Search NASA⌕ Search

NASA NTRS · 20210004189

Mission Operations Data Analysis Tools for Mars Observer Guidance and Control

Abstract

The focus of this paper is on the data analysis tools for the Mars Observer Attitude and Articulation Control Subsystem (AACS). Four different categories of analysis tools are presented, with details offered for specific tools. These same tools, and extensions thereof, have been adopted by the Galileo mission operations, and are being designed into Cassini and other future spacecraft mission operations.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kan, E.. 1994-11-14. Mission Operations Data Analysis Tools for Mars Observer Guidance and Control. https://ntrs.nasa.gov/citations/20210004189

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Kepler Mission's Focal Plane Characterization Models Implementation

The Kepler Mission photometer is an unusually complex array of CCDs. A large number of time-varying instrumental and systemic effects must be modeled and removed from the Kepler pixel data to produce light curves of sufficiently high quality for the mission to be successful in its planet-finding objective. After the launch of the spacecraft, many of these effects are difficult to remeasure frequently, and various interpolations over a small number of sample measurements must be used to determine the correct value of a given effect at different points in time. A library of software modules, called Focal Plane Characterization (FC) Models, is the element of the Kepler Science Data Pipeline (hereafter "pipeline") that handles this. FC, or products generated by FC, are used by nearly every element of the SOC processing chain. FC includes Java components: database persistence classes, operations classes, model classes, and data importers; and MATLAB code: model classes, interpolation methods, and wrapper functions. These classes, their interactions, and the database tables they represent, are discussed. This paper describes how these data and the FC software work together to provide the pipeline with the correct values to remove non-photometric effects caused by the photometer and its electronics from the Kepler light curves. The interpolation mathematics is reviewed, as well as the special case of the sky-to-pixel,pixel-to-sky coordinate transformation code, which incorporates a compound model that is unique in the SOC software.

mission↗