J/MNRAS/499/4011ivo://CDS.VizieR/J/MNRAS/499/4011doi:10.26093/cds/vizier/bg-fk-3xbCDSChakraborty J.Wheeler A.Kipping D.2026-08-03T07:30:23Z2023-11-07T10:47:55ZCDS support team

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

cds-question@unistra.freclipsing-binary-starsmultiple-starseffective-temperaturephotometryvisible-astronomyWe apply the weirddetector, a non-parametric signal detection algorithm based on phase dispersion minimization, in a search for low duty-cycle periodic signals in the Transiting Exoplanet Survey Satellite (TESS) photometry. Our approach, in contrast to commonly used model-based approaches specifically for flagging transits, eclipsing binaries, or other similarly periodic events, makes minimal assumptions about the shape of a periodic signal, with the goal of finding 'weird' signals of unexpected or arbitrary shape. In total, 248301 TESS sources from the first-year Southern sky survey are run through the weirddetector, of which we manually inspect the top 21500 for periodicity. To minimize false-positives, we here only report on the upper decile in terms of signal score, a sample for which we obtain 97% recall of TESS eclipsing binaries and 62% of the TOIs. In our sample, we find 377 previously unreported periodic signals, for which we make a first-pass assignment that 26 are ultra-short periods (<0.3d), 313 are likely eclipsing binaries, 28 appear planet-like, and 10 are miscellaneous signals.2020MNRAS.499.4011Chttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/499/4011CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toIV/38 : TESS Input Catalog - v8.0 (TIC-8) (Stassun+, 2019)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/499/4011https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/499/4011http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/499/4011https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/MNRAS/499/4011https://vizier.iucaa.in/viz-bin/votable?-source=J/MNRAS/499/4011http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/MNRAS/499/4011GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/MNRAS/499/4011/tablea1 (Parameters for all 377 WOIs)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/499/4011/tablea1?https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/499/4011/tablea1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/499/4011/tablea1?GETtext/xml+votable180.050000true56.679.90.0055555555555555566/147 194 263 4123 4163 4174 4281 4617 4648 16553 16567 16663 16687 16812 16817 16897 17304 17365 17601 17797 17933 20517 20528 20534 20557 20623 20713 20742 20776 20791 20829 20847 20870 20911 20953 20958 21016 21031 21039 21051 21064 21100 21127 21142 21204 21295 21306 21365 21470 21473 21488 21501 21642 21646 22243 22300 22331 22391 22406 22413 22453 22602 22618 22719 22736 22778 22785 22827 23088 23101 23159 23196 23330 23466 23488 23618 23694 23712 23717 23724 24645 24758 24906 24974 25083 25151 25223 26693 26714 26741 27056 27137 27144 27233 27303 28735 32817 32842 32846 32940 32963-32964 33018 33061 33144 33146 33159 33161 33263 33265 33311 33415 33437 33472-33473 33488 33562 33580 33623 33729 33743 33782 33810 33815 33820 33827 33836 33852 33862 33870 33872 33917 33929 33932 33949 33962 33983 33986 34001 34042 34056 34113 34189 34239 34274 34390 34435 34485 34490 34671 34688 34779 34821 34953 34972 35027 35085 35095 35153 35199 35258 35269 35283 35356 35482 35512 35896 35919 35926 35985 36047 36156 36196 36293 36316 36484 36499 36514 36568 36725 36796 36905 36954 37024 37033 37065 37113-37114 37207 37388 37398 37426 37437 37446 37487 37496 37537 37561 37565-37566 37568 37572 37578 37606 37627 37718 37761 37787 37851 37935 37947 37991 38072 38164 38188 38290 38322 38329 38375 38390 38481 38536 38641 38664 38709 38784 38834 38916 38932 38949 38957 38968 38971 38976 38986 38989 39055 39059 39065 39085 39089 39091 39117 39142 39206 39224 39326 39425 39431 39444 39469 39511 39541 39649 39667-39668 39697 39916 39940 39994 40029 40088 40104 40130 40211 40392 40657 40711 40713 40750 40763 40834 41026 41102 41116 41124 41239 41257 41266 41269 41287 41290 41328 41396 41398 41610 41641 41650 41791 41838 41915 41940 41947 42037 42063 42085 42291 42463 42576 42895 42917 43008 43090 43254 43400 43430 43451 43500 43604 43611 43642 43666 43854 43857 43951 43977 44107 44172 44177 44200 44268 45294 45319 45330 45355 45417 45491 45600 45700 45827 45925 45962 46252 46387 46429-46430 46466 46612 46684 46771 46866 46881 46896 47032 47131 47243 47278 47354 47378 47501 47506 47659 47667 47672 47708 47725 47811 47821 47831-47832 47870 48018 48030 48067 48174 48179 48182 48309 48441https://cdsarc.cds.unistra.fr/viz-bin/moc/J/MNRAS/499/4011?format=asciiOpticaldefaultJ/MNRAS/499/4011/tablea1Parameters for all 377 WOIsTICTIC source identifiermeta.id;meta.mainlongSimbadNameSimbad column added by the CDSmeta.idcharnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintPPerioddtime.periodfloatzetapeakMerit function (1)stat.fit.goodnessdoubleDchi2{Delta}{chi}^2^=median({chi}^2^)-{chi}^2^stat.fit.goodnessdoublekappaKurtosis (2)stat.fit.paramdoubleTeff? Effective temperatureKphys.temperature.effectiveintnullablelogg? Surface gravitylog(cm.s**-2)phys.gravityfloatnullabledipsNumber of significant dipsmeta.numberintdeltaDepth of the dip (in percentage)%src.var.amplitudedoubleRAJ2000Right ascension (J2000)degpos.eq.ra;meta.mainDEJ2000Declination (J2000)degpos.eq.dec;meta.mainFlat[y/n] Indicates if the baseline is flatmeta.codecharClassClassification of the signal (3)meta.code.classchar