J/ApJ/903/145ivo://CDS.VizieR/J/ApJ/903/145doi:10.26093/cds/vizier.19030145CDSLin L.Ellison S.L.Pan H.-A.Thorp M.D.Su Y.-C.Sanchez S.F.,Belfiore F.Bothwell M.S.Bundy K.Chen Y.-M.Concas A.Hsieh B.-C.,Hsieh P.-Y.Li C.Maiolino R.Masters K.Newman J.A.Rowlands K.ShiY.Smethurst R.Stark D.V.Xiao T.Yu P.-C.2022-03-14T06:29:29Z2022-03-03T07:30:32ZCDS support team

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

cds-question@unistra.frstar-forming-regionsinterstellar-mediumstellar-massessurveysinfrared-astronomyspectroscopyvisible-astronomyradio-spectroscopyThe ALMaQUEST (ALMA-MaNGA QUEnching and STar formation) survey is a program with spatially resolved 12CO(1-0) measurements obtained with the Atacama Large Millimeter Array (ALMA) for 46 galaxies selected from the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) DR15 optical integral-field spectroscopic survey. The aim of the ALMaQUEST survey is to investigate the dependence of star formation activity on the cold molecular gas content at kiloparsec scales in nearby galaxies. The sample consists of galaxies spanning a wide range in specific star formation rate (sSFR), including starburst (SB), main-sequence (MS), and green valley (GV) galaxies. In this paper, we present the sample selection and characteristics of the ALMA observations and showcase some of the key results enabled by the combination of spatially matched stellar populations and gas measurements. Considering the global (aperture-matched) stellar mass, molecular gas mass, and star formation rate of the sample, we find that the sSFR depends on both the star formation efficiency (SFE) and the molecular gas fraction (f_H_2__), although the correlation with the latter is slightly weaker. Furthermore, the dependence of sSFR on the molecular gas content (SFE or f_H_2__) is stronger than that on either the atomic gas fraction or the molecular-to-atomic gas fraction, albeit with the small Hi sample size. On kiloparsec scales, the variations in both SFE and f_H_2__ within individual galaxies can be as large as 1-2dex, thereby demonstrating that the availability of spatially resolved observations is essential to understand the details of both star formation and quenching processes.2020ApJ...903..145Lhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/903/145CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/AJ/136/2782 : Star formation efficiency in nearby galaxies (Leroy+, 2008)J/MNRAS/415/32 : COLD GASS survey (Saintonge+, 2011)J/MNRAS/432/2112 : Estimating gas masses from HI and CO data (Brinchmann+ 2013)J/ApJ/768/74 : PHIBSS: CO observations star-forming galaxies (Tacconi+, 2013)J/ApJ/846/159 : Interferometric CO obs. of 126 CALIFA galaxies (Bolatto+, 2017)J/A+A/604/A53 : ALLSMOG final data release. New APEX CO survey (Cicone+, 2017)J/ApJS/233/22 : xCOLD GASS catalog (Saintonge+, 2017)J/AJ/154/86 : MaNGA catalog, DR15 (Wake+, 2017)J/MNRAS/476/875 : xGASS catalog (Catinella+, 2018)J/ApJ/861/49 : ALFALFA extragalactic HI source catalog (Haynes+, 2018)J/ApJ/872/16 : Integrated star formation law revisited I (de los Reyes+, 2019)J/ApJ/892/148 : Molecular ISM in nearby star-forming galaxies (Sun+, 2020)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/903/145https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJ/903/145http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJ/903/145https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJ/903/145https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJ/903/145http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJ/903/145GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/ApJ/903/145/table1 (ALMaQUEST targets and CO(1-0) sensitivities)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJ/903/145/table1?https://vizier.iucaa.in/viz-bin/conesearch/J/ApJ/903/145/table1?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJ/903/145/table1?GETtext/xml+votable180.050000true318.990448069.543076110.0055555555555555566/4704 4706 10270 10336 10378 12390-12391 17746-17747 17750 17755 18769 18771-18772 19096-19097 19109 19121-19122 19382 19385 23047 23103 23144 23181-23183 23185 23194 23198 23201 23203 23205 23218 28271 30041 30043https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJ/903/145?format=asciiOpticalInfraredMillimeterdefaultJ/ApJ/903/145/table1ALMaQUEST targets and CO(1-0) sensitivitiesrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintIDIdentifiermeta.id;meta.maincharprimaryRAJ2000[40/359] Right Ascension (J2000)degpos.eq.ra;meta.mainDEJ2000[-8/28] Declination (J2000)degpos.eq.dec;meta.mainzspec[0.01/0.14] MaNGA spectroscopic redshiftsrc.redshiftdoublesigmaCO[0.0194/0.2599] Sensitivity of integrated ALMA CO maps (1)Jy.km.s**-1.beam**-1instr.sensitivityfloat1.5ReProperties measured with 1.5Re (table2)meta.ref.urlcharMaNGAProperties measured with MaNGAmeta.ref.urlcharSimbadSimbad column added by the CDSmeta.ref.urlcharJ/ApJ/903/145/table2Properties of ALMaQUEST galaxies measured within 1.5ReIDIdentifiermeta.id;meta.maincharArea[11/1443] Areakpc**2phys.angSizefloatrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintMass[10.2/11.7] log, stellar masslog(solMass)phys.massfloatSFR[-3.03/1.22] log, star formation rate (1)log(solMass.yr**-1)meta.idfloatSCO[1.58/34.3] CO(1-0) integrated intensityJy.km/sphot.flux.densityfloate_SCO[0.01/0.3] Uncertainty in SCOJy.km/sstat.errorfloatMH2[8.48/10.5] log, Mass H2 (2)log(solMass)phys.massfloate_MH2[0.001/0.02] Uncertainty in logMH2log(solMass)stat.errorfloatSSFR[-14.3/-9.42] log, specific star formation ratelog(yr**-1)phys.SFRfloatSFE[-12.2/-8.12] log, star formation efficiencylog(yr**-1)phys.SFRfloatfH2[-2.61/-0.85] log, molecular hydrogen gas fractionphys.abund.XfloatJ/ApJ/903/145/table3Properties of ALMaQUEST galaxies measured within the MaNGA bundle coverageIDIdentifiermeta.id;meta.maincharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintMass[10.2/11.8] log, stellar masslog(solMass)phys.massfloatSFR[-3.03/1.29] log, star formation rate (1)log(solMass.yr**-1)meta.idfloatSCO[1.43/42.1] CO(1-0) integrated intensityJy.km/sphot.flux.densityfloate_SCO[0.01/0.3] Uncertainty in SCOJy.km/sstat.errorfloatMH2[8.41/10.5] log, Mass H2 (2)log(solMass)phys.massfloate_MH2[0.001/0.02] Uncertainty in logMH2log(solMass)stat.errorfloatSSFR[-14.3/-9.47] log, specific star formation ratelog(yr**-1)phys.SFRfloatSFE[-12.2/-8.11] log, star formation efficiencylog(yr**-1)phys.SFRfloatfH2[-2.56/-0.9] log, molecular H2 gas fractionphys.abund.Xfloat