Hyperlinc: Solar System Object Linking via Orbital Plane Clustering

Ben Engebreth

Drawing on Heliolinc concepts, this technique starts with heliocentric cartesian projection of transient sources then searches for common relative heliocentric angular motion among sources sharing the same orbital plane. The search is repeated for all hyperplanes containing a sufficient number of transients. In contrast to Heliolinc, this technique averages out astrometric error in a best fit sense and requires no state vector estimation or orbit propagation. And unlike the path of an object traced on the observer relative sky plane used by classic moving object detection methods, the orbital plane of a solar system object in heliocentric coordinates is constant. The physical model underlying the algorithm is validated for 14 and 28 days with JPL Horizons ephemeris data. The algorithm is then applied to Catalina Sky Survey single field data and recovers more than 95% of known objects present in the data.  Future work will extend the analysis to multiple nights and make tracklets optional.


This poster will be displayed on Wednesday and Thursday.


Career Stage: 
Junior Researcher/Faculty