Published February 23, 2023 | Version Published + Supplemental Material
Journal Article Open

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec G395H

Creators

  • 1. ROR icon University of Bristol
  • 2. ROR icon Carnegie Institution for Science
  • 3. ROR icon Ames Research Center
  • 4. ROR icon Utah Valley University
  • 5. ROR icon Harvard-Smithsonian Center for Astrophysics
  • 6. ROR icon University of Amsterdam
  • 7. ROR icon University of Kansas
  • 8. ROR icon Jet Propulsion Lab
  • 9. ROR icon Princeton University
  • 10. ROR icon Space Telescope Science Institute
  • 11. ROR icon Johns Hopkins University
  • 12. ROR icon Cornell University
  • 13. ROR icon National Institute of Science Education and Research
  • 14. ROR icon California Institute of Technology
  • 15. ROR icon University of Bern
  • 16. ROR icon Max Planck Institute for Astronomy
  • 17. ROR icon University of Montreal
  • 18. ROR icon University of California, Santa Cruz
  • 19. ROR icon University of Chicago
  • 20. ROR icon University of Colorado Boulder
  • 21. ROR icon University College London
  • 22. ROR icon Goddard Space Flight Center
  • 23. ROR icon Trinity College Dublin
  • 24. ROR icon Arizona State University
  • 25. ROR icon Ludwig-Maximilians-Universität München
  • 26. ROR icon Excellence Cluster Origins
  • 27. ROR icon University of Arizona
  • 28. ROR icon Instituto de Astrofísica de Canarias
  • 29. ROR icon University of La Laguna
  • 30. ROR icon Osservatorio Astronomico di Palermo
  • 31. ROR icon Space Science Institute
  • 32. ROR icon Johns Hopkins University Applied Physics Laboratory
  • 33. ROR icon University of Oxford
  • 34. ROR icon Indian Institute of Technology Indore
  • 35. ROR icon University of Warwick
  • 36. ROR icon The Open University
  • 37. ROR icon Bay Area Environmental Research Institute
  • 38. ROR icon New York University Abu Dhabi
  • 39. ROR icon University of Leicester
  • 40. ROR icon University of St Andrews
  • 41. ROR icon Leiden University
  • 42. ROR icon Osservatorio Astrofisico di Torino
  • 43. ROR icon Space Research Institute
  • 44. ROR icon KU Leuven
  • 45. ROR icon University of Central Florida
  • 46. ROR icon University of Vienna
  • 47. ROR icon University of Maryland, College Park
  • 48. ROR icon Imperial College London
  • 49. ROR icon Laboratory of Astrophysics of Bordeaux
  • 50. ROR icon University of Geneva
  • 51. ROR icon University of Michigan–Ann Arbor
  • 52. ROR icon University of Rome Tor Vergata
  • 53. ROR icon University of Exeter
  • 54. ROR icon Netherlands Institute for Space Research
  • 55. ROR icon Observatoire de la Côte d'Azur
  • 56. ROR icon Lagrange Laboratory
  • 57. ROR icon Massachusetts Institute of Technology
  • 58. ROR icon Wesleyan University
  • 59. ROR icon University of Cambridge
  • 60. ROR icon Maison de la Simulation
  • 61. ROR icon Planetary Science Institute
  • 62. ROR icon French National Centre for Scientific Research

Abstract

Measuring the abundances of carbon and oxygen in exoplanet atmospheres is considered a crucial avenue for unlocking the formation and evolution of exoplanetary systems. Access to the chemical inventory of an exoplanet requires high-precision observations, often inferred from individual molecular detections with low-resolution space-based and high-resolution ground-based facilities. Here we report the medium-resolution (R ≈ 600) transmission spectrum of an exoplanet atmosphere between 3 and 5 μm covering several absorption features for the Saturn-mass exoplanet WASP-39b (ref.), obtained with the Near Infrared Spectrograph (NIRSpec) G395H grating of JWST. Our observations achieve 1.46 times photon precision, providing an average transit depth uncertainty of 221 ppm per spectroscopic bin, and present minimal impacts from systematic effects. We detect significant absorption from CO2 (28.5σ) and H2O (21.5σ), and identify SO2 as the source of absorption at 4.1 μm (4.8σ). Best-fit atmospheric models range between 3 and 10 times solar metallicity, with sub-solar to solar C/O ratios. These results, including the detection of SO2, underscore the importance of characterizing the chemistry in exoplanet atmospheres and showcase NIRSpec G395H as an excellent mode for time-series observations over this critical wavelength range.

Additional Information

© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. This work is based on observations made with the NASA/ESA/CSA JWST. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for the JWST. These observations are associated with programme JWST-ERS-01366. Support for programme JWST-ERS-01366 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127. L.A. acknowledges funding from STFC grant ST/W507337/1 and from the University of Bristol School of Physics PhD Scholarship Fund. Contributions. All authors played a substantial role in one or more of the following: development of the original proposal, management of the project, definition of the target list and observation plan, analysis of the data, theoretical modelling and preparation of this manuscript. Some specific contributions are listed as follows. N.M.B., J.L.B. and K.B.S. provided overall programme leadership and management. L.A. and H.R.W. led the efforts for this manuscript. D.K.S., E.M.-R.K., H.R.W., I.J.M.C., J.L.B., K.B.S., L.K., M.L.-M., M.R.L., N.M.B., V.P. and Z.K.B.-T. made notable contributions to the design of the programme. K.B.S. generated the observing plan, with input from the team. E.S. and N.E. provided instrument expertise. B.B., E.M.-R.K., H.R.W., I.J.M.C., J.L.B., L.K., M.L.-M., M.R.L., N.M.B. and Z.K.B.-T. led or co-led working groups and/or contributed to important strategic planning efforts, such as the design and implementation of the prelaunch Data Challenges. A.L.C., D.K.S., E.S., N.E., N.P.G. and V.P. generated simulated data for prelaunch testing of methods. L.A., H.R.W., M.K.A., N.E.B. and J.D.L. contributed substantially to the writing of this manuscript, along with contributions in Methods from J.A.R., S.B., M.D., N.E., L.F., J.M.G., D.G., J.I., T.M.-E., P.-A.R. and N.L.W. L.A., H.R.W., M.K.A., J.A.R., S.B., M.D., N.E., L.F., D.G., J.I., T.M.-E., P.-A.R. and N.L.W. contributed to the development of data-analysis pipelines and/or provided the data-analysis products used in this analysis, that is, reduced the data, modelled the light curves and/or produced the planetary spectrum, with further contributions from J.Brande, T.D. and L.R.-R. J.D.L., N.E.B., J.M.G., E.K.H.L. and R.H. generated theoretical model grids for comparison with data. H.R.W., J.D.L. and N.E.B. generated figures for this manuscript. M.L.-M., K.D.C., N.P.G., L.K., M.L., J.I.M. and E.S. provided substantial feedback to the manuscript, coordinating comments from all other authors. T.D. is a LSSTC Catalyst Fellow, N.H.A. and A.D.F. are NSF Graduate Research Fellows, J.Kirk is an Imperial College Research Fellow, R.J.M., M.M., D.P., J.D.T. and L.W. are NHFP Sagan Fellows and B.V.R. is a 51 Pegasi b Fellow. Data availability. The data used in this paper are associated with JWST programme ERS 1366 (observation #4) and are available from the Mikulski Archive for Space Telescopes (MAST; https://mast.stsci.edu). Science data processing version (SDP_VER) 2022_2a generated the uncalibrated data that we downloaded from MAST. We used JWST Calibration Pipeline software version (CAL_VER) 1.5.3 with modifications described in the text. We used calibration reference data from context (CRDS_CTX) 0916, except as noted in the text. All the data and models presented in this publication can be found at https://doi.org/10.5281/zenodo.7185300. Code availability. The codes used in this publication to extract, reduce and analyse the data are as follows; STScI JWST Calibration Pipeline44 (https://github.com/spacetelescope/jwst), Eureka!50 (https://eurekadocs.readthedocs.io/en/latest/), ExoTiC-JEDI45 (https://github.com/Exo-TiC/ExoTiC-JEDI), juliet68 (https://juliet.readthedocs.io/en/latest/), Tiberius15,46,47, transitspectroscopy48 (https://github.com/nespinoza/transitspectroscopy). Furthermore, these made use of batman62 (http://lkreidberg.github.io/batman/docs/html/index.html), celerite83 (https://celerite.readthedocs.io/en/stable/), chromatic (https://zkbt.github.io/chromatic/), dynesty69 (https://dynesty.readthedocs.io/en/stable/index.html), emcee66 (https://emcee.readthedocs.io/en/stable/), exoplanet80 (https://docs.exoplanet.codes/en/latest/), ExoTEP72,73,74, ExoTHETyS76 (https://github.com/ucl-exoplanets/ExoTETHyS), ExoTiC-ISM54 (https://github.com/Exo-TiC/ExoTiC-ISM), ExoTiC-LD55 (https://exotic-ld.readthedocs.io/en/latest/), george65 (https://george.readthedocs.io/en/latest/), JAX79 (https://jax.readthedocs.io/en/latest/), LMFIT67 (https://lmfit.github.io/lmfit-py/), PyLightcurve75 (https://github.com/ucl-exoplanets/pylightcurve), PyMC3 (ref. 132) (https://docs.pymc.io/en/v3/index.html) and Starry81 (https://starry.readthedocs.io/en/latest/), each of which use the standard Python libraries astropy133,134, matplotlib135, numpy136, pandas137, scipy61 and xarray138. The atmospheric models used to fit the data can be found at ATMO85,86,87,88, PHOENIX89,90,91, PICASO95,96 (https://natashabatalha.github.io/picaso/), Virga95,104 (https://natashabatalha.github.io/virga/) and gCMCRT109 (https://github.com/ELeeAstro/gCMCRT). The authors declare no competing interests.

Attached Files

Published - s41586-022-05591-3.pdf

Supplemental Material - 41586_2022_5591_Fig10_ESM.jpg

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Additional details

Identifiers

Eprint ID
122499
Resolver ID
CaltechAUTHORS:20230725-857476000.75

Funding

NASA
NAS 5-03127
NASA
JWST-ERS-01366
Science and Technology Facilities Council (STFC)
ST/W507337/1
University of Bristol

Dates

Created
2023-08-18
Created from EPrint's datestamp field
Updated
2023-08-18
Created from EPrint's last_modified field