Identification and Mitigation of a Vibrational Telescope Systematic with Application to Spitzer
Ryan C. Challener (1), Joseph Harrington (1), James Jenkins (2, 3),, Nicol\'as T. Kurtovic (2), Ricardo Ramirez (2), Kathleen J. McIntyre (1),, Michael D. Himes (1), Eloy Rodr\'iguez (4), Guillem Anglada-Escud\'e (5),, Stefan Dreizler (6), Aviv Ofir (7)

TL;DR
This study identifies a vibrational systematic in Spitzer IRAC data affecting transit observations, and introduces an adaptive elliptical-aperture photometry method to mitigate this issue, improving data quality.
Contribution
The paper presents a novel adaptive elliptical-aperture photometry technique to remove vibrational systematics in Spitzer data, outperforming traditional circular apertures in reducing noise.
Findings
Vibrational systematics correlate with the point-response function width.
Elliptical aperture photometry reduces residuals and correlated noise.
The method can be applied to other telescopes and observations.
Abstract
We observed Proxima Centauri with the Spitzer Space Telescope InfraRed Array Camera (IRAC) five times in 2016 and 2017 to search for transits of Proxima Centauri b. Following standard analysis procedures, we found three asymmetric, transit-like events that are now understood to be vibrational systematics. This systematic is correlated with the width of the point-response function (PRF), which we measure with rotated and non-rotated Gaussian fits with respect to the detecor array. We show that the systematic can be removed with a novel application of an adaptive elliptical-aperture photometry technique, and compare the performance of this technique with fixed and variable circular-aperture photometry, using both BiLinearly Interpolated Subpixel Sensitivity (BLISS) maps and non-binned Pixel-Level Decorrelation (PLD). With BLISS maps, elliptical photometry results in a lower standard…
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