

Calibration-frame planner

Budget the calibration library with the lights.

Estimate master-frame noise reduction, calibration counts and total storage demand.

Purpose and method

What this calculator does

How many darks, flats and bias frames do I need? Plan master-frame noise, counts and storage.

In words: Independent random noise falls with the square root of combined frame count.

Change a value and the result updates immediately. This count model covers random noise only. Flats still need appropriate illumination and ADU, while darks must match temperature, exposure, gain and sensor mode.

Working geometry

Master-frame combination

Independent calibration frames combine into lower-noise master dark, flat and bias references.

N source frameslow-noise master

Inputs

Lights, masters and storage

Unit: frames
Unit: frames
Unit: frames
Unit: frames
Unit: MB
Unit: %

Calculated now

Calibration plan

Frames recommended per master
25
Calibration frames planned
75
Session storage
8.54 GiB
Dark master random noise
20.00 %
Flat master random noise
20.00 %
Bias master random noise
20.00 %

Governing equation

Master-frame noise reduction
σ=σ/√N

In words: Independent random noise in a combined master falls in proportion to one divided by the square root of the frame count.

Show the working

The calculator applies the equation above to the values currently entered, without rounding until this display.

Frames recommended per master
25
Calibration frames planned
75
Session storage
8.54 GiB
Dark master random noise
20.00 %
Flat master random noise
20.00 %
Bias master random noise
20.00 %

This count model covers random noise only. Flats still need appropriate illumination and ADU, while darks must match temperature, exposure, gain and sensor mode.