A population-based Habitable Zone perspective
Andras Zsom

TL;DR
This paper introduces a statistical, population-based approach to defining the habitable zone (HZ) for exoplanets, accounting for unknown atmospheric and geophysical diversity, and uses Monte Carlo simulations to estimate habitable probabilities.
Contribution
It presents a novel probabilistic framework for the HZ that incorporates diverse planetary properties and current observational limits, moving beyond traditional sharp boundaries.
Findings
The HZ is a weakly-constrained probability function with an inner edge but no clear outer edge.
Current data only allow for optimistic upper limits on habitable exoplanet occurrence.
Future atmospheric data will significantly improve habitability probability estimates.
Abstract
What can we tell about exoplanet habitability if currently only the stellar properties, planet radius, and the incoming stellar flux are known? A planet is in the Habitable Zone (HZ) if it harbors liquid water on its surface. The HZ is traditionally conceived as a sharp region around stars because it is calculated for one planet with specific properties. Such an approach is limiting because the planets' atmospheric and geophysical properties, which influence the presence of liquid water on the surface, are currently unknown but expected to be diverse. A statistical HZ description is outlined which does not favor one planet type. Instead the stellar and planet properties are treated as random variables and a continuous range of planet scenarios are considered. Various probability density functions are assigned to each random variable, and a combination of Monte Carlo sampling and…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Economic Growth and Productivity
