Eclipse Mapping with Ariel: Future Prospects for a Population-Level Mapping Survey

Supplementary material for the publication: "Eclipse Mapping with Ariel: Future Prospects for a Population-Level Mapping Survey". Here we include: test_cases: simulate_map: The light curve simulation code (.py file). lcs: Plots of the generated light curves (.pdf files). lc_models: Plots of the mapping models fit to the simulated light curves (.png files). fmaps: Derived flux maps (.pkl files). tmaps: Derived temperature maps (.pkl files). fmap_uncs: Derived flux map uncertainties (.pkl files). tmap_uncs: Derived temperature map uncertainties (.pkl files). hs_posts: Hotspot location posteriors (.pkl files). emm_analysis: emm_rankings_ariel: Full machine-readable Eclipse Mapping Metric (EMM) rankings for Ariel NIRSpec, AIRS Ch0, and AIRS Ch1 (.csv files). emm_rankings_jwst: Full machine-readable Eclipse Mapping Metric (EMM) rankings for JWST NIRISS/SOSS, NIRSpec/G395H, and MIRI/LRS (.csv files). survey: Machine-readable version of the proposed Ariel mapping survey targets (.csv file). Manuscript DOI: [] and [Paper Link]