Dynamic Filtering for the Analysis of Astrometric and Radial Velocity Data Sets for the Detection of Terrestrial Exoplanets

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We explore the possibility of using dynamic filtering techniques to analyze astrometric data for planetary signals down to the level produced by Earth-like planets. We present the benefits of this approach as compared with the more conventional periodogram analyses, as well as the particular challenges posed by this dynamical system. We analyze constrained Extended Kalman Filters and Two-step Estimators with various different state vectors used to encode planetary systems. The filters are tested on data sets generated to resemble the data that is expected to be obtained from an astrometry mission such as SIM and concurrent ground-based radial velocity measurements. The simulated data contains such effects as parallax and proper motion, and noise magnitudes driven by current astrometry mission designs.

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