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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Published in | EAS publications series Vol. 42; pp. 169 - 173 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
EDP Sciences
2010
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Abstract | 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. |
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AbstractList | 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. We investigte bises in the mesurement of exoplnet orbitl prmeters - especilly eccentricity - from rdil velocity (RV) observtions. In this contribution we consider single-plnet systems. We crete mock ctlog of RV dt, choosing plnet msses nd orbitl periods, nd observing ptterns to mimic those of ctul RV surveys. Using Mrkov chin Monte Crlo (MCMC) simultions, we generte posterior smple for ech mock dt set, clculte best-fit orbitl prmeters for ech dt set, nd compre these to the true vlues. We find tht the precision of our derived eccentricities is most closely relted to the effective signl-to-noise rtio, , where K is the velocity mplitude, s is the effective single-mesurement precision, nd N is the number of observtions. We lso find tht eccentricities of plnets on nerly circulr (e<0.05) orbits re preferentilly overestimted. While the Butler et l. (2006) ctlog reports e<0.05 for just 20% of its plnets, we estimte tht the true frction of e<0.05 orbits is bout 50%. We investigte the ccurcy, precision, nd bis of lterntive sets of summry sttistics nd find tht the medin vlues of nd (where w is the longitude of peripse) of the posterior smple typiclly provide more ccurte, more precise, nd less bised estimtes of eccentricity thn trditionl mesures. |
Author | Pan, M. Zakamska, N. L. Ford, E. B. |
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Cites_doi | 10.1086/590926 10.1086/590047 10.1006/icar.2001.6786 10.1086/504701 10.1126/science.274.5289.954 10.1088/0004-6256/135/3/1008 10.1086/500802 10.1086/303738 10.1146/annurev.astro.45.051806.110529 10.1086/590548 |
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Editor | Niedzielski, A. Goździewski, K. Schneider, J. |
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References | Lin (R6) 1997; 477 Rasio (R8) 1996; 274 Udry (R10) 2007; 45 Jurić (R5) 2008; 686 Marzari (R7) 2002; 156 Butler (R1) 2006; 646 Shen (R9) 2008; 685 Ford (R2) 2008; 686 Ford (R4) 2008; 124 Ford (R3) 2006; 642 |
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Snippet | We investigate biases in the measurement of exoplanet orbital parameters – especially eccentricity – from radial velocity (RV) observations. In this... We investigte bises in the mesurement of exoplnet orbitl prmeters - especilly eccentricity - from rdil velocity (RV) observtions. In this contribution we... |
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Title | Observational biases in determining extrasolar planet eccentricities |
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