KMTNet LCs of ~1000 main-belt asteroids Virtual Observatory Resource

Authors
  1. Erasmus N.
  2. McNeill A.
  3. Mommert M.
  4. Trilling D.E.
  5. Sickafoose A.A.,van Gend C.
  6. Published by
    CDS
Abstract

We present VRI spectrophotometry of 1003 main-belt asteroids (MBAs) observed with the Sutherland, South Africa node of the Korea Microlensing Telescope Network (KMTNet). All of the observed MBAs were serendipitously captured in KMTNet's large 2{deg}x2{deg} field of view during a separate targeted near-Earth Asteroid study. Our broadband spectrophotometry is reliable enough to distinguish among four asteroid taxonomies and we confidently categorize 836 of the 1003 observed targets as either a S-, C-, X-, or D-type asteroid by means of a machine learning algorithm approach. Our data show that the ratio between S-type MBAs and (C+X+D)-type MBAs, with H magnitudes between 12 and 18 (12km>~diameter>~0.75km), is almost exactly 1:1. Additionally, we report 0.5-3hr (median: 1.3hr) light-curve data for each MBA and we resolve the complete rotation periods and amplitudes for 59 targets. Of the 59 targets, 2 have rotation periods potentially below the theoretical zero-cohesion boundary limit of 2.2hr. We report lower limits for the rotation periods and amplitudes for the remaining targets. Using the resolved and unresolved light curves we determine the shape distribution for this population using a Monte Carlo simulation. Our model suggests a population with an average elongation b/a=0.74+/-0.07 and also shows that this is independent of asteroid size and taxonomy.

Keywords
  1. asteroids
  2. infrared-photometry
  3. visible-astronomy
  4. photometry
Bibliographic source Bibcode
2018ApJS..237...19E
See also HTML
https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/237/19
IVOA Identifier IVOID
ivo://CDS.VizieR/J/ApJS/237/19
Document Object Identifer DOI
doi:10.26093/cds/vizier.22370019

Access

Web browser access HTML
http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/237/19
https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/237/19
http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJS/237/19
IVOA Table Access TAP
http://tapvizier.cds.unistra.fr/TAPVizieR/tap
Run SQL-like queries with TAP-enabled clients (e.g., TOPCAT).

History

2018-11-09T14:36:21Z
Resource record created
2018-11-09T14:36:21Z
Created
2019-01-07T09:43:24Z
Updated

Contact

Name
CDS support team
Postal Address
CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France
E-Mail
cds-question@unistra.fr