SOURCE-LINKED INTELLIGENCE
Harnessing a New Generation of Solar Facilities and Machine Learning to Unveil the Quiet Sun's Hidden Magnetism
Harnessing a New Generation of Solar Facilities and Machine Learning to Unveil the Quiet Sun's Hidden Magnetism This proposal will advance our understanding of solar magnetism to unravel the mystery of how the outer solar atmosphere is heated by leveraging a new generation of European observational facilities. The objectives are threefold: (1) Investigate the contribution of small-scale magnetic fields in the quiet Sun (QS) to chromospheric heating by tracking magnetic features across multiple atmospheric layers using high-resolution data from the SUNRISE III balloon-borne observatory. This facility offers unique advantages, such as providing high resolution observations in 14 spectral lines with three instruments while avoiding atmospheric distortions. (2) Reveal hidden magnetism in the QS using the Hanle effect, with observations from SUNRISE III's unprecedented suite of instruments, allowing simultaneous Zeeman and Hanle diagnostics fo
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 252728.64
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.