Direct High-Resolution Imaging of Earth-Like Exoplanets
arXiv:2506.20236 · doi:10.1103/f2wz-qwqm
Abstract
We have surveyed all conventional methods proposed or conceivable for obtaining resolved images of an Earth-like exoplanet. Generating a 10 x 10 pixel map of a 1 R_E world at 10 pc demands ~0.85 uas angular resolution and photon-collection sufficient for SNR >= 5 per micro-pixel. We derived diffraction-limit and photon-budget requirements for: (1) large single-aperture space telescopes with internal coronagraphs; (2) external starshades; (3) space-based interferometry (nulling and non-nulling); (4) ground-based ELTs with extreme AO; (5) pupil-densified "hypertelescopes"; (6) indirect reconstructions (rotational light-curve inversion, eclipse mapping, intensity interferometry); (7) diffraction occultation by Solar System bodies. Even though these approaches serve their primary goals -- exoplanet discovery and initial coarse characterization -- each remains orders of magnitude away from delivering a spatially resolved image. In every case, technology readiness falls short, and fundamental barriers leave them 2-5 orders of magnitude below the angular-resolution and photon-budget thresholds to map an Earth analog even on decadal timescales. Ultimately, an in-situ platform delivered to <= 0.1 AU of the target could, in principle, overcome both diffraction and photon-starvation limits -- but such a mission far exceeds current propulsion, autonomy, and communications capabilities. By contrast, the Solar Gravitational Lens -- providing on-axis gain of ~1e10 and inherent uas-scale focusing once an imaging spacecraft reaches heliocentric distances beyond >= 550 AU -- is uniquely capable of simultaneously meeting both the resolution and photon-budget requirements. Once mission-specific risks (coronal calibration, focal-plane scanning, deconvolution) are retired, the SGL enables true, resolved surface images and spatially resolved spectroscopy of Earth-like exoplanets in our stellar neighborhood.
arXiv comment51 pages, 3 tables
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