Surface Mapping of Earth-like Exoplanets using Single Point Light Curves

Area of Science:

• Exoplanetary Science
• Astrophysics
• Planetary Science

Background:

• Assessing exoplanet habitability requires understanding their surface features and climate systems.
• Current methods struggle to resolve exoplanet details from single-point observations.

Purpose of the Study:

• To develop and demonstrate a protocol for retrieving exoplanet surface maps and inferring climate systems from multi-wavelength light curves.
• To evaluate the potential habitability of exoplanets by spatially resolving their features.

Main Methods:

• Utilizing singular value decomposition (SVD) to separate light curve variations and identify principal components (PCs).
• Inferring physical attributions of PCs without prior spectral assumptions.
• Reconstructing surface maps by combining PC analysis with viewing geometry and regularization techniques.

Main Results:

• Successfully demonstrated the protocol using Earth's light curves as a proxy.
• Showcased the capability to infer climate systems and reconstruct surface information.
• Identified limitations and performance benchmarks for the developed method.

Conclusions:

• The developed protocol offers a novel approach to exoplanet surface and climate characterization.
• This method provides a benchmark for future exoplanet applications in habitability studies.
• Enables spatially resolved analysis of exoplanet features from single-point observations.