From Start to Finish: Python for Space Missions

Details From Start to Finish: Python for Space Missions From Start to Finish: Python for Space Missions

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aspc..434..205b&link_type=abstract

Astronomical Data Analysis Software and Systems XIX. Proceedings of a conference held October 4-8, 2009 in Sapporo, Japan. Edite

Astronomy and Astrophysics

Astronomy

Scientific paper

The software development process for many space observatories is often disjoint and inefficient due to the use of multiple languages during the different phases of mission development. Code and algorithms that are often developed using an interactive, array language during the pathfinding efforts of Phase A are often rewritten in a non-interactive, compiled language for use in the production code for Phase C. This approach leads to inefficiency in both development time and cost and can introduce errors during the rewriting process. Python is one programming language that can be used as a high-level, array language and as an efficient, production language. This paper shows how Python will be used during the different phases of development of the Joint Milli-Arcsecond Pathfinder Survey (JMAPS) space mission with an emphasis on code and algorithm reuse from one phase to the next.

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