Article (Scientific journals)
Panchromatic characterization of the Y0 brown dwarf WISEP J173835.52+273258.9 using JWST/MIRI
Vasist, Malavika Vijayendra; Mollière, P.; Kühnle, H. et al.
2025In Astronomy and Astrophysics, 703, p. 70
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Keywords :
brown dwarfs; instrumentation: spectrographs; methods: observational; planets and satellites: atmospheres; stars: atmospheres; Brown dwarfs; Instrumentation:spectrographs; Methods:observational; Mid infrared instruments; Near infrared spectrograph; NH 3; Physical parameters; Planets and satellites: atmospheres; Stars: atmosphere; Wide field cameras; Astronomy and Astrophysics; Space and Planetary Science; astro-ph.EP; astro-ph.SR
Abstract :
[en] Context. Cold brown dwarf atmospheres provide a good training ground for the analysis of atmospheres of temperate giant planets. WISEP J173835.52+273258.9 (WISE 1738) is an isolated cold brown dwarf and a Y0 spectral standard with a temperature between 350-400 K, lying at the boundary of the T-Y transition. Although its atmosphere has been extensively studied in the near-infrared, its bulk physical parameters and atmospheric chemistry and dynamics are not well understood. Aims. Using a Mid-Infrared Instrument (MIRI) medium-resolution spectrum (5-18 μm), combined with near-infrared spectra (0.982.2 μm) from Hubble Space Telescope’s (HST) Wide Field Camera 3 (WFC3) and Gemini Observatory’s Near-Infrared Spectrograph (GNIRS), we aim to accurately characterize the atmospheric chemistry and bulk physical parameters of WISE 1738. Methods. We perform a combined atmospheric retrieval on the MIRI, GNIRS, and WFC3 spectra using a machine learning algorithm called Neural Posterior Estimation (NPE) assuming a cloud-free model implemented using petitRADTRANS. We demonstrate how this combined retrieval approach ensures robust constraints on the abundances of major atmospheric species, the pressure-temperature (P-T) profile, bulk C/O, and metallicity [M/H], along with bulk physical properties such as effective temperature, radius, surface gravity, mass, and luminosity. We estimate 1D and 2D marginal posterior distributions for the constrained parameters and evaluate our results using several qualitative and quantitative Bayesian diagnostics, including Local Classifier 2-Sample Test (L-C2ST), coverage, and posterior predictive checks. Results. The combined atmospheric retrieval confirms previous constraints on H2O, CH4, NH3, and for the first time provides constraints on CO, CO2, and 15NH3. It also gives better constraints on the physical parameters and the P-T profile while also revealing potential biases in characterizing objects using data from limited wavelength ranges. The retrievals further suggest the presence of disequilibrium chemistry, as evidenced by the constrained abundances of CO and CO2, which are otherwise expected to be depleted and hence not visible beyond the near-infrared wavelengths under equilibrium conditions. We estimate the physical parameters of the object as follows: an effective temperature of 402−9+12 K, surface gravity (log g) of 4.43−0.34+0.26 cm s−2, mass of 13−7+11 MJup, radius of 1.14−0.03+0.03 RJup , and a bolometric luminosity of −6.52−0.04+0.05 log L/L⊙. Based on these values, the evolutionary models suggest an age between 1 and 4 Gyr, which is consistent with a high rotation rate of 6 h of the brown dwarf. We further obtain an upper bound on the 15NH3 abundance, enabling a 3σ lower bound calculation of the 14N/15N ratio = 275, unable to interpret the formation pathway as core collapse. Additionally, we calculate a C/O ratio of 1.35−0.31+0.39 and a metallicity of 0.34−0.11+0.12 without considering any oxygen sequestration effects.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Vasist, Malavika Vijayendra  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Planetary & Stellar systems Imaging Laboratory
Mollière, P. ;  Max-Planck-Institut für Astronomie (MPIA), Heidelberg, Germany
Kühnle, H. ;  ETH Zürich, Institute for Particle Physics and Astrophysics, Zürich, Switzerland
Patapis, P. ;  ETH Zürich, Institute for Particle Physics and Astrophysics, Zürich, Switzerland
Absil, Olivier  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO)
Louppe, Gilles  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Big Data
Lagage, P.-O.;  Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM, France
Waters, L.B.F.M. ;  Department of Astrophysics, IMAPP, Radboud University, Nijmegen, Netherlands ; HFML - FELIX, Radboud University, Nijmegen, Netherlands ; SRON Netherlands Institute for Space Research, Leiden, Netherlands
Güdel, M. ;  ETH Zürich, Institute for Particle Physics and Astrophysics, Zürich, Switzerland ; Department of Astrophysics, University of Vienna, Vienna, Austria
Henning, Th ;  Max-Planck-Institut für Astronomie (MPIA), Heidelberg, Germany
Vandenbussche, B. ;  Institute of Astronomy, KU Leuven, Leuven, Belgium
Barrado, D. ;  CSIC-INTA, Centro de Astrobiología (CAB), Villanueva de la Cañada, Spain
Decin, L. ;  Institute of Astronomy, KU Leuven, Leuven, Belgium
Pye, J.P. ;  School of Physics & Astronomy, Space Park Leicester, University of Leicester, Leicester, United Kingdom
Tremblin, P. ;  Université Paris-Saclay, UVSQ, CNRS, CEA, Maison de la Simulation, Gif-sur-Yvette, France
Whiteford, N. ;  Department of Astrophysics, American Museum of Natural History, New York, United States
More authors (6 more) Less
Language :
English
Title :
Panchromatic characterization of the Y0 brown dwarf WISEP J173835.52+273258.9 using JWST/MIRI
Publication date :
November 2025
Journal title :
Astronomy and Astrophysics
ISSN :
0004-6361
eISSN :
1432-0746
Publisher :
EDP Sciences
Volume :
703
Pages :
A70
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
This project has received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation program (grant agreements No. 819155), and from the WalloniaBrussels Federation (grant for Concerted Research Actions). Computational resources have been provided by the Consortium des \u00C9quipements de Calcul Intensif (C\u00C9CI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region. JPP acknowledges financial support from the UK Science and Technology Facilities Council, and the UK Space Agency; along with the Spain Ministry of Science, Innovation/State Agency of Research MCIN/AEI/10.13039/501100011033, Grant No. PID2023-150468NB-I00.This project has received funding from the European Research Council (ERC) under the European Union\u2019s Horizon 2020 research and innovation program (grant agreements No. 819155), and from the Wallonia-Brussels Federation (grant for Concerted Research Actions). Computational resources have been provided by the Consortium des \u00C9quipements de Calcul Intensif (C\u00C9CI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region. JPP acknowledges financial support from the UK Science and Technology Facilities Council, and the UK Space Agency; along with the Spain Ministry of Science, Innovation/State Agency of Research MCIN/AEI/10.13039/501100011033, Grant No. PID2023-150468NB-I00.
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