Near-Earth Object Orbit Linking with the Large Synoptic Survey Telescope
arXiv:1706.09397 · doi:10.3847/1538-3881/aa73d0
Abstract
We have conducted a detailed simulation of LSST's ability to link near-Earth and main belt asteroid detections into orbits. The key elements of the study were a high-fidelity detection model and the presence of false detections in the form of both statistical noise and difference image artifacts. We employed the Moving Object Processing System (MOPS) to generate tracklets, tracks and orbits with a realistic detection density for one month of the LSST survey. The main goals of the study were to understand whether a) the linking of Near-Earth Objects (NEOs) into orbits can succeed in a realistic survey, b) the number of false tracks and orbits will be manageable, and c) the accuracy of linked orbits would be sufficient for automated processing of discoveries and attributions. We found that the overall density of asteroids was more than 5000 per LSST field near opposition on the ecliptic, plus up to 3000 false detections per field in good seeing. We achieved 93.6% NEO linking efficiency for H<22 on tracks composed of tracklets from at least three distinct nights within a 12-day interval. The derived NEO catalog was comprised of 96% correct linkages. Less than 0.1% of orbits included false detections, and the remainder of false linkages stemmed from main belt confusion, which was an artifact of the short time span of the simulation. The MOPS linking efficiency can be improved by refined attribution of detections to known objects and by improved tuning of the internal kd-tree linking algorithms.
arXiv comment41 pages, 23 figures, 6 tables. arXiv admin note: substantial text overlap with arXiv:1705.06209
References in corpus (5)
- The Dark Energy Camera
- The Pan-STARRS Moving Object Processing System
- The Large Synoptic Survey Telescope as a Near-Earth Object Discovery Machine
- Systematic ranging and late warning asteroid impacts
- High-fidelity Simulations of the Near-Earth Object Search Performance of the Large Synoptic Survey Telescope
Cited by in corpus (14)
- LSST: from Science Drivers to Reference Design and Anticipated Data Products
- Tuning the Legacy Survey of Space and Time (LSST) Observing Strategy for Solar System Science
- The Large Synoptic Survey Telescope as a Near-Earth Object Discovery Machine
- High-fidelity Simulations of the Near-Earth Object Search Performance of the Large Synoptic Survey Telescope
- Towards Efficient Detection of Small Near-Earth Asteroids Using the Zwicky Transient Facility (ZTF)
- Discovering Earth's transient moons with the Large Synoptic Survey Telescope
- Searching for Moving Objects in HSC-SSP: Pipeline and Preliminary Results
- THOR: An Algorithm for Cadence-Independent Asteroid Discovery
- The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time
- Numerical Simulations of Tidal Deformation and Resulting Light Curves of Small Bodies: Material Constraints of 99942 Apophis and 1I/`Oumuamua
- Fitting the Light Curve of 1I/`Oumuamua with a Nonprincipal Axis Rotational Model and Outgassing Torques
- Exploring the Solar System with the NOIRLab Source Catalog I: Detecting Objects with CANFind
- Improving the discovery of near-Earth objects with machine-learning methods
- Machine Learning Methods for Automated Interstellar Object Classification with LSST