An Assessment of Organics Detection and Characterization on the Surface of Europa with Infrared Spectroscopy
Ishan Mishra, Nikole Lewis, Jonathan Lunine, Kevin P. Hand

TL;DR
This study evaluates Europa Clipper's potential to detect trace organic compounds on Europa's surface using near-infrared spectroscopy, demonstrating that even low-abundance organics can be identified with high confidence.
Contribution
The paper presents a simulation-based assessment of Europa Clipper's ability to detect trace organics in the 3-5 μm range, employing Bayesian analysis to improve detection thresholds.
Findings
Trace organic species at ~5% abundance are detectable at >3σ significance.
Bayesian model comparison lowers detection threshold to <1% abundance.
Multiple overlapping trace species can be simultaneously identified and quantified.
Abstract
Organics, if they do exist on Europa, may only be present in trace amounts on the surface. NASA's upcoming mission Europa Clipper is going to provide global, high quality data of the surface of Europa in the near-infrared (NIR), specifically the 3-5~m region, where organics are rich in spectroscopic features. In this work we investigate Europa Clipper's ability to constrain the abundance of selected trace species of interest that span different chemical bonds found in organics, such as C-H, C=C, CC, C=O and CN, via NIR spectroscopy in the 3-5~m wavelength region. We simulate reflectance spectra of these trace species mixed with water ice, at varying SNR and abundance fractions. The evidence for the trace species in a mixture is evaluated using two approaches: 1) calculating average strength of absorption feature(s), and 2) Bayesian model comparison (BMC)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
