Compare microlensing fit models (for example 1L1S vs 2L1S) on a shared Roman time-series dataset using deterministic metrics (chi-square, reduced chi-square, AIC, BIC), and return ranked model diagnostics with explicit evidence deltas.
Provide a reproducible model-comparison step for microlensing fits before interpretation and figure generation.
name:model_column:n_params).Return:
status: ok | warning | errorsummary: preferred model and key deltasartifacts: comparison JSON pathvalidation: parse and finite-value checksprovenance: input path and timestamperror and stop.references/metrics.mdreferences/interpretation.mdscripts/compare_models.py