jacscanomaly.models

Classes

AnomalyResult(time, flux, ferr, fit, ...)	Output of scanomaly.finder.Finder.run().
BestCandidate(t0, teff, dchi2, med_others, ...)	Best anomaly candidate selected from all extracted clusters.
CandidateQuality(n_window, n_contrib, n_eff, ...)	Per-candidate quality diagnostics derived from per-point chi-square improvement.
SeasonSummary(season_idx, t_start, t_end, ...)	Summary of the anomaly scan for a single season.