The Orbit and Transit Prospects for $\beta$ Pictoris b constrained with One Milliarcsecond Astrometry
Jason J. Wang, James R. Graham, Laurent Pueyo, Paul Kalas, Maxwell A., Millar-Blanchaer, Jean-Baptiste Ruffio, Robert J. De Rosa, S. Mark Ammons,, Pauline Arriaga, Vanessa P. Bailey, Travis S. Barman, Joanna Bulger, Adam S., Burrows, Andrew Cardwell, Christine H. Chen

TL;DR
This paper introduces a Bayesian astrometry method called BKA that accurately measures exoplanet positions with milliarcsecond precision, improving orbit constraints and ruling out transits for $eta$ Pictoris b.
Contribution
The paper presents BKA, a novel Bayesian technique that models exoplanet signals accounting for observational and data reduction biases, achieving sub-milliarcsecond accuracy.
Findings
BKA outperforms previous astrometry methods in precision.
The orbit of $eta$ Pic b is tightly constrained, ruling out transits.
The Hill sphere of $eta$ Pic b will transit, enabling circumplanetary environment studies.
Abstract
A principal scientific goal of the Gemini Planet Imager (GPI) is obtaining milliarcsecond astrometry to constrain exoplanet orbits. However, astrometry of directly imaged exoplanets is subject to biases, systematic errors, and speckle noise. Here we describe an analytical procedure to forward model the signal of an exoplanet that accounts for both the observing strategy (angular and spectral differential imaging) and the data reduction method (Karhunen-Lo\`eve Image Projection algorithm). We use this forward model to measure the position of an exoplanet in a Bayesian framework employing Gaussian processes and Markov chain Monte Carlo (MCMC) to account for correlated noise. In the case of GPI data on Pic b, this technique, which we call Bayesian KLIP-FM Astrometry (BKA), outperforms previous techniques and yields 1-errors at or below the one milliarcsecond level. We…
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