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Studying planetary habitability has become a major emerging research area, with critical implications for future exoplanet exploration and ambitious ground- and space-based telescopes. Efforts to design and optimize these missions have been focusing on maximizing the planet yield the number of exoplanets a survey will be able to characterize which is not necessarily equivalent to science return. We present Bioverse, a framework to quantify the diagnostic power of nextgeneration exoplanet surveys Bioverse allows to assess the detectability of population-level trends injected in simulated planet populations. Here, we apply Bioverse to explore the requirements for a mission to probe and characterize the inner edge of the habitable zone. We show that, through probing a discontinuity in the distribution of planetary radii and bulk densities caused by the runaway greenhouse transition, the PLATO mission will likely be able to constrain this demographic feature. This will constitute the first empirical test of the habitable zone concept.We further use Bioverse to demonstrate how contextual information about a planet with a biosignature detection, such as its orbit or properties of its host star, lend or take away credibility from competing models of abiogenesis. We demonstrate that planet sample sizes 100 enable a strong test of a predicted correlation between past received nearultraviolet flux and the occurrence of biosignatures in the cyanosulfidic scenario for the origin of life.Probabilistic assessments that take into account the population context will be critical for an effective search for extraterrestrial life in the Universe and to constrain the origin of life.Figure 1. Detection of the Habitable Zone Inner Edge Discontinuity. We fit a population-level runaway greenhouse model (red posterior draws) to simulated radius measurements and test this hypothesis against the null hypothesis of an irradiation-independent distribution. In a large (N = 500) planet sample, the discontinuity is detected with high confidence.References:Bixel, A., Apai, D. 2021, The Astronomical Journal, 161, 228, doi: 10.3847/1538-3881/abe042Dorn, C., Lichtenberg, T. 2021, ApJL, 922, L4, doi: 10.3847/2041-8213/ac33afRanjan, S., Wordsworth, R., Sasselov, D. D. 2017, Astrobiology, 17, 687, doi: 10.1089/ast.2016.1596Schlecker, M., Apai, D., Lichtenberg, T., et al., The Planetary Journal, in press. arXiv:2309.04518Turbet, M., Bolmont, E., Chaverot, G., et al. 2021, Nature, 598, 276, doi: 10.1038/s41586-021-03873-w
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Martin Schlecker
European Southern Observatory
Dániel Apai
Leiden University
Tim Lichtenberg
University of Groningen
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Schlecker et al. (Wed,) studied this question.
synapsesocial.com/papers/68e61909b6db6435875ab2dd — DOI: https://doi.org/10.5194/epsc2024-1374