A Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI)

TitleA Comparative Analysis of the Cobb-Douglas Habitability Score (CDHS) with the Earth Similarity Index (ESI)
Publication TypeConference Paper
Year of Publication2018
AuthorsAgrawal, S.., S.. Basak, K.. Bora, and J.. Murthy
Conference Name7th International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018
Date Published2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN Number9781538653142 (ISBN)
KeywordsActivation function, Activation functions, Analytical properties, Artificial neural networks, AstroInformatics, Cobb-Douglas, Comparative analysis, Convex optimization, Different class, Exo-planets, exoplanets, Extrasolar planets, Learning systems, Machine Learning, Neural networks, Similarity indices

Habitability of exoplanets is an intriguing and complex phenomenon. Ever since the seminal work by Schulz Makuz et. al., metrics for habitability have been used to evaluate exoplanet candidates for habitability. Following the work by Schulz Makuz et. al., Bora and Saha proposed metrics from a convex optimization perspective and reconciled machine learning principles with their metric. The current manuscript studies the relationship between the two metrics, Earth Similarity Index (ESI) and Cobb-Douglas Habitability Score (CDHS) in the context of characterizing exoplanets into different classes. The authors bring out the contrasts between the two metrics and highlight analytical properties of CDHS. Such comparative analysis is important to understand the efficacy of habitability metrics in the study of exoplanets. © 2018 IEEE.