Examples
Examples
Try the starting example
- Source electrons per frame
- 100
- Background electrons per frame
- 400
- Read noise RMS electrons per frame
- 3
- Independent frames
- 25
- Stack signal-to-noise ratio
- 22.16211
- Improvement versus single frame
- 5
Try another scenario
- Source electrons per frame
- 110.00000000000001
- Background electrons per frame
- 400
- Read noise RMS electrons per frame
- 3
- Independent frames
- 25
- Stack signal-to-noise ratio
- 24.14232
- Improvement versus single frame
- 5
Calculation method
Calculation method
Stack signal-to-noise ratio
Poisson source+background plus read variance: SNR=sqrt(N)S/sqrt(S+B+r²).
Improvement versus single frame
Poisson source+background plus read variance: SNR=sqrt(N)S/sqrt(S+B+r²).
Symbols and units
- a
- Source electrons per frame
- b
- Background electrons per frame
- c
- Read noise RMS electrons per frame
- d
- Independent frames
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Independent equal frames and ideal calibration; correlated noise excluded. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Independent equal frames and ideal calibration; correlated noise excluded.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.