J/ApJ/783/121ivo://CDS.VizieR/J/ApJ/783/121doi:10.26093/cds/vizier.17830121CDSGagne J.Lafreniere D.Doyon R.Malo L.Artigau E.2020-07-15T06:40:15Z2015-06-22T14:01:52ZCDS support team

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

cds-question@unistra.frstellar-agesstellar-masseslate-type-starsstellar-spectral-typesstellar-associationsinfrared-photometryradial-velocityWe present Bayesian Analysis for Nearby Young AssociatioNs II (BANYAN II), a modified Bayesian analysis for assessing the membership of later-than-M5 objects to any of several Nearby Young Associations (NYAs). In addition to using kinematic information (from sky position and proper motion), this analysis exploits 2MASS-WISE color-magnitude diagrams in which old and young objects follow distinct sequences. As an improvement over our earlier work (Malo+, 2013, J/ApJ/762/88), the spatial and kinematic distributions for each association are now modeled as ellipsoids whose axes need not be aligned with the Galactic coordinate axes, and we use prior probabilities matching the expected populations of the NYAs considered versus field stars. We present an extensive contamination analysis to characterize the performance of our new method. We find that Bayesian probabilities are generally representative of contamination rates, except when a parallax measurement is considered. In this case contamination rates become significantly smaller and hence Bayesian probabilities for NYA memberships are pessimistic. We apply this new algorithm to a sample of 158 objects from the literature that are either known to display spectroscopic signs of youth or have unusually red near-infrared colors for their spectral type. Based on our analysis, we identify 25 objects as new highly probable candidates to NYAs, including a new M7.5 bona fide member to Tucana-Horologium, making it the latest-type member. In addition, we reveal that a known L2{gamma} dwarf is co-moving with a bright M5 dwarf, and we show for the first time that two of the currently known ultra red L dwarfs are strong candidates to the AB Doradus moving group. Several objects identified here as highly probable members to NYAs could be free-floating planetary-mass objects if their membership is confirmed.2014ApJ...783..121Ghttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/783/121CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toII/311 : WISE All-Sky Data Release (Cutri+ 2012)II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)J/ApJ/798/73 : BANYAN All-Sky Survey (BASS) catalog. V. (Gagne+, 2015)J/ApJ/788/81 : BANYAN III. RV and rotation of low-mass stars (Malo+, 2014)J/AJ/147/85 : Solar neighborhood. XXXIII. 45 M dwarfs (Riedel+, 2014)J/ApJS/208/9 : Intrinsic colors & temperatures of PMS stars (Pecaut+, 2013)J/A+A/556/A15 : Effective temperature scale of M dwarfs (Rajpurohit+, 2013)J/PASP/125/809 : New nearby M, L, and T dwarfs (Thompson+, 2013)J/ApJS/205/6 : T dwarf population revealed by WISE (Mace+, 2013)J/ApJ/762/88 : Young stellar kinematic group cand. members (Malo+, 2013)J/ApJ/758/56 : Young M dwarfs within 25pc. II. Kinematics (Shkolnik+, 2012)J/ApJ/752/56 : BDKP. III. Parallaxes of ultracool dwarfs (Faherty+, 2012)J/AJ/143/80 : R Low-mass stars of beta Pic & AB Dor (Schlieder+, 2012)J/MNRAS/418/1231 : New brown dwarfs in upper Sco (Dawson+, 2011)J/ApJS/197/19 : First brown dwarfs discovered by WISE (Kirkpatrick+, 2011)J/A+A/527/A24 : Spectra of low-mass stars in Upper Sco (Lodieu+, 2011)J/ApJ/723/684 : NIRSPEC ultracool dwarf RVel survey (Blake+, 2010)J/ApJS/190/100 : NIR proper motion survey using 2MASS (Kirkpatrick+, 2010)J/AJ/140/119 : {beta}Pic & AB Dor moving groups members (Schlieder+, 2010)J/AJ/139/1808 : Colors and kinematics of SDSS L dwarfs (Schmidt+, 2010)J/A+A/512/A37 : Velocities of 43 nearby L dwarfs (Seifahrt+, 2010)J/ApJ/705/1416 : M7-M9.5 dwarfs <20pc volume-limited sample (Reiners+, 2009)J/ApJ/699/649 : Young M dwarfs within 25pc. I. (Shkolnik+, 2009)J/MNRAS/394/857 : UKIDSS-2MASS proper motion survey (Deacon+, 2009)J/AJ/137/1 : PMs and astrometry of late-type dwarfs (Faherty+, 2009)J/MNRAS/390/1517 : Proper motions of field L and T dwarfs (Casewell+, 2008)J/ApJ/687/1264 : Age estimation for solar-type dwarfs (Mamajek+, 2008)J/AJ/136/1290 : Ultracool dwarfs from the 2MASS (Reid+, 2008)J/ApJ/676/1281 : L and T dwarfs in 2MASS/SDSS (Metchev+, 2008)J/MNRAS/384/1399 : Proper motions of field L and T dwarfs (Jameson+, 2008)J/AJ/135/785 : SDSS-DR5 low-mass star spectroscopic sample (West+, 2008)J/A+A/468/163 : Sample of low mass stars with mu>0.1"/yr (Deacon+, 2007)J/AJ/133/2258 : Activity and kinematics of ultracool dwarfs (Schmidt+, 2007)J/AJ/133/439 : Luminosity function of M7-L8 ultracool dwarfs (Cruz+, 2007)J/MNRAS/374/372 : ZYJHK photometry in Upper Sco (Lodieu+, 2007)J/AJ/132/891 : Binaries among nearby L dwarfs (Reid+, 2006)J/AJ/131/2722 : New L and T dwarfs from the SDSS (Chiu+, 2006)J/ApJ/637/1067 : NIR spectral classification of T dwarfs (Burgasser+, 2006)J/A+A/440/1061 : Southern red high proper motion objects (Lodieu+, 2005)J/other/ARA+A/42.685 : Young stars near the Sun (Zuckerman+, 2004)J/AJ/127/2856 : Brown dwarfs in the 2MASS Survey (Burgasser+, 2004)J/AJ/126/2421 : 2MASS-Selected sample of ultracool dwarfs (Cruz+, 2003)J/AJ/126/1526 : IR photometry of ultracool dwarfs (Bouy+, 2003)http://www.astro.umontreal.ca/~gagne/banyanII.php : BANYAN II web tool pagehttp://spider.ipac.caltech.edu/staff/davy/ARCHIVE/index.shtml : Dwarf Archiveshttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/783/121https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/783/121http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/783/121https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/783/121https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/783/121http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/783/121GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/783/121/sample (Input sample: star properties (table1) and Bayesian probabilities for membership of the Nearby Young Associations (NYA, table5))https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/783/121/sample?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/783/121/sample?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/783/121/sample?GETtext/xml+votable180.050000true0.926125-28.37805560.0055555555555555566/250 636 696 762 968 2149 2255 2659 2784 2789 2809 2844 3764 4739 5002 5065 5320 5659 5854 6601 6783 6804 7147 7388 7440 7810 8091 8282 8402 8581 9146 9385 9597 10114 10142 10156 10203 10445 10813 11450 11834 12541 13455 13765 13874 13885 16021 16440 16546 16577 16749 16867 17171 17244 17313 17729 17761 18032 18155 18405 18683 18866 19648 19763 19813 19895 20141 20163 20374 20425 20591 20594 20996 21093 21296 21435 22555 22603 22739 22937 22950 23471 24632 24716 24799 25904 26196 26287 26594 27402 27537 29744 30505 30833 31097 31657 31863 31871 32158 32284 32462 32500 32602 32975 33166 33228 33334 33351 33374 33667 33702 34219 34400 34428 34434 34535 34645 34818 34824 34866 34886 34961 35202 35387 35593 35630 35814 35951 36072 36237 36528 36821 37565 38966 39147 39440 41052 42918 43575 43966 44310 44314 44603 45108 45238 46094 46376 46671 47979 48349 48409 48455 48643 48723 49016 491393.830199579824256e-20 1.7003137259100215e-19https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/783/121?format=asciiInfrareddefaultJ/ApJ/783/121/sampleInput sample: star properties (table1) and Bayesian probabilities for membership of the Nearby Young Associations (NYA, table5)RefOther references (see refs.dat file)meta.refcharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintCl[YpR] Class of object (1)meta.code.classcharPmeta.ref.urlchar2MASS2MASS identifier (JHHMMSSss+DDMMSSs)meta.id;meta.maincharONameCommon alternative namemeta.idcharOSpTOptical MK spectral typesrc.spTypeu_OSpT[e] Uncertain classification (2)meta.code.errorcharISpTNIR MK spectral typesrc.spTypecharu_ISpT[ef] Uncertain classification (2)meta.code.errorcharJmag[6.6/17.2] 2MASS J-band magnitudemagphot.mag;em.IR.JfloatHmag[5.9/16.4]? 2MASS H-band magnitudemagphot.mag;em.IR.HfloatnullableKsmag[5.7/15.7]? 2MASS Ks-band magnitudemagphot.mag;em.IR.KfloatnullableW1mag[5.6/18]? WISE W1 (3.35um) magnitudemagphot.mag;em.IR.3-4umfloatnullableW2mag[5.4/17.1]? WISE W2 (4.6um) magnitudemagphot.mag;em.IR.4-8umfloatnullablepmRA[-1088/3431] Proper motion along RA (3)mas/yrpos.pm;pos.eq.rafloate_pmRA[0.4/43] pmRA uncertaintymas/yrstat.error;pos.pm;pos.eq.rafloatpmDE[-3814/581] Proper motion along DE (3)mas/yrpos.pm;pos.eq.decfloate_pmDE[0.3/40] pmDE uncertaintymas/yrstat.error;pos.pm;pos.eq.decfloatr_pmProper motion reference(s) (see refs.dat file)meta.ref;pos.framecharRV[-53/129]? Radial velocitykm/sphys.veloc;pos.heliocentricfloatnullablee_RV[0.1/15]? RV uncertaintykm/sstat.errorfloatnullabler_RVRV reference(s) (see refs.dat file)meta.ref;pos.framecharDist[3.9/79]? Distancepcpos.distance;pos.heliocentricfloatnullablee_Dist[0/17]? Dist uncertaintypcstat.errorfloatnullabler_DistDist reference(s) (see refs.dat file)meta.ref;pos.framecharYouthSigns of youth (4)meta.codecharNYAReported association(s) (5)meta.id.parentcharr_NYANYA reference (see refs.dat file)meta.ref;pos.framechar2MAbbreviated 2MASS identifier as in tables 4 and 5; column added by CDSmeta.idcharprimaryG15Sources within 1" from Paper V (Gagne+, 2015, J/ApJ/798/73)meta.ref.urlintnullableSimbadSimbad column added by the CDSmeta.ref.urlcharTWA-P[0/100]? TW Hydrae probability P (6)%stat.fit.goodnessfloatnullablef_TWA-P[h b] h=highest probability, b=binary (7)meta.codecharTWA-P1[0/100]? TW Hydrae probability P_v_ (8)%stat.fit.goodnessfloatnullablef_TWA-P1[h b] h=highest probability, b=binary (7)meta.codecharTWA-P2[0/100]? TW Hydrae probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_TWA-P2[h b] h=highest probability, b=binary (7)meta.codecharTWA-P3[0/100]? TW Hydrae probability P_v+{pi}_ (10)%stat.fit.goodnessfloatnullablef_TWA-P3[h b] h=highest probability, b=binary (7)meta.codecharBPMG-P[0/100]? {beta} Pictoris probability P (6)%stat.fit.goodnessfloatnullablef_BPMG-P[h b] h=highest probability, b=binary (7)meta.codecharBPMG-P1[0/100]? {beta} Pictoris probability P_v_ (8)%stat.fit.goodnessfloatnullablef_BPMG-P1[h b] h=highest probability, b=binary (7)meta.codecharBPMG-P2[0/100]? {beta} Pictoris probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_BPMG-P2[h b] h=highest probability, b=binary (7)meta.codecharBPMG-P3[0/100]? {beta} Pictoris probability P_v+{pi}_(10)%stat.fit.goodnessfloatnullableTHA-P[0/100]? Tucana-Horologium probability P (6)%stat.fit.goodnessfloatnullablef_THA-P[h b] h=highest probability, b=binary (7)meta.codecharTHA-P1[0/100]? Tucana-Horologium probability P_v_ (8)%stat.fit.goodnessfloatnullablef_THA-P1[h b] h=highest probability, b=binary (7)meta.codecharTHA-P2[0/100]? Tucana-Horologium probability P_{pi}_ (9)%stat.fit.goodnessfloatnullableTHA-P3[0/100]? Tucana-Horologium probability P_v+{pi}_ (10)%stat.fit.goodnessfloatnullablef_THA-P3[h b] h=highest probability, b=binary (7)meta.codecharCOL-P[0/100]? Columba probability P (6)%stat.fit.goodnessfloatnullablef_COL-P[h b] h=highest probability, b=binarymeta.codecharCOL-P1[0/100]? Columba probability P_v_ (8)%stat.fit.goodnessfloatnullablef_COL-P1[h b] h=highest probability, b=binarymeta.codecharCOL-P2[0/100]? Columba probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_COL-P2[h b] h=highest probability, b=binary (7)meta.codecharCOL-P3[0/100]? Columba probability P_v+{pi}_ (10)%stat.fit.goodnessfloatnullableCAR-P[0/100]? Carina probability P (6)%stat.fit.goodnessfloatnullablef_CAR-P[h b] h=highest probability, b=binary (7)meta.codecharCAR-P1[0/100]? Carina probability P_v_ (8)%stat.fit.goodnessfloatnullablef_CAR-P1[h b] h=highest probability, b=binary (7)meta.codecharCAR-P2[0/100]? Carina probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_CAR-P2[h b] h=highest probability, b=binary (7)meta.codecharCAR-P3[0]? Carina probability P_v+{pi}_%stat.fit.goodnessfloatnullableARG-P[0/100]? Argus probability P (6)%stat.fit.goodnessfloatnullablef_ARG-P[h b] h=highest probability, b=binary (7)meta.codecharARG-P1[0/100]? Argus probability P_v_ (8)%stat.fit.goodnessfloatnullablef_ARG-P1[h b] h=highest probability, b=binary (7)meta.codecharARG-P2[0/100]? Argus probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_ARG-P2[h b] h=highest probability, b=binary (7)meta.codecharARG-P3[0/100]? Argus probability P_v+{pi}_ (10)%stat.fit.goodnessfloatnullableADB-P[0/100]? AB Doradus probability P (6)%stat.fit.goodnessfloatnullablef_ADB-P[h b] h=highest probability, b=binary (7)meta.codecharADB-P1[0/100]? AB Doradus probability P_v_ (8)%stat.fit.goodnessfloatnullablef_ADB-P1[h b] h=highest probability, b=binary (7)meta.codecharADB-P2[0/100]? AB Doradus probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_ADB-P2[h b] h=highest probability, b=binary (7)meta.codecharADB-P3[0/100]? AB Doradus probability P_v+{pi}_ (10)%stat.fit.goodnessfloatnullablef_ADB-P3[h b] h=highest probability, b=binary (7)meta.codecharYF-P[0/100]? Young field probability P (6)%stat.fit.goodnessfloatnullablef_YF-P[h b] h=highest probability, b=binary (7)meta.codecharYF-P1[0/100]? Young field probability P_v_ (8)%stat.fit.goodnessfloatnullablef_YF-P1[h b] h=highest probability, b=binary (7)meta.codecharYF-P2[0/100]? Young field probability P_{pi}_ (9)%stat.fit.goodnessfloatnullablef_YF-P2[h b] h=highest probability, b=binary (7)meta.codecharYF-P3[0/100]? Young field probability P_v+{pi}_ (10)%stat.fit.goodnessfloatnullablef_YF-P3[h b] h=highest probability, b=binary (7)meta.codechar_RAPositions from 2MASS name (right ascension part)degpos.eq.ra;meta.main_DEPositions from 2MASS name (declination part)degpos.eq.dec;meta.mainJ/ApJ/783/121/table2Properties of young local associationsSimbadNameSimbad column added by the CDSmeta.idcharGroupName of groupmeta.id;meta.maincharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintNYAAbbreviated Nearby Young Association namemeta.idcharAge.min[0/1000] Lower range of Age (1)Myrtime.age;stat.minintAge.max[12/8000] Upper range of Age (1)Myrtime.age;stat.maxintD.min[11/70] Lower range of Distancepcpos.distance;instr.bandwidth;stat.minintD.max[40/177] Upper range of Distancepcpos.distance;instr.bandwidth;stat.maxintRV.min[-34/19] Lower range of radial velocitykm/sphys.veloc;pos.heliocentricintRV.max[9/32] Upper range of radial velocitykm/sphys.veloc;pos.heliocentricintNm[8/54]? Number of bona fide members (see section 4.3)meta.numberintnullableN1Number of candidates studied here (in sample) in this Nearby Young Association (table4)meta.numberintnullableNcNumber of candidates with mass estimates for this Nearby Young Association (table4)meta.numberintnullableJ/ApJ/783/121/table4Age and mass estimates of candidatesl_PHkLimit flag on PHkmeta.code.errorcharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintPMmMembership indicator (1)meta.code.memberchar2MAbbreviated 2MASS identifier (JHHMM+DDMM)meta.id;meta.maincharSpTOptical MK spectral type unless flaggedsrc.spTypecharf_SpT[af] Flag on SpT (2)meta.codecharl_CHkLimit flag on CHkmeta.code.errorcharCHk[0.1/88]? Field contamination rate%stat.fit.goodnessfloatnullablef_CHkFlag on CHkmeta.codecharPHkBayesian probability%statfloatf_PHkFlag on PHkmeta.codecharNYAAbbreviated name of the groupmeta.id.parentcharf_NYAFlag on NYAmeta.codecharNYA2Reported candidate from litteraturemeta.notecharr_NYA2NYA2 referencemeta.ref;pos.framecharM.min[4/81] Lower range of Mass(1.898187x10+27kg)phys.massintM.max[5/94] Upper range of Mass(1.898187x10+27kg)phys.massintRV[-20.4/31] Statistical radial velocitykm/sphys.veloc;pos.heliocentricfloate_RV[1.1/15] RV uncertaintykm/sstat.errorfloatDist[4.9/82] Statistical distancepcpos.distance;pos.heliocentricfloate_Dist[0.4/10] Dist uncertaintypcstat.errorfloatJ/ApJ/783/121/refsReferencesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintRefReference codemeta.noteintBibCodeBibcodemeta.bib.bibcodecharAutAuthor's name(s)meta.bib.authorcharCommCommentmeta.notechar