Bayesian analysis of Juno/JIRAM's NIR observations of Europa

Juno spacecraft's spectrometer JIRAM recently observed the moon Europa in 2-5 {\mu}m wavelength region. Here we present analysis of average spectrum a set observations near 20{\deg}N and 40{\deg}W, focusing on two forms water-ice - amorphous crystalline. We also take this as an opportunity to novel Bayesian spectral inversion framework for reflectance spectroscopy. first validate using simulated spectra crystalline ice mixtures laboratory ice. next analyze data and, through model comparisons, find that two-component intimately mixed (TC-IM model) is strongly preferred (at 26{\sigma} confidence) over same species but where their are areally/linearly mixed. TC-IM > 30{\sigma} single-component models with only or ice, indicating presence both these phases water data. For highest SNR estimates data, solution corresponds mixture very large number density fraction (99.952 +/- 0.001 \%) small (23.12 1.01 microns) grains, (0.048 (565.34 grains. The overabundance grains consistent previous studies. maximum-likelihood model, however, tension regions around 2.5 3.6 {\mu}m, indicates non-ice components not currently included our primarily due limited availability cryogenic optical constants.