Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Diversity in the haziness and chemistry of temperate sub-Neptunes

Abstract

Recent transit observations of K2-18 b and TOI-270 d revealed strong molecular absorption signatures, lending credence to the idea that temperate sub-Neptunes (equilibrium temperature Teq = 250–400 K) have upper atmospheres mostly free of aerosols. These observations also indicated higher-than-expected CO2 abundances on both planets, implying bulk compositions with high water mass fractions. However, it remains unclear whether these findings hold true for all temperate sub-Neptunes. Here we present the JWST NIRSpec/PRISM 0.7–5.4-μm transmission spectrum of a third temperate sub-Neptune, the 2.4 R planet LP 791-18 c (Teq = 355 K), which is even more favourable for atmospheric characterization thanks to its small M6 host star. Intriguingly, despite the radius, mass and equilibrium temperature of LP 791-18 c being between those of K2-18 b and TOI-270 d, we find a drastically different transmission spectrum. Although we also detect methane on LP 791-18 c, its transit spectrum is dominated by strong haze scattering and there is no discernible CO2 absorption. Overall, we infer a deep metal-enriched atmosphere (246–415 times solar) for LP 791-18 c, with a CO2-to-CH4 ratio smaller than 0.07 (at 2σ), indicating less H2O in the deep envelope of LP 791-18 c and implying a relatively dry formation inside the water-ice line. These results show that sub-Neptunes that are near analogues in density and temperature can show drastically different aerosols and envelope chemistry and are intrinsically diverse beyond a simple temperature dependence.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: JWST/NIRSpec PRISM broadband and spectrophotometric light-curve fits of the LP 791-18 c transit observation.
The alternative text for this image may have been generated using AI.
Fig. 2: JWST NIRSpec/PRISM transmission spectra of the temperate sub-Neptune LP 791-18 c.
The alternative text for this image may have been generated using AI.
Fig. 3: Measured atmospheric properties of LP 791-18 c.
The alternative text for this image may have been generated using AI.
Fig. 4: Diversity in sub-Neptune transmission spectra.
The alternative text for this image may have been generated using AI.

Similar content being viewed by others

Data availability

The data used in this work are publicly available in the Mikulski Archive for Space Telescopes (https://archive.stsci.edu/) under guaranteed time observation 1201 (principal investigator D.L.) and can be easily accessed via https://doi.org/10.17909/c8z7-r590. Data products needed to reproduce all figures are also available via Zenodo at https://doi.org/10.5281/zenodo.17316562 (ref. 92).

Code availability

The code needed to reproduce all figures is available via Zenodo at https://doi.org/10.5281/zenodo.17316562 (ref. 92). This research made use of the Astropy93,94,95, Matplotlib96, NumPy97 and SciPy98 Python packages. The open-source codes that were used throughout this work are listed below: batman (https://github.com/lkreidberg/batman), emcee (https://emcee.readthedocs.io/en/stable/), nestle (http://kylebarbary.com/nestle/), Eureka! (https://eurekadocs.readthedocs.io/en/latest/), ExoTEDRF (https://exotedrf.readthedocs.io/en/latest/) and VULCAN (https://github.com/exoclime/VULCAN).

References

  1. Crossfield, I. J. M. et al. A super-Earth and sub-Neptune transiting the late-type M dwarf LP 791-18. Astrophys. J. Lett. 883, L16 (2019).

    Article  ADS  Google Scholar 

  2. Jakobsen, P. et al. The near-infrared spectrograph (NIRSpec) on the James Webb Space Telescope. I. Overview of the instrument and its capabilities. Astron. Astrophys. 661, A80 (2022).

    Article  Google Scholar 

  3. Birkmann, S. M. et al. The near-infrared spectrograph (NIRSpec) on the James Webb Space Telescope. IV. Capabilities and predicted performance for exoplanet characterization. Astron. Astrophys. 661, A83 (2022).

    Article  Google Scholar 

  4. Peterson, M. S. et al. A temperate Earth-sized planet with tidal heating transiting an M6 star. Nature 617, 701–705 (2023).

  5. Montet, B. T. et al. Stellar and planetary properties of K2 campaign 1 candidates and validation of 17 planets, including a planet receiving Earth-like insolation. Astrophys. J. 809, 25 (2015).

    Article  ADS  Google Scholar 

  6. Cloutier, R. et al. Characterization of the K2-18 multi-planetary system with HARPS: a habitable zone super-Earth and discovery of a second, warm super-Earth on a non-coplanar orbit. Astron. Astrophys. 608, A35 (2017).

    Article  Google Scholar 

  7. Benneke, B. et al. Spitzer observations confirm and rescue the habitable-zone super-Earth K2-18b for future characterization. Astrophys. J. 834, 187 (2017).

    Article  ADS  Google Scholar 

  8. Benneke, B. et al. Water vapor and clouds on the habitable-zone sub-Neptune exoplanet K2-18b. Astrophys. J. Lett. 887, L14 (2019).

    Article  ADS  Google Scholar 

  9. Madhusudhan, N. et al. Carbon-bearing molecules in a possible hycean atmosphere. Astrophys. J. Lett. 956, L13 (2023).

    Article  ADS  MathSciNet  Google Scholar 

  10. Wogan, N. F. et al. JWST Observations of K2-18b can be explained by a gas-rich mini-Neptune with no habitable surface. Astrophys. J. Lett. 963, L7 (2024).

    Article  ADS  Google Scholar 

  11. Shorttle, O., Jordan, S., Nicholls, H., Lichtenberg, T. & Bower, D. J. Distinguishing oceans of water from magma on mini-Neptune K2-18b. Astrophys. J. Lett. 962, L8 (2024).

    Article  ADS  Google Scholar 

  12. Benneke, B. et al. JWST Reveals CH4, CO2, and H2O in a metal-rich miscible atmosphere on a two-Earth-radius exoplanet. Preprint at http://arxiv.org/abs/2403.03325 (2024).

  13. Yu, X., Moses, J. I., Fortney, J. J. & Zhang, X. How to identify exoplanet surfaces using atmospheric trace species in hydrogen-dominated atmospheres. Astrophys. J. 914, 38 (2021).

    Article  ADS  Google Scholar 

  14. Hu, R. et al. Unveiling shrouded oceans on temperate sub-Neptunes via transit signatures of solubility equilibria versus gas thermochemistry. Astrophys. J. Lett. 921, L8 (2021).

    Article  ADS  Google Scholar 

  15. Madhusudhan, N., Piette, A. A. A. & Constantinou, S. Habitability and biosignatures of hycean worlds. Astrophys. J. 918, 1 (2021).

    Article  ADS  Google Scholar 

  16. Kite, E. S., Fegley Jr, B., Schaefer, L. & Ford, E. B. Atmosphere origins for exoplanet sub-Neptunes. Astrophys. J. 891, 111 (2020).

    Article  ADS  Google Scholar 

  17. Brande, J. et al. Clouds and clarity: revisiting atmospheric feature trends in Neptune-size exoplanets. Astrophys. J. Lett. 961, L23 (2024).

    Article  ADS  Google Scholar 

  18. Mahajan, A. S., Eastman, J. D. & Kirk, J. Using JWST transits and occultations to determine 1% stellar radii and temperatures of low-mass stars. Astrophys. J. Lett. 963, L37 (2024).

    Article  ADS  Google Scholar 

  19. Gao, P. et al. The hazy and metal-rich atmosphere of GJ 1214 b constrained by near- and mid-infrared transmission spectroscopy. Astrophys. J. 951, 96 (2023).

    Article  ADS  Google Scholar 

  20. Schlawin, E. et al. Possible carbon dioxide above the thick aerosols of GJ 1214 b. Astrophys. J. Lett. 974, L33 (2024).

    Article  ADS  Google Scholar 

  21. Ohno, K. et al. A possible metal-dominated atmosphere below the thick aerosols of GJ 1214 b suggested by its JWST panchromatic transmission spectrum. Astrophys. J. Lett. 979, L7 (2025).

    Article  ADS  Google Scholar 

  22. Kempton, E. M.-R. et al. A framework for prioritizing the TESS planetary candidates most amenable to atmospheric characterization. Publ. Astron. Soc. Pac. 130, 114401 (2018).

    Article  ADS  Google Scholar 

  23. Bell, T. J. et al. Eureka!: an end-to-end pipeline for JWST time-series observations. J. Open Source Softw. 7, 4503 (2022).

    Article  ADS  Google Scholar 

  24. Benneke, B. et al. A sub-Neptune exoplanet with a low-metallicity methane-depleted atmosphere and Mie-scattering clouds. Nat. Astron. 3, 813–821 (2019).

    Article  ADS  Google Scholar 

  25. Carter, A. L. et al. A benchmark JWST near-infrared spectrum for the exoplanet WASP-39 b. Nat. Astron. 8, 1008–1019 (2024).

  26. Howard, W. S. et al. Characterizing the near-infrared spectra of flares from TRAPPIST-1 during JWST transit spectroscopy observations. Astrophys. J. 959, 64 (2023).

    Article  ADS  Google Scholar 

  27. Béky, B., Kipping, D. M. & Holman, M. J. SPOTROD: a semi-analytic model for transits of spotted stars. Mon. Not. R. Astron. Soc. 442, 3686–3699 (2014).

    Article  ADS  Google Scholar 

  28. Holmberg, M. & Madhusudhan, N. Possible hycean conditions in the sub-Neptune TOI-270 d. Astron. Astrophys. 683, L2 (2024).

    Article  ADS  Google Scholar 

  29. Hu, R. et al. A water-rich interior in the temperate sub-Neptune K2-18 b revealed by JWST. Preprint at http://arxiv.org/abs/2507.12622 (2025).

  30. Rackham, B. V., Apai, D. & Giampapa, M. S. The transit light source effect: false spectral features and incorrect densities for M-dwarf transiting planets. Astrophys. J. 853, 122 (2018).

    Article  ADS  Google Scholar 

  31. Rackham, B. V., Apai, D. & Giampapa, M. S. The transit light source effect. II. The impact of stellar heterogeneity on transmission spectra of planets orbiting broadly Sun-like stars. Astron. J. 157, 96 (2019).

    Article  ADS  Google Scholar 

  32. Schmidt, S. P. et al. A comprehensive reanalysis of K2-18 b’s JWST NIRISS+NIRSpec transmission spectrum. Astron. J. 170, 298 (2025).

  33. Passegger, V. M. et al. The compact multi-planet system GJ 9827 revisited with ESPRESSO. Astron. Astrophys. 684, A22 (2024).

    Article  Google Scholar 

  34. Piaulet-Ghorayeb, C. et al. JWST/NIRISS reveals the water-rich steam world atmosphere of GJ 9827 d. Astrophys. J. Lett. 974, L10 (2024).

    Article  ADS  Google Scholar 

  35. Almenara, J. M. et al. GJ 3090 b: one of the most favourable mini-Neptune for atmospheric characterisation. Astron. Astrophys. 665, A91 (2022).

    Article  Google Scholar 

  36. Ahrer, E.-M. et al. Escaping helium and a highly muted spectrum suggest a metal-enriched atmosphere on sub-Neptune GJ 3090 b from JWST transit spectroscopy. Astrophys. J. Lett. 985, L10 (2025).

    Article  ADS  Google Scholar 

  37. Owen, J. E. & Wu, Y. The evaporation valley in the Kepler planets. Astrophys. J. 847, 29 (2017).

    Article  ADS  Google Scholar 

  38. Jackson, A. P., Davis, T. A. & Wheatley, P. J. The coronal X-ray–age relation and its implications for the evaporation of exoplanets: X-ray–age relation and exoplanet evaporation. Mon. Not. R. Astron. Soc. 422, 2024–2043 (2012).

    Article  ADS  Google Scholar 

  39. Yang, J. & Hu, R. Chemical mapping of temperate sub-Neptune atmospheres: constraining the deep interior H2O/H2 ratio from the atmospheric CO2/CH4 ratio. Astrophys. J. Lett. 971, L48 (2024).

    Article  ADS  Google Scholar 

  40. Morley, C. V. et al. Thermal emission and reflected light spectra of super Earths with flat transmission spectra. Astrophys. J. 815, 110 (2015).

    Article  ADS  Google Scholar 

  41. Gao, P. et al. Aerosol composition of hot giant exoplanets dominated by silicates and hydrocarbon hazes. Nat. Astron. 4, 951–956 (2020).

    Article  ADS  Google Scholar 

  42. Waite, J. H. et al. The process of tholin formation in Titan’s upper Atmosphere. Science 316, 870–875 (2007).

    Article  ADS  Google Scholar 

  43. Robinson, T. D., Maltagliati, L., Marley, M. S. & Fortney, J. J. Titan solar occultation observations reveal transit spectra of a hazy world. Proc. Natl Acad. Sci. USA 111, 9042–9047 (2014).

    Article  ADS  Google Scholar 

  44. Hu, R., Seager, S. & Bains, W. Photochemistry in terrestrial exoplanet atmospheres. II. H2S and SO2 photochemistry in anoxic atmospheres. Astrophys. J. 769, 6 (2013).

    Article  ADS  Google Scholar 

  45. Miller-Ricci Kempton, E., Zahnle, K. & Fortney, J. J. The atmospheric chemistry of GJ 1214b: photochemistry and clouds. Astrophys. J. 745, 3 (2012).

    Article  ADS  Google Scholar 

  46. Moses, J. I. et al. Compositional diversity in the atmospheres of hot Neptunes, with application to GJ 436b. Astrophys. J. 777, 34 (2013).

    Article  ADS  Google Scholar 

  47. Powell, D. & Zhang, X. Two-dimensional models of microphysical clouds on hot Jupiters. I. Cloud properties. Astrophys. J. 969, 5 (2024).

    Article  ADS  Google Scholar 

  48. Sing, D. K. et al. A continuum from clear to cloudy hot-Jupiter exoplanets without primordial water depletion. Nature 529, 59–62 (2016).

    Article  ADS  Google Scholar 

  49. Mansfield, M. et al. A unique hot Jupiter spectral sequence with evidence for compositional diversity. Nat. Astron. 5, 1224–1232 (2021).

    Article  ADS  Google Scholar 

  50. Crossfield, I. J. M. & Kreidberg, L. Trends in atmospheric properties of Neptune-size exoplanets. Astron. J. 154, 261 (2017).

    Article  ADS  Google Scholar 

  51. Rustamkulov, Z. et al. Early release science of the exoplanet WASP-39b with JWST NIRSpec PRISM. Nature 614, 659–663 (2023).

    Article  ADS  Google Scholar 

  52. Horne, K. An optimal extraction algorithm for CCD spectroscopy. Publ. Astron. Soc. Pac. 98, 609 (1986).

    Article  ADS  Google Scholar 

  53. Radica, M. et al. Awesome SOSS: transmission spectroscopy of WASP-96b with NIRISS/SOSS. Mon. Not. R. Astron. Soc. 524, 835–856 (2023).

    Article  ADS  Google Scholar 

  54. Feinstein, A. D. et al. Early release science of the exoplanet WASP-39b with JWST NIRISS. Nature 614, 670–675 (2023).

    Article  ADS  Google Scholar 

  55. Radica, M. exoTEDRF: an exoplanet transit and eclipse data reduction framework. J. Open Source Softw. 9, 6898 (2024).

    Article  ADS  Google Scholar 

  56. Piaulet-Ghorayeb, C. et al. Strict limits on potential secondary atmospheres on the temperate rocky exo-Earth TRAPPIST-1 d. Astrophys. J. 989, 181 (2025).

    Article  ADS  Google Scholar 

  57. Lim, O. et al. Atmospheric reconnaissance of TRAPPIST-1 b with JWST/NIRISS: evidence for strong stellar contamination in the transmission spectra. Astrophys. J. Lett. 955, L22 (2023).

    Article  ADS  Google Scholar 

  58. Foreman-Mackey, D., Hogg, D. W., Lang, D. & Goodman, J. emcee : the MCMC hammer. Publ. Astron. Soc. Pac. 125, 306–312 (2013).

    Article  ADS  Google Scholar 

  59. Kreidberg, L. batman: basic transit model calculation in Python. Publ. Astron. Soc. Pac. 127, 1161–1165 (2015).

    Article  ADS  Google Scholar 

  60. Coulombe, L.-P., Roy, P.-A. & Benneke, B. Biases in exoplanet transmission spectra introduced by limb-darkening parametrization. Astron. J. 168, 227 (2024).

    Article  ADS  Google Scholar 

  61. Fournier-Tondreau, M. et al. Near-infrared transmission spectroscopy of HAT-P-18 b with NIRISS: disentangling planetary and stellar features in the era of JWST. Mon. Not. R. Astron. Soc. 528, 3354–3377 (2024).

    Article  ADS  Google Scholar 

  62. Espinoza, N., Kossakowski, D. & Brahm, R. juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems. Mon. Not. R. Astron. Soc. 490, 2262–2283 (2019).

    Article  ADS  Google Scholar 

  63. Speagle, J. S. DYNESTY: a dynamic nested sampling package for estimating Bayesian posteriors and evidences. Mon. Not. R. Astron. Soc. 493, 3132–3158 (2020).

    Article  ADS  Google Scholar 

  64. Husser, T.-O. et al. A new extensive library of PHOENIX stellar atmospheres and synthetic spectra. Astron. Astrophys. 553, A6 (2013).

    Article  Google Scholar 

  65. Benneke, B. Strict upper limits on the carbon-to-oxygen ratios of eight hot Jupiters from self-consistent atmospheric retrieval. Preprint at http://arxiv.org/abs/1504.07655 (2015).

  66. Roy, P.-A. et al. Is the hot, dense sub-Neptune TOI-824 b an exposed Neptune mantle? Spitzer detection of the hot dayside and reanalysis of the interior composition. Astrophys. J. 941, 89 (2022).

    Article  ADS  Google Scholar 

  67. Coulombe, L.-P. et al. A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b. Nature 620, 292–298 (2023).

    Article  ADS  Google Scholar 

  68. Roy, P.-A. et al. Water absorption in the transmission spectrum of the water world candidate GJ 9827 d. Astrophys. J. Lett. 954, L52 (2023).

    Article  ADS  Google Scholar 

  69. JWST User Documentation (JDox). Space Telescope Science Institute https://jwst-docs.stsci.edu/#gsc.tab=0 (2025).

  70. Skilling, J. Nested sampling. AIP Conf. Proc. 735, 395–405 (2004).

  71. Skilling, J. Nested sampling for general Bayesian computation. Bayesian Anal. 1, 833–859 (2006).

    Article  MathSciNet  Google Scholar 

  72. Feroz, F., Hobson, M. P. & Bridges, M. MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics. Mon. Not. R. Astron. Soc. 398, 1601–1614 (2009).

    Article  ADS  Google Scholar 

  73. Mukherjee, P., Parkinson, D. & Liddle, A. R. A nested sampling algorithm for cosmological model selection. Astrophys. J. 638, L51 (2006).

    Article  ADS  Google Scholar 

  74. Shaw, J. R., Bridges, M. & Hobson, M. P. Efficient Bayesian inference for multimodal problems in cosmology. Mon. Not. R. Astron. Soc. 378, 1365–1370 (2007).

    Article  ADS  Google Scholar 

  75. Constantinou, S. & Madhusudhan, N. VIRA: an exoplanet atmospheric retrieval framework for JWST transmission spectroscopy. Mon. Not. R. Astron. Soc. 530, 3252–3277 (2024).

    Article  ADS  Google Scholar 

  76. Welbanks, L. & Madhusudhan, N. On degeneracies in retrievals of exoplanetary transmission spectra. Astron. J. 157, 206 (2019).

    Article  ADS  Google Scholar 

  77. Hargreaves, R. J. et al. An accurate, extensive, and practical line list of methane for the HITEMP database. Astrophys. J. Suppl. Ser. 247, 55 (2020).

    Article  ADS  Google Scholar 

  78. Polyansky, O. L. et al. ExoMol molecular line lists. XXX. A complete high-accuracy line list for water. Mon. Not. R. Astron. Soc. 480, 2597–2608 (2018).

    Article  ADS  Google Scholar 

  79. Yurchenko, S. N., Mellor, T. M., Freedman, R. S. & Tennyson, J. ExoMol line lists. XXXIX. Ro-vibrational molecular line list for CO2. Mon. Not. R. Astron. Soc. 496, 5282–5291 (2020).

    Article  ADS  Google Scholar 

  80. Hargreaves, R. J. et al. Spectroscopic line parameters of NO, NO2, and N2O for the HITEMP database. J. Quant. Spectrosc. Radiat. Transf. 232, 35–53 (2019).

    Article  ADS  Google Scholar 

  81. Coles, P. A., Yurchenko, S. N. & Tennyson, J. ExoMol molecular line lists. XXXV. A rotation-vibration line list for hot ammonia. Mon. Not. R. Astron. Soc. 490, 4638–4647 (2019).

    Article  ADS  Google Scholar 

  82. Azzam, A. A. A., Tennyson, J., Yurchenko, S. N. & Naumenko, O. V. ExoMol molecular line lists/ XVI. The rotation-vibration spectrum of hot H2S. Mon. Not. R. Astron. Soc. 460, 4063–4074 (2016).

    Article  ADS  Google Scholar 

  83. Underwood, D. S. et al. ExoMol molecular line lists. XIV. The rotation-vibration spectrum of hot SO2. Mon. Not. R. Astron. Soc. 459, 3890–3899 (2016).

    Article  ADS  Google Scholar 

  84. Welbanks, L., McGill, P., Line, M. & Madhusudhan, N. On the Application of Bayesian Leave-one-out Cross-validation to Exoplanet Atmospheric Analysis. Astron. J. 165, 112 (2023).

    Article  ADS  Google Scholar 

  85. Benneke, B. & Seager, S. Atmospheric retrieval for super-Earths: uniquely constraining the atmospheric composition with transmission spectroscopy. Astrophys. J. 753, 100 (2012).

    Article  ADS  Google Scholar 

  86. Tsai, S.-M. et al. Photochemically produced SO2 in the atmosphere of WASP-39b. Nature 617, 483–487 (2023).

    Article  ADS  Google Scholar 

  87. Radica, M. et al. Promise and peril: stellar contamination and strict limits on the atmosphere composition of TRAPPIST-1 c from JWST NIRISS transmission spectra. Astrophys. J. Lett. 979, L5 (2025).

    Article  ADS  Google Scholar 

  88. Tsai, S.-M. et al. VULCAN: an open-source, validated chemical kinetics Python code for exoplanetary atmospheres. Astrophys. J. Suppl. Ser. 228, 20 (2017).

    Article  ADS  Google Scholar 

  89. Davenport, B. et al. TOI-421 b: a hot sub-Neptune with a haze-free, low mean molecular weight atmosphere. Astrophys. J. Lett. 984, L44 (2025).

    Article  ADS  Google Scholar 

  90. Beatty, T. G. et al. Sulfur dioxide and other molecular species in the atmosphere of the sub-Neptune GJ 3470 b. Astrophys. J. Lett. 970, L10 (2024).

    Article  ADS  Google Scholar 

  91. Wallack, N. L. et al. JWST COMPASS: A NIRSpec/G395H transmission spectrum of the sub-Neptune TOI-836c. Astron. J. 168, 77 (2024).

    Article  ADS  Google Scholar 

  92. Roy, P.-A. et al. Repository of source data and scripts for paper ‘Diversity in the haziness and chemistry of temperate sub-Neptunes’ at Nature Astronomy. Zenodo https://doi.org/10.5281/zenodo.17316562 (2025).

  93. Astropy Collaboration Astropy: a community Python package for astronomy. Astron. Astrophys. 558, A33 (2013).

    Article  Google Scholar 

  94. Astropy Collaboration The Astropy project: building an open-science project and status of the v2.0 core package. Astron. J. 156, 123 (2018).

    Article  ADS  Google Scholar 

  95. Astropy Collaboration The Astropy project: sustaining and growing a community-oriented open-source project and the latest major release (v5.0) of the core package. Astrophys. J. 935, 167 (2022).

    Article  ADS  Google Scholar 

  96. Hunter, J. D. Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9, 90–95 (2007).

    Article  Google Scholar 

  97. Harris, C. R. et al. Array programming with NumPy. Nature 585, 357–362 (2020).

    Article  ADS  Google Scholar 

  98. Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261–272 (2020).

    Article  Google Scholar 

Download references

Acknowledgements

P.-A.R. and B.B. acknowledge financial support from the Natural Sciences and Engineering Research Council (NSERC) of Canada and from the Canadian Space Agency (Grant No. 23JWGO2A05). P.-A.R. and L.-P.C. acknowledge support from the University of Montreal and the Trottier Institute for Research on Exoplanets. B.B. also acknowledges financial support from the Fond de Recherche Québécois-Nature et Technologie. M.F.-T. acknowledges financial support from the Clarendon Fund Scholarship and the Fonds de Recherche du Québec–Nature et technologies. R.A. acknowledges support from the Swiss National Science Foundation (SNSF) under the Post-Doc Mobility grant P500PT_222212 and the support of the Institut Trottier de Recherche sur les Exoplanètes. N.B.C. acknowledges support from an NSERC Discovery Grant, a Tier 2 Canada Research Chair and an Arthur B. McDonald Fellowship. We thank the Trottier Space Institute and the Trottier Institute for Research on Exoplanets for their financial support and dynamic intellectual environment. L.D. is a Banting and Trottier Postdoctoral Fellow and acknowledges support from NSERC and the Trottier Family Foundation. D.J. is supported by NRC Canada and by an NSERC Discovery Grant. This project has been carried out within the framework of the National Centre of Competence in Research Planets supported by the SNSF (Grant No. 51NF40_205606). S.P. acknowledges financial support from the SNSF. R.J.M. is supported by NASA through the NASA Hubble Fellowship (Grant No. HST-HF2-51513.001), also awarded by the STScI, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA (Contract NAS 5-26555). J.T. acknowledges funding support from the TESS Guest Investigator Program G06165. C.P.-G. is a E. Margaret Burbridge Postdoctoral Fellow. R.A. is an SNSF Postdoctoral Fellow.

Author information

Authors and Affiliations

Authors

Contributions

P.-A.R. and B.B. led the writing of this paper. P.-A.R. carried out the data reduction. P.-A.R. performed the light-curve fitting with contributions from M.F.-T. The atmospheric analyses were performed by P.-A.R. C.P.-G. created the grid of stellar models used for the TLS analyses and provided important help and expertise regarding data reduction and TLS retrievals. B.B. supervised P.-A.R. in this project. D.L. led the observation programme and planned the observations presented in this work. All co-authors provided comments on and suggestions regarding the paper.

Corresponding author

Correspondence to Pierre-Alexis Roy.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Astronomy thanks the anonymous reviewers for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Extended data

Extended Data Fig. 1 Summary diagnostics measurements for the transit observation of LP 791-18 c.

a. Median-normalized white light curve of the transit observation of LP 791-18 c. The raw observations are shown in light grey with a binned version in black. b. Measured centre of the trace on the NIRSpec detector (light grey) with a binned version in blue. c. Measured width of the trace on the NIRSpec detector (light grey) with a binned version in orange. d. Measured displacement of the trace in the dispersion direction (light grey) with a binned version in green. e. Width of the cross-correlation peak for the measurement of the displacement in the dispersion direction (light grey) with a binned version in purple. f. Integrated Hα flux (in arbitrary flux units) over the time series (light grey) with a binned version in red. All diagnostics measurements are well-behaved.

Extended Data Fig. 2 Effect of different data reduction methods on the transmission spectrum of LP 791-18 c.

a. Zoom on the saturated region of the transmission spectra of the sub-Neptune LP 791-18 c (median values with 1σ error bars) obtained when considering the standard STScI saturation flags (red) or when expanding the flags to previous groups and neighboring pixels (grey). The number of groups (N) used as a function of wavelength is shown by the grey regions (in the standard STScI flags case). b. Transmission spectra of the sub-Neptune LP 791-18 c (median values with 1σ error bars) obtained when running the complete analysis from a standard stage 1 reduction with (blue) and without (orange) the NIN correction step. Residuals in the transit spectrum between the reductions with and without the NIN correction are shown in the bottom panel. The NIN correction step rectifies a wide trend in the transmission spectrum which is most important around 2 μm and decays towards longer wavelengths. The effect is similar to that observed in the case of TRAPPIST-1 g (Benneke et al., under review). c. Transmission spectra of the sub-Neptune LP 791-18 c (median values with 1σ error bars) obtained when using the light curves produced by the Eureka! (orange) and ExoTEDRF (green) reductions. Residuals in the transit spectrum between the Eureka! and ExoTEDRF reductions. The NIN correction is turned off in the Eureka! reduction (to isolate the difference between the two reduction pipelines). Both transmission spectra are in agreement.

Extended Data Fig. 3 Comparison of the treatment of the spot-crossing event.

a. Example light-curve fit using the Gaussian spot model. The top panel shows the systematics-corrected light-curve for the 0.90-0.92 μm bin with the best-fitting transit model with (red) and without (dotted black) the Gaussian spot model. The bottom panel shows the residuals with the best fitting model. The data is binned per 16 second increments for visual clarity. b. White-light-curve fit using the spotrod model. The top panel shows the systematics-corrected white-light curve with the best-fitting model, including the modelled spot crossing event. The bottom panel shows the residuals of the fit. Again, the data is shown in 16 s bins for clarity. c. Graphical representation of the spot crossing event inferred from the spotrod fit shown in b. d. Transmission spectra obtained from both methods using the same R=50 spectroscopic bins. Because of a slightly different set of orbital parameters used in the Spotrod spectroscopic fit, it is offset by 50 ppm. Both spectra are fully consistent within their displayed 1σ error bars, and show no systematic discrepant trends.

Extended Data Fig. 4 Parameter inference from the free chemistry retrieval.

Joint and marginalized posterior distributions of the atmosphere parameters obtained from the free chemistry retrieval.

Extended Data Fig. 5 Parameter inference from the chemically consistent retrieval with stellar contamination.

Joint and marginalized posterior distributions of the atmosphere parameters obtained from the chemically consistent retrieval with stellar spots contamination.

Extended Data Fig. 6 Calibrated stellar spectrum of LP791-18c and stellar models used for the TLS analyses.

a. Observed and flux-calibrated spectral energy distribution of LP 791-18 c (median values with 1σ error bars, the error bars are too small to see) compared to a Sphinx model (blue) and a Phoenix model (orange) adopting the stellar properties of LP 791-18. The Phoenix model is taken directly from the grid of Phoenix models used when evaluating the TLS contamination in the atmosphere retrievals. We find good overall agreement between the recovered stellar spectrum and the models. b. Residuals from the spectra shown in panel a. The overall agreement is good, but there are some discrepancies in the saturated region (grey) and at short wavelengths. c. Same as in panel a, but now showing the range of stellar models considered for the spots and faculae contamination in the atmosphere retrievals. The models used to assess TLS effects surround the observed SED of LP 791-18 (and largely cover the saturated/short-wavelength discrepancies between the observations and the models) and thus provide a reliable assessment of stellar contamination.

Extended Data Fig. 7 Grid exploration of the miscible envelope sub-Neptune scenario for LP791-18c.

a. Carbon dioxide-to-methane abundance ratio at 10 mbar for a grid of convective-radiative SCARLET models of LP 791-18 c for which vertical mixing was modelled using the VULCAN framework with a Kzz of 104 cm2/s. The colorbar is cut at log10CO2/CH4 values of +2.5 and − 2.5 in order to help visualize the transition from methane dominated to carbon dioxide dominated regimes. The 2σ upper bound on the carbon dioxide-to-methane abundance ratio derived from the free chemistry retrieval is shown as the black line and arrows. b. Mixing ratios of a sample model of the grid shown on the left for the case of 0.0 Bond albedo and 300 × solar metallicity. The temperature-pressure profile is shown as the black dashed line with the corresponding temperature axis at the top. At the temperature regime of LP 791-18 c, CH4 strongly dominates over CO2 unless the metallicity is increased above 500 × solar.

Extended Data Table 1 Stellar and planetary parameters for LP791-18c used or derived in this work
Extended Data Table 2 Bayesian model comparison results from our SCARLET atmosphere retrievals in the free chemistry settings
Extended Data Table 3 Measured atmospheric properties of LP791-18c for multiple retrievals

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roy, PA., Benneke, B., Fournier-Tondreau, M. et al. Diversity in the haziness and chemistry of temperate sub-Neptunes. Nat Astron 10, 371–384 (2026). https://doi.org/10.1038/s41550-025-02723-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41550-025-02723-3

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing