Forecasting Exoplanet Parameter Precision for the ESA Ariel Mission

This repository contains three data products from the forward modelling study of transit parameter retrieval precision for the ESA Ariel mission target sample (~1000 exoplanets). snr_summary.csvTransit signal-to-noise ratio estimates for each planet, spectral channel, and wavelength bin, computed from ExoRad noise budgets using the formula SNR = (Rp/Rs)^2 / sqrt(sigma_white^2/T14 + sigma_floor^2). summary_full.csvPer-planet, per-channel statistical summary of the retrieved parameter distributions derived from 200 independent noise realisations. Includes mean, median, KDE mode, standard deviation, 16th and 84th percentile uncertainties, skewness, excess kurtosis, Shapiro-Wilk normality test results, and Pearson/Spearman correlation coefficients between all pairs of fitted parameters (Rp/Rs, a/Rs, t0, b). mean_correlations_by_filter.csvMean Pearson and Spearman inter-parameter correlation coefficients averaged over the full planet sample, reported separately for each of the six Ariel channels (VISPhot, FGS1, FGS2, NIRSpec, AIRS-CH0, AIRS-CH1).