EPSC Abstracts
Vol. 18, EPSC-DPS2025-542, 2025, updated on 09 Jul 2025
https://doi.org/10.5194/epsc-dps2025-542
EPSC-DPS Joint Meeting 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Multi-method extraction of quasi-periodic exoplanet signals from noisy data in transit surveys
Yannick Eyholzer1, Adrien Leleu2, and Slava Voloshynovskiy3
Yannick Eyholzer et al.
  • 1University of Geneva, Observatory of geneva, Astronomy, Switzerland (yannick.eyholzer@unige.ch)
  • 2University of Geneva, Observatory of geneva, Astronomy, Switzerland (adrien.leleu@unige.ch)
  • 3University of Geneva,Centre Universitaire d'Informatique, Computer Science, Switzerland (Svyatoslav.Voloshynovskyy@unige.ch)

How to cite: Eyholzer, Y., Leleu, A., and Voloshynovskiy, S.: Multi-method extraction of quasi-periodic exoplanet signals from noisy data in transit surveys, EPSC-DPS Joint Meeting 2025, Helsinki, Finland, 7–12 Sep 2025, EPSC-DPS2025-542, https://doi.org/10.5194/epsc-dps2025-542, 2025.

This abstract has been withdrawn on 18 Sep 2025.