Analysis of PAN-STARRS Photometric and Astrometric Data for Data Association and Physical Consistency Assessment

Pan-STARRS data collected on several periods in 2010 are analyzed. The Constrained Admissible Region Multiple Hypothesis Filter process is applied to the optical angle (astrometric) data in an attempt to associate tracklets to unique objects. All tracklets have corresponding magnitude data associated with them. The magnitudes corresponding to the associated data are analyzed for consistency between the tracklets to gain some insight into the magnitude characteristics. The eventual goal is to fuse astrometric and photometric data in a way the enables a more comprehensive characterization of an object, including orbit, attitude, shape, and material composition. The results show some consistency between associated tracklets, but not in all cases.