J/MNRAS/465/2634ivo://CDS.VizieR/J/MNRAS/465/2634doi:10.26093/cds/vizier.74652634CDSArmstrong D.J.Pollacco D.Santerne A.2024-08-16T20:19:56Z2019-02-01T13:28:08ZCDS support team

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

cds-question@unistra.frmultiple-starsexoplanetsA crucial step in planet hunting surveys is to select the best candidates for follow-up observations, given limited telescope resources. This is often performed by human 'eyeballing', a time consuming and statistically awkward process. Here, we present a new, fast machine learning technique to separate true planet signals from astrophysical false positives. We use self-organizing maps (SOMs) to study the transit shapes of Kepler and K2 known and candidate planets. We find that SOMs are capable of distinguishing known planets from known false positives with a success rate of 87.0 per cent, using the transit shape alone. Furthermore, they do not require any candidate to be dispositioned prior to use, meaning that they can be used early in a mission's lifetime. A method for classifying candidates using a SOM is developed, and applied to previously unclassified members of the Kepler Objects of Interest (KOI) list as well as candidates from the K2 mission. The method is extremely fast, taking minutes to run the entire KOI list on a typical laptop. We make PYTHON code for performing classifications publicly available, using either new SOMs or those created in this work. The SOM technique represents a novel method for ranking planetary candidate lists, and can be used both alone or as part of a larger autovetting code.2017MNRAS.465.2634Ahttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/465/2634CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toV/133 : Kepler Input Catalog (Kepler Mission Team, 2009)IV/34 : K2 Ecliptic Plane Input Catalog (EPIC) (Huber+, 2017)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/465/2634https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/465/2634http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/465/2634https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/465/2634https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/465/2634http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/465/2634GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/465/2634/table2 (Output statistics for KOIs, sorted by {theta}1)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/465/2634/table2?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/465/2634/table2?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/465/2634/table2?GETtext/xml+votable180.050000true297.360315840.42980940.005555555555555556Cone search capability for table J/MNRAS/465/2634/table3 (Output statistics for K2 objects, sorted by {theta}1)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/465/2634/table3?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/465/2634/table3?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/465/2634/table3?GETtext/xml+votable180.050000true169.7936731-0.28437030.0055555555555555564/922-923 933-935 944-946 5/3645-3647 3683 3704 3706 3729-3731 3788-3789 3792-3793 6/14559 14567 14573 14575 14577-14579 14730-14731 14738 14744 14746 14749-14751 14792 14794-14795 14828 14830 14914-14915 15040-15041 15043-15045 15057 15059-15062 15160-15161 15176 15178 15200 15232 25577 25581 26906 26928 26935 26940 26944 26953 26959 26961 26969 26975-26977 26986 26990-26992 26994 26999 27001 27005-27006 27025 27075-27076 27078-27079 27084-27085 27121 27657-27658 27681 27684 27690 27777https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/465/2634?format=asciidefaultJ/MNRAS/465/2634/table2Output statistics for KOIs, sorted by {theta}1recnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintKICKepler ID (KIC NNNNNNNN in Simbad)meta.id;meta.mainlongtheta1Output statistic {theta}1 (1)meta.codefloattheta2Output statistic {theta}2 (1)meta.codefloatSimbadSimbad column added by the CDSmeta.ref.urlchar_RAPositions from KIC (right ascension part)degpos.eq.ra;meta.main_DEPositions from KIC (declination part)degpos.eq.dec;meta.mainJ/MNRAS/465/2634/table3Output statistics for K2 objects, sorted by {theta}1recnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintK2Kepler ID (EPIC NNNNNNNN in Simbad)meta.id;meta.mainlongtheta1Output statistic {theta}1 (1)meta.codefloattheta2Output statistic {theta}2 (1)meta.codefloatSimbadSimbad column added by the CDSmeta.ref.urlchar_RARight Ascension (J2000) from SIMBAD (not part of the original data)degpos.eq.ra;meta.main_DEDeclination (J2000) from SIMBAD (not part of the original data)degpos.eq.dec;meta.main