
TL;DR
This paper proposes a comprehensive taxonomy scale for classifying extrasolar planets based on mass, distance, temperature, and surface characteristics, facilitating easier interpretation and comparison of exoplanet data.
Contribution
It introduces a novel, multi-parameter classification system for extrasolar planets, analogous to stellar spectral types, enhancing data organization and analysis.
Findings
The taxonomy scale effectively categorizes known exoplanets like Earth and Neptune.
It incorporates temperature and surface features for detailed classification.
Provides a standardized framework for future exoplanet data cataloging.
Abstract
When a star is described as a spectral class G2V, we know that the star is similar to our Sun. We know its approximate mass, temperature, age, and size. When working with an extra-solar planet database, it is very useful to have a taxonomy scale (classification) such as, for example, the Harvard classification for stars. The taxonomy has to be easily interpreted and present the most relevant information about extra-solar planets. I propose the following the extra-solar planet taxonomy scale with four parameters. The first parameter concerns the mass of an extra-solar planet in the form of the units of the mass of other known planets, where M represents the mass of Mercury, E that of Earth, N Neptune, and J Jupiter. The second parameter is the planet's distance from its parent star (semi-major axis) described in logarithm with base 10. The third parameter is the mean Dyson temperature of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
