Construction of an earth model: Analysis of exoplanet light curves and mapping the next earth with the new worlds observer

53Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

The orbital light curve of a terrestrial exoplanet will likely contain valuable information about the surface and atmospheric features of the planet, both in its overall shape and hourly variations. We have constructed an empirically based code capable of simulating observations of the Earth from any orientation, at any time of year with continuously updated cloud and snow coverage with a New Worlds Observatory. By simulating these observations over a full orbital revolution at a distance of 10pc we determine that the detection of an obliquity or seasonal terrain change is possible at low inclinations. In agreement with other studies, a 4m New Worlds Observer can accurately determine the rotation rate of the planet at a success rate from ∼ 30% to 80% with only 5days of observations depending on the signal to noise of the observations. We also attempt simple inversions of these diurnal light curves to sketch a map of the reflecting planet's surface features. This mapping technique is only successful with highly favorable systems and in particular requires that the cloud coverage must be lower than the Earth's average. Our test case of a 2 M ⊕ planet at 7pc distance with low exo-zodiacal light and 25% cloud coverage produced crude, but successful results. Additionally, with these highly favorable systems NWO may be able to discern the presence of liquid surface water (or other smooth surfaces) though it requires a complex detection available only at crescent phases in high inclination systems. © 2009. The American Astronomical Society. All rights reserved.

Cite

CITATION STYLE

APA

Oakley, P. H. H., & Cash, W. (2009). Construction of an earth model: Analysis of exoplanet light curves and mapping the next earth with the new worlds observer. Astrophysical Journal, 700(2), 1428–1439. https://doi.org/10.1088/0004-637X/700/2/1428

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free