<?xml-stylesheet href='/static/xsl/oai.xsl' type='text/xsl'?>
<ri:Resource created="2020-01-10T09:37:44Z" status="active" updated="2025-05-19T09:50:00Z" version="1.2" xmlns:cs="http://www.ivoa.net/xml/ConeSearch/v1.0" xmlns:ri="http://www.ivoa.net/xml/RegistryInterface/v1.0" xmlns:vr="http://www.ivoa.net/xml/VOResource/v1.0" xmlns:vs="http://www.ivoa.net/xml/VODataService/v1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.ivoa.net/xml/ConeSearch/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/ConeSearch.xsd http://www.ivoa.net/xml/VOResource/v1.0 http://vo.ari.uni-heidelberg.de/docs/schemata/VOResource.xsd http://www.ivoa.net/xml/VODataService/v1.1 http://vo.ari.uni-heidelberg.de/docs/schemata/VODataService.xsd" xsi:type="vs:CatalogService"><title>TESS planet candidates classification</title><shortName>J/A+A/633/A53</shortName><identifier>ivo://CDS.VizieR/J/A+A/633/A53</identifier><altIdentifier>doi:10.26093/cds/vizier.36330053</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Osborn H.P.</name></creator><creator><name>Ansdell M.</name></creator><creator><name>Ioannou Y.</name></creator><creator><name>Sasdelli M.</name></creator><creator><name>Angerhausen D.,Caldwell D.A.</name></creator><creator><name>Jenkins J.M.</name></creator><creator><name>Raissi C.</name></creator><creator><name>Smith J.C.</name></creator><date role="Updated">2020-04-22T08:18:14Z</date><date role="Created">2020-01-10T09:37:44Z</date><contact><name>CDS support team</name><address>CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France</address><email>cds-question@unistra.fr</email></contact></curation><content><subject>multiple-stars</subject><subject>solar-system-planets</subject><description>Accurately and rapidly classifying exoplanet candidates from transit surveys is a goal of growing importance as the data rates from space-based survey missions increase. This is especially true for NASA's TESS mission which generates thousands of new candidates each month. Here we created the first deep learning model capable of classifying TESS planet candidates. We adapted the neural network model of Ansdell et al (2018) to TESS data. We then trained and tested this updated model on 4 sectors of high-fidelity, pixel-level simulations data created using the Lilith simulator &amp; processed using the full TESS pipeline. With the caveat that direct transfer of the model to real data will not perform as accurately, we also applied this model to four sectors of TESS candidates. We find our model performs very well on our simulated data, with 97% average precision and 92% accuracy on planets in the 2-class model. This accuracy is also boosted by another ~4% if planets found at the wrong periods are included. We also performed 3- and 4-class classification of planets, blended &amp; target eclipsing binaries, and non-astrophysical false positives, which have slightly lower average precision and planet accuracies, but are useful for follow-up decisions. When applied to real TESS data, 61% of Threshold Crossing Events (TCEs) coincident with currently published TOIs are recovered as planets, 4% more are suggested to be Eclipsing Binaries, and we propose a further 200 TCEs as planet candidates.</description><source format="bibcode">2020A&amp;A...633A..53O</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/633/A53</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/J/AJ/156/102">J/AJ/156/102 : TESS Input Catalog and Candidate Target List (Stassun+, 2019)</relatedResource></relationship></content><rights>https://cds.unistra.fr/vizier-org/licences_vizier.html</rights><capability><interface xsi:type="vr:WebBrowser"><accessURL use="full">https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/633/A53</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/633/A53</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/633/A53</mirrorURL></interface></capability><capability><interface xsi:type="vs:ParamHTTP"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/633/A53</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/633/A53</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/633/A53</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface></capability><capability standardID="ivo://ivoa.net/std/TAP#aux"><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://tapvizier.cds.unistra.fr/TAPVizieR/tap</accessURL></interface></capability><capability xsi:type="cs:ConeSearch" standardID="ivo://ivoa.net/std/ConeSearch"><description>Cone search capability for table J/A+A/633/A53/tceclass (Class probability estimates for each Threshold Crossing Event (TCE) (Tables A1 and A2))</description><interface xsi:type="vs:ParamHTTP" role="std"><accessURL use="base">https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/633/A53/tceclass?</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/633/A53/tceclass?</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South Africa">http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/633/A53/tceclass?</mirrorURL><queryType>GET</queryType><resultType>text/xml+votable</resultType></interface><maxSR>180.0</maxSR><maxRecords>50000</maxRecords><verbosity>true</verbosity><testQuery><ra>346.82889694</ra><dec>-60.87635806</dec><sr>0.005555555555555556</sr></testQuery></capability><coverage><spatial>4/2433 5/4122 4328 8211 8214 8220 8247 8251-8252 8256 8260-8261 8263 8266 8268-8269 8272 8274-8276 8278 8280 8282 8285 8299 8384 8395 8450-8451 8456 8459 8465 8705 8979 9128 9179 9193 9198 9259 9274 9344 9346 9349-9351 9353-9354 9356 9358-9359 9368-9369 9376 9378-9379 9391-9392 9395 9402 9728-9729 9738 9740 9742 9744 9761 9763 9769 11537 11584 11680 11716 12047 12057-12059 12069 12079 12081 12086 6/0 3-5 7-9 12 14 16 18 39 45 49 57 78 99 109-110 114 129 134 137 144-145 147-148 153 193 16387 16393 16395 16405 16411 16416 16426 16432 16434 16437-16439 16441 16443 16448-16450 16454-16455 16459 16469 16472 16474 16481 16486 16497 16500-16502 16511-16512 16515 16521 16524-16525 16534 16537 16539 16543 16546-16547 16551 16553 16556 16558 16567 16570 16573 16576 16581 16584 16592-16593 16601-16602 16604 16620 16622 16629 16631 16637 16641 16657-16658 16662-16663 16667 16679 16683-16684 16687 16693 16700 16703 16719 16722 16731 16742 16746-16747 16752 16765-16768 16775 16795 16799-16800 16802 16804 16807 16809 16812 16815 16817 16843 16847 16849 16862 16869 16872-16873 16877 16882 16885 16888 16892 16897 16901-16904 16926 16937-16938 16943 16947 16954 16971 16977 16982 16985 16989-16990 16993 16997 16999 17002 17004 17007 17013 17018-17020 17022 17024 17026 17037-17038 17040 17044-17045 17049 17054 17058 17060 17064-17065 17070 17072 17075 17080 17088-17090 17093 17095 17097 17099 17103 17106-17107 17114-17115 17119-17120 17124 17137 17139 17142 17146 17154-17156 17158 17161 17163 17166-17167 17191-17193 17200-17202 17216 17220 17223 17226-17229 17237 17242 17253 17255 17262 17264 17268 17270 17278 17280 17283 17285 17288 17290-17292 17297 17300 17307 17310-17311 17328 17361 17365 17416 17424 17427 17431 17449 17463 17470 17473-17474 17479 17495 17503 17508 17512 17545-17546 17551-17552 17563 17568 17571 17583 17588-17589 17601 17603 17605-17607 17612-17613 17616 17629 17631 17638 17640-17641 17645 17650 17652-17654 17657 17659 17670-17671 17681 17685-17687 17694 17698 17702 17705 17713 17716-17717 17721-17722 17726-17727 17738 17748 17750-17754 17757-17759 17763-17764 17768 17772 17774 17777 17779 17781 17783 17787-17788 17797 17808 17816 17818-17821 17833 17841 17843-17844 17855 17857 17862 17865 17872-17873 17882 17885-17886 17890-17893 17897 17905 17912 17922 17931 17933-17934 17940-17941 17944 17953 17960 17962 17965 17967 17969-17970 17985 17989-17990 17995 17999-18000 18016 18018 18177 18432-18433 18441 18450 23040 23042 23050-23051 23054 23086-23087 23168 23175 23178 23181 23183-23184 23196 23201 23210-23212 23214-23215 23217 23225-23226 23228 23272 32789-32790 32795 32805 32811 32816-32817 32820 32826-32828 32830-32831 32836 32838 32842-32843 32848 32851 32854-32855 32861 32863 32865 32868 32871 32875-32877 32884 32888 32890 32892-32893 32908 32910 32912 32914 32918 32921 32923 32926 32930-32931 32937 32940 32952 32954 32958-32960 32963-32964 32967 32970-32971 32973-32976 32979-32980 32982-32983 32985 32987 32992 32994 32996 32999-33000 33014 33016 33018 33020-33022 33028-33029 33033-33034 33036 33038-33039 33048-33050 33056 33058-33062 33068 33070-33071 33081-33082 33086-33087 33093-33095 33108 33110 33116 33118 33124 33126-33127 33133-33135 33137-33138 33144-33146 33148-33149 33151 33154-33157 33159-33160 33163-33164 33166 33169-33170 33173 33180-33181 33185 33190-33191 33193-33194 33200-33201 33203 33206-33208 33210-33212 33216 33220 33222 33225 33228 33230-33231 33235-33238 33240-33242 33245-33249 33251-33252 33255-33256 33260-33261 33263 33265 33267 33275-33276 33278-33279 33283 33292 33299 33303 33305-33306 33315 33317 33320 33323 33329-33330 33333-33334 33338-33340 33344 33348-33349 33357 33360-33361 33365 33367 33370 33372 33375 33377-33378 33382 33385-33386 33389 33396-33398 33403 33411 33415 33421-33422 33425-33426 33428-33430 33432 33437 33439 33447 33449-33450 33455-33457 33460-33462 33464-33465 33467-33468 33470-33473 33475 33477-33478 33480 33483 33487-33488 33492-33493 33495 33499 33501 33506-33508 33510 33513-33516 33523 33525 33528-33529 33531 33533 33540 33543 33545-33548 33550-33552 33555-33556 33558 33560 33562-33563 33565-33566 33569 33572 33576 33579 33584-33585 33587 33589 33591 33593-33595 33597-33598 33605 33607 33613 33617 33620-33621 33623-33624 33634 33648 33666 33669-33670 33674 33677-33678 33680 33686-33689 33691 33693-33694 33697 33702 33705-33707 33716 33719 33723-33724 33729 33733 33737-33739 33743 33755 33766 33772-33773 33779 33781-33782 33790-33793 33795-33798 33809-33810 33812 33814-33818 33820-33822 33828-33830 33832 33834 33840 33844 33847 33849-33854 33856 33858 33864-33866 33868 33871-33872 33874-33876 33879-33880 33882 33884 33888-33890 33892 33894 33896 33898-33899 33901-33902 33914 33917 33922 33924 33928-33930 33932 33936-33938 33943 33946 33949 33953 33956 33958-33959 33961-33962 33965-33967 33972 33976 33983 33986-33987 33993 33995 34001-34003 34005 34012 34015-34016 34021 34026 34031 34042 34047-34048 34050-34051 34053-34054 34056 34085 34091 34094-34095 34098 34104 34178 34181 34186 34193 34203 34211 34219 34224 34235 34309-34310 34312 34314 34321 34326 34328 34332 34336 34339 34347 34350 34353 34355 34359 34365 34370-34373 34377 34384-34385 34390 34393 34406 34408 34415 34417 34421 34423 34433 34435-34436 34446 34450-34452 34454 34456 34458 34463 34468 34471 34482 34485-34486 34490 34496 34525-34526 34537 34556 34561 34565-34566 34571 34577 34586 34592 34598 34611-34612 34688 34702 34704 34708 34714 34717 34721 34723 34735-34736 34739 34784 34795 34819 34824-34825 34827 34830 34833 34835 34837 34841 34843 34845 34848-34849 34856-34857 34859-34860 34864-34865 34870 34873 34880 34886 34889 34898 34903 34907 34909-34912 34914 34929-34930 34932 34935 34937 34940-34941 34946 34948-34949 34953-34954 34957 34959 34966 34975-34977 34979 34981 34984 34986 34994-34996 35001 35017-35018 35025 35027 35029 35034 35038-35040 35055-35057 35072 35075 35085-35086 35090-35091 35095-35096 35108 35112 35115 35119 35128 35131 35149-35153 35157 35159 35173 35180 35188 35191 35195-35197 35199-35201 35203 35205 35209-35210 35216 35218 35225 35227-35228 35234 35258 35269 35271 35275 35282-35283 35287 35294 35307 35315 35317 35331-35333 35336 35356 35360 35364 35375 35406 35408-35409 35413 35415 35422-35423 35439 35447 35451 35456 35459 35482 35497 35508 35512 35515 35517 35531 35534-35536 35550 35555 35567 35571 35573 35578 35586 35588 35595 35603 35608 35611 35622 35641 35667-35668 35673 35676 35690 35698-35699 35711 35735 35739 35741 35749 35761 35780 35782 35791 35810 35814 35822 35828 35830 35841 35845 35847-35848 35850 35853-35854 35859-35860 35863 35868 35875 35885 35887 35896 35902 35911 35914 35925-35926 35939-35940 35949-35950 35954 35956-35957 35962 35967 35975 35985 35993-35994 36004-36006 36015 36028-36029 36034 36045 36047 36055 36057-36058 36060 36067 36081 36093 36104 36112-36113 36116 36129 36139-36140 36142 36146 36149-36150 36154 36156-36158 36160 36196 36205 36218 36226 36230-36231 36234 36237-36239 36241-36243 36248 36253 36262 36265 36292-36293 36300 36304 36307 36315 36318 36346-36349 36367 36374 36379 36384-36385 36393 36401 36405 36419 36428 36431 36454 36466 36468 36472 36475 36479 36484 36487 36489 36492 36494 36497-36499 36509-36511 36517 36521 36525-36526 36535 36539 36541-36543 36546 36550 36552 36554 36556 36568 36571 36573 36580 36587 36594-36595 36605 36607 36612 36614 36621 36627 36635 36641 36643 36650 36658 36661 36667 36686-36687 36698 36700-36701 36704-36705 36711 36715 36720 36725 36735 36739 36743-36744 36746 36749-36750 36758 36762 36776 36781 36784 36791 36797 36799-36800 36803 36805-36806 36813 36817 36841 36848-36849 36854 36863 37000 37006 37022 37024 37028 37033-37035 37040-37041 37043 37046-37047 37050-37053 37055 37064 37066 37090-37091 37100-37102 37112-37114 37380-37381 37383 37388-37389 37391-37393 37395 37408 37410 37421-37423 37429-37430 37440 37442-37444 37446 37448 37450 37452-37454 37456-37457 37480-37481 37483-37485 37487-37488 37490-37491 37494 37496-37498 37500 37508-37509 37511 37520-37522 37524 37528-37530 37533-37538 37540-37542 37545-37549 37553-37554 37557-37558 37561-37563 37572-37574 37576-37578 37585-37588 37590 37592-37594 37600 37602-37606 37613-37614 38922-38925 38927 38945-38950 38956-38957 38959 38965-38967 38972 38974-38975 38980 38983 38985-38986 38990 39016 39040 39042-39043 39048 39051 39059-39060 39063-39064 39066 39068-39069 39071-39073 39075 39080-39081 39084 39090-39091 39424-39426 39428 39458 45120 45125 45134 45149 45157 45169 45172 45183 45269 45319-45320 45324 45326 45336 45343 45350-45351 45355 45360 45363 45366-45367 45369 45372 45374 45378 45380 45382 45385 45389-45391 45412 45416-45417 45419 45427 45449 45453 45467 45471 45476 45490-45491 45499 45502-45503 45507 45510 45522 45524 45527 45536 45539 45541-45542 45544 45547 45552-45553 45566 45846 45852 45855 45876 45879 45900 45902 45905-45906 45908 45910 45913 45918 45922 45925 45927 45929 45931 45934 45937 45941-45942 45944 45948 46031-46032 46038 46046 46065 46067 46070 46072 46079 46081-46082 46084 46088 46091 46093-46094 46096 46098-46099 46101 46108-46109 46111 46115 46128 46135 46138 46158-46160 46162 46167 46172 46179 46181 46198 46200 46209 46211 46214 46218-46219 46225 46227 46239 46242 46245 46249 46251-46252 46262 46281-46282 46291 46298 46300 46308 46310 46316 46318 46320 46330 46333-46334 46344 46351 46359 46366-46367 46373 46380 46383 46387 46393-46394 46396 46405-46407 46421 46425 46428-46430 46434 46437 46440 46445 46452 46456 46462 46466-46468 46473 46476 46481 46484 46486-46489 46492 46495 46497-46498 46502 46506 46509-46511 46518-46520 46523-46524 46526 46529 46546 46549-46550 46554 46557 46561 46568 46570 46574-46575 46585 46598 46608 46612 46616-46617 46623-46624 46648 46651 46653 46655-46656 46658 46670 46684 46693 46696 46709 46712-46713 46717-46718 46725-46727 46733-46734 46750 46753-46754 46771 46796-46797 46805-46808 46812 46828 46837-46838 46846 46854-46855 46862 46868 46873 46877 46881 46886-46887 46891 46899 46901 46903 46908-46910 46925 46928 46931 46934 46949 46952 46961-46963 46974-46975 46977-46978 46982 46988 46990 46993 47000 47005 47008 47024 47030 47032 47035 47045 47047 47058-47060 47067 47074 47081 47084 47095 47101 47446 47453-47454 47477 48128 48132 48137 48141 48143 48148-48149 48152 48155 48158-48159 48163-48164 48168-48169 48174-48175 48178-48179 48181-48185 48187 48194-48195 48202-48204 48206-48207 48210 48216 48222 48225-48227 48240-48241 48243 48248 48250-48251 48254 48257 48259 48262-48263 48268 48271 48273-48275 48281 48284 48286-48287 48304-48305 48309-48311 48313 48321-48322 48328-48329 48331-48334 48338 48341 48348 48351 48353-48354 48357-48358 48361 48388 48394 48397-48398 48404 48406 48410 48414-48415 48419-48420 48424-48425 48428 48430-48432 48441-48442 48444-48446 48452-48453 48457-48461 48463 48472 48474 48481 48484 48486 48498 48513 48517-48518 48520-48521 48529</spatial><footprint ivo-id="ivo://ivoa.net/std/moc">https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/633/A53?format=ascii</footprint></coverage><tableset><schema><name>default</name><table><name>J/A+A/633/A53/tceclass</name><description>Class probability estimates for each Threshold Crossing Event (TCE) (Tables A1 and A2)</description><column><name>Tdur</name><description>TCE Duration (TDUR)</description><unit>h</unit><ucd>time.duration</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>recno</name><description>Record number assigned by the VizieR team. Should Not be used for identification.</description><ucd>meta.record</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Name</name><description>Unique Threshold Crossing Event (TCE) identifier, in the form TID_ndet_sector (IDTCE)</description><ucd>meta.id;instr.sensitivity</ucd><dataType xsi:type="vs:VOTableType" arraysize="18*">char</dataType></column><column><name>P2med</name><description>Planet class probability (2-class model, median average over ensemble of models) (binary_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P2av</name><description>Planet class probability (2-class model, mean average over ensemble of models) (binary_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P3UNKmed</name><description>Unknown class probability (3-class model, median average over ensemble of models) (3class_UNK_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P3UNKav</name><description>Unknown class probability (3-class model, mean average over ensemble of models) (3class_UNK_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P3PLmed</name><description>Planet class probability (3-class model, median average over ensemble of models) (3class_PL_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P3PLav</name><description>Planet class probability (3-class model, mean average over ensemble of models) (3class_PL_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P3EBmed</name><description>EB class probability (3-class model, median average over ensemble of models) (3class_EB_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P3EBav</name><description>EB class probability (3-class model, mean average over ensemble of models) (3class_EB_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4UNKme</name><description>Unknown class probability (4-class model, median average over ensemble of models) (4class_UNK_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4UNKav</name><description>Unknown class probability (4-class model, mean average over ensemble of models) (4class_UNK_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4PLmed</name><description>Planet class probability (4-class model, median average over ensemble of models) (4class_PL_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4PLav</name><description>Planet class probability (4-class model, mean average over ensemble of models) (4class_PL_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4EBmed</name><description>EB class probability (4-class model, median average over ensemble of models) (4class_EB_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4EBav</name><description>EB class probability (4-class model, mean average over ensemble of models) (4class_EB_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4BEBme</name><description>BEB class probability (4-class model, median average over ensemble of models) (4class_BEB_med)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>P4BEBav</name><description>BEB class probability (4-class model, mean average over ensemble of models) (4class_BEB_av)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Nans</name><description>[False/True ] Is the input data affected by Nans? (nans)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="5*">char</dataType></column><column><name>Pplavall</name><description>Planet class probability (mean average over all 2-,3- &amp; 4-class models) (pl_av_all)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Pplmedall</name><description>Planet class probability (median average over all 2-,3- &amp; 4-class models) (pl_med_all)</description><ucd>stat.fit.goodness</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Rank</name><description>Ranked position in pl_av_all column (rank)</description><ucd>meta.note</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>MaxMES</name><description>Max Multiple Event Statistic (total SNR) (MAXMES)</description><ucd>stat.fit.param</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>MaxSES</name><description>Max Single Event Statistic (individual transit SNRs) (MAXSES)</description><ucd>stat.fit.param</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>Tdepth</name><description>TCE Depth (TDEPTH)</description><unit>(10-6)</unit><ucd>phot.flux.density;arith.ratio</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Tepoch</name><description>Epoch of first transit (BJD-2454833.0) (TEPOCH)</description><unit>d</unit><ucd>time.epoch</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>Tperiod</name><description>TCE Period (TPERIOD)</description><unit>d</unit><ucd>time.period</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>TSNR</name><description>? TCE in-transit SNR (TSNR)</description><ucd>stat.snr</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>ndet</name><description>[0/11] Index of Threshold Crossing Event (TCE) for this TID (n_det)</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Sector</name><description>TESS sector (1-4, 99=multi-sector) (sector)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType">int</dataType></column><column><name>Sectors</name><description>[1 2 3 4] TESS sectors searched (sectors)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="5*">char</dataType></column><column><name>is-TOI</name><description>[0.0/1] TCE matches identified TOI (1 = good match) (is_toi)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>TOI</name><description>[101.01/419.01]? Tess Object of Interest number (toi)</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>TOIdisp</name><description>[0.0 O PC] TOI disposition (toi_disp)</description><ucd>meta.code</ucd><dataType xsi:type="vs:VOTableType" arraysize="3*">char</dataType></column><column><name>TIC</name><description>Tess ID (from Tess input catalogue) (TID)</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">long</dataType></column><column><name>ID</name><description>ID (from Tess input catalogue), TIC.0 (ID)</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>[M/H]</name><description>? Target star Metallicity (MH)</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>Teff</name><description>? Target star effective surface temperature (Teff)</description><unit>K</unit><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>Tmag</name><description>Target star Tess magnitude (Tmag)</description><unit>mag</unit><ucd>phot.mag;em.opt</ucd><dataType xsi:type="vs:VOTableType">float</dataType></column><column><name>contratio</name><description>? Target star contamination ratio (contratio)</description><ucd>phot.flux;arith.ratio</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>Dist</name><description>? Target star distance (d)</description><unit>pc</unit><ucd>pos.distance</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>GLAT</name><description>Target star galactic latitude (gallat)</description><unit>deg</unit><ucd>pos.galactic.lat</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>GLON</name><description>Target star galactic longitude (gallong)</description><unit>deg</unit><ucd>pos.galactic.lon</ucd></column><column><name>logg</name><description>? Target star log surface gravity (logg)</description><unit>log(cm.s**-2)</unit><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>Mass</name><description>? Target star mass in solar masses (mass)</description><unit>solMass</unit><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>objType</name><description>[STAR] Target star object type (objType)</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType" arraysize="4*">char</dataType></column><column><name>pmDE</name><description>? Target star proper motion in declination (pmDEC)</description><unit>mas/yr</unit><ucd>pos.pm;pos.eq.dec</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>pmRA*</name><description>? Target star proper motion in RA, pmRA*cosDE (pmRA)</description><unit>mas/yr</unit><ucd>pos.pm;pos.eq.ra</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>RAJ2000</name><description>Target star right ascension (J2000) (ra)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd></column><column><name>DEJ2000</name><description>Target star declination (J2000) (dec)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd></column><column><name>rad</name><description>? Target star radii in solar radius (rad)</description><unit>solRad</unit><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column><column><name>rho</name><description>? Target star density scaled to solar density (rho)</description><unit>Sun</unit><ucd>phys.density</ucd><dataType xsi:type="vs:VOTableType">double</dataType><flag>nullable</flag></column></table></schema></tableset></ri:Resource>