Estimate the combined signal-to-noise ratio for a repeating exoplanet transit. The model combines transit depth, per-sample photometric noise, cadence, usable transit duration, observed events, and data-retention efficiency.
Use the main result as a transparent first-order planning value. The supporting metrics expose intermediate quantities so assumptions can be checked and compared across scenarios.
This square-root stacking model assumes independent noise. Stellar variability, red noise, limb darkening, dilution, and detrending choices can reduce real detection significance.
A 1,000 ppm transit with 500 ppm noise, three 3-hour transits, 60-second cadence, and 90% retention yields 486 usable samples and a combined SNR of 44.09.
The dominant inputs are those used directly in the displayed formula. Change one input at a time to see its effect while holding the other exoplanet transit assumptions fixed.
Fields described as optional or overhead may accept zero. Physical quantities that appear in a denominator or define the mission scale must remain positive.
Only the contingency or efficiency explicitly entered is included. Add separate reserves for effects that are not represented by an input.
Detailed models include geometry, hardware modes, environmental conditions, correlated uncertainties, and organization-specific constraints that a screening calculator cannot capture.
Recompute the case with an independent tool, document every assumption and unit, test pessimistic and optimistic scenarios, and compare against subsystem or observatory requirements.
| Output | Use |
|---|---|
| Main result | Primary sizing or planning value |
| Supporting metrics | Trace the drivers behind the result |
| Interpretation | Identify what is and is not represented |