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| Paper: |
Emission stellar spectra normalisation using SUPPNet |
| Volume: |
535, Astronomical Data Analysis Software and Systems XXXI |
| Page: |
111 |
| Authors: |
Rozanski, T. |
| Abstract: |
Spectrum normalisation is an important and demanding task which is a necessary step of most stellar spectra analysis. To automate this step, we developed a deep neural network that is well suited for this task called SUPPNet1. Here we shortly describe the method and focus on the latest advances in applying it to the normalisation of emission spectra. |
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