Presentation + Paper
21 August 2020 Predicting terrestrial contamination of the Mars 2020 sample caching system with novel multispecies outgassing and transport models
Author Affiliations +
Abstract
One of the Mars 2020 mission’s primary science objectives is to seek out traces of past life on Mars – the rover’s sample caching system (SCS) will collect and store rock cores and regolith samples for possible return to Earth for analysis by a future mission. These samples must be contaminated with fewer than 10 parts-per-billion (PPB) total organic carbon (TOC) of terrestrial origin to permit an unambiguous detection of Martian organic signatures; this 10 PPB threshold translates to less than a monolayer of adsorbed contaminant molecules on the inside surfaces of sample tubes. Achieving such a stringent requirement has necessitated some of the strictest contamination control protocols ever enacted in NASA’s history. Throughout all phases of the mission, sources of terrestrial organic carbon can contaminate samples and sample caching hardware through a variety of transport mechanisms in free-molecular and continuum flow regimes. Predicting and mitigating the contamination of future returned samples requires a comprehensive understanding and cataloging of contaminant sources, transport mechanisms, and adsorption characteristics. Therefore, JPL Contamination Control has developed a novel multispecies model based on experimental measurements of Mars 2020 flight hardware, which has been applied in characterizing organic carbon contaminant sources, species compositions, and outgassing rate dependences on temperature. These are the boundary conditions for an end-to-end modeling framework in which the transport and deposition of contaminant species are calculated for each mission phase, culminating in a prediction of the total quantity of terrestrial organic carbon within future returned samples.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John M. Alred, Maxwell G. Martin, William A. Hoey, Anthony T. Wong, Lauren M. White, Paul A. Boeder, Savannah A. Cofer, Adrien Dias-Ribeiro, and Carlos E. Soares "Predicting terrestrial contamination of the Mars 2020 sample caching system with novel multispecies outgassing and transport models", Proc. SPIE 11489, Systems Contamination: Prediction, Control, and Performance 2020, 1148904 (21 August 2020); https://doi.org/10.1117/12.2568127
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Cited by 1 scholarly publication.
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KEYWORDS
Contamination

Diffusion

Molecules

Mars

Statistical modeling

Tin

Carbon

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