Exoplanet Detection Signal Classifier.

Required input fields.

• Detection method (required): Transit, Radial velocity, Direct imaging, Microlensing
• Periodicity evidence (required): Weak or unknown, Partial, Strong and evidenced
• Noise characteristics (required): Low noise, Moderate, High noise
• Stellar activity confounder (required): Low, Medium, High
• Follow-up evidence (required): Weak or unknown, Partial, Strong and evidenced
• Transit depth ppm or RV amplitude proxy (required)

Data handling: this interface uses the L2ET protected same-origin instrument engine. Do not enter confidential, regulated, privileged, incident, medical or sensitive operational data.

Decision Tree logic.

Combines method, periodicity, noise, stellar activity and follow-up evidence to classify plausibility and confounders.

Source families

Assumptions

• Only a high-level classifier.
• Raw light curves or RV time series are not analyzed.
• False positives require domain-specific vetting.

Exoplanet signal plausibility card.

The generated artifact includes findings, assumptions, limitations, recommended next actions and exportable structured output.

Export options

Example input and output.

Example input

Transit signal with partial periodicity, moderate noise and high stellar activity.

Example output

Outputs plausible-but-confounded class and follow-up observation recommendations.