Similarity indexing of exoplanets in search for potential habitability: application to Mars-like worlds
Madhu Kashyap Jagadeesh, S. B. Gudennavar, Urmi Doshi, and M. Safonova

TL;DR
This paper introduces a Mars Similarity Index (MSI) to identify Mars-like exoplanets potentially habitable for extremophiles, complementing the Earth Similarity Index (ESI) by focusing on extreme life environments.
Contribution
The paper develops the MSI, a new similarity index for Mars-like worlds, and establishes a calibration method for estimating exoplanet surface temperatures using known planetary data.
Findings
MSI effectively identifies Mars-like exoplanets.
Calibration relation between surface and equilibrium temperatures was established.
MSI aids in searching for extremophile habitats on exoplanets.
Abstract
Study of exoplanets is one of the main goals of present research in planetary sciences and astrobiology. Analysis of huge planetary data from space missions such as CoRoT and Kepler is directed ultimately at finding a planet similar to Earth -- the Earth's twin, and answering the question of potential exo-habitability. The Earth Similarity Index (ESI) is a first step in this quest, ranging from 1 (Earth) to 0 (totally dissimilar to Earth). It was defined for the four physical parameters of a planet: radius, density, escape velocity and surface temperature. The ESI is further sub-divided into interior ESI (geometrical mean of radius and density) and surface ESI (geometrical mean of escape velocity and surface temperature). The challenge here is to determine which exoplanet parameter(s) is important in finding this similarity; how exactly the individual parameters entering the interior…
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