2015
DOI: 10.1088/0004-637x/805/2/132
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SPITZERSECONDARY ECLIPSES OF THE DENSE, MODESTLY-IRRADIATED, GIANT EXOPLANET HAT-P-$20{\rm b}$ USING PIXEL-LEVEL DECORRELATION

Abstract: HAT-P-20b is a giant metal-rich exoplanet orbiting a metal-rich star. We analyze two secondary eclipses of the planet in each of the 3.6 and 4.5 μm bands of Warm Spitzer. We have developed a simple, powerful, and radically different method to correct the intra-pixel effect for Warm Spitzer data, which we call pixel-level decorrelation (PLD). PLD corrects the intra-pixel effect very effectively, but without explicitly using-or even measuring-the fluctuations in the apparent position of the stellar image. We ill… Show more

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Cited by 271 publications
(341 citation statements)
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References 53 publications
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“…A usual method is to detrend the measured flux from the X/Y position of the centroid, using quadratic order polynomial functions. In the past years, several studies (Ballard et al 2010;Stevenson et al 2012;Lewis et al 2013;Deming et al 2014) have employed novel techniques that improved the mitigation of the intra-pixel sensitivity in Spitzer/IRAC 3.6 and 4.5µm channels.…”
Section: Intra-pixel Sensitivity Correctionmentioning
confidence: 99%
“…A usual method is to detrend the measured flux from the X/Y position of the centroid, using quadratic order polynomial functions. In the past years, several studies (Ballard et al 2010;Stevenson et al 2012;Lewis et al 2013;Deming et al 2014) have employed novel techniques that improved the mitigation of the intra-pixel sensitivity in Spitzer/IRAC 3.6 and 4.5µm channels.…”
Section: Intra-pixel Sensitivity Correctionmentioning
confidence: 99%
“…We correct for this effect using pixellevel decorrelation (PLD), as described by Deming et al (2015). This method models the variation in flux intensity in each image due to this instrumental effect by tracking the change in intensity over time within a small box of pixels centered on the flux-weighted centroid.…”
Section: Instrumental Noise Model and Optimal Aperture Selectionmentioning
confidence: 99%
“…We divide the flux in each individual pixel by the summed flux across all 9pixels, weighting each pixel by its contribution to the flux and thereby isolating the instrument noise from astrophysical signals(see Deming et al 2015), and werepeat this operation for each image in our photometric time series. We also incorporate a constant and a linear term in time to model baseline instrument noise.…”
Section: Instrumental Noise Model and Optimal Aperture Selectionmentioning
confidence: 99%
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“…During the modeling, the orbital period of HAT-P-20b is fixed to the value derived by Granata et al (2014), and the search intervals of u 1 and u 2 are set to (u 1c −0.05, u 1c +0.05) and (0.1, 0.3), respectively, where u 1c denotes the values interpolated from Claret (2000Claret ( , 2004's table based on the stellar parameters derived by Bakos et al (2011). The Gaussian penalties of e and ω are set to the best estimations and uncertainties of Deming et al (2015) derived from simultaneously modeling transits, secondary eclipses, and radial velocity data of HAT-P-20, through which the most accurate e and ω could be obtained. We check the posterior probability distributions of several main transit parameters and confirm the convergence of the solution through the fact that the majority of these models have similar distributions for these parameters.…”
Section: Initial Analysismentioning
confidence: 99%