ESA White paper: Atmospheric modeling: Setting Biomarkers in context

TL;DR

This paper discusses the need for comprehensive atmospheric modeling of Earth-like exoplanets to identify biomarkers, emphasizing the importance of creating a parameter grid to aid detection and characterization.

Contribution

It highlights the necessity of extensive theoretical modeling across multiple parameters to support biomarker detection in exoplanet atmospheres.

Findings

Modeling a wide parameter space informs detection strategies.

Creating a grid of atmospheric models aids in spectral characterization.

Supports ESA's goal of detecting biomarkers in habitable exoplanets.

Abstract

Motivation: ESAs goal to detect biomarkers in Earth-like exoplanets in the Habitable Zone requires theoretical groundwork that needs to be done to model the influence of different parameters on the detectable biomarkers. We need to model a wide parameter space (chemical composition, pressure, evolution, interior structure and outgassing, clouds) to generate a grid of models that inform our detection strategy as well as can help characterize the spectra of the small rocky planets detected.