Dynamic filtering for the analysis of astrometric and radial velocity data sets for the detection of exoplanets

Dmitry Savransky, N. Jeremy Kasdin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a rigorous physical description of an astrometric observation, deriving expansions for the observation vector in terms of defined small quantities. We use these derivations to formulate an extended Kalman filters for the purpose of characterizing planetary orbits from astrometric and radial velocity data. We show results from an initial implementation of this filters with simulated data sets of observations on single and multi-planet systems. It is found that the filters is always able to closely estimate the state of the largest planet in the system and accurately estimate the variance of the true error of the state estimate. We find that this technique can be used to constrain planetary masses to at least within ±50% of the true mass for Earth-mass planets.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference and Exhibit
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781563479786
DOIs
StatePublished - Jan 1 2009

Publication series

NameAIAA Guidance, Navigation, and Control Conference and Exhibit

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Dynamic filtering for the analysis of astrometric and radial velocity data sets for the detection of exoplanets'. Together they form a unique fingerprint.

  • Cite this

    Savransky, D., & Kasdin, N. J. (2009). Dynamic filtering for the analysis of astrometric and radial velocity data sets for the detection of exoplanets. In AIAA Guidance, Navigation, and Control Conference and Exhibit [2009-6083] (AIAA Guidance, Navigation, and Control Conference and Exhibit). American Institute of Aeronautics and Astronautics Inc.. https://doi.org/10.2514/6.2009-6083