J/ApJS/237/19ivo://CDS.VizieR/J/ApJS/237/19doi:10.26093/cds/vizier.22370019CDSErasmus N.McNeill A.Mommert M.Trilling D.E.Sickafoose A.A.,van Gend C.2019-01-07T09:43:24Z2018-11-09T14:36:21ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frasteroidsinfrared-photometryvisible-astronomyphotometryWe 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.2018ApJS..237...19Ehttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/237/19CatalogResearchIsServedByTAP VizieR generic servicerelated-toB/astorb : Orbits of Minor Planets (Bowell+, 2014)J/A+A/498/313 : Photometry of 3 main belt asteroids (Marciniak+, 2009)J/A+A/508/1503 : Photometry of 3 main belt asteroids (Marciniak+, 2009)J/A+A/529/A107 : Photometry of 4 main belt asteroids (Marciniak+, 2011)J/A+A/545/A131 : Photometry of 8 main belt asteroids (Marciniak+, 2012)J/A+A/578/A42 : Main Belt asteroids observed by Spitzer (Ryan+, 2015)J/A+A/596/A40 : Main-belt asteroids optical light curves (Szabo+, 2016)J/ApJS/234/37 : R-band K2 photometry of main-belt asteroids (Molnar+, 2018)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/237/19https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/237/19http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJS/237/19https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJS/237/19https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJS/237/19http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJS/237/19GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapInfraredOpticaldefaultJ/ApJS/237/19/table1Observations and resultsTaxTaxonomysrc.classchara[2.1/3.2] Semi-major axis (2)phys.angSize.smajAxis;src.orbitalfloati[0.2/28.1] Orbital inclination (2)degsrc.orbital.inclinationfloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintSeq[1/1003] Internal index number (1)meta.idintNameObject identifiermeta.id;meta.maincharJDJulian Date of observation startdtime.epochdoubleDur[0/3] Observation durationtime.duration;obsnullableHmag[8.1/19.7] H magnitude (2)magphot.mag;em.IR.HfloatVmag[13.26/21.13] V band magnitudemagphot.mag;em.opt.VfloatV-R[-0.95/0.39] The (V-R) color index (3)magphot.color;em.opt.V;em.opt.Rfloate_V-R[0.01/0.27] Uncertainty in V-Rmagstat.error;phot.color;em.opt.VfloatV-I[-0.46/0.54] The (V-I) color index (3)magphot.color;em.opt.V;em.opt.Ifloate_V-I[0.02/0.36] Uncertainty in V-Imagstat.error;phot.color;em.opt.Vfloatl_AmpLimit flag on Amp (4)meta.code.errorAmp[0.02/1.4] Amplitudemagphot.magfloate_Amp[0.0/0.17]? Uncertainty in Ampmagstat.errorfloatnullablel_PerLimit flag on Per (4)meta.code.errorPer[26/350] Rotational periodmintime.periodinte_Per[0/85]? Uncertainty in Perminstat.errorintnullableS-type[0.0/1.0] Probability of S-typestat.fit.goodnessfloatX-type[0.0/0.931] Probability of X-typestat.fit.goodnessfloatC-type[0.0/1.0] Probability of C-typestat.fit.goodnessfloatD-type[0.0/0.787] Probability of D-typestat.fit.goodnessfloatLCInteractive plot from figure 2 datameta.ref.urlchar