In this follow-up article, we investigate the use of convolutional neural network for deriving stellar parameters from observed spectra. Using hyperparameters determined previously, we have constructed a Neural Network architecture suitable for the derivation of T eff {T}_{{\rm{eff}}} , log g \log g , [ M / H ] \left[M\hspace{0.1em}\text{/}\hspace{0.1em}H] , and v e sin i {v}_{e}\sin i . The network was constrained by applying it to databases of AFGK synthetic spectra at different resolutions. Then, parameters of A stars from Polarbase, SOPHIE, and ELODIE databases are derived, as well as those of FGK stars from the spectroscopic survey of stars in the solar neighbourhood. The network model’s average accuracy on the stellar parameters is found to be as low as 80 K for T eff {T}_{{\rm{eff}}} , 0.06 dex for log g \log g , 0.08 dex for [ M / H ] \left[M\hspace{0.1em}\text{/}\hspace{0.1em}H] , and 3 km/s for v e sin i {v}_{e}\sin i for AFGK stars.
Inhalt
- Research Articles
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28. Februar 2023
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14. Juni 2023
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26. September 2023
- Review Article
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26. August 2023
- Special Issue: New Technology for Space Environment Detection Based on Beidou Constellation
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2. Februar 2023
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10. Februar 2023
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22. Februar 2023
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24. Februar 2023
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Open AccessDesign and validation of a space plasma environment detector for BeiDou navigation satellite31. März 2023
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1. April 2023
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21. April 2023
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30. Juni 2023
- Special Issue: Modern Stellar Astronomy 2022
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Open AccessCrossmatching of high-proper motion L, T, and Y brown dwarfs with large photometric surveys16. Februar 2023
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18. Februar 2023
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3. März 2023
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9. März 2023
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25. April 2023
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Open AccessInvestigation of the halo effect in the evolution of a nonstationary disk of spiral galaxies26. Juni 2023
- Special Issue: Astromineralogy and cosmochemistry of the Kaba meteorite
- Special Issue: The Hubble Tension: Current Research and New Perspectives
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Open AccessLate-time dark energy and Hubble tension9. Mai 2023
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1. August 2023