Observational biases in determining extrasolar planet eccentricities

We investigate biases in the measurement of exoplanet orbital parameters – especially eccentricity – from radial velocity (RV) observations. In this contribution we consider single-planet systems. We create a mock catalog of RV data, choosing planet masses and orbital periods, and observing patterns...

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Bibliographic Details
Published inEAS publications series Vol. 42; pp. 169 - 173
Main Authors Pan, M., Zakamska, N. L., Ford, E. B.
Format Journal Article
LanguageEnglish
Published EDP Sciences 2010
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Summary:We investigate biases in the measurement of exoplanet orbital parameters – especially eccentricity – from radial velocity (RV) observations. In this contribution we consider single-planet systems. We create a mock catalog of RV data, choosing planet masses and orbital periods, and observing patterns to mimic those of actual RV surveys. Using Markov chain Monte Carlo (MCMC) simulations, we generate a posterior sample for each mock data set, calculate best-fit orbital parameters for each data set, and compare these to the true values. We find that the precision of our derived eccentricities is most closely related to the effective signal-to-noise ratio, K√N/σ, where K is the velocity amplitude, σ is the effective single-measurement precision, and N is the number of observations. We also find that eccentricities of planets on nearly circular (e<0.05) orbits are preferentially overestimated. While the Butler et al.  (2006) catalog reports e<0.05 for just 20% of its planets, we estimate that the true fraction of e<0.05 orbits is about 50%. We investigate the accuracy, precision, and bias of alternative sets of summary statistics and find that the median values of h = esinω and k = ecosω (where ω is the longitude of periapse) of the posterior sample typically provide more accurate, more precise, and less biased estimates of eccentricity than traditional measures.
Bibliography:istex:40EE5D1EC738B505DEE1B8EAC69BEF5F328A407C
publisher-ID:eas1042018
PII:S1633476042000181
ark:/67375/80W-GDFLG47B-G
other:2010EAS....42..169P
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1633-4760
1638-1963
DOI:10.1051/eas/1042018