EGU2020-12729
https://doi.org/10.5194/egusphere-egu2020-12729
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Accurate Near-Earth-Object Astrometry using Synthetic Tracking and Applications

Chengxing Zhai1, Michael Shao1, Navtej Saini1, Russell Trahan1, Philip Choi2, Kutay Nazli2, Nez Evans2, and William Owen1
Chengxing Zhai et al.
  • 1Jet Propulsion Laboratory, INSTRUMENT SOFTWARE AND SCIENCE DATA SYSTEMS, Pasadena, United States of America (chengxing.zhai@jpl.nasa.gov)
  • 2Physics and Astronomy Department, Pomona College, Claremont, United States of America (Phil.Choi@pomona.edu)

Synthetic tracking technique uses multiple short exposure images to observe moving objects to prevent the objects from streaking in an individual frame. It integrates frames in post-processing, where the tracking of telescope at any desired rate can be simulated by shifting frames accordingly. Such an approach avoids trailing loss, thus improves detection sensitivity, especially for fast moving objects. It also yields accurate astrometry for moving objects independent of rate of motion with precision comparable to stellar astrometry. Using the Gaia DR2 catalog, we are able to demonstrate 10 mas level near-Earth-object (NEO) astrometry with the synthetic tracking technique. Accurate NEO astrometry allows us to determine NEO orbit more precisely. We discuss applications such as cataloging newly discovered NEOs with less measurements and/or from observation time windows covering shorter orbit arcs, better predicting the chance for a potentially hazardous asteroid to impact the Earth, measuring non-gravitational acceleration to infer physical properties of minor planets, and optical navigation for future spacecraft carrying optical communication lasers.

How to cite: Zhai, C., Shao, M., Saini, N., Trahan, R., Choi, P., Nazli, K., Evans, N., and Owen, W.: Accurate Near-Earth-Object Astrometry using Synthetic Tracking and Applications, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12729, https://doi.org/10.5194/egusphere-egu2020-12729, 2020

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