What is recorded here?
Prioritized faint transit signals and supported statistical validation of Kepler-80g and Kepler-90i.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The two detections build on NASA observations and human validation. Classifier accuracy is not an independent confirmation of all candidate planets.
Read the original work
- Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90
- Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90 — deposited bibliography
- Authors’ manuscript and abstract
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Christopher J. Shallue; Andrew Vanderburg
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
Kepler transit discovery pipeline · Google and University of Texas collaboration · Convolutional neural network reported in the paper
Signal ranking; human-led statistical validation. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Documented mapping · Included in country comparison
Documented countries / regions: United States
Documented research locations or paper affiliations for this contribution. Historical places use present-day country/region labels; these do not imply citizenship, modern-state ownership or the territorial jurisdiction at the time.
English catalogue narrative
A neural network helps find two planets in Kepler data
Prioritized faint transit signals and supported statistical validation of Kepler-80g and Kepler-90i.
Scientific scope
The two detections build on NASA observations and human validation. Classifier accuracy is not an independent confirmation of all candidate planets.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Christopher J. Shallue; Andrew Vanderburg
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
Kepler transit discovery pipeline / Google and University of Texas collaboration / Convolutional neural network reported in the paper: Signal ranking; human-led statistical validation (source reported).
Original sources
- Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90
- Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90 — deposited bibliography
- Authors’ manuscript and abstract