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<ri:Resource created="2023-09-13T15:47:19Z" status="active" updated="2025-05-19T09:50:00Z" 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>S-type stars from LAMOST MRS DR10 spectra</title><shortName>J/ApJS/267/5</shortName><identifier>ivo://CDS.VizieR/J/ApJS/267/5</identifier><altIdentifier>doi:10.26093/cds/vizier.22670005</altIdentifier><curation><publisher ivo-id="ivo://CDS">CDS</publisher><creator><name>Chen J.</name></creator><creator><name>Li Y.-B.</name></creator><creator><name>Luo A.-L.</name></creator><creator><name>Ma X.-X.</name></creator><creator><name>Li S.</name></creator><date role="Updated">2025-05-06T20:12:37Z</date><date role="Created">2023-09-13T15:47:19Z</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>s-stars</subject><subject>visible-astronomy</subject><subject>spectroscopy</subject><subject>surveys</subject><subject>infrared-photometry</subject><subject>chemical-abundances</subject><description>In this paper, we found 2939 S-type stars from LAMOST Data Release 10 using two machine-learning methods, and 2306 of them were reported for the first time. The main purpose of this work is to study how to divide S-type stars into intrinsic and extrinsic stars with photometric data and LAMOST spectra. Using infrared photometric data, we adopted two methods to distinguish S-type stars, i.e., the XGBoost algorithm and color-color diagrams. We trained the XGBoost model with 15 input features consisting of colors and absolute magnitudes from Two Micron All Sky Survey (2MASS), AllWISE, AKARI, and IRAS, and found that the model trained by input features with 2MASS, AKARI, and IRAS data has the highest accuracy of 95.52%. Furthermore, using this XGBoost model, we found four color-color diagrams with six infrared color criteria to divide S-type stars, which have an accuracy of about 90%. Applying the two methods to the 2939 S-type stars, 381 (XGBoost)/336 (color-color diagrams) intrinsic and 495 (XGBoost)/82 (color-color diagrams) extrinsic stars were classified, respectively. Using these photometrically classified intrinsic and extrinsic stars, we retrained the XGBoost model with their blue and red medium-resolution spectra, and the 2939 stars were divided into 855 intrinsic and 2056 extrinsic stars from spectra with an accuracy of 94.82%. In addition, we also found the four spectral regions of ZrI (6451.6{AA}), NeII (6539.6{AA}), H{alpha} (6564.5{AA}), and FeI (6609.1{AA}) and CI (6611.4{AA}) are the most important features, which can reach an accuracy of 92.1% when using them to classify S-type stars.</description><source format="bibcode">2023ApJS..267....5C</source><referenceURL>https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/267/5</referenceURL><type>Catalog</type><contentLevel>Research</contentLevel><relationship><relationshipType>IsServedBy</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/TAP">TAP VizieR generic service</relatedResource></relationship><relationship><relationshipType>IsServedBy</relationshipType><relatedResource>Conesearch service</relatedResource></relationship><relationship><relationshipType>related-to</relationshipType><relatedResource ivo-id="ivo://CDS.VizieR/II/246">II/246 : 2MASS All-Sky Catalog of Point Sources (Cutri+ 2003)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/297">II/297 : AKARI/IRC mid-IR all-sky Survey (ISAS/JAXA, 2010)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/II/338">II/338 : IRAS PSC/FSC Combined Catalogue (Abrahamyan+ 2015)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/V/156">V/156 : LAMOST DR7 catalogs (Luo+, 2019)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/III/284">III/284 : APOGEE-2 data from DR16 (Johnsson+, 2020)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/I/355">I/355 : Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/V/155">V/155 : GDR2AP. Gaia DR2, 2MASS, AllWISE astrophys. param. (Fouesneau+, 2022)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/387/129">J/A+A/387/129 : IR observations of S stars (Wang+, 2002)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJ/831/20">J/ApJ/831/20 : C/O and Mg/Si for solar neighborhood's stars (Brewer+, 2016)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/601/A10">J/A+A/601/A10 : MARCS model atmospheres for S stars (Van Eck+, 2017)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJS/234/31">J/ApJS/234/31 : Carbon stars from LAMOST using machine learning (Li+, 2018)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/AJ/158/22">J/AJ/158/22 : IR study of intrinsic &amp; extrinsic S-type stars (Chen+, 2019)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/626/A127">J/A+A/626/A127 : Barium and related stars and WD companions (Jorissen+, 2019)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/MNRAS/490/157">J/MNRAS/490/157 : Fastest stars in the Galaxy with Gaia DR2 (Marchetti+, 2019)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/633/A135">J/A+A/633/A135 : Solar neighbourhood carbon stars properties (Abia+, 2020)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/A+A/664/A45">J/A+A/664/A45 : Characterisation of Galactic carbon stars (Abia+, 2022)</relatedResource><relatedResource ivo-id="ivo://CDS.VizieR/J/ApJ/931/133">J/ApJ/931/133 : S-type stars from LAMOST MRS DR9 with Gaia DR2 (Chen+, 2022)</relatedResource></relationship></content><rights>https://cds.unistra.fr/vizier-org/licences_vizier.html</rights><capability><interface xsi:type="vr:WebBrowser"><accessURL use="full">https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/267/5</accessURL><mirrorURL title="VizieR at IUCAA: Pune, India">https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/ApJS/267/5</mirrorURL><mirrorURL title="VizieR at SAAO: SAAO, South 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