Atmospheres & Climate

Characterising the Atmosphere of 55 Cancri e: 1D Forward Model Grid for Current and Future JWST Observations

By Keith Cowing
Status Report
astro-ph.EP
March 26, 2025
Filed under , , , , , , , , , , ,
Characterising the Atmosphere of 55 Cancri e: 1D Forward Model Grid for Current and Future JWST Observations
The black spectrum represents the best-fitting total emission spectrum of 55 Cancri e from our results. The coloured spectra show individual contributions of the strongest opacities in the model, PO (blue), CO2 (green), and PN (purple). The faint grey spectra represent blackbody emission for heat redistribution values of f = 1.0 (substellar temperature), f = 2/3 (dayside-confined), and f = 1/4 (global redistribution), with the equilibrium temperature labelled above each corresponding curve. The spectrum is fitted to the Eureka! reduction of the JWST observations from (Hu et al. 2024) (NIRCam and MIRI/LRS). The NIRCam absolute flux is not constrained, allowing the data to shift. A depth of 79 ppm is used in the figure. The last two points of MIRI (dark red) represent the ’shadow region’ of the data. The model assumes heat redistribution coefficient f = 1/4 (global redistribution). The legend in the upper right denotes the calculated χ 2 values for the combined MIRI + NIRCam fit (Full), as well as for the individual NIRCam and MIRI fits to the black spectrum. Overlaid on the spectrum are the two Spitzer (red) observations from (Demory et al. 2016). The upper-left inset shows the temperature profile as well as volume mixing ratios of the major absorbers. The lower inset is a zoom in of the 6-8 µm region highlighting the absorption overlap of additional species: SO2, PN, and PS. — astro-ph.EP

Recent JWST observations with NIRCam and MIRI of the ultra-short-period super-Earth 55 Cancri e indicate a possible volatile atmosphere surrounding the planet. Previous analysis of the NIRCam spectra suggested potential absorption features from CO2 or CO and significant sub-weekly variability.

The MIRI low-resolution spectrum does not contain substantial features but was found to be consistent with effective heat redistribution models. In this work, we computed a grid of over 25000 self-consistent 1D forward models incorporating H-N-O-C-S-P-Si-Ti equilibrium chemistry and assessed plausible atmospheric compositions based on the current JWST data. Despite exhaustive analysis, the composition and properties of the atmosphere remain elusive.

While our results statistically favour a global, hydrogen-free, nitrogen-dominated atmosphere enriched in PO and CO2, various alternative compositions, including H2O, CO, PH3, or Si-bearing remain viable explanations. Unconstrained heat redistribution efficiency and absolute NIRCam flux are among the largest sources of uncertainty in our analysis.

We also find that the heat redistribution factor and surface pressure are highly degenerate with atmospheric composition, and that these parameters cannot be independently constrained using current JWST observations. Furthermore, we show that the observed variability may arise from dynamic interactions between the atmosphere and an underlying magma ocean, driving rapid shifts in atmospheric chemistry and thermal emission.

Our results highlight the importance of using self-consistent forward models when analysing novel JWST spectra with limited signal-to-noise ratios — such as those of 55 Cancri e — as it allows for a more comprehensive evaluation of potential atmospheric scenarios while also being less sensitive to subtle spectral differences than retrievals…

Mantas Zilinskas, Christiaan van Buchem, Sebastian Zieba, Yamila Miguel, Emily Sandford, Renyu Hu, Jayshil Patel, Aaron Bello-Arufe, Leoni Janssen, Shang-Min Tsai, Diana Dragomir, Michael Zhang

Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM)
Cite as: arXiv:2503.15844 [astro-ph.EP] (or arXiv:2503.15844v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2503.15844
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Submission history
From: Mantas Zilinskas
[v1] Thu, 20 Mar 2025 04:54:41 UTC (13,750 KB)
https://arxiv.org/abs/2503.15844
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