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Main Authors: Balázs Pál, László Dobos
Format: Artículo Open Access
Published: Wiley 2024
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Online Access:https://onlinelibrary.wiley.com/doi/10.1002/asna.20249017
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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