Uniform Reanalysis of JWST MIRI 15{\mu}m Exoplanet Eclipse Observations using Frame-Normalized Principal Component Analysis
Nicholas J. Connors, Christopher Monaghan, Bj\"orn Benneke, Lisa Dang

TL;DR
This paper introduces a new frame-normalized PCA technique to analyze JWST MIRI 15 micron exoplanet eclipse data, systematically identifying instrument systematics and improving data reduction for atmospheric characterization.
Contribution
We developed FN-PCA for uniform analysis of JWST MIRI data, revealing detector systematics and establishing a systematic model applicable across datasets.
Findings
Identified common detector systematics in 17 observations.
Characterized the ramp effect and its relation to target magnitude.
Derived an exponential model for detector settling time.
Abstract
JWST MIRI 15 micron time-series eclipse photometry presents a powerful way to probe for the presence of atmospheres on low-temperature rocky exoplanets orbiting nearby stars. Here, we introduce a novel technique, frame-normalized principal component analysis (FN-PCA) to analyze and detrend these MIRI time-series observations. Using the FN-PCA technique, we perform a uniform reanalysis of the published MIRI 15 micron observations of LHS 1478 b, TOI-1468 b, LHS 1140 c, TRAPPIST-1 b, and TRAPPIST-1 c using our new data reduction pipeline (Erebus) and compare them to different potential atmospheric and surface compositions. We also investigate additional public data sets with the sole purpose of understanding the instrument systematics affecting MIRI. We identify and categorize important detector-level systematics in the observations that are generally present across all 17 analyzed eclipse…
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