Extreme asteroids in the Pan-STARRS 1 Survey
arXiv:1810.11668 · doi:10.3847/1538-3881/aaeb8c
Abstract
Using the first 18 months of the Pan-STARRS 1 survey we have identified 33 candidate high-amplitude objects for follow-up observations and carried out observations of 22 asteroids. 4 of the observed objects were found to have observed amplitude mag. We find that these high amplitude objects are most simply explained by single rubble pile objects with some density-dependent internal strength, allowing them to resist mass shedding even at their highly elongated shapes. 3 further objects although below the cut-off for 'high-amplitude' had a combination of elongation and rotation period which also may require internal cohesive strength, depending on the density of the body. We find that none of the 'high-amplitude asteroids' identified here require any unusual cohesive strengths to resist rotational fission. 3 asteroids were sufficiently observed to allow for shape and spin pole models to be determined through light curve inversion. 45864 was determined to have retrograde rotation with spin pole axes and asteroid 206167 was found to have best fit spin pole axes , . An additional object not initially measured with mag, 49257, was determined to have a shape model which does suggest a high-amplitude object. Its spin pole axes were best fit for values . In the course of this project to date no large super-fast rotators ( h) have been identified.
arXiv comment31 pages; accepted by AJ
References in corpus (25)
- Astropy: A Community Python Package for Astronomy
- The generalised Lomb-Scargle periodogram. A new formalism for the floating-mean and Keplerian periodograms
- The Pan-STARRS1 Photometric System
- Main Belt Asteroids with WISE/NEOWISE I: Preliminary Albedos and Diameters
- The Pan-STARRS 1 Photometric Reference Ladder, Release 12.0
- Formation of asteroid pairs by rotational fission
- The Pan-STARRS Moving Object Processing System
- NEOWISE Studies of Spectrophotometrically Classified Asteroids: Preliminary Results
- Densities of Solar System Objects from their Rotational Lightcurves
- Asteroid lightcurves from the Palomar Transient Factory survey: Rotation periods and phase functions from sparse photometry
- Extreme Kuiper Belt Object 2001 QG298 and the Fraction of Contact Binaries
- Asteroid models from the Lowell Photometric Database
- Binary Asteroid Systems: Tidal End States and Estimates of Material Properties
- A 2 km-size asteroid challenging the rubble-pile spin barrier - a case for cohesion
- Observed Binary Fraction Sets Limits on the Extent of Collisional Grinding in the Kuiper Belt
- Fraction of Contact Binary Trojan Asteroids
- Physical characterisation of near-Earth asteroid (1620) Geographos. Reconciling radar and thermal-infrared observations
- Asteroid Spin-Rate Study using the Intermediate Palomar Transient Factory
- Dumb-bell-shaped equilibrium figures for fiducial contact-binary asteroids and EKBOs
- A Change in the Lightcurve of Kuiper Belt Contact Binary (139775) 2001 QG298
- The Unusual Kuiper Belt Object 2003 SQ317
- Brightness variation distributions among main belt asteroids from sparse light curve sampling with Pan-STARRS 1
- The fast spin of near-Earth asteroid (455213) 2001 OE84, revisited after 14 years: constraints on internal structure
- Binary Candidates in the Jovian Trojan and Hilda Populations from NEOWISE Lightcurves
- Large Super-Fast Rotator Hunting Using the Intermediate Palomar Transient Factory
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- The DECam Ecliptic Exploration Project (DEEP). VII. The Strengths of Three Superfast Rotating Main-belt Asteroids from a Preliminary Search of DEEP Data
- Characterizing the nucleus of comet 162P/Siding Spring using ground-based photometry
- The Solar System Notification Alert Processing System (SNAPS): Asteroid Population Outlier Detection