Observational biases in determining extrasolar planet eccentricities in single-planet systems
Nadia L. Zakamska (1), Margaret Pan (1,2), Eric B. Ford (3) ((1) IAS,, (2) UCBerkeley, (3) UFlorida)

TL;DR
This study examines biases in measuring exoplanet eccentricities from radial velocity data, revealing overestimations for nearly circular orbits and providing recommendations for more accurate population analyses.
Contribution
It introduces a mock data approach to identify biases in eccentricity measurements and suggests using the mode of the posterior distribution to reduce bias.
Findings
Eccentricities of nearly circular planets are overestimated by 1-2 times the median uncertainty.
The true fraction of planets with eccentricity below 0.05 is about 38%, higher than previous estimates.
Using the mode of the posterior distribution minimizes bias in population studies.
Abstract
We investigate potential biases in the measurements of exoplanet orbital parameters obtained from radial velocity observations for single-planet systems. We create a mock catalog of radial velocity data, choosing input planet masses, periods, and observing patterns from actual radial velocity surveys and varying input eccentricities. We apply Markov Chain Monte Carlo (MCMC) simulations and compare the resulting orbital parameters to the input values. We find that a combination of the effective signal-to-noise ratio of the data, the maximal gap in phase coverage, and the total number of periods covered by observations is a good predictor of the quality of derived orbit parameters. As eccentricity is positive definite, we find that eccentricities of planets on nearly circular orbits are preferentially overestimated, with typical bias of 1-2 times the median eccentricity uncertainty in a…
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