Europa Clipper Mission: Preliminary Design Report

Bayer, Todd; Bittner, Molly; Buffington, Brent; Dubos, Gregory F.; Ferguson, Eric; Harris, Ian; Jackson, Maddalena; Lee, Gene; Lewis, Kari; Kastner, Jason; Morillo, Ron; Perez, Ramiro; Salami, Mana; Signorelli, Joel; Sindiy, Oleg V.; Smith, B. A.; Soriano, Melissa; Kirby, Karen; Laslo, N. R.

doi:10.1109/aero.2019.8741777

Cited by 17 publications

(4 citation statements)

References 6 publications

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“…This contrast provides an opportunity for future work to potentially constrain the conductivity of subsurface reflectors by comparing these two data sets in other settings. Similar constraints may be possible with the dual frequency radar instrument REASON aboard Europa Clipper (Bayer et al, 2019).…”

Section: Proposed New Interpretationsmentioning

confidence: 90%

Strong MARSIS Radar Reflections From the Base of Martian South Polar Cap May Be Due to Conductive Ice or Minerals

Bierson

Tulaczyk

Courville

et al. 2021

Geophysical Research Letters

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Recent results from the Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) instrument have been interpreted as evidence of subsurface brine pooled beneath 1.3 km‐thick South Polar Layered Deposit (SPLD). This interpretation is based on the assumption that the regionally high strength of MARSIS radar reflections from the base of the ice cap is due to a strong contrast in dielectric permittivity across the basal interface. Here, we demonstrate that the high‐power reflections could instead be the result of a contrast in electric conductivity. While not explicitly excluding a liquid brine, our results open new potential explanations for the observed strong radar reflections, some of which do not require liquid brine beneath SPLD. Potential basal materials with suitably high conductivity include clays, metal‐bearing minerals, or saline ice.

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Section: Proposed New Interpretationsmentioning

confidence: 90%

Strong MARSIS Radar Reflections From the Base of Martian South Polar Cap May Be Due to Conductive Ice or Minerals

Bierson

Tulaczyk

Courville

et al. 2021

Geophysical Research Letters

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“…a β-angle (angle between the orbital plane and the sun) of ≥ 50 • . This means it is likely that most of the JUICE trajectory will be on the dayside -however the proposed orbits by Europa clipper should sample the nightside thoroughly (Dougherty et al, 2011;Bayer et al, 2019).…”

Section: Recommendations For Future Missionsmentioning

confidence: 99%

In-situ detection of Europa’s water plumes is harder than previously thought

Dayton-Oxland

Huybrighs

Winterhalder

et al. 2023

Icarus

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“…Moreover, Perseverance is equipped with scientific instruments (i.e., the Planetary Instrument for X-ray Litochemistry (PIXL), Supercam) that use AI and ML during martian operations. Further away, the first investigations at Europa will be realized during flybys of the Europa Clipper spacecraft, planned for launch in the mid-2020's to explore and characterize the habitability of this icy moon (Bayer et al, 2019). Here, onboard detection techniques are under development to enable thermal and compositional anomaly detection, as well as characterization of plumes and icy matter from the subsurface ocean (Wagstaff et al, 2019).…”

Section: Related Workmentioning

confidence: 99%

Science Autonomy and Space Science: Application to the ExoMars Mission

Poian

Lyness

Danell³

et al. 2022

Front. Astron. Space Sci.

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A machine learning approach for analyzing data from the Mars Organic Molecule Analyzer (MOMA) instrument has been developed in order to improve the accuracy and efficiency of this analysis and serves as a case study for the use of machine learning tools for space missions. MOMA is part of the science payload aboard the ExoMars rover, Rosalind Franklin, currently planned to land on Mars in 2023. Most NASA robotic space missions return only one thing: data. Remote planetary missions continue to produce more data as mission ambitions and instrument capabilities grow, yet the investigations are still limited by available bandwidth to transmit data back to Earth. To maximize the value of each bit, instruments need to be highly selective about which data are prioritized for return to Earth, as compression and transmission of the full data volume is often not feasible. The fundamental goal is to enable the concept of science autonomy, where instruments perform selected onboard science data analyses and then act upon those analyses through self-adjustment and tuning of instrument parameters. In this paper, we discuss the motivations, as well as related work on the use of machine learning for space missions. We also present a first step toward this vision of science autonomy for space science missions. This proof-of-concept exercise for the MOMA instrument aims to develop tools, used on Earth, to support Martian operations of the ExoMars mission. We also discuss the challenges and limitations of this implementation, as well as lessons learned and approaches that could be used for future space science missions.

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Europa Clipper Mission: Preliminary Design Report

Cited by 17 publications

References 6 publications

Strong MARSIS Radar Reflections From the Base of Martian South Polar Cap May Be Due to Conductive Ice or Minerals

Strong MARSIS Radar Reflections From the Base of Martian South Polar Cap May Be Due to Conductive Ice or Minerals

In-situ detection of Europa’s water plumes is harder than previously thought

Science Autonomy and Space Science: Application to the ExoMars Mission

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