J/AJ/159/154ivo://CDS.VizieR/J/AJ/159/154doi:10.26093/cds/vizier.51590154CDSZink J.K.Hardegree-Ullman K.K.Christiansen J.L.Dressing C.D.,Crossfield I.J.M.Petigura E.A.Schlieder J.E.Ciardi D.R.2026-08-03T07:19:59Z2020-06-04T12:37:47ZCDS support team

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

cds-question@unistra.frexoplanetsphotometrystellar-radiivisible-astronomyWe present a uniform transiting exoplanet candidate list for Campaign 5 of the K2 mission. This catalog contains 75 planets with seven multi-planet systems (five double, one triple, and one quadruple planet system). Within the range of our search, we find eight previously undetected candidates, with the remaining 67 candidates overlapping 51% of the study of Kruse+, (2019, J/ApJS/244/11) that manually vets candidates from Campaign 5. In order to vet our potential transit signals, we introduce the Exoplanet Detection Identification Vetter (EDI-Vetter), which is a fully automated program able to determine whether a transit signal should be labeled as a false positive or a planet candidate. This automation allows us to create a statistically uniform catalog, ideal for measurements of planet occurrence rate. When tested, the vetting software is able to ensure that our sample is 94.2% reliable against systematic false positives. Additionally, we inject artificial transits at the light-curve level of the raw K2 data and find that the maximum completeness of our pipeline is 70% before vetting and 60% after vetting. For convenience of future studies of occurrence rate, we include measurements of stellar noise (CDPP; combined differential photometric precision --Christiansen+ 2012, J/PASP/124/1279) and the three-transit window function for each target.2020AJ....159..154Zhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/AJ/159/154CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toIV/34 : K2 Ecliptic Plane Input Catalog (EPIC) (Huber+, 2017)I/345 : Gaia DR2 (Gaia Collaboration, 2018)J/A+A/529/A75 : Limb-darkening coefficients (Claret+, 2011)J/PASP/124/1279 : Q3 Kepler's combined photometry (Christiansen+, 2012)J/ApJS/204/24 : Kepler planetary candidates. III. (Batalha+, 2013)J/ApJS/207/35 : Kepler pipeline signal-to-noise studies (Christiansen+, 2013)J/ApJ/767/95 : Stellar parameters of smallest KIC stars (Dressing+, 2013)J/ApJ/775/L11 : Stellar rotation periods for KOIs (McQuillan+, 2013)J/ApJ/809/8 : Terrestrial planet occurrence for KOI stars (Burke+, 2015)J/ApJ/810/95 : Kepler pipeline S/N studies. II (Christiansen+, 2015)J/ApJ/807/45 : Potent. habitable planets orbiting M dwarfs (Dressing+, 2015)J/ApJ/814/130 : Planet occurrence rates calculated for KOIs (Mulders+, 2015)J/ApJS/217/31 : Kepler planetary candidates. VI. 4yr Q1-Q16 (Mullally+, 2015)J/ApJS/217/16 : Kepler planetary candidates. V. 3yr Q1-Q12 (Rowe+, 2015)J/A+A/594/A100 : K2 new planetary and EB candidates (Barros+, 2016)J/ApJS/224/12 : Kepler planetary candidates. VII. 48-month (Coughlin+, 2016)J/ApJS/226/7 : Planet candidates discovered using K2 (Crossfield+, 2016)J/ApJS/224/2 : K2 EPIC stellar properties for 138600 targets (Huber+, 2016)J/ApJS/222/14 : Planetary candidates from 1st K2 mission (Vanderburg+, 2016)J/AJ/154/207 : K2 planetary systems orbiting low-mass stars (Dressing+,2017)J/AJ/154/109 : California-Kepler Survey III. (Fulton+, 2017)J/ApJ/866/99 : Radii of KIC stars & planets using Gaia DR2 (Berger+, 2018)J/AJ/156/78 : 44 validated planets from K2 Campaign 10 (Livingston+, 2018)J/AJ/155/136 : Planets orbiting bright stars in K2 campaigns (Mayo+, 2018)J/AJ/155/21 : Planet candidates from K2 campaigns 5-8 (Petigura+, 2018)J/ApJS/235/38 : Kepler planetary cand. VIII. (Thompson+, 2018)J/AJ/156/22 : Planetary candidates from K2 Campaign 16 (Yu+, 2018)J/AJ/156/259 : Robo-AO detected close binaries in Gaia DR2 (Ziegler+, 2018)J/AJ/158/75 : Mid-type M dwarfs planet occurrence (Hardegree-Ullman+,2019)J/AJ/158/109 : Occurrence rates of planets orbiting FGK stars (Hsu+, 2019)J/AJ/157/124 : DAVE. I. Benchmarking K2 vetting tools (Kostov+, 2019)J/ApJS/244/11 : Planet candidates and EBs in K2 campaigns 0-8 (Kruse+, 2019)J/AJ/157/169 : Identifying exoplanets with deep learning K2 (Dattilo+, 2019)http://keplerscience.arc.nasa.gov/k2-fields.html : K2 campaign fields & dateshttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/AJ/159/154https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/AJ/159/154http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/AJ/159/154https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/AJ/159/154https://vizier.iucaa.in/viz-bin/votable?-source=J/AJ/159/154http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/AJ/159/154GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/AJ/159/154/table3 (The campaign 5 planet candidates catalog)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/AJ/159/154/table3?https://vizier.iucaa.in/viz-bin/conesearch/J/AJ/159/154/table3?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/AJ/159/154/table3?GETtext/xml+votable180.050000true126.463932510.24696110.005555555555555556Cone search capability for table J/AJ/159/154/table1 (*The combined differential photometric precision (CDPP) and window function measurements for each stellar target)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/AJ/159/154/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/AJ/159/154/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/AJ/159/154/table1?GETtext/xml+votable180.050000true126.822953116.72026310.0055555555555555563/73 4/267 289 5/1063 1067 1074-1075 1078 1082-1083 1086 1130 1155 1164-1165 1167 1200 1204 1216 1218 1224 6/4245-4247 4250-4251 4262-4263 4265 4290 4293 4295 4306 4320 4322 4325 4327 4336 4338-4339 4349-4351 4514-4515 4524 4526 4613 4615 4645 4647 4664-4665 4667 4756-4757 4759 4804-4805 4820 4876 4878 4900 4904https://cdsarc.cds.unistra.fr/viz-bin/moc/J/AJ/159/154?format=asciiOpticaldefaultJ/AJ/159/154/table3The campaign 5 planet candidates catalogrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintEPIC[211319617/212172539] EPIC star identifiermeta.id.part;meta.mainlongm_EPIC[1/4] Planet candidate identifier within EPIC numbermeta.id.part;meta.mainintSimbadSimbad column added by the CDSmeta.ref.urlcharPeriod[0.82/35.4] Orbital perioddtime.perioddoublee_Period[9e-06/0.006] Uncertainty in Perioddstat.error;time.perioddoubleRp/R*[0.007/0.27] Planetary to stellar radii ratiophys.size;arith.ratiofloate_Rp/R*[0.0001/0.02] Uncertainty in Ratiostat.errordoubleRp[0.97/42.5] Planet radius(6.3781x10+6m)phys.size.radiusfloate_Rp[0.04/4.4] Uncertainty in Rp(6.3781x10+6m)stat.errorfloatt0[2306/2326] Transit ephemeris; Barycentric Julian Date (BJD-2454833)dtime.epochdoublee_t0[9e-05/0.009] Uncertainty in t0dstat.errordoubleb[0.1/1] Impact parametersrc.impactParamfloate_b[0.003/0.3] Uncertainty in bstat.errorfloattDur[1.04/8.38] Transit durationhtime.durationfloate_tDur[0.02/2.7] Uncertainty in tDurhstat.errorfloata/R*[1.7/62] Semi-major axis to stellar radii ratiophys.size.axisRatiofloate_a/R*[0.03/7.1] Uncertainty in a/R*stat.errorfloatR*[0.24/3.95] Stellar radiussolRadphys.size.radiusfloate_R*[0.008/6.3] Uncertainty in R*solRadstat.errorfloatu1[0.332/0.684] Limb darkening parameter 1phot.limbDarkfloatu2[0.06/0.32] Limb darkening parameter 2phot.limbDarkfloatMES[9/1067] Multiple event statistic (MES{propto}transit depth/CDPP) (1)stat.fit.paramdoubleK19Display data from Kruse+, 2019, J/ApJS/244/11 if anymeta.ref.urlintnullablePapIDisplay data from Paper I (Hardegree-Ullman+, 2020, J/ApJS/247/28 if anymeta.ref.urlintnullableProbDisplay the CDPP and window function measurements for this starmeta.ref.urlchar_RAPositions from EPIC star in SIMBAD (right ascension part)degpos.eq.ra;meta.main_DEPositions from EPIC star in SIMBAD (declination part)degpos.eq.dec;meta.mainJ/AJ/159/154/table1*The combined differential photometric precision (CDPP) and window function measurements for each stellar targetCDPP50[8/1854999]? CDPP RMS Value for Transit of 5.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP50[i] i: infinite valuemeta.codecharCDPP60[9/1567166]? CDPP RMS Value for Transit of 6.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP60[i] i: infinite valuemeta.codecharCDPP70[10/1609568]? CDPP RMS Value for Transit of 7.0hr (1)(10-6)instr.precisiondoublenullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintEPIC[211300349/228683400] EPIC star identifiermeta.id;meta.mainlongprimaryNpNumber of planete candidates for this star (link to Table 3)meta.numberintnullableCDPP10[5/5550974]? CDPP RMS Value for Transit of 1.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP10[i] i: infinite valuemeta.codecharCDPP15[8/1572165]? CDPP RMS Value for Transit of 1.5hr (1)(10-6)instr.precisiondoublenullablef_CDPP15[i] i: infinite valuemeta.codecharCDPP20[13/1893173]? CDPP RMS Value for Transit of 2.0hr (1)(10-6)instr.precisiondoublenullableCDPP25[7/3476858]? CDPP RMS Value for Transit of 2.5hr (1)(10-6)instr.precisiondoublenullableCDPP30[7/3246619]? CDPP RMS Value for Transit of 3.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP30[i] i: infinite valuemeta.codecharCDPP40[7/2253662]? CDPP RMS Value for Transit of 4.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP40[i] i: infinite valuemeta.codecharf_CDPP70[i] i: infinite valuemeta.codecharCDPP80[9/1051743]? CDPP RMS Value for Transit of 8.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP80[i] i: infinite valuemeta.codecharCDPP90[8/1159995]? CDPP RMS Value for Transit of 9.0hr (1)(10-6)instr.precisiondoublenullablef_CDPP90[i] i: infinite valuemeta.codecharCDPP100[8/2001956]? CDPP RMS Value for Transit of 10.0hr (1)(10-6)instr.precisiondoublenullable_RAPositions from K2 EPIC catalog (IV/34) (right ascension part)degpos.eq.ra;meta.mainindexed_DEPositions from K2 EPIC catalog (IV/34) (declination part)degpos.eq.dec;meta.mainindexedJ/AJ/159/154/fig11*The measured window function for all targets in Campaign 5 (data behind figure 11)EPICEPIC identifiermeta.id;meta.mainlongd327Probability of 3 Transits with P=32.7dstat.fit.goodnessfloatd352Probability of 3 Transits with P=35.2dstat.fit.goodnessfloatd353Probability of 3 Transits with P=35.3dstat.fit.goodnessfloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintd180Probability of 3 Transits with P=18.0dstat.fit.goodnessfloatd181Probability of 3 Transits with P=18.1dstat.fit.goodnessfloatd182Probability of 3 Transits with P=18.2dstat.fit.goodnessfloatd183Probability of 3 Transits with P=18.3dstat.fit.goodnessfloatd184Probability of 3 Transits with P=18.4dstat.fit.goodnessfloatd185Probability of 3 Transits with P=18.5dstat.fit.goodnessfloatd186Probability of 3 Transits with P=18.6dstat.fit.goodnessfloatd187Probability of 3 Transits with P=18.7dstat.fit.goodnessfloatd188Probability of 3 Transits with P=18.8dstat.fit.goodnessfloatd189Probability of 3 Transits with P=18.9dstat.fit.goodnessfloatd190Probability of 3 Transits with P=19.0dstat.fit.goodnessfloatd191Probability of 3 Transits with P=19.1dstat.fit.goodnessfloatd192Probability of 3 Transits with P=19.2dstat.fit.goodnessfloatd193Probability of 3 Transits with P=19.3dstat.fit.goodnessfloatd194Probability of 3 Transits with P=19.4dstat.fit.goodnessfloatd195Probability of 3 Transits with P=19.5dstat.fit.goodnessfloatd196Probability of 3 Transits with P=19.6dstat.fit.goodnessfloatd197Probability of 3 Transits with P=19.7dstat.fit.goodnessfloatd198Probability of 3 Transits with P=19.8dstat.fit.goodnessfloatd199Probability of 3 Transits with P=19.9dstat.fit.goodnessfloatd200Probability of 3 Transits with P=20.0dstat.fit.goodnessfloatd201Probability of 3 Transits with P=20.1dstat.fit.goodnessfloatd202Probability of 3 Transits with P=20.2dstat.fit.goodnessfloatd203Probability of 3 Transits with P=20.3dstat.fit.goodnessfloatd204Probability of 3 Transits with P=20.4dstat.fit.goodnessfloatd205Probability of 3 Transits with P=20.5dstat.fit.goodnessfloatd206Probability of 3 Transits with P=20.6dstat.fit.goodnessfloatd207Probability of 3 Transits with P=20.7dstat.fit.goodnessfloatd208Probability of 3 Transits with P=20.8dstat.fit.goodnessfloatd209Probability of 3 Transits with P=20.9dstat.fit.goodnessfloatd210Probability of 3 Transits with P=21.0dstat.fit.goodnessfloatd211Probability of 3 Transits with P=21.1dstat.fit.goodnessfloatd212Probability of 3 Transits with P=21.2dstat.fit.goodnessfloatd213Probability of 3 Transits with P=21.3dstat.fit.goodnessfloatd214Probability of 3 Transits with P=21.4dstat.fit.goodnessfloatd215Probability of 3 Transits with P=21.5dstat.fit.goodnessfloatd216Probability of 3 Transits with P=21.6dstat.fit.goodnessfloatd217Probability of 3 Transits with P=21.7dstat.fit.goodnessfloatd218Probability of 3 Transits with P=21.8dstat.fit.goodnessfloatd219Probability of 3 Transits with P=21.9dstat.fit.goodnessfloatd220Probability of 3 Transits with P=22.0dstat.fit.goodnessfloatd221Probability of 3 Transits with P=22.1dstat.fit.goodnessfloatd222Probability of 3 Transits with P=22.2dstat.fit.goodnessfloatd223Probability of 3 Transits with P=22.3dstat.fit.goodnessfloatd224Probability of 3 Transits with P=22.4dstat.fit.goodnessfloatd225Probability of 3 Transits with P=22.5dstat.fit.goodnessfloatd226Probability of 3 Transits with P=22.6dstat.fit.goodnessfloatd227Probability of 3 Transits with P=22.7dstat.fit.goodnessfloatd228Probability of 3 Transits with P=22.8dstat.fit.goodnessfloatd229Probability of 3 Transits with P=22.9dstat.fit.goodnessfloatd230Probability of 3 Transits with P=23.0dstat.fit.goodnessfloatd231Probability of 3 Transits with P=23.1dstat.fit.goodnessfloatd232Probability of 3 Transits with P=23.2dstat.fit.goodnessfloatd233Probability of 3 Transits with P=23.3dstat.fit.goodnessfloatd234Probability of 3 Transits with P=23.4dstat.fit.goodnessfloatd235Probability of 3 Transits with P=23.5dstat.fit.goodnessfloatd236Probability of 3 Transits with P=23.6dstat.fit.goodnessfloatd237Probability of 3 Transits with P=23.7dstat.fit.goodnessfloatd238Probability of 3 Transits with P=23.8dstat.fit.goodnessfloatd239Probability of 3 Transits with P=23.9dstat.fit.goodnessfloatd240Probability of 3 Transits with P=24.0dstat.fit.goodnessfloatd241Probability of 3 Transits with P=24.1dstat.fit.goodnessfloatd242Probability of 3 Transits with P=24.2dstat.fit.goodnessfloatd243Probability of 3 Transits with P=24.3dstat.fit.goodnessfloatd244Probability of 3 Transits with P=24.4dstat.fit.goodnessfloatd245Probability of 3 Transits with P=24.5dstat.fit.goodnessfloatd246Probability of 3 Transits with P=24.6dstat.fit.goodnessfloatd247Probability of 3 Transits with P=24.7dstat.fit.goodnessfloatd248Probability of 3 Transits with P=24.8dstat.fit.goodnessfloatd249Probability of 3 Transits with P=24.9dstat.fit.goodnessfloatd250Probability of 3 Transits with P=25.0dstat.fit.goodnessfloatd251Probability of 3 Transits with P=25.1dstat.fit.goodnessfloatd252Probability of 3 Transits with P=25.2dstat.fit.goodnessfloatd253Probability of 3 Transits with P=25.3dstat.fit.goodnessfloatd254Probability of 3 Transits with P=25.4dstat.fit.goodnessfloatd255Probability of 3 Transits with P=25.5dstat.fit.goodnessfloatd256Probability of 3 Transits with P=25.6dstat.fit.goodnessfloatd257Probability of 3 Transits with P=25.7dstat.fit.goodnessfloatd258Probability of 3 Transits with P=25.8dstat.fit.goodnessfloatd259Probability of 3 Transits with P=25.9dstat.fit.goodnessfloatd260Probability of 3 Transits with P=26.0dstat.fit.goodnessfloatd261Probability of 3 Transits with P=26.1dstat.fit.goodnessfloatd262Probability of 3 Transits with P=26.2dstat.fit.goodnessfloatd263Probability of 3 Transits with P=26.3dstat.fit.goodnessfloatd264Probability of 3 Transits with P=26.4dstat.fit.goodnessfloatd265Probability of 3 Transits with P=26.5dstat.fit.goodnessfloatd266Probability of 3 Transits with P=26.6dstat.fit.goodnessfloatd267Probability of 3 Transits with P=26.7dstat.fit.goodnessfloatd268Probability of 3 Transits with P=26.8dstat.fit.goodnessfloatd269Probability of 3 Transits with P=26.9dstat.fit.goodnessfloatd270Probability of 3 Transits with P=27.0dstat.fit.goodnessfloatd271Probability of 3 Transits with P=27.1dstat.fit.goodnessfloatd272Probability of 3 Transits with P=27.2dstat.fit.goodnessfloatd273Probability of 3 Transits with P=27.3dstat.fit.goodnessfloatd274Probability of 3 Transits with P=27.4dstat.fit.goodnessfloatd275Probability of 3 Transits with P=27.5dstat.fit.goodnessfloatd276Probability of 3 Transits with P=27.6dstat.fit.goodnessfloatd277Probability of 3 Transits with P=27.7dstat.fit.goodnessfloatd278Probability of 3 Transits with P=27.8dstat.fit.goodnessfloatd279Probability of 3 Transits with P=27.9dstat.fit.goodnessfloatd280Probability of 3 Transits with P=28.0dstat.fit.goodnessfloatd281Probability of 3 Transits with P=28.1dstat.fit.goodnessfloatd282Probability of 3 Transits with P=28.2dstat.fit.goodnessfloatd283Probability of 3 Transits with P=28.3dstat.fit.goodnessfloatd284Probability of 3 Transits with P=28.4dstat.fit.goodnessfloatd285Probability of 3 Transits with P=28.5dstat.fit.goodnessfloatd286Probability of 3 Transits with P=28.6dstat.fit.goodnessfloatd287Probability of 3 Transits with P=28.7dstat.fit.goodnessfloatd288Probability of 3 Transits with P=28.8dstat.fit.goodnessfloatd289Probability of 3 Transits with P=28.9dstat.fit.goodnessfloatd290Probability of 3 Transits with P=29.0dstat.fit.goodnessfloatd291Probability of 3 Transits with P=29.1dstat.fit.goodnessfloatd292Probability of 3 Transits with P=29.2dstat.fit.goodnessfloatd293Probability of 3 Transits with P=29.3dstat.fit.goodnessfloatd294Probability of 3 Transits with P=29.4dstat.fit.goodnessfloatd295Probability of 3 Transits with P=29.5dstat.fit.goodnessfloatd296Probability of 3 Transits with P=29.6dstat.fit.goodnessfloatd297Probability of 3 Transits with P=29.7dstat.fit.goodnessfloatd298Probability of 3 Transits with P=29.8dstat.fit.goodnessfloatd299Probability of 3 Transits with P=29.9dstat.fit.goodnessfloatd300Probability of 3 Transits with P=30.0dstat.fit.goodnessfloatd301Probability of 3 Transits with P=30.1dstat.fit.goodnessfloatd302Probability of 3 Transits with P=30.2dstat.fit.goodnessfloatd303Probability of 3 Transits with P=30.3dstat.fit.goodnessfloatd304Probability of 3 Transits with P=30.4dstat.fit.goodnessfloatd305Probability of 3 Transits with P=30.5dstat.fit.goodnessfloatd306Probability of 3 Transits with P=30.6dstat.fit.goodnessfloatd307Probability of 3 Transits with P=30.7dstat.fit.goodnessfloatd308Probability of 3 Transits with P=30.8dstat.fit.goodnessfloatd309Probability of 3 Transits with P=30.9dstat.fit.goodnessfloatd310Probability of 3 Transits with P=31.0dstat.fit.goodnessfloatd311Probability of 3 Transits with P=31.1dstat.fit.goodnessfloatd312Probability of 3 Transits with P=31.2dstat.fit.goodnessfloatd313Probability of 3 Transits with P=31.3dstat.fit.goodnessfloatd314Probability of 3 Transits with P=31.4dstat.fit.goodnessfloatd315Probability of 3 Transits with P=31.5dstat.fit.goodnessfloatd316Probability of 3 Transits with P=31.6dstat.fit.goodnessfloatd317Probability of 3 Transits with P=31.7dstat.fit.goodnessfloatd318Probability of 3 Transits with P=31.8dstat.fit.goodnessfloatd319Probability of 3 Transits with P=31.9dstat.fit.goodnessfloatd320Probability of 3 Transits with P=32.0dstat.fit.goodnessfloatd321Probability of 3 Transits with P=32.1dstat.fit.goodnessfloatd322Probability of 3 Transits with P=32.2dstat.fit.goodnessfloatd323Probability of 3 Transits with P=32.3dstat.fit.goodnessfloatd324Probability of 3 Transits with P=32.4dstat.fit.goodnessfloatd325Probability of 3 Transits with P=32.5dstat.fit.goodnessfloatd326Probability of 3 Transits with P=32.6dstat.fit.goodnessfloatd328Probability of 3 Transits with P=32.8dstat.fit.goodnessfloatd329Probability of 3 Transits with P=32.9dstat.fit.goodnessfloatd330Probability of 3 Transits with P=33.0dstat.fit.goodnessfloatd331Probability of 3 Transits with P=33.1dstat.fit.goodnessfloatd332Probability of 3 Transits with P=33.2dstat.fit.goodnessfloatd333Probability of 3 Transits with P=33.3dstat.fit.goodnessfloatd334Probability of 3 Transits with P=33.4dstat.fit.goodnessfloatd335Probability of 3 Transits with P=33.5dstat.fit.goodnessfloatd336Probability of 3 Transits with P=33.6dstat.fit.goodnessfloatd337Probability of 3 Transits with P=33.7dstat.fit.goodnessfloatd338Probability of 3 Transits with P=33.8dstat.fit.goodnessfloatd339Probability of 3 Transits with P=33.9dstat.fit.goodnessfloatd340Probability of 3 Transits with P=34.0dstat.fit.goodnessfloatd341Probability of 3 Transits with P=34.1dstat.fit.goodnessfloatd342Probability of 3 Transits with P=34.2dstat.fit.goodnessfloatd343Probability of 3 Transits with P=34.3dstat.fit.goodnessfloatd344Probability of 3 Transits with P=34.4dstat.fit.goodnessfloatd345Probability of 3 Transits with P=34.5dstat.fit.goodnessfloatd346Probability of 3 Transits with P=34.6dstat.fit.goodnessfloatd347Probability of 3 Transits with P=34.7dstat.fit.goodnessfloatd348Probability of 3 Transits with P=34.8dstat.fit.goodnessfloatd349Probability of 3 Transits with P=34.9dstat.fit.goodnessfloatd350Probability of 3 Transits with P=35.0dstat.fit.goodnessfloatd351Probability of 3 Transits with P=35.1dstat.fit.goodnessfloatd354Probability of 3 Transits with P=35.4dstat.fit.goodnessfloatd355Probability of 3 Transits with P=35.5dstat.fit.goodnessfloatd356Probability of 3 Transits with P=35.6dstat.fit.goodnessfloatd357Probability of 3 Transits with P=35.7dstat.fit.goodnessfloatd358Probability of 3 Transits with P=35.8dstat.fit.goodnessfloatd359Probability of 3 Transits with P=35.9dstat.fit.goodnessfloatd360Probability of 3 Transits with P=36.0dstat.fit.goodnessfloatd361Probability of 3 Transits with P=36.1dstat.fit.goodnessfloatd362Probability of 3 Transits with P=36.2dstat.fit.goodnessfloatd363Probability of 3 Transits with P=36.3dstat.fit.goodnessfloatd364Probability of 3 Transits with P=36.4dstat.fit.goodnessfloatd365Probability of 3 Transits with P=36.5dstat.fit.goodnessfloatd366Probability of 3 Transits with P=36.6dstat.fit.goodnessfloatd367Probability of 3 Transits with P=36.7dstat.fit.goodnessfloatd368Probability of 3 Transits with P=36.8dstat.fit.goodnessfloatd369Probability of 3 Transits with P=36.9dstat.fit.goodnessfloatd370Probability of 3 Transits with P=37.0dstat.fit.goodnessfloatd371Probability of 3 Transits with P=37.1dstat.fit.goodnessfloatd372Probability of 3 Transits with P=37.2dstat.fit.goodnessfloatd373Probability of 3 Transits with P=37.3dstat.fit.goodnessfloatd374Probability of 3 Transits with P=37.4dstat.fit.goodnessfloatPlotInteractive plot for this starmeta.ref.urlcharJ/AJ/159/154/plotThe measured window function for all targets in campaign 5 including Periods; table added by CDSrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintEPIC[211300349/228683400] EPIC identifiermeta.id;meta.mainlongindexedPer[18/37.9] Perioddtime.periodfloatProb[0/1] Probability of 3 transitsstat.probabilityfloat