J/AJ/166/189ivo://CDS.VizieR/J/AJ/166/189doi:10.26093/cds/vizier.51660189CDSRodriguez-Feliciano B.Serna J.Garcia-Varela A.Hernandez J.,Cabrera-Garcia J.F.2024-11-06T20:18:07Z2024-04-24T08:28:26ZCDS support team

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

cds-question@unistra.fryoung-stellar-objectsvariable-starsphotometryvisible-astronomyWe present a variability and morphological classification study of TESS light curves for TTauri star candidates in the Orion, IC348, {gamma}Velorum, Upper Scorpius, Corona Australis, and Perseus OB2 regions. We propose 11 morphological classes linking brightness variation behaviors with possible physical or geometric phenomena present in TTauri stars, and develop a supervised machine-learning algorithm to automate the classification among these. Our algorithm optimizes and compares the true positive rate (recall) among k-nearest neighbors, classification trees, random forests, and support vector machines. This is done characterizing light curves with features depending on time, periodicity, and magnitude distribution. Binary and multiclass classifiers are trained and interpreted in a way that allows our final algorithm to have single or mixed classes. In the testing sample, the algorithm assigns mixed classes to 27% of the stars, reaching up to five simultaneous classes. A catalog of 3672 TTauri star candidates is presented, along with their possible period estimations, predicted morphological classes, and visually revised ones. The cross-validation estimated performance of the final classifiers is reported. Binary classifiers surpass multiclass recall values for classes with less representation in the training sample. Support vector machines and random forest classifiers obtain better recalls. For comparison, another performance estimation of the final classifiers is calculated using the revised classes of our testing sample, indicating that this performance excels in singled classed stars, which happens in about 75% of the testing sample.2023AJ....166..189Rhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/166/189CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toII/328 : AllWISE Data Release (Cutri+ 2013)IV/38 : TESS Input Catalog - v8.0 (TIC-8) (Stassun+, 2019)IV/39 : TESS Input Catalog version 8.2 (TIC v8.2) (Paegert+, 2021)J/AJ/129/907 : New Ori OB1 members (Briceno+, 2005)J/A+A/463/1017 : B and V light curves of AA Tau (Bouvier+, 2007)J/ApJ/733/50 : MIR photometric monitoring of ONC (Morales-Calderon+, 2011)J/ApJ/758/31 : IR photometry for members of Upper Sco (Luhman+, 2012)J/AJ/147/82 : Monitoring of disk-bearing stars in NGC 2264 (Cody+, 2014)J/ApJ/794/36 : {sigma}Orionis cluster stellar population (Hernandez+, 2014)J/ApJ/829/23 : Stellar flares from Q0-Q17 Kepler LCs (Davenport, 2016)J/MNRAS/462/2396 : Time-series photometry of IC 348 (Fritzewski+, 2016)J/AJ/152/114 : Pleiades members with K2 light curves. II. (Rebull+, 2016)J/A+A/586/A47 : Accretion process in NGC 2264 (Sousa+, 2016)J/A+A/599/A23 : Accretion-rotation connection in NGC 2264 (Venuti+, 2017)J/A+A/618/A93 : Gaia DR2 open clusters in Milky Way (Cantat-Gaudin+, 2018)J/AJ/156/71 : K2 Campaign 2 young disk-bearing in Sco & Oph (Cody+, 2018)J/AJ/156/84 : APOGEE-2 survey of Orion Complex. II. (Kounkel+, 2018)J/AJ/157/85 : CIDA Variability Survey of Orion OB1. II. (Briceno+, 2019)J/AJ/158/122 : Local structure & star formation of the MW (Kounkel+, 2019)J/ApJ/870/32 : Kinematics young star clusters & associations (Kuhn+, 2019)J/AJ/158/243 : A search for multiplanet systems with TESS (Pearson, 2019)J/AJ/158/25 : Automated triage and vetting of TESS candidates (Yu+, 2019)J/AJ/159/60 : 8695 flares 1228 stars in TESS sectors 1 &2 (Gunther+, 2020)J/ApJ/919/131 : Oscillating red giants from the TESS QLP (Hon+, 2021)J/AJ/161/273 : 181 new planet candidates with TESS (Olmschenk+, 2021)J/ApJ/923/177 : TESS obs. & rotational per of TTauri in Orion (Serna+, 2021)J/AJ/162/101 : K2 ugri & Ha photometry in the Lagoon Nebula (Venuti+, 2021)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/166/189https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/AJ/166/189http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/AJ/166/189https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/AJ/166/189https://vizier.iucaa.in/viz-bin/votable?-source=J/AJ/166/189http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/AJ/166/189GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/AJ/166/189/table7 (Catalog of both the training and testing samples)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/AJ/166/189/table7?https://vizier.iucaa.in/viz-bin/conesearch/J/AJ/166/189/table7?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/AJ/166/189/table7?GETtext/xml+votable180.050000true243.49553194-38.752288060.0055555555555555564/1339 1425 1427-1428 5/295 298 301 384 387-388 390 5350-5351 5354-5355 5368 5370 5696 5699 5718 5720-5721 5723-5724 5726-5727 5744 5748 5923 5926 9795 9798 9801-9804 9824 10664 10674 10678 10779 10785 10799 10823 10851 11955-11956 6/511 855 861 863 1134 1163 1171 1174 1177 1179 1190 1197-1199 1201 1210 1212-1213 1217 1226 1248 1250-1251 1258 1541-1545 1547 1564 1569 1572 21391 21399 21410 21413 21415 21441-21442 21448 21450-21451 21453-21454 21476-21477 21484 21486-21487 21501 22613 22615 22621 22788-22790 22793-22795 22816-22817 22820-22821 22823 22825 22828-22829 22831 22864 22866-22867 22870-22871 22876-22878 22888-22890 22900 22902-22903 22932-22933 22941 22980-22981 22988 22996-22998 23005 23029 23552 23560 23562 23584 23586-23587 23592 23594 23680 23690-23691 23699 23702 23715-23717 23719 23725 23727-23728 23730-23731 23736 23738-23739 24069 24080-24081 28678 28690 28740 28762 37955-37956 37959 37968 37970 37974 38145-38146 38148 38160 39039 39125 39174 39185-39187 39201-39203 39220 39222-39225 39230-39231 39266-39268 39270 39273-39275 39277 39288 39300 39302 39305 39365 41611 41637 41641 41643-41646 41651 41660 41664 41698 41704 41706 41708 41951 41960-41961 41972-41973 42410 42413 42415 42424 42426-42427 42526 42533 42539 42566 42568 42578-42579 42593 42598 42601 42603 42606 42609-42611 42613-42615 42617-42618 42620-42622 42635 42640 42645 42653 42655 42660 42662-42663 42674-42675 42681 42683-42684 42689 42692 42701 42705-42708 42710 42719 42725 42730 42736 42738 42753 42755-42756 42758 42768 42779 42792 42794 42804 42807 42809 42811-42813 42850-42851 42856-42858 42860 42881 42883-42884 42890 42899 42903 42905 42907 42919 42929 42932 42934 42936-42937 42944-42946 43009 43011-43012 43014-43015 43019-43021 43024 43028 43030-43031 43033 43037-43039 43046-43047 43052 43063 43067 43076 43091 43098 43101 43103 43110 43113-43114 43123-43126 43130 43135-43137 43139 43144 43147-43149 43152 43159-43160 43162 43164 43167-43169 43175 43177 43181-43183 43185 43187 43189-43190 43193 43195 43201 43204-43205 43210-43213 43215 43218 43222-43223 43229-43230 43232 43236 43241 43245-43247 43253-43255 43258 43260 43267 43270-43274 43278 43287 43300 43317 43330 43392 43394 43396 43398-43399 43401 43403 43411 43414 43417-43418 43420-43421 43424-43425 43428 43432 43459 43462 43464-43465 43525 43527 43533 43535 43538-43540 43543 43589 44086-44087 44092 44094 44104 44107 44130 44133 44136 44151 44153 44176 47739 47742 47798 47805 47807 47811 47813-47814 47819 47828 47830-47831 47834 47841 47844-47845 47847 47849 47852-47853 47855https://cdsarc.cds.unistra.fr/viz-bin/moc/J/AJ/166/189?format=asciiOpticaldefaultJ/AJ/166/189/table7Catalog of both the training and testing samplesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintTICTESS input catalog identifiermeta.id;meta.mainlongTmag[7.62/18.53] TESS magnitudemagphot.mag;em.optfloatRAJ2000[53/287] TESS Right Ascension (J2000)degpos.eq.ra;meta.mainDEJ2000[-69/37] TESS Declination (J2000)degpos.eq.dec;meta.mainPer[0.18/24.2]? Estimated perioddtime.perioddoublenullablePREDPrediction, final classification algorithm (1)meta.code.classcharINSPECFinal classification, sample dependent (1)meta.code.classcharflagAdditional flags (2)meta.code.errorcharsampleSample, testing or trainingmeta.codecharCLE[0/16.4] contamination level estimatormeta.codefloatSimbadSimbad column added by the CDSmeta.ref.urlchar