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Autonomous CE Mass-Spectra Examination (ACME) for the Ocean Worlds Life Surveyor (OWLS)
  • +7
  • Steffen Mauceri,
  • Jake Lee,
  • Mark Wronkiewicz,
  • Lukas Mandrake,
  • Gary Doran,
  • Jack Lightholder,
  • Zuzana Cieslarova,
  • Miranda Kok,
  • M. Fernanda Mora,
  • Aaron Craig Noell
Steffen Mauceri
Jet Propulsion Laboratory

Corresponding Author:[email protected]

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Jake Lee
Jet Propulsion Laboratory
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Mark Wronkiewicz
Jet Propulsion Laboratory
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Lukas Mandrake
Jet Propulsion Laboratory
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Gary Doran
Jet Propulsion Laboratory
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Jack Lightholder
Jet Propulsion Laboratory
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Zuzana Cieslarova
Jet Propulsion Laboratory
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Miranda Kok
Jet Propulsion Laboratory
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M. Fernanda Mora
Jet Propulsion Laboratory
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Aaron Craig Noell
Jet Propulsion Laboratory
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Abstract

Ocean worlds such as Europa and Enceladus are high priority targets in the search for past or extant life beyond Earth. Evidence of life may be preserved in samples of surface ice by processes such as deposition from active plumes or thermal convection. Terrestrial life produces unique distributions of organic molecules that translate into recognizable biosignatures. Identification and quantification of these organic compounds can be achieved by separation science such as capillary electrophoresis coupled to mass spectrometry (CE-MS). However, the data generated by such an instrument can be multiple orders of magnitude larger than what can be transmitted back to Earth during an ocean worlds mission. This requires onboard science data analysis capabilities that summarize and prioritize CE-MS observations with limited compute resources.
In response, the Autonomous Capillary Electrophoresis Mass-spectra Examination (ACME) onboard science autonomy system was created for application to the Ocean Worlds Life Surveyor (OWLS) instrument suite. ACME is able to compress raw mass spectra by two to three orders of magnitude while preserving most of its scientifically relevant information content. This summarization is achieved by the extraction of raw data surrounding autonomously identified ion peaks and the detection and parameterization of unique background regions. Prioritization of the summarized observations is then enabled by providing estimates of scientific utility, the uniqueness of an observation relative to previous observations, and the presence of key target compound signatures.