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Updated: Feb 14, 2026

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Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
Published on: May 10, 2020
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DETECTING EXOMOONS AROUND SELF-LUMINOUS GIANT EXOPLANETS THROUGH POLARIZATION
Sujan Sengupta1, Mark S Marley2
1Indian Institute of Astrophysics, Koramangala 2nd Block, Bangalore 560 034, India.
Summary
Detecting exomoons around gas giant exoplanets may be possible using time-resolved imaging polarimetry. This technique analyzes polarized light scattered by cloudy atmospheres during exomoon transits, revealing subtle polarization signals.
Area of Science:
- Exoplanetary science
- Atmospheric physics
- Observational astrophysics
Background:
- Directly imaged gas giant exoplanets often exhibit cloudy atmospheres.
- Scattering of thermal radiation by atmospheric dust grains induces linear polarization.
- Spherical symmetry typically results in zero disk-averaged polarization, but rotation can cause non-zero polarization.
Purpose of the Study:
- To investigate the potential of time-resolved imaging polarimetry for detecting exomoons.
- To model polarization signals generated during exomoon transits across exoplanets.
- To determine the feasibility of detecting exomoons via polarization signatures.
Main Methods:
- Utilizing detailed atmospheric models for self-luminous exoplanets with varying temperatures and surface gravities.
- Simulating infrared polarization profiles during exoplanet transit phases.
- Estimating the peak polarization amplitude during inner contact phases of transit ingress/egress.
Main Results:
- Exomoon transits can induce a net non-zero, time-resolved linear polarization signal.
- Peak polarization amplitudes are predicted to range from 0.1% to 0.3% in the infrared.
- This signal may be detectable even for slowly rotating exoplanets.
Conclusions:
- Time-resolved imaging polarimetry offers a promising method for detecting large exomoons.
- The induced polarization asymmetry during transit is key to exomoon detection.
- This technique could expand the discovery space for exoplanetary systems.
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