A new methodology to integrate planetary quarantine requirements into mission planning, with application to a Jupiter orbiter

Details A new methodology to integrate planetary quarantine requirements into mission planning, with application to a Jupiter orbiter A new methodology to integrate planetary quarantine requirements into mission planning, with application to a Jupiter orbiter

Aug 1975

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1975stan.reptw....h&link_type=abstract

Final Report Stanford Research Inst., Menlo Park, CA.

Mathematics

Jupiter Probes, Mission Planning, Planetary Quarantine, Space Exploration, Decision Theory, Dynamic Programming, Optimization, Spacecraft Contamination, Trees (Mathematics)

Scientific paper

A new methodology is proposed for integrating planetary quarantine objectives into space exploration planning. This methodology is designed to remedy the major weaknesses inherent in the current formulation of planetary quarantine requirements. Application of the methodology is illustrated by a tutorial analysis of a proposed Jupiter Orbiter mission. The proposed methodology reformulates planetary quarantine planning as a sequential decision problem. Rather than concentrating on a nominal plan, all decision alternatives and possible consequences are laid out in a decision tree. Probabilities and values are associated with the outcomes, including the outcome of contamination. The process of allocating probabilities, which could not be made perfectly unambiguous and systematic, is replaced by decomposition and optimization techniques based on principles of dynamic programming. Thus, the new methodology provides logical integration of all available information and allows selection of the best strategy consistent with quarantine and other space exploration goals.

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