TL;DR
This paper investigates how uncertainties in stellar observations and models affect the assessment of long-term habitability metrics for exoplanets, emphasizing the importance of precise age measurements.
Contribution
It analyzes the sensitivity of habitability metrics to observational and model uncertainties, highlighting the value of independent age constraints for better habitability assessments.
Findings
Independent age constraints significantly reduce uncertainties.
Model differences impact habitability metric estimates.
Current measurement precision limits target star ranking accuracy.
Abstract
Knowledge of a star's evolutionary history combined with estimates of planet occurrence rates allows one to infer its relative quality as a location in the search for biosignatures, and to quantify this intuition using long-term habitability metrics. In this study, we analyse the sensitivity of the biosignature yield metrics formulated by Tuchow & Wright (2020) to uncertainties in observable stellar properties and to model uncertainties. We characterize the uncertainties present in fitting a models to stellar observations by generating a stellar model with known properties and adding synthetic uncertainties in the observable properties. We scale the uncertainty in individual observables and observe the the effects on the precision of properties such as stellar mass, age, and our metrics. To determine model uncertainties we compare four well accepted stellar models using different model…
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