2022
DOI: 10.3847/1538-3881/ac6261
|View full text |Cite
|
Sign up to set email alerts
|

A New Analysis of Eight Spitzer Phase Curves and Hot Jupiter Population Trends: Qatar-1b, Qatar-2b, WASP-52b, WASP-34b, and WASP-140b

Abstract: With over 30 phase curves observed during the warm Spitzer mission, the complete data set provides a wealth of information relating to trends and three-dimensional properties of hot Jupiter atmospheres. In this work we present a comparative study of seven new Spitzer phase curves for four planets with equilibrium temperatures T eq ∼ 1300K: Qatar-2b, WASP-52b, WASP-34b, and WASP-140b, as well as a reanalysis of the 4.5 μm Qatar-1b phase curve due to the similar equilibrium temperature. In tota… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 16 publications
(14 citation statements)
references
References 94 publications
(128 reference statements)
0
9
0
Order By: Relevance
“…Extracting exoplanets signals at the level of 100 parts per million (ppm) can be therefore extremely challenging and requires the removal of significant instrumental effects (for a review, see Ingalls et al 2016). Over the past decade, improvements in observing strategy and development of a suite of techniques to remove IRAC time-correlated noise have yielded robust thermal phase curves for many short-period exoplanets (May et al 2022). However, in addition to the challenges of observing small planets, the 55 Cnc e Spitzer data are particularly complicated to analyze:…”
Section: Introductionmentioning
confidence: 99%
“…Extracting exoplanets signals at the level of 100 parts per million (ppm) can be therefore extremely challenging and requires the removal of significant instrumental effects (for a review, see Ingalls et al 2016). Over the past decade, improvements in observing strategy and development of a suite of techniques to remove IRAC time-correlated noise have yielded robust thermal phase curves for many short-period exoplanets (May et al 2022). However, in addition to the challenges of observing small planets, the 55 Cnc e Spitzer data are particularly complicated to analyze:…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, repeated MIRI LRS observations would likely not be able to place an improved upper limit on the thickness variations. May & Stevenson 2020;May et al 2022). This systematic error is likely the source of the discrepancy between our individual and semi-shared fits of the 2014 data, and those of the 2019 data.…”
Section: Reanalyses Of Wasp-43b's 45 Micron Phase Curvementioning
confidence: 80%
“…To date, there have been no published observing programs designed to search for phase curve variability at medium infrared wavelengths, such as those probed by Spitzer/IRAC. Repeated phase curve observations have been taken using Spitzer to help correct the strong systematics that are often present in 3.6 μm data (e.g., WASP-12b (Bell et al 2019), WASP-76b (May et al 2021), and WASP-52b (May et al 2022)) and to measure low-amplitude phase curve signals (e.g., K2-141b (Zieba et al 2022)), but it is difficult to probe variability with these data sets. Repeat phase curve observations at medium infrared wavelengths present a bridge between existing constraints on variability, and a new test on the variable nature of hot Jupiter atmospheres.…”
Section: Introductionmentioning
confidence: 99%
“…Longitudinal heat circulations for individual hot Jupiters are best studied using thermal infrared phase curves, the studies of which have been extensive (e.g., Knutson et al 2007Knutson et al , 2012Wong et al 2015;Stevenson et al 2017;Kreidberg et al 2018;Bell et al 2021;Dang et al 2022;May et al 2022). Phase curves can delineate emergent flux over the full range of planetary longitude, whereas eclipses yield only the dayside flux.…”
Section: Emergent Fluxes and Dayside Temperaturementioning
confidence: 99%