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<ri:Resource created="2020-11-11T15:36:05Z" status="active" updated="2025-06-13T15:25:00Z" 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>Active deep learning in large spectros. surveys</title><shortName>J/A+A/643/A122</shortName><identifier>ivo://CDS.VizieR/J/A+A/643/A122</identifier><altIdentifier>doi:10.26093/cds/vizier.36430122</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Skoda P.</name></creator><creator><name>Podsztavek O.</name></creator><creator><name>Tvrdik P.</name></creator><date role="Updated">2022-09-07T09:04:39Z</date><date role="Created">2020-11-11T15:36:05Z</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>surveys</subject><subject>emission-line-stars</subject><subject>spectroscopy</subject><description>Current archives of the LAMOST telescope contain millions of pipeline-processed spectra that have probably never been seen by human eyes. Most of the rare objects with interesting physical properties, however, can only be identified by visual analysis of their characteristic spectral features. A proper combination of interactive visualisation with modern machine learning techniques opens new ways to discover such objects. We apply active learning classification methods supported by deep convolutional neural networks to automatically identify complex emission-line shapes in multi-million spectra archives. We used the pool-based uncertainty sampling active learning method driven by a custom-designed deep convolutional neural network with 12 layers. The architecture of the network was inspired by VGGNet, AlexNet, and ZFNet, but it was adapted for operating on one-dimensional feature vectors. The unlabelled pool set is represented by 4.1 million spectra from the LAMOST data release 2 survey. The initial training of the network was performed on a labelled set of about 13000 spectra obtained in the 400{AA} wide region around H{alpha} by the 2m Perek telescope of the Ondrejov observatory, which mostly contains spectra of Be and related early-type stars. The differences between the Ondrejov intermediate-resolution and the LAMOST low-resolution spectrographs were compensated for by Gaussian blurring and wavelength conversion. After several iterations, the network was able to successfully identify emission-line stars with an error smaller than 6.5%. Using the technology of the Virtual Observatory to visualise the results, we discovered 1013 spectra of 948 new candidates of emission-line objects in addition to 664 spectra of 549 objects that are listed in SIMBAD and 2644 spectra of 2291 objects identified in an earlier paper of a Chinese group led by Wen Hou. 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Number of spectra of a single object</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>CDS-plot2</name><description>Link to spectrum's plot in CDS Vizier</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="175*">char</dataType></column></table><table><name>J/A+A/643/A122/cans-sim</name><description>Identified spectra cross-matched with SIMBAD</description><column><name>SName</name><description>SIMBAD name of cross-matched object</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType" arraysize="29*">char</dataType></column><column><name>RASdeg</name><description>SIMBAD Right ascension (J2000)</description><unit>deg</unit><ucd>pos.eq.ra</ucd></column><column><name>DESdeg</name><description>SIMBAD Declination (J2000)</description><unit>deg</unit><ucd>pos.eq.dec</ucd></column><column><name>SMainType</name><description>Object type as given in SIMBAD</description><ucd>src.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="15*">char</dataType></column><column><name>SSPType</name><description>? Spectral type from SIMBAD</description><ucd>src.spType</ucd><dataType xsi:type="vs:VOTableType" arraysize="11*">char</dataType></column><column><name>AngDist</name><description>Angular distance of cross-match (1)</description><unit>arcsec</unit><ucd>pos.angDistance</ucd><dataType xsi:type="vs:VOTableType">double</dataType></column><column><name>GroupID</name><description>? Group of spectra for single object</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>GroupSize</name><description>? Number of spectra of single object</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>CDS-plot3</name><description>Link to spectrum's plot in Vizier</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="175*">char</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>SpecL</name><description>LAMOST Spectrum filename</description><ucd>meta.id;meta.file</ucd><dataType xsi:type="vs:VOTableType" arraysize="45*">char</dataType></column><column><name>LAMOST</name><description>LAMOST Object name</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="26*">char</dataType></column><column><name>RAJ2000</name><description>LAMOST Right ascension (J2000)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd></column><column><name>DEJ2000</name><description>LAMOST Declination (J2000)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd></column><column><name>Subclass</name><description>Spectral subclass from LAMOST pipeline</description><ucd>src.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="10*">char</dataType></column><column><name>rmag</name><description>? r magnitude from LAMOST FITS (G1)</description><unit>mag</unit><ucd>phot.mag;em.opt.R</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>ClassADL</name><description>Predicted class by ADL method (G2)</description><ucd>src.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="11*">char</dataType></column></table><table><name>J/A+A/643/A122/cans-bad</name><description>ADL identified bad spectra</description><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>SpecL</name><description>LAMOST Spectrum filename</description><ucd>meta.id;meta.file</ucd><dataType xsi:type="vs:VOTableType" arraysize="45*">char</dataType></column><column><name>LAMOST</name><description>LAMOST Object name</description><ucd>meta.id;meta.main</ucd><dataType xsi:type="vs:VOTableType" arraysize="26*">char</dataType></column><column><name>RAJ2000</name><description>LAMOST Right ascension (J2000)</description><unit>deg</unit><ucd>pos.eq.ra;meta.main</ucd></column><column><name>DEJ2000</name><description>LAMOST Declination (J2000)</description><unit>deg</unit><ucd>pos.eq.dec;meta.main</ucd></column><column><name>Subclass</name><description>Spectral subclass from LAMOST pipeline</description><ucd>src.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="4*">char</dataType></column><column><name>Simbad</name><description>Simbad column added by the CDS</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="*">char</dataType></column><column><name>rmag</name><description>? r magnitude from LAMOST FITS (G1)</description><unit>mag</unit><ucd>phot.mag;em.opt.R</ucd><dataType xsi:type="vs:VOTableType">float</dataType><flag>nullable</flag></column><column><name>ClassADL</name><description>Predicted class by our ADL method (G2)</description><ucd>src.class</ucd><dataType xsi:type="vs:VOTableType" arraysize="11*">char</dataType></column><column><name>GroupID</name><description>? Group of spectra for a single object</description><ucd>meta.id</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>GroupSize</name><description>? Number of spectra of a single object</description><ucd>meta.number</ucd><dataType xsi:type="vs:VOTableType">int</dataType><flag>nullable</flag></column><column><name>CDS-plot</name><description>Link to spectrum's plot in CDS Vizier</description><ucd>meta.ref.url</ucd><dataType xsi:type="vs:VOTableType" arraysize="175*">char</dataType></column></table></schema></tableset></ri:Resource>