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## User: robert-t-zellem

### Title: A Comprehensive Reanalysis of Spitzer's 4.5 $μ$m Phase Curves, and the Phase Variations of the Ultra-hot Jupiters MASCARA-1b and KELT-16b

We have developed an open-source, modular pipeline for the analysis of
Spitzer/IRAC channel 1 and 2 time series photometry, incorporating some of the
most popular decorrelation methods. We applied this pipeline to new phase curve
observations of ultra-hot Jupiters MASCARA-1b and KELT-16b, and we have
performed the first comprehensive reanalysis of 15 previously published phase
curves. We find that MASCARA-1b and KELT-16b have phase offsets of
$1^{+12}{-11}~^{\circ}$W and $30^{+13}{-13}~^{\circ}$W, dayside temperatures
of $3017^{+92}{-90}$ K and $3030^{+150}{-140}$ K, and nightside temperatures
of $1260^{+400}{-360}$ K and $1520^{+410}{-360}$ K, respectively. The Bond
albedos of KELT-16b and MASCARA-1b are poorly constrained but are consistent
with zero, and both planets show minimal recirculation. We confirm a strong
correlation between dayside and irradiation temperatures, a shallow dependency
of nightside temperature on irradiation temperature, and a correlation between
Bond albedo and planetary surface gravity. We also find correlations between
phase curve amplitude, orbital period, and phase offset consistent with
previous predictions. In addition, while our different decorrelation models
often retrieve similar parameters, significant differences occasionally arise
between our models, as well as between our preferred model and the literature
values. Nevertheless, our preferred models are consistent with published phase
offsets to within $1\pm16$ degrees ($0.6\pm2.5$ sigma), and phase curve
amplitudes are on average reproduced to within $0.02\pm0.19$ ($0.27\pm4.9$
sigma). Finally, we find that BLISS performs best in most cases, but not all;
we therefore recommend future phase curve analyses consider a wide range of
detector models to ensure an optimal fit and to assess the dependence of phase
curve parameters on the decorrelation model used.

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The first result in this paper provides a very general $\epsilon$-removal argument for the multilinear restriction estimate. The second result …