J/ApJS/259/5        Hot subdwarf candidates from LAMOST DR7        (Tan+, 2022)

A robust identification method for hot subdwarfs based on deep learning. Tan L., Mei Y., Liu Z., Luo Y., Deng H., Wang F., Deng L., Liu C. <Astrophys. J. Suppl. Ser., 259, 5-5 (2022)> =2022ApJS..259....5T 2022ApJS..259....5T (SIMBAD/NED BibCode)
ADC_Keywords: Stars, subdwarf; Spectra, optical Keywords: Convolutional neural networks; Subdwarf stars; Stellar classification Stellar types Abstract: Hot subdwarf stars are a particular type of star that is crucial for studying binary evolution and atmospheric diffusion processes. In recent years, identifying hot subdwarfs by machine-learning methods has become a hot topic, but there are still limitations in automation and accuracy. In this paper, we proposed a robust identification method based on a convolutional neural network. We first constructed the data set using the spectral data of LAMOST DR7-V1. We then constructed a hybrid recognition model including an eight-class classification model and a binary classification model. The model achieved an accuracy of 96.17% on the testing set. To further validate the accuracy of the model, we selected 835 hot subdwarfs that were not involved in the training process from the identified LAMOST catalog (2428, including repeated observations) as the validation set. An accuracy of 96.05% was achieved. On this basis, we used the model to filter and classify all 10,640,255 spectra of LAMOST DR7-V1, and obtained a catalog of 2393 hot subdwarf candidates, of which 2067 have been confirmed. We found 25 new hot subdwarfs among the remaining candidates by manual validation. The overall accuracy of the model is 87.42%. Overall, the model presented in this study can effectively identify specific spectra with robust results and high accuracy, and can be further applied to the classification of large-scale spectra and the search for specific targets. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file table4.dat 94 2393 Manual verification results of the 2393 hot subdwarf candidates -------------------------------------------------------------------------------- See also: V/146 : LAMOST DR1 catalogs (Luo+, 2015) V/156 : LAMOST DR7 catalogs (Luo+, 2019) J/MNRAS/380/1098 : UV-upturn of elliptical galaxies model (Han+, 2007) J/A+A/549/A110 : Metal abundances of sdB stars (Geier, 2013) J/ApJ/764/25 : FUSE spectra analysis of hot subdwarf stars (Jenkins, 2013) J/ApJ/818/202 : Hot subdwarf stars in LAMOST DR1 (Luo+, 2016) J/A+A/600/A50 : Catalog of hot subdwarf stars (Geier+, 2017) J/ApJ/868/70 : Hot subdwarf stars from Gaia DR2 and LAMOST DR5 (Lei+, 2018) J/ApJ/881/135 : Hot subdwarf stars from GaiaDR2 & LAMOST DR5. II. (Lei+, 2019) J/A+A/621/A38 : Gaia catalogue of hot subluminous stars (Geier+, 2019) J/ApJ/898/64 : Hot subdwarf stars from Gaia & LAMOST. II. RVs (Luo+, 2020) J/ApJ/889/117 : Hot subdwarf stars from GaiaDR2 & LAMOSTDR6+7. I. (Lei+, 2020) J/ApJS/256/28 : Hot subdwarf stars with GaiaDR2 & LAMOST DR7 data (Luo+, 2021) Byte-by-byte Description of file: table4.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 20 A20 --- LAMOST LAMOST designation (JHHMMSS.ss+DDMMSS.s) 22- 30 I9 --- ObsID [106081/746810176] Unique number ID of this spectrum 32- 41 F10.6 deg RAdeg Right Ascension in decimal degrees (J2000) 43- 51 F9.6 deg DEdeg [-7.14/82] Declination decimal degrees (J2000) 53- 58 F6.2 --- SNRg [2.18/629.1] Signal-to-Noise in g band 60- 65 F6.2 --- SNRu [0/436] Signal-to-Noise in u band 67- 74 F8.2 --- SNRz [0/411.3]?=-9999 Signal-to-Noise in z band 76- 83 F8.2 --- SNRr [0/579]?=-9999 Signal-to-Noise in r band 85- 92 F8.2 --- SNRi [0/608]?=-9999 Signal-to-Noise in i band 94 I1 --- Type [1/4] Type description code (1) -------------------------------------------------------------------------------- Note (1): Type as follows: 1 = Hot subdwarfs that have been identified by previous work (2067 occurrences). 2 = Newly discovered Hot subdwarfs (25 occurrences). 3 = Identified as other classes by manual validation (183 occurrences). 4 = Cannot determine the class due to low SNR (118 occurrences). -------------------------------------------------------------------------------- History: From electronic version of the journal
(End) Prepared by [AAS], Emmanuelle Perret [CDS] 03-Aug-2022
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