MONTE Python for Deep Space Navigation
Jonathon Smith, William Taber, Theodore Drain, Scott Evans,
James Evans, Michelle Guevara, William Schulze,
Richard Sunseri, Hsi-Cheng Wu
Video: https://youtu.be/E3RhKKpm4TM
Abstract
The Mission Analysis, Operations, and Navigation Toolkit Environment
(MONTE) is the Jet Propulsion Laboratory's (JPL) signature astrodynamic
computing platform. It was built to support JPL's deep space exploration
program, and has been used to fly robotic spacecraft to Mars, Jupiter,
Saturn, Ceres, and many solar system small bodies. At its core, MONTE
consists of low-level astrodynamic libraries that are written in C++
and presented to the end user as an importable Python language module.
These libraries form the basis on which Python-language applications
are built for specific astrodynamic applications, such as trajectory
design and optimization, orbit determination, flight path control, and
more. The first half of this paper gives context to the MONTE project
by outlining its history, the field of deep space navigation and where
MONTE fits into the current Python landscape. The second half gives
an overview of the main MONTE libraries and provides a narrative
example of how it can be used for astrodynamic analysis. For
information on licensing MONTE and getting a copy visit
montepy.jpl.nasa.gov or
email mdn\_software@jpl.nasa.gov.
astrodynamics, aerospace, orbit, trajectory, JPL, NASA
DOI10.25080/Majora-629e541a-009