2011
DOI: 10.1088/0067-0049/197/2/26
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Retired a Stars and Their Companions. Vii. 18 New Jovian Planets

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Cited by 156 publications
(128 citation statements)
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“…5.4. In addition to β Pic b (orange square) and the HR 8799 planets (red circles), the giant planets detected around old A stars by Johnson et al (2010bJohnson et al ( , 2011 of separation and planet mass. Extreme AO data will determine if the transition from a flat or rising population of close orbit planets to a declining population of wide orbit planets is smooth or discontinuous and may discover a peak in the separation distribution.…”
Section: Fig 10mentioning
confidence: 99%
See 1 more Smart Citation
“…5.4. In addition to β Pic b (orange square) and the HR 8799 planets (red circles), the giant planets detected around old A stars by Johnson et al (2010bJohnson et al ( , 2011 of separation and planet mass. Extreme AO data will determine if the transition from a flat or rising population of close orbit planets to a declining population of wide orbit planets is smooth or discontinuous and may discover a peak in the separation distribution.…”
Section: Fig 10mentioning
confidence: 99%
“…The results of RV surveys of the evolved counterparts of A-stars (Johnson et al 2007) have also provided intriguing results (Johnson et al 2010b;Bowler et al 2010a;Johnson et al 2011), with significant differences in the planet population compared to RV-detected exoplanets around lower mass stars. Statistical analysis of the results clearly shows a higher frequency of planets around more massive stars and larger masses for the detected planets .…”
Section: Introductionmentioning
confidence: 99%
“…However, some recent programs have been monitoring also more massive stars, such as evolved subgiants and giants (e.g., Hatzes et al 2006;Döllinger et al 2009;Niedzielski et al 2009;Johnson et al 2011;Sato et al 2013) as well as A-F-type mainsequence stars (e.g., Galland et al 2005;Guenther et al 2009;Hartmann et al 2010;Borgniet et al 2014). One of our targets was the roAp star HD 42659.…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…To make this dichotomy more quantitative we performed a decomposition by Gaussian mixture models. The parameter space of two Gaussian mixture models was explored using a Markov Chain Monte Carlo simulation and a maximum-likelihood approach to define the best-fit parameters (for details on the code see Nataf et al 2011, for an in-depth explanation of MCMCs see Johnson et al 2011b). The chosen confidence level is 68%.…”
Section: Bright and Faint Sample Starsmentioning
confidence: 99%