Furkejuvvon:
| Váldodahkkit: | , |
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| Materiálatiipa: | Recurso digital |
| Giella: | |
| Almmustuhtton: |
Zenodo
2025
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| Liŋkkat: | https://doi.org/10.5281/zenodo.18002949 |
| Fáddágilkorat: |
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Sisdoallologahallan:
- The past two decades have witnessed a revolution in exoplanetary science, largely driven by dedicated space missions like Kepler, TESS, and the upcoming PLATO. These missions employ the transit photometry method to detect planets, but each possesses unique observational characteristics, target star populations, and consequently, distinct sensitivity profiles. This inherent diversity in detection capabilities introduces biases into the observed exoplanet population, making a direct comparison of their findings and a comprehensive understanding of true planetary system architecture challenging. This paper presents a unified statistical framework to synthesize the sensitivity profiles of Kepler, TESS, and PLATO. We develop a robust methodology for deconvolving the observational biases inherent in each mission's data, allowing for a more accurate and homogeneous characterization of planetary system demographics. Our approach leverages detailed injection-recovery simulations and Bayesian statistical modeling to derive intrinsic population parameters across different planet radii, orbital periods, and stellar types. The synthesis reveals a more complete picture of the prevalence and architectural variations of planetary systems, identifying regions of parameter space where missions complement each other and highlighting areas where systematic differences significantly impact demographic inferences. We discuss the implications of our findings for planet formation and evolution theories, providing a refined understanding of the underlying distribution of exoplanets beyond the limitations of individual surveys.