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| Format: | Artículo Open Access |
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Wiley
2024
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| Online Access: | https://onlinelibrary.wiley.com/doi/10.1002/asna.20249017 |
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| _version_ | 1867012161831698432 |
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| author | Balázs Pál László Dobos |
| author_facet | Balázs Pál László Dobos Balázs Pál László Dobos |
| collection | Wiley Open Access |
| contents | Cover Picture: Astron. Nachr. 9/2024 Balázs Pál László Dobos Astronomische Nachrichten Denoising a medium resolution stellar spectrum with neural networks. Top: Example of a noiseless simulated stellar spectrum (blue) transformed to an “observation” by adding a realistic noise component (gray) such that the effective S/N≈19. Middle: Comparison of the original noiseless simulated spectrum (blue) and the reconstructed spectrum (dashed orange) using a trained denoising autoencoder. The two lines overlap almost entirely, indicating the high accuracy of the machine learning method. Bottom: Relative error calculated as the fraction of pixel‐wise residual noise and the original noiseless flux. The mean and maximum of the relative error are 0.175% and 1.806%, respectively. Formore details see the related paper by Pál and Dobos, published in this issue e240049. image 10.1002/asna.20249017 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/asna.20249017 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_asna_20249017 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2024 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Cover Picture: Astron. Nachr. 9/2024 Balázs Pál László Dobos Astronomische Nachrichten Cover Picture: Astron. Nachr. 9/2024 Balázs Pál László Dobos Astronomische Nachrichten Denoising a medium resolution stellar spectrum with neural networks. Top: Example of a noiseless simulated stellar spectrum (blue) transformed to an “observation” by adding a realistic noise component (gray) such that the effective S/N≈19. Middle: Comparison of the original noiseless simulated spectrum (blue) and the reconstructed spectrum (dashed orange) using a trained denoising autoencoder. The two lines overlap almost entirely, indicating the high accuracy of the machine learning method. Bottom: Relative error calculated as the fraction of pixel‐wise residual noise and the original noiseless flux. The mean and maximum of the relative error are 0.175% and 1.806%, respectively. Formore details see the related paper by Pál and Dobos, published in this issue e240049. image 10.1002/asna.20249017 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Cover Picture: Astron. Nachr. 9/2024 |
| topic | Astronomische Nachrichten |
| url | https://onlinelibrary.wiley.com/doi/10.1002/asna.20249017 |