Approximately 1 million threshold-crossing events from the public TESS archive.
MegaMiner flagship
MegaMiner Shadow Lab
Every weird light curve is a shadow asking for a geometry. Switch between ordinary planets, Clarke exobelts, dust, disintegrating bodies, structured occultations, and L1 starshades while the matching curve updates in real time.
Automated search graph
MegaMiner pipeline from TESS threshold-crossing events to vetted anomaly candidates.
The operational pipeline combines ExoMiner scoring, shape-anomaly statistics, a conditional autoencoder for eclipsing-binary rejection, and LLM-assisted literature and DV-report vetting.
Quality masks, sector stitching, catalogue matching, and basic sky-localization checks.
Planet, astrophysical false-positive, instrumental-artifact, and transit-shape anomaly probabilities.
Purpose-built anomaly model removes eclipsing binaries and recurring astrophysical contaminants.
Literature, catalogues, and TESS DV reports are queried before candidates move to human review.
Generate candidate packets with archive provenance, known-object matches, and review-ready evidence.
Anomaly vocabulary
Features MegaMiner would score before deciding what they mean.
Our MegaMiner pipeline is framed to be skeptical by design. Every strange signal is first a candidate morphology, then an astrophysical or instrumental investigation, and only much later a technosignature discussion.
Planets tend to be smooth and repeatable; dust and structures can leave asymmetric edges.
Multiple sectors can reveal whether a dip is coherent, precessing, evaporating, or transient.
The cadence of shadows can separate orbital systems from stellar activity and artifacts.
Step-like or multi-component dimming motivates deeper checks against known populations.
Candidate discipline
A strange dip warrants scrutiny, not a verdict.
MegaMiner's strongest scientific posture is not to declare artificiality. It is to make anomalies reproducible, comparable, and hard to ignore when standard categories fail.
Mission, sector, aperture, quality flags, crowding, and nearby contaminant checks.
Planet transits, eclipsing binaries, pulsators, spots, flares, exobelts, dust, and debris.
Momentum dumps, scattered light, detector artifacts, background events, and pipeline edges.
Folded and raw light curves, target metadata, comparable analogs, and next-observation value.