J/A+A/711/A217ivo://CDS.VizieR/J/A+A/711/A217CDSLi Q.Bu Y.Zhang J.Zhang Y.Wang K.Yang B.Yi Z.Kong X.Liu M.2026-07-16T10:04:46Z2026-07-16T11:03:51ZCDS support team

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

cds-question@unistra.frspectroscopic-binary-starsmultiple-starssubdwarf-starsastrometryphotometryspectroscopyvisible-astronomyeffective-temperatureHot subdwarf stars are important tracers of stellar structure and evolution, while their binary systems provide key constraints on their formation channels. Nevertheless, the number of confirmed hot subdwarf binaries is still limited. We aim to identify hot subdwarf binaries efficiently and reliably in large candidate samples by combining heterogeneous observational information. We developed a two-stage classification framework. A Bayesian neural network was first used to perform preliminary classification and uncertainty quantification from Gaia photometric and astrometric data. We then constructed a multimodal deep learning model, HsdB-FusionNet, which combines Gaia photometric and astrometric features with SDSS spectra through a cross-attention mechanism. We applied this framework to a catalog of 61 585 hot subdwarf candidates. The resulting candidates were further examined through spectral energy distribution fitting, and atmospheric parameters were derived for high-quality systems. We identified 1369 hot subdwarf binary candidates from the parent sample. Among them, 1057 objects were strongly supported as binaries by spectral energy distribution fitting. Atmospheric parameters were obtained for 579 high-quality binary systems. The interpretability analysis further indicates that the model decisions are consistent with known physical priors. This work provides a substantially enlarged sample of hot subdwarf binary candidates and demonstrates the potential of multimodal deep learning for binary identification. The released catalog offers a useful basis for future studies on the formation and evolution of hot subdwarf binaries.2026A&A...711A.217Lhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/711/A217CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/711/A217https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/711/A217http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/711/A217https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/711/A217https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/711/A217http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/711/A217GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/711/A217/catalog (Astrometrics, binary probabilities, atmospheric parameters from Chi2 SED fits VOSA tool of hot subdwarf binary candidates identified with the HsdB-FusionNet framework)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/711/A217/catalog?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/711/A217/catalog?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/711/A217/catalog?GETtext/xml+votable180.050000true50.279394474.8640547510.0055555555555555565/1540 7921 6/21 37 64 262 544 547 904 920 991 1011-1012 1067 1069-1070 1700-1702 1708 2036-2037 2041-2042 2048 2086 2192 2198 2641 3959 4097 4102 4104 4106 4110 4118 4128 4134 4137 4140 4143-4144 4153-4154 4163-4164 4192 4196 4202 4232 4239-4240 4246-4247 4274-4276 4289 4305 4327-4328 4334 4336 4347 4353 4357 4367 4369 4379 4385 4402 4409 4419 4424 4442-4443 4455 4474 4499 4505 4517-4518 4541 4568 4576 4613 4634 4636 4670 4672 4674-4676 4679-4680 4703 4705 4709 4712 4717 4719 4728 4734 4749 4757 4770 4777 4781 4796-4798 4800 4806 4808 4817 4822 4850 4865 4875 4886 4888 4899-4900 4921 4934 4941-4942 4956 5019 5022 5028 5041 5055 5061-5062 5064 5067-5068 5075 5087 5104-5105 5116 5122 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49149https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/711/A217?format=asciiOpticaldefaultJ/A+A/711/A217/catalogAstrometrics, binary probabilities, atmospheric parameters from Chi2 SED fits VOSA tool of hot subdwarf binary candidates identified with the HsdB-FusionNet frameworkrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintRA_ICRSRight ascension (ICRS) at Epoch=J2000 (RA_ICRS)degpos.eq.ra;meta.mainDE_ICRSDeclination (ICRS) at Epoch=J2000 (DE_ICRS)degpos.eq.dec;meta.mainGaiaDisplay the Gaia DR3 Part 1. Main source from Gaia Collaboration 2023A&A...674A...1G, Cat. I/355meta.ref.urlcharSDSSDisplay the SDSS dr16 from Ahumada et al. 2020ApJS..249....3A, Cat. V/154meta.ref.urlcharPbinaryBinary probability from the final HsdB-FusionNet model (binary_probability)stat.fit.goodnessdoublee_PbinaryPredictive uncertainty from the Gaia-based BNN classifier (bnn_uncertainty)stat.errordoubleBinaryPredicted class label; 1=binary (predicted_class)meta.codeintClassText label of predicted class (predicted_label)src.classcharDataData used for final classification (data_source)meta.codecharID? Internal SED-fitting identifier (object_id)meta.id;meta.mainintnullableChi2s? Chi-square of the single-star fit (Chi2_single)stat.fit.chi2doublenullableChi2b? Chi-square of the binary-star fit (Chi2_binary)stat.fit.chi2doublenullableChi2d? Chi2_single minus Chi2_binary (Delta_Chi2)stat.fit.chi2doublenullableChi2r? Chi2_single divided by Chi2_binary (Chi2_ratio)stat.fit.chi2doublenullableTeff1? Effective temperature of primary (Teff1_binary) (1)Kphys.temperature.effectiveintnullableTeff2? Effective temperature of companion (Teff2_binary) (1)Kphys.temperature.effectiveintnullablelogg1? Surface gravity of primary (logg1_binary) (1)log(cm.s**-2)phys.gravityfloatnullablelogg2? Surface gravity of companion (logg2_binary) (1)log(cm.s**-2)phys.gravityfloatnullableSEDqSED-fitting validation flag (sed_quality) (2)meta.codechar