J/AJ/169/270 Learning-based classification of LAMOST CP1 & CP2 stars (Lu+, 2025)

Deep Learning-based Identification of CP1 and CP2 Stars from LAMOST DR11. Lu Z., Kong X., Zhang Y., Yi Z., Liu M. <Astron. J., 169, 270 (2025)> =2025AJ....169..270L 2025AJ....169..270L
ADC_Keywords: Stars, peculiar; Stars, Am; Stars, Ap; MK spectral classification; Models; Spectra, optical; Spectra, infrared Keywords: Chemically peculiar stars ; Am stars ; Ap stars Abstract: Chemically peculiar (CP) stars, particularly CP1 (metallic-line) and CP2 (magnetic Ap/Bp) stars, are crucial for studying microscopic processes in stellar atmospheres, such as atomic diffusion and magnetic interactions. In this study, we present ODCNNnet, a deep learning-based classification model designed to identify CP1 and CP2 stars from low-resolution spectra. The model achieves an accuracy of 99.81% and a recall of 99.43% for CP1 stars, and an accuracy of 98.82% with a recall of 99.41% for CP2 stars. Applying ODCNNnet to B- to early F-type stars in LAMOST DR11, we identified 33,049 CP1 stars and 5901 CP2 stars, including 5287 newly identified CP1 stars and 1153 newly identified CP2 stars, validated through cross matching with the MKCLASS tool. We further analyzed the stellar parameters of CP stars. The effective temperature (Teff) of CP1 stars ranges from 6000K to 9000K, peaking at 7500K, while CP2 stars span 6000K to 13,000K, with peaks near 8900K and 11,900K. The surface gravity (logg) of CP1 stars is concentrated between 3.4 and 4.6dex, peaking at 3.9dex, while CP2 stars range from 3.5 to 4.6dex. The [Fe/H] of CP1 stars is generally between -1.0 and 0.8dex, peaking around -0.1dex, whereas CP2 stars exhibit a broader distribution from -1.5 dex to 1.0dex, with peaks around -0.25dex and 0.75dex. This study provides a valuable data set for investigating the physical properties of CP stars and their underlying formation mechanisms. Description: The LAMOST, also known as the Guo Shoujing Telescope, is a large-scale reflecting Schmidt telescope located at Xinglong Observatory, operated by the National Astronomical Observatories of China. With an effective aperture ranging from 3.6 to 4.9m and a wide field of view of 5°, LAMOST is capable of simultaneously acquiring spectra from up to 4000 celestial objects through its focal plane, which houses 4000 optical fibers. As of the 11th data release (DR11, V/162), LAMOST has obtained 11,944,094 low-resolution spectra, covering a wavelength range from 3700Å to 9000Å, from ultraviolet to near-infrared, with a spectral resolution of approximately 1800 at 5500Å. This study aims to develop a three-class classifier to effectively distinguish CP1, CP2, and non-CP1/CP2 stars using low-resolution spectra from LAMOST DR11 (V/162) and DR12. To construct and evaluate the classifier, we curated three distinct data sets: CP1 stars, CP2 stasr, and non-CP1/CP2 stars. The CP1 star data set was compiled from two catalogs: one from Shang+2022 (J/ApJS/259/63) containing 17,986 CP1 stars, and the other from Tian+2023 (J/ApJS/266/14) with 21,600 CP1 stars. To improve the accuracy of the model, we selected a subset of 5299 common samples obtained by cross referencing these two catalogs. This intersection was used as the CP1 training set, ensuring that the data set was reliable and representative. For the CP2 star data set, we sourced data from two key catalogs: one from Shang+2022, which lists 2708 CP2 stars, and the other from Shi+2023 (J/ApJ/943/147), which includes 2700 CP2 stars. To ensure adequate data for training, we removed duplicate entries, performed data cleaning, and then combined the two catalogs to generate a final data set of 3799 unique CP2 stars. The non-CP1/CP2 star data set was curated from B-type to early F-type stars in the LAMOST DR9 low-resolution spectra. CP1 and CP2 stars were excluded, and duplicate entries were addressed by retaining only the spectra with the highest signal-to-noise ratio (S/N) in the g band. From this refined data set, we randomly selected 9000 non-CP1/CP2 star spectra as the training set for non-CP1/CP2 stars. In the revised Table 2, we present the updated results: 31,350 CP1 stars and 5744 CP2 stars, including 6421 newly identified CP1 stars and 951 newly identified CP2 stars. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file table2.dat 147 37094 The Catalogs of CP1 and CP2 Stars in the LAMOST DR11 (v1.0) and DR12 (v0) (revised from Erratum) -------------------------------------------------------------------------------- See also: I/355 : Gaia DR3 Part 1. Main source (Gaia Collaboration, 2022) III/162A : General Catalogue of Ap and Am stars (Renson+ 1991) V/162 : LAMOST DR11 catalogs (Luo+, 2026) J/A+A/499/567 : BV differential photometry of HR 7224 (Krticka+, 2009) J/MNRAS/449/1401 : Am stars candidates from LAMOST DR1 (Hou+, 2015) J/AJ/151/13 : LAMOST-Kepler MKCLASS spectral classification (Gray+, 2016) J/MNRAS/480/2953 : Catalogue of CP stars (HgMn, ApBp, AmFm) (Ghazaryan+, 2018) J/ApJS/242/13 : Am stars from LAMOST DR5 (Qin+, 2019) J/A+A/640/A40 : 1002 mCP stars from LAMOST DR4 (Hummerich+, 2020) J/ApJS/259/63 : Chemically peculiar stars CP1 & CP2 from LAMOST (Shang+, 2022) J/ApJ/943/147 : Ap stars from LAMOST DR9 sp. and Gaia DR3 (Shi+, 2023) J/ApJS/266/14 : Am stars selected in LAMOST DR8-DR10 (Tian+, 2023) J/ApJS/272/43 : Am and Ap star candidates from LAMOST DR10 (Yang+, 2024) http://zenodo.org/records/15590979 : Data from this study (Lu+, 2025) Byte-by-byte Description of file:table2.dat -------------------------------------------------------------------------------- Bytes Format Units Label Explanations -------------------------------------------------------------------------------- 1- 10 I10 --- ObsID [405074/1247205195] Unique Spectra ID from LAMOST 12- 24 F13.9 deg RAdeg Right ascension (J2000) 26- 37 F12.9 deg DEdeg Declination (J2000) 39- 40 A2 --- SpTypeL LAMOST derived spectral type (1) 42- 49 F8.2 K Teff [4786/13307] LAMOST effective temperature 51- 57 F7.3 K e_Teff [3.6/777]? Teff uncertainty 59- 63 F5.3 [cm/s2] logg [2.1/4.9] LAMOST log surface gravity 65- 69 F5.3 [cm/s2] e_logg [4e-3/1.11]? logg uncertainty 71- 76 F6.3 [-] [Fe/H] [-2.5/0.995] LAMOST metallicity 78- 82 F5.3 [-] e_[Fe/H] [2e-3/0.662]? [Fe/H] Uncertainty 84- 107 A24 --- SpTypeM MKCLASS code derived spectral type 109- 113 A5 --- qflag Quality flag for SpT_mkclass if any (from "poor" to "vgood") (2) 115- 117 A3 --- subClass Subclass of CP type stars (3) 119 I1 --- fNew [0/1] "0"=Known stars; "1"=New stars (4) 121- 139 I19 --- GaiaDR3 ? Gaia DR3 (I/355) source identifier as obtained from LAMOST 141- 147 A7 --- Version LAMOST data release version, DR11 v1 (V/162) or DR12 v0 (5) -------------------------------------------------------------------------------- Note (1): Spectral types occurrences as follows: A* = 22599 occurrences F* = 14492 occurrences G* = 3 occurrences Note (2): Quality flags occurrences as follows: fair = 159 occurrences good = 6042 occurrences poor = 44 occurrences vgood = 6581 occurrences N/A = 24268 occurrences Note (3): Subclass of chemically peculiar stars as follows: CP1 = Metallic-line (31350 occurrences) CP2 = Ap/Bp stars (5744 occurrences) Note (4): Occurrences as follows: 0 = Known star (29722 occurrences) 1 = New star (7372 occurrences) Note (5): LAMOST data release versions occurrences as follows: DR11 = 33694 occurrences DR12 = 3400 occurrences -------------------------------------------------------------------------------- History: From electronic version of the journal References: Lu et al. Original paper 2025AJ....169..270L 2025AJ....169..270L Lu et al. Erratum 2025AJ....170...62L 2025AJ....170...62L
(End) Prepared by [AAS], Robin Leichtnam [CDS] 11-Feb-2026
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