Asteroid Discovery and Characterization with the Large Synoptic Survey Telescope

@article{Jones2015AsteroidDA,
  title={Asteroid Discovery and Characterization with the Large Synoptic Survey Telescope},
  author={Rebecca L. Jones and Mario Juri{\'c} and Željko Ivezi{\'c}},
  journal={Proceedings of the International Astronomical Union},
  year={2015},
  volume={10},
  pages={282 - 292}
}
Abstract The Large Synoptic Survey Telescope (LSST) will be a ground-based, optical, all-sky, rapid cadence survey project with tremendous potential for discovering and characterizing asteroids. With LSST's large 6.5m diameter primary mirror, a wide 9.6 square degree field of view 3.2 Gigapixel camera, and rapid observational cadence, LSST will discover more than 5 million asteroids over its ten year survey lifetime. With a single visit limiting magnitude of 24.5 in r band, LSST will be able to… Expand
Discovering Earth’s transient moons with the Large Synoptic Survey Telescope
Abstract Earth’s temporarily-captured orbiters (TCOs) are a sub-population of near-Earth objects (NEOs). TCOs can provide constraints for NEO population models in the 1–10-metre-diameter range, andExpand
The LSST Data Management System
TLDR
The LSST project is developing a new, general-purpose, high-performance, scalable, well documented, open source data processing software stack for O/IR surveys that form the basis of the Hyper-Suprime Cam (HSC) Survey data reduction pipeline. Expand
CASTAway: An asteroid main belt tour and survey
CASTAway is a mission concept to explore our Solar System’s main asteroid belt. Asteroids and comets provide a window into the formation and evolution of our Solar System and the composition of theseExpand
Small near-Earth asteroids in the Palomar Transient Factory survey: A real-time streak-detection system
Near-Earth asteroids (NEAs) in the 1-100 meter size range are estimated to be $\sim$1,000 times more numerous than the $\sim$15,000 currently-catalogued NEAs, most of which are in the 0.5-10Expand
Everything we’d like to do with LSST data, but we don’t know (yet) how
TLDR
A number of astro-statistical challenges that need to be overcome to extract maximum information and science results from LSST dataset are discussed. Expand
Scientific discovery with the James Webb Space Telescope
  • J. Kalirai
  • Engineering, Physics
  • Contemporary Physics
  • 2018
ABSTRACT For the past 400 years, astronomers have sought to observe and interpret the Universe by building more powerful telescopes. These incredible instruments extend the capabilities of one of ourExpand
Technical Architecture to Deepen Our Solar System Awareness
  • P. Veres
  • Computer Science
  • Planetary Defense
  • 2018
TLDR
Current limits for discovery are defined by the aperture size of the telescope and the observing geometry and viewing angle of a telescope, with the Earth representing an obstruction that avoids looking closer to the Sun. Expand
An end-to-end simulation framework for the Large Synoptic Survey Telescope
TLDR
The development, and use of the LSST simulation framework is described, including the generation of simulated catalogs and images for targeted trade studies, simulations of the observing cadence of theLSST, the creation of large-scale simulations that test the procedures for data calibration, and the use of end-to-end image simulations to evaluate the performance of the system as a whole. Expand
Trajectory Design for Asteroid Retrieval Missions: A Short Review
TLDR
The paper provides a comprehensive account for; the endgame strategies used so far, the different dynamical models and the trajectory design methodologies, and provides a short literature survey on the historical evolution of the asteroid retrieval concept. Expand
Retrograde orbits excess among observable interstellar objects
In this work we investigate the orbital distribution of interstellar objects (ISOs), observable by the future wide-field National Science Foundation Vera C. Rubin Observatory (VRO). We generateExpand
...
1
2
...

References

SHOWING 1-7 OF 7 REFERENCES
LSST Science Book, Version 2.0
A survey that can cover the sky in optical bands over wide fields to faint magnitudes with a fast cadence will enable many of the exciting science opportunities of the next decade. The Large SynopticExpand
LSST: From Science Drivers to Reference Design and Anticipated Data Products
TLDR
The LSST design is driven by four main science themes: probing dark energy and dark matter, taking an inventory of the solar system, exploring the transient optical sky, and mapping the Milky Way. Expand
The dancing sky: 6 years of night-sky observations at Cerro Paranal
Aims. This work provides the results of the first six years of operation by the systematic night-sky monitoring at ESO-Paranal (Chile). Methods. The UBVRInight-sky brightness was estimated on aboutExpand
The Pan-STARRS Moving Object Processing System
TLDR
The Pan-STARRS Moving Object Processing System (MOPS) is described, a modern software package that produces automatic asteroid discoveries and identifications from catalogs of transient detections from next-generation astronomical survey telescopes and remains highly efficient at detecting objects but drops to 80% efficiency at producing orbits. Expand
The Pan-STARRS Synthetic Solar System Model: A Tool for Testing and Efficiency Determination of the Moving Object Processing System
We present here the Pan-STARRS Moving Object Processing System (MOPS) Synthetic Solar System Model (S3M), the first-ever attempt at building a comprehensive flux-limited model of the major small-bodyExpand
Automated transient identification in the Dark Energy Survey
TLDR
An algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation using the supervised machine learning technique known as Random Forest is described. Expand
OpenOrb: Open‐source asteroid orbit computation software including statistical ranging
We are making an open-source asteroid orbit computation software package called OpenOrb publicly available. OpenOrb is built on a well-established Bayesian inversion theory, which means that it is toExpand