A deep learning framework for instrument-to-instrument translation of solar observation data
Abstract The constant improvement of astronomical instrumentation provides the foundation for scientific discoveries. In general, these improvements have only implications forward in time, while previous observations do not benefit from this trend, and the joint use of data sets from different instr...
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| Main Authors: | R. Jarolim, A. M. Veronig, W. Pötzi, T. Podladchikova |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-58391-4 |
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