Planetary Astronomy and The Large Synoptic Survey Telescope

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

The Large Synoptic Survey Telescope (LSST) will survey >30,000 square degrees to a typical limiting magnitude of r 24.7 (per image) with a rapid observational cadence, observing each field twice per night, approximately 4-5 times each month. LSST will be a survey telescope with powerful potential for detecting and characterizing small moving objects. Near the ecliptic, LSST is expected to detect approximately 4000 moving objects per 9.6 square degree field of view; automated software will provide the means to link these individual detections into orbits. The result will be catalogs of hundreds of thousands of NEOs and Jupiter Trojans, millions of asteroids, tens of thousands of TNOs, as well as thousands of other objects such as comets and irregular satellites of the major planets. These catalogs will be publicly available, with both final orbits as well as the underlying multi-color observations, highly accurate in astrometry ( 50 mas) and photometry ( 0.01-0.02 mag).
By providing an order of magnitude larger datasets, LSST will generate new insights into links between different populations of moving objects, such as the relationship between Main Belt asteroids and NEOs, and allow for much stronger tests of solar system evolution. High accuracy multi-color photometry and lightcurves could be used to derive physical properties of a significant fraction of the objects detected. Derivation of proper elements, particularly with the addition of precise color information, would allow identification of collisional families across many populations.
LSST has established science collaborations in various areas of astronomy to facilitate communication between the project and users in the community, including a Solar System Science Collaboration. These collaborations provide the opportunity for users to familiarize themselves with LSST-style data products before first light, as well as give feedback to LSST. An open call to join this science collaboration will be issued this fall.

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