Knowing where to point our future planet-hunter telescopes in space is crucial, because we’ll want to maximize observing time for the most likely stellar candidates. There are various ways to narrow the list, but one involves the study of existing spectroscopic data. Charles Lineweaver (Australian National University) calls it a ‘poor man’s technique,’ an inexpensive way to look at the elements within stars and calculate from their abundance the kind of planets that may have formed in that system.

The differences between the rocky terrestrial planets in our own Solar System and the outer gas giants are instructive. We can assume that planets form from the same raw materials as the stars they orbit. But the inner planets lack volatile gases like hydrogen and helium compared to the Sun, while maintaining the same abundances of heavier elements like silica and iron. The latter don’t vaporise easily in warmer inner orbits.

So a star heavy in iron is likely circled by inner planets abundant in the same element. The kind of elements involve may tell a fascinating tale. Lineweaver told Australia National Broadcasting’s Science Online that the ratio of carbon to oxygen, for example, could predict the formation of vastly different kinds of planets. Here’s a quote from the article:

“As the planetary disc cools, carbon and oxygen combine to form carbon monoxide, which gets blown away. If there is more oxygen than carbon, the oxygen that’s left combines with everything else and you’ll end up with a rocky planet like Earth… But if there’s more carbon, it combines with silica and magnesium and iron and you end up with all sorts of weird carbide planets that may have a diamond core.”

Hence a kind of element mapping may take place: The ratio of carbon to oxygen being higher near the center of the galaxy, such diamond carbide planets may be more abundant there. In any case, we have spectroscopic data in great quantity for nearby worlds we’ll be examining with future planet-finder missions. An upcoming Lineweaver paper will go into detail about how predictive the abundances of these elements may be.