J/PASP/133/L4501ivo://CDS.VizieR/J/PASP/133/L4501doi:10.26093/cds/vizier.61343501CDSYang Y.Jiang B.2025-09-09T14:15:12Z2022-07-07T13:54:24ZCDS support team

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

cds-question@unistra.frh-ii-regionsspectroscopyIn this paper, we pioneer a new machine-learning method to search for HII regions in spectra from The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). HII regions are emission nebulae created when young and massive stars ionize nearby gas clouds with high-energy ultraviolet radiation. Having more HII region samples will help us understand the formation and evolution of stars. Machine-learning methods are often applied to search for special celestial bodies such as H II regions. LAMOST has conducted spectral surveys and provided a wealth of valuable spectra for the research of special and rare celestial bodies. To overcome the problem of sparse positive samples and diversification of negative samples, a novel method called the self-calibrated convolution network is introduced and implemented for spectral processing. A deep network classifier with a structure called a self-calibrated block provides a high precision rate, and the recall rate is improved by adding the strategy of positive-unlabeled bagging. Experimental results show that this method can achieve better performance than other current methods. Eighty-nine spectra are identified as Galactic HII regions after cross-matching with the WISE Catalog of Galactic HII Regions, confirming the effectiveness of the method proposed in this paper.2021PASP..133l4501Yhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/PASP/133/L4501CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toJ/ApJS/212/1 : The WISE catalog of Galactic HII regions (Anderson+, 2014)https://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/PASP/133/L4501https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/PASP/133/L4501http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/PASP/133/L4501https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/PASP/133/L4501https://vizier.iucaa.in/viz-bin/votable?-source=J/PASP/133/L4501http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/PASP/133/L4501GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/PASP/133/L4501/table3 (Matched Galactic HII region candidates of the experiment)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/PASP/133/L4501/table3?https://vizier.iucaa.in/viz-bin/conesearch/J/PASP/133/L4501/table3?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/PASP/133/L4501/table3?GETtext/xml+votable180.050000true44.33560.74620.0055555555555555566/1287 1289 1293 1297-1299 1329-1330 1334 1354 1565 1789 3011 3156 3282 3289 3301 3312 3718 14029 14263 14455 14633 14646 14689-14692 14705 14712 14716 15363 15368 15370 21439 22208 22240 22243 22249 22265 22805 22855 22861 23637 23664 23674 23764 23766 23774 23969 23980 23982 23996 23998 24325 24378 24426-24427 24554-24555https://cdsarc.cds.unistra.fr/viz-bin/moc/J/PASP/133/L4501?format=asciidefaultJ/PASP/133/L4501/table3Matched Galactic HII region candidates of the experimentSimbadSimbad column added by the CDSmeta.ref.urlcharrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintID[1/89] ID number for our resultsmeta.id;meta.mainintOBSIDUnique LAMOST ID of this spectrummeta.idlongRAJ2000Right ascension (J2000)degpos.eq.ra;meta.mainDEJ2000Declination (J2000)degpos.eq.dec;meta.mainWISEWISE name (1)meta.idcharGLONGalactic longitudedegpos.galactic.lonGLATGalactic latitudedegpos.galactic.latfloatRadRadius of cross-matching within this search rangearcminphys.angSizeintClassClassification (2)meta.code.classcharlog(Ha/[NII])Abundance H{alpha}/[NII]phys.abundfloatlog(Ha/[SII])Abundance H{alpha}/[SII]phys.abundfloat