1977
DOI: 10.1086/130139
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Observational Selection in Binary-Star Eccentricities

Abstract: Observational selection effects on the distribution of eccentricities in binary-star orbits are examined by monitoring the selection of orbits from a randomly generated sample. Selection effects fully explain the difference between predicted and observed eccentricity distributions.

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Cited by 9 publications
(11 citation statements)
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“…Previous observations of spectroscopic (Duquennoy & Mayor 1991) and visual (Harrington & Miranian 1977) solar-type binaries have indicated a thermal eccentricity distribution. However, these studies recovered the thermal eccentricity distribution only after applying large and uncertain correction factors for incompleteness.…”
Section: Eb Trendsmentioning
confidence: 92%
“…Previous observations of spectroscopic (Duquennoy & Mayor 1991) and visual (Harrington & Miranian 1977) solar-type binaries have indicated a thermal eccentricity distribution. However, these studies recovered the thermal eccentricity distribution only after applying large and uncertain correction factors for incompleteness.…”
Section: Eb Trendsmentioning
confidence: 92%
“…Harrington & Miranian (1977) demonstrate that it is relatively more difficult to measure the orbital elements of VBs that have large eccentricities e0.7. A subsample of VBs that have reliable orbital solutions is therefore biased toward smaller eccentricities.…”
Section: Definitionsmentioning
confidence: 98%
“…As discussed in Section 2, catalogs of VBs with reliable orbital solutions are biased against systems with large eccentricities (Harrington & Miranian 1977;Tokovinin & Kiyaeva 2016). We can nonetheless use VB orbit catalogs to measure a lower limit to the power-law slope η of the eccentricity distribution.…”
Section: Eccentricity Distributionmentioning
confidence: 99%
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“…Such an orbit would be difficult to observe at just the right times needed for a good fit and would also appear to be less appealing for continued monitoring. Harrington & Miranian (1977) investigated this bias by generating 10 3 random orbits and classifying the expected quality of the orbit fit by eye, relying on their extensive experience working with such astrometric data. Such an ad hoc method is necessary because in the marginal cases of visual binary orbit fitting the process of χ 2 minimization is highly nonlinear and strongly dependent on the initial guess.…”
Section: Selecting a Minimally Biased Samplementioning
confidence: 99%