2013
DOI: 10.1088/0004-637x/764/1/8
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APOSTLE: 11 TRANSIT OBSERVATIONS OF TrES-3b

Abstract: The Apache Point Survey of Transit Lightcurves of Exoplanets (APOSTLE) observed eleven transits of TrES-3b over two years in order to constrain system parameters and look for transit timing and depth variations. We describe an updated analysis protocol for APOSTLE data, including the reduction pipeline, transit model and Markov Chain Monte Carlo analyzer. Our estimates of the system parameters for TrES-3b are consistent with previous estimates to within the 2σ confidence level. We improved the errors (by 10-30… Show more

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Cited by 17 publications
(42 citation statements)
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“…The large aperture of the system and frametransfer capabilities of Agile allow us to obtain high-precision (500 ppm rms) relative photometry between R = 10.8 th and R = 10.8 th magnitude stars (XO-2; Kundurthy et al 2013a), decreasing to 700 ppm at R = 12.2 versus R = 12.9 (TrES-3; Kundurthy et al 2013b), and 1000 ppm at R = 13.8 versus R = 13.6 (GJ 1214; Kundurthy et al 2011). Importantly, these observations happen at 100% duty cycle due to Agile's frametransfer capabilities.…”
Section: Apostle Programmentioning
confidence: 99%
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“…The large aperture of the system and frametransfer capabilities of Agile allow us to obtain high-precision (500 ppm rms) relative photometry between R = 10.8 th and R = 10.8 th magnitude stars (XO-2; Kundurthy et al 2013a), decreasing to 700 ppm at R = 12.2 versus R = 12.9 (TrES-3; Kundurthy et al 2013b), and 1000 ppm at R = 13.8 versus R = 13.6 (GJ 1214; Kundurthy et al 2011). Importantly, these observations happen at 100% duty cycle due to Agile's frametransfer capabilities.…”
Section: Apostle Programmentioning
confidence: 99%
“…Importantly, these observations happen at 100% duty cycle due to Agile's frametransfer capabilities. We make use of the MultiTransitQuick modeling program described in Kundurthy et al (2013b), which uses a Markov Chain Monte Carlo (MCMC) analyzer alongside a light-curve parameterization that minimizes degeneracies between fitted parameters, ensuring that the MCMC proceeds efficiently and faithfully samples parameter space.…”
Section: Apostle Programmentioning
confidence: 99%
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