LAMOST variable sources based on ZTF phot. J/ApJS/259/11 ivo://CDS.VizieR/J/ApJS/259/11 doi:10.26093/cds/vizier.22590011 CDS Xu T. Liu C. Wang F. Huang W. Deng H. Mei Y. Cao Z. 2022-10-14T13:59:17Z 2022-09-09T13:47:45Z CDS support team CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France cds-question@unistra.fr variable-stars photometry visible-astronomy astronomical-models surveys The identification and analysis of different variable sources is a hot topic in astrophysical research. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic survey has accumulated a mass of spectral data but contains no information about variable sources. Although a few related studies present variable source catalogs for the LAMOST, the studies still have a few deficiencies regarding the type and number of variable sources identified. In this study, we present a statistical modeling approach to identify variable source candidates. We first cross-match the Kepler, Sloan Digital Sky Survey, and Zwicky Transient Facility catalogs to obtain light-curve data of variable and nonvariable sources. The data are then modeled statistically using commonly used variability parameters. Then, an optimal variable source identification model is determined using the Receiver Operating Characteristic curve and four credible evaluation indices such as precision, accuracy, recall, and F1-score. Based on this identification model, a catalog of LAMOST variable sources (including 631,769 variable source candidates with a probability greater than 95%, and so on) is obtained. To validate the correctness of the catalog, we perform a two-by-two cross-comparison with the Gaia catalog and other published variable source catalogs. We achieve the correct rate ranging from 50% to 100%. Among the 123,756 sources cross-matched, our variable source catalog identifies 85,669 with a correct rate of 69%, which indicates that the variable source catalog presented in this study is credible. 2022ApJS..259...11X https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/259/11 Catalog Research IsServedBy TAP VizieR generic service IsServedBy Conesearch service related-to II/351 : VISTA Magellanic Survey (VMC) catalog (Cioni+, 2011) V/156 : LAMOST DR7 catalogs (Luo+, 2019) J/A+A/405/231 : Algol-type EBs differential photometry (Kim+, 2003) J/AJ/134/973 : SDSS Stripe 82 star catalogs (Ivezic+, 2007) J/A+A/557/L10 : Rotation periods of 12000 Kepler stars (Nielsen+, 2013) J/A+A/560/A4 : Rotation periods of active Kepler stars (Reinhold+, 2013) J/ApJS/213/9 : Catalina Surveys periodic variable stars (Drake+, 2014) J/AJ/151/101 : Kepler Mission. VIII. False positives (Abdul-Masih+, 2016) J/MNRAS/460/1970 : Kepler {delta} Sct stars amp. modulation (Bowman+, 2016) J/AJ/151/68 : Kepler Mission. VII. Eclipsing binaries in DR3 (Kirk+, 2016) J/MNRAS/469/3688 : CSS Periodic Variable Star Catalogue (Drake+, 2017) J/ApJS/237/28 : WISE catalog of periodic variable stars (Chen+, 2018) J/A+A/616/A10 : Ppen clusters GaiaDR2 HR diagrams (Gaia Collaboration, 2018) J/A+A/622/A60 : Gaia DR2 misclassified RR Lyrae list (Clementini+, 2019) J/ApJS/249/18 : The ZTF catalog of periodic variable stars (Chen+, 2020) J/ApJS/249/22 : Radial velocity variable stars from LAMOST DR4 (Tian+, 2020) J/A+A/645/A34 : LAMOST DR4 New mercury-manganese stars (Paunzen+, 2021) http://www.ztf.caltech.edu/ : Zwicky Transient Facility home page https://cds.unistra.fr/vizier-org/licences_vizier.html https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/259/11 https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/259/11 http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/ApJS/259/11 https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/ApJS/259/11 https://vizier.iucaa.in/viz-bin/votable?-source=J/ApJS/259/11 http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/ApJS/259/11 GET text/xml+votable https://tapvizier.cds.unistra.fr/TAPVizieR/tap Cone search capability for table J/ApJS/259/11/table4 (LAMOST variable source candidates catalog) https://vizier.cds.unistra.fr/viz-bin/conesearch/J/ApJS/259/11/table4? https://vizier.iucaa.in/viz-bin/conesearch/J/ApJS/259/11/table4? http://vizieridia.saao.ac.za/viz-bin/conesearch/J/ApJS/259/11/table4? 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27558 27568 27573 27577-27579 27581-27583 27592-27594 27596-27597 27599 27621 27623 27672-27674 27696 27698-27700 27702 27716 27718-27719 27773-27775 27796 27798-27799 27832-27834 27840-27841 27843 27881 27883 27925-27927 28052-28054 28072-28073 28075 28096-28098 28105 28107 28172 28174-28175 28212-28213 28215 28229-28230 28244-28246 28360-28362 28364-28365 28367 28372 28374 28380 28382-28383 28416-28417 28425-28427 28448-28450 28456 28459 28461-28463 28545 28547 28553-28555 29653-29655 29662 29679 29682 29687 29689 29693 29927 29933 29935 29940 29942-29943 30122 30170-30171 30201 30203 30288-30289 30291 30293 30295 30301 30303 30315 30318-30319 30337-30338 30341-30343 30357 30359-30360 30365 30367-30370 30372 30375 30430-30431 30470-30471 30496-30497 30499 30508 30549 30573 30575 30578-30579 30581-30583 30626 30632 30661 30681 30684-30685 30970-30971 31029-31030 31051 31064-31065 31067 31073 31076 31079 31083 31127 31154-31157 31159 31196-31198 31253-31255 31260-31262 31283-31285 31287 31289 31291 31296 31298-31299 31301-31303 31318-31319 31348-31349 31366-31367 31369-31371 31373-31376 31379 31384 31386-31387 31396-31397 31399-31401 31403 31418-31419 31452-31453 31455 31520-31522 31557-31559 31584 31586-31587 31610-31611 31640-31642 31645 31647 31724-31726 31821-31823 31826 31832 31834 32032 32034-32035 32044 32046 32055 32064 32066 32075 32098 32108 32110-32111 32119 32132 32134-32135 32145 32156-32157 32178 32182-32183 32192-32193 32195-32196 32198 32200-32201 32204 32219 32241 32243 32250-32251 32388-32390 32392-32394 32396 32416 32418-32419 32423 32446 32489-32491 32540-32542 32564 32566-32567 32581 32583-32584 32587 32628-32629 32631-32634 32686 32696-32697 32699 32711 44989-44991 45018-45019 45022-45023 45040-45041 45048-45050 49022-49023 49095 49105-49106 49117 49119 https://cdsarc.cds.unistra.fr/viz-bin/moc/J/ApJS/259/11?format=ascii Optical default J/ApJS/259/11/table4 LAMOST variable source candidates catalog Skew(g) [-22.42/21.5]? Skewness in g band (7) stat double nullable n_Q2(g) [i] i=inf meta.note char P(MAD-r) [0.008/0.97]? Variability probability of Median absolute deviation in r band stat.fit.goodness;src.var double nullable Amp(g) [0.017/3.6]? Amplitude in g band (9) src.var.amplitude double nullable Amp(r) [0.014/3.1]? Amplitude in r band (9) src.var.amplitude double nullable recno Record number assigned by the VizieR team. Should Not be used for identification. meta.record int RAJ2000 Right Ascension (J2000) deg pos.eq.ra;meta.main indexed DEJ2000 [-6.8/80.3] Declination (J2000) deg pos.eq.dec;meta.main indexed gID ? ZTF g band identifier (oid) meta.id nullable rID ? ZTF r band identifier (oid) meta.id nullable Q(g) [1.89/335.2]? Q value in g band (1) stat double nullable Q(r) [3.25/317.6]? Q value in r band (1) stat double nullable P(Q-g) [0.17/0.99]? Variability probability of Q in g band stat.fit.goodness;src.var double nullable P(Q-r) [0.2/0.99]? Variability probability of Q in r band stat.fit.goodness;src.var double nullable Q1(g) [1.9/330.43]? Q1 value in g band (2) stat double nullable Q1(r) [2.86/298.2]? Q1 value in r band (2) stat double nullable P(Q1-g) [0.024/1]? Variability probability of Q1 in g band stat.fit.goodness;src.var double nullable P(Q1-r) [0.19/1]? Variability probability of Q1 in r band stat.fit.goodness;src.var double nullable Q2(g) [4.5/316.2]? Q2 value in g band (3) stat double nullable Q2(r) [4.6/296.7]? Q2 value in r band (3) stat double nullable P(Q2-g) [0.95/1]? Variability probability of Q2 in g band stat.fit.goodness;src.var double nullable P(Q2-r) [0.95/1]? Variability probability of Q2 in r band stat.fit.goodness;src.var double nullable Std(g) [0.0096/2.73]? Standard Deviation in g-band (4) stat.stdev double nullable Std(r) [0.0079/1.95]? Standard Deviation in r-band (4) stat.stdev double nullable P(Std-g) [0.016/0.98]? Variability probability of standard Deviation in g band stat.fit.goodness;src.var double nullable P(Std-r) [0.016/0.98]? Variability probability of standard Deviation in r band stat.fit.goodness;src.var double nullable iStd(g) [0.004/3.02]? Iterative standard deviation in g band (5) stat.stdev double nullable iStd(r) [0.004/2.18]? Iterative standard deviation in r band (5) stat.stdev double nullable P(iStd-g) [0.008/1]? Variability probability of iterative standard deviation in g band stat.fit.goodness;src.var double nullable P(iStd-r) [0.008/1]? Variability probability of iterative standard deviation in r band stat.fit.goodness;src.var double nullable Var(g) [0.0006/0.16]? Coefficient of variation (Cv) in g band (6) stat double nullable Var(r) [0.00058/0.14]? Coefficient of variation (Cv) in r band (6) stat double nullable P(Var-g) [0.04/0.91]? Variability probability of coefficient of variation in g band stat.fit.goodness;src.var double nullable P(Var-r) [0.04/0.93]? Variability probability of coefficient of variation in r band stat.fit.goodness;src.var double nullable sKu(g) [-1.94/514.1]? Small kurtosis in g band (7) stat double nullable sKu(r) [-1.97/671.5]? Small kurtosis in r band (7) stat double nullable P(sKu-g) [0.27/0.9]? Variability probability of small kurtosis in g band stat.fit.goodness;src.var double nullable P(sKu-r) [0.27/0.9]? Variability probability of small kurtosis in r band stat.fit.goodness;src.var double nullable Skew(r) [-25.4/25]? Skewness in r band (7) stat double nullable P(Skew-g) [0.16/0.86]? Variability probability of skewness in g band stat.fit.goodness;src.var double nullable P(Skew-r) [0.16/0.86]? Variability probability of skewness in r band stat.fit.goodness;src.var double nullable MAD(g) [0.004/2.8]? Median absolute deviation in g band (8) stat.stdev;stat.median;em.opt.B float nullable MAD(r) [0.003/1.6]? Median absolute deviation in r band (8) stat.stdev;stat.median;em.opt.R float nullable P(MAD-g) [0.008/0.97]? Variability probability of Median absolute deviation in g band stat.fit.goodness;src.var double nullable P(gAmp) [0/1]? Variability probability of amplitude in g band stat.fit.goodness;src.var double nullable P(rAmp) [0/1]? Variability probability of amplitude in r band stat.fit.goodness;src.var double nullable C20 Display data from Chen+, 2020, J/ApJS/249/18 within 0.5" meta.ref.url int nullable LAMOST Display the LAMOST -DR7 LRS data (V/156) within 3" meta.ref.url char