API Reference

This page is the reference layer for the user guide. For narrative documentation, start with Quickstart, Method overview, and Configuration.

Main workflow

`jacscanomaly.Finder`([config, fitter, plotter])	Main entry point of jacscanomaly.
`jacscanomaly.FinderConfig`([fitter_kind, ...])	Configuration object for `jacscanomaly.finder.Finder`.
`jacscanomaly.CandidateCriteria`([min_dchi2, ...])	Quality criteria used to accept/reject anomaly candidates.
`jacscanomaly.PlanetSignalExtractor`(finder[, ...])	Extract strong non-PSPL signal after iteratively refining the baseline.
`jacscanomaly.PlanetSignalConfig`([...])	Configuration for iterative single-lens refinement and signal extraction.
`jacscanomaly.PlanetSignalResult`(time, flux, ...)	Result of `PlanetSignalExtractor`.
`jacscanomaly.PlanetSignalTiming`([...])	Wall-clock accounting for one extraction, excluding caller setup.
`jacscanomaly.PlanetFeatureConfig`([...])	Controls peak and dip measurement on an extracted residual signal.
`jacscanomaly.PlanetFeatureResult`(peaks, dips)	Flat peak/dip measurements for one extracted planet signal.
`jacscanomaly.TemplateFreeScanner`([config])	Template-free anomaly scanner operating on residual z-score excursions.
`jacscanomaly.TemplateFreeSearchConfig`([gap, ...])	Configuration for template-free residual anomaly searches.
`jacscanomaly.TemplateFreeSearchResult`(time, ...)	Result of a template-free residual anomaly search.

`jacscanomaly.PSPLFFTScanner`(*[, grid_dt, ...])	FFT matched-filter scanner for PSPL initial values.
`jacscanomaly.PSPLFFTSearchResult`(candidates, ...)	Ranked PSPL seeds from an FFT template-bank search.
`jacscanomaly.PSPLFFTCandidate`(t0, teff, u0, ...)	One PSPL seed selected from an FFT profile.
`jacscanomaly.PSPLFFTProfile`(t0, chi2, ...)	Profiled PSPL likelihood over every `t0` grid point.

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

Plot utilities for scanomaly results.

`jacscanomaly.PSPLFitter`([maxiter, ...])	PSPL fitter (Point-Source Point-Lens).
`jacscanomaly.CPPPSPLFitter`([maxiter, ...])	C++ PSPL fitter.
`jacscanomaly.FSPLFitter`([maxiter, ...])	FSPL fitter (Finite-Source Point-Lens).
`jacscanomaly.NativePSPLAnnualParallaxFitter`(...)
`jacscanomaly.NativeFSPLAnnualParallaxFitter`(...)
`jacscanomaly.NativePSPLSpaceParallaxFitter`(...)
`jacscanomaly.NativeFSPLSpaceParallaxFitter`(...)
`jacscanomaly.BICSingleLensFitter`(RA, Dec, ...)	Select PSPL, FSPL, or native FSPL space-parallax by BIC.
`jacscanomaly.CVFitter`([maxiter, ...])	Cataclysmic-variable-like transient fitter.
`jacscanomaly.SingleLensFitResult`(time, flux, ...)	Result of a single-lens microlensing fit.

`jacscanomaly.config`
`jacscanomaly.criteria`
`jacscanomaly.finder`
`jacscanomaly.models`
`jacscanomaly.seasons`
`jacscanomaly.extract`
`jacscanomaly.runner`
`jacscanomaly.anomaly_models`
`jacscanomaly.photometry`
`jacscanomaly.magnification`
`jacscanomaly.trajectory`
`jacscanomaly.singlelens_fit`
`jacscanomaly.singlelens_model`
`jacscanomaly.template_free`
`jacscanomaly.planet_signal`
`jacscanomaly.plot`