SOURCE-LINKED INTELLIGENCE
Physical modelling of stellar activity effects to discover and measure exoearths
ty from RV time-series and transit spectroscopy. The SPOTLESS project will implement this methodology by building a realistic stellar activity simulator and develop correction strategies using, e.g., machine learning algorithms and direct inversion. This is more reliable than purely data-driven methods, which often suffer from overfitting due to the lack of a physical context. Four main objectives will be pursued: 1) A physical model of the active solar surface to explain Sun-as-a-star observables, 2) Generalise to other spectral types & parameters, 3) Physically-motivated RV activity corrections at 10 cm/s, and 4) Physically-motivated transit activity corrections at 10 ppm. From available and future observations, SPOTLESS will deliver new challenging exoplanet RV discoveries and unbiased transmission spectra, taking exoplanet research to the next level by enabling the detection and characterisation of exoearths, and the eventual search for signs of biological activity.
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2477355.94
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.