The Kepler Pixel Response Function
Stephen T. Bryson, Peter Tenenbaum, Jon M. Jenkins, Hema, Chandrasekaran, Todd Klaus, Douglas A. Caldwell, Ronald L. Gilliland, Michael, R. Haas, Jessie L. Dotson, David G. Koch, William J. Borucki

TL;DR
The paper details the Kepler pixel response function (PRF), a model combining optical, jitter, and systematic effects, enabling precise photometry and stellar positioning crucial for detecting Earth-like exoplanets.
Contribution
It introduces a polynomial-based, sub-pixel resolution PRF model for Kepler, improving star flux estimation and position accuracy across the field of view.
Findings
PRF enables optimal pixel selection for maximum SNR.
PRF-fitted centroids improve stellar position accuracy.
PRF modeling is essential for high-precision Kepler photometry.
Abstract
Kepler seeks to detect sequences of transits of Earth-size exoplanets orbiting Solar-like stars. Such transit signals are on the order of 100 ppm. The high photometric precision demanded by Kepler requires detailed knowledge of how the Kepler pixels respond to starlight during a nominal observation. This information is provided by the Kepler pixel response function (PRF), defined as the composite of Kepler's optical point spread function, integrated spacecraft pointing jitter during a nominal cadence and other systematic effects. To provide sub-pixel resolution, the PRF is represented as a piecewise-continuous polynomial on a sub-pixel mesh. This continuous representation allows the prediction of a star's flux value on any pixel given the star's pixel position. The advantages and difficulties of this polynomial representation are discussed, including characterization of spatial…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
