Towards a Comprehensive Understanding of Planetary Systems through Population-Level, Large-Scale Surveys
Francisco J. Pozuelos, Pedro J. Amado, Jes\'us Aceituno, Marina Centenera-Merino, Stefan Cikota, Javier Flores, Julius G\"ohring, Sergio Le\'on-Saval, Kalaga Madhav, Giuseppe Morello, Abani Nayak, Jose L. Ortiz, David P\'erez-Medialdea, Mar\'ia Isabel Ruiz-L\'opez

TL;DR
This paper emphasizes the importance of large-scale, population-level surveys and innovative telescope architectures to advance the physical understanding of exoplanets, addressing current limitations in characterizing planetary masses and atmospheres.
Contribution
It proposes a new observational paradigm using photonics-enabled, modular telescopes to enable scalable, homogeneous surveys for planetary characterization.
Findings
Current facilities are limited to detailed studies of individual exoplanets.
Upcoming missions will detect many planets but lack large-scale characterization capabilities.
Photonics-enabled telescopes can provide the necessary survey speed and scalability.
Abstract
Over the past three decades, exoplanet research has delivered an extensive census of planets spanning a wide range of masses, sizes, and orbital configurations. Despite this progress, the physical interpretation of these populations remains severely limited, as precise constraints on planetary masses, interior structures, and atmospheres are available only for a small, highly selected subset of targets. As a result, most known exoplanets remain physically ambiguous, preventing the construction of robust population-level trends and limiting our understanding of planet formation, evolution, and habitability. In the coming decades, missions such as PLATO, Earth 2.0, and the Nancy Grace Roman Space Telescope will dramatically expand the number of exoplanets detected. However, without a corresponding capability to characterise planetary masses and atmospheres at scale, these discoveries…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
