Chasing the storm: Investigating the application of high-contrast imaging techniques in producing precise exoplanet light curves

(2025)

Authors:

Ben J Sutlieff, David S Doelman, Jayne L Birkby, Matthew A Kenworthy, Jordan M Stone, Frans Snik, Steve Ertel, Beth A Biller, Charles E Woodward, Andrew J Skemer, Jarron M Leisenring, Alexander J Bohn, Luke T Parker

Horizontal and vertical exoplanet thermal structure from a JWST spectroscopic eclipse map

Nature Astronomy Nature Research (2025) 1-12

Authors:

Ryan C Challener, Megan Weiner Mansfield, Patricio E Cubillos, Anjali AA Piette, Louis-Philippe Coulombe, Hayley Beltz, Jasmina Blecic, Emily Rauscher, Jacob L Bean, Björn Benneke, Eliza M-R Kempton, Joseph Harrington, Thaddeus D Komacek, Vivien Parmentier, SL Casewell, Nicolas Iro, Luigi Mancini, Matthew C Nixon, Michael Radica, Maria E Steinrueck, Luis Welbanks, Natalie M Batalha, Claudio Caceres, Ian JM Crossfield, Nicolas Crouzet, Jean-Michel Désert, Karan Molaverdikhani, Nikolay K Nikolov, Enric Palle, Benjamin V Rackham, Everett Schlawin, David K Sing, Kevin B Stevenson, Xianyu Tan, Jake D Turner, Xi Zhang

Abstract:

Highly irradiated giant exoplanets known ‘ultrahot Jupiters’ are anticipated to exhibit large variations of atmospheric temperature and chemistry as a function of longitude, latitude and altitude. Previous observations have hinted at these variations, but the existing data have been fundamentally restricted to probing hemisphere-integrated spectra, thereby providing only coarse information on atmospheric gradients. Here we present a spectroscopic eclipse map of an extrasolar planet, resolving the atmosphere in multiple dimensions simultaneously. We analyse a secondary eclipse of the ultrahot Jupiter WASP-18b observed with the Near Infrared Imager and Slitless Spectrograph instrument on the JWST. The mapping reveals weaker longitudinal temperature gradients than were predicted by theoretical models, indicating the importance of hydrogen dissociation and/or nightside clouds in shaping global thermal emission. In addition, we identify two thermally distinct regions of the planet’s atmosphere: a ‘hotspot’ surrounding the substellar point and a ‘ring’ near the dayside limbs. The hotspot region shows a strongly inverted thermal structure due to the presence of optical absorbers and a water abundance marginally lower than the hemispheric average, in accordance with theoretical predictions. The ring region shows colder temperatures and poorly constrained chemical abundances. Similar future analyses will reveal the three-dimensional thermal, chemical and dynamical properties of a broad range of exoplanet atmospheres.

The Lunar Trailblazer Lunar Thermal Mapper Instrument

(2025)

Authors:

Neil E Bowles, Bethany L Ehlmann, Rory Evans, Tristram Warren, Henry Hall Eshbaugh, Greg King, Waqas Mir, Namrah Habib, Katherine A Shirley, Fraser Clarke, Cyril Bourgenot, Chris Howe, Keith Nowicki, Fiona Henderson, Christopher Scott Edwards, Rachel Louise Pillar Klima, Kerri L Donaldson Hanna, Calina Seybold, Andrew Klesh, David Ray Thompson, Elise Furlan, Elena Scire, Judy Adler, Nicholas Elkington, Aria Vitkova, Jon Temple, Simon Woodward

Barotropic instability

Chapter in , Elsevier (2025)

Authors:

Peter Read, Timothy Dowling

Abstract:

Barotropic instability represents a class of instabilities, usually of parallel shear flows, for which gravity and buoyancy play a negligible role, at least in their energetics. It is not restricted to purely barotropic fluids (for which ρ = ρ(p), where ρ is density and p is pressure) but can also apply to flows which are stratified and exhibit vertical shear, often leading to instabilities with mixed barotropic and baroclinic characteristics. The primary attribute of barotropic instability is usually taken to be the dominance of energy exchanges in which the kinetic energy of a perturbation grows principally at the expense of the kinetic energy of the basic state. Here we present an introduction to the basic mechanisms involved and the factors that determine the necessary and/or sufficient conditions for instability. Several examples are presented and the occurrence and subsequent nonlinear evolution of the instability is illustrated with reference to both laboratory experiments and observations in the atmospheres and oceans of the Earth and other planets in the Solar System.

Machine learning spectral clustering techniques: Application to Jovian clouds from Juno/JIRAM and JWST/NIRSpec

Astronomy & Astrophysics EDP Sciences 701 (2025) ARTN A247

Authors:

F Biagiotti, Ln Fletcher, D Grassi, Mt Roman, G Piccioni, A Mura, I de Pater, T Fouchet, Mh Wong, R Hueso, O King, H Melin, J Harkett, S Toogood, Pgj Irwin, F Tosi, A Adriani, G Sindoni, C Plainaki, R Sordini, R Noschese, A Cicchetti, G Orton, P Rodriguez-Ovalle, Gl Bjoraker, S Levin, C Li, S Bolton

Abstract:

We present a new method, based on a joint application of a principal component analysis (PCA) and Gaussian mixture models (GMM), to automatically find similar groups of spectra in a collection. We applied the method (condensed in the public code chopper.py ) to archival Jupiter spectral data in the 2–5 µm range collected by NASA Juno/JIRAM in its first perijove passage (August 2016) and to mosaics of the great red spot (GRS) acquired by JWST/NIRSpec (July 2022). Using JIRAM data analyzed in previous work, we show that using a PCA+GMM clustering can increase the efficiency of the retrieval stage without any loss of accuracy in terms of the retrieved parameters. We show that a PCA+GMM approach is able to automatically identify spectra of known regions of interest (e.g., belts, zones, GRS) belonging to different clusters. The application of the method to the NIRSpec data leads to detection of substructures inside the GRS, which appears to be composed of an outer halo characterized by low reflectivity and an inner brighter main oval. By applying these techniques to JIRAM data, we were able to identify the same substructure. We remark that these new structures have not been seen before at visible wavelengths. In both cases, the spectra belonging to the inner oval have solar and thermal signals comparable to those belonging to the halo, but they present broadened 2.73 µm solar-reflected peaks. Performing forward simulations with the NEMESIS radiative transfer suite, we propose that the broadening may be caused by differences in the vertical extension of the main cloud layer. This finding is consistent with recent 3D fluid dynamics simulations.