Repeatability of Spitzer/IRAC exoplanetary eclipses with Independent Component Analysis
Giuseppe Morello, Ingo P. Waldmann, Giovanna Tinetti

TL;DR
This paper introduces a wavelet-based Independent Component Analysis method to improve the repeatability of exoplanetary eclipse measurements from Spitzer/IRAC data, demonstrating stable results over multiple observations.
Contribution
The paper presents a novel wavelet pixel-ICA technique that enhances the analysis of low-S/N Spitzer data for exoplanet eclipses, improving reproducibility and accuracy.
Findings
Consistent eclipse depth measurements within 1 sigma over three years.
Wavelet pixel-ICA extends applicability to low-S/N data.
Photometry stability at 1 part in 10^4 in stellar flux.
Abstract
The research of effective and reliable detrending methods for Spitzer data is of paramount importance for the characterization of exoplanetary atmospheres. To date, the totality of exoplanetary observations in the mid- and far-infrared, at wavelengths 3 m, have been taken with Spitzer. In some cases, in the past years, repeated observations and multiple reanalyses of the same datasets led to discrepant results, raising questions about the accuracy and reproducibility of such measurements. Morello et al. 2014, 2015 proposed a blind-source separation method based on the Independent Component Analysis of pixel time series (pixel-ICA) to analyze IRAC data, obtaining coherent results when applied to repeated transit observations previously debated in the literature. Here we introduce a variant to pixel-ICA through the use of wavelet transform, wavelet pixel-ICA, which extends its…
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.
