Early Release Science of the exoplanet WASP-39b with JWST NIRSpec G395H.
Journal
Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462
Informations de publication
Date de publication:
02 2023
02 2023
Historique:
received:
13
10
2022
accepted:
24
11
2022
pubmed:
10
1
2023
medline:
10
1
2023
entrez:
9
1
2023
Statut:
ppublish
Résumé
Measuring the abundances of carbon and oxygen in exoplanet atmospheres is considered a crucial avenue for unlocking the formation and evolution of exoplanetary systems
Identifiants
pubmed: 36623549
doi: 10.1038/s41586-022-05591-3
pii: 10.1038/s41586-022-05591-3
pmc: PMC9946835
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
664-669Subventions
Organisme : NASA
ID : NAS 5-03127
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2023. The Author(s).
Références
Öberg, K. I., Murray-Clay, R. & Bergin, E. A. The effects of snowlines on C/O in planetary atmospheres. Astrophys. J. Lett. 743, L16 (2011).
doi: 10.1088/2041-8205/743/1/L16
Mordasini, C., van Boekel, R., Mollière, P., Henning, T. & Benneke, B. The imprint of exoplanet formation history on observable present-day spectra of hot Jupiters. Astrophys. J. 832, 41 (2016).
doi: 10.3847/0004-637X/832/1/41
Sing, D. K. et al. A continuum from clear to cloudy hot-Jupiter exoplanets without primordial water depletion. Nature 529, 59–62 (2016).
pubmed: 26675732
doi: 10.1038/nature16068
Wakeford, H. R. et al. The complete transmission spectrum of WASP-39b with a precise water constraint. Astron. J. 155, 29 (2018).
doi: 10.3847/1538-3881/aa9e4e
Alam, M. K. et al. The Hubble Space Telescope PanCET program: an optical to infrared transmission spectrum of HAT-P-32Ab. Astron. J 160, 51 (2020).
doi: 10.3847/1538-3881/ab96cb
Birkby, J. L. Exoplanet atmospheres at high spectral resolution. Preprint at https://arxiv.org/abs/1806.04617 (2018).
Line, M. R. et al. A solar C/O and sub-solar metallicity in a hot Jupiter atmosphere. Nature 598, 580–584 (2021).
pubmed: 34707303
doi: 10.1038/s41586-021-03912-6
Pelletier, S. et al. Where is the water? Jupiter-like C/H ratio but strong H
doi: 10.3847/1538-3881/ac0428
Faedi, F. et al. WASP-39b: a highly inflated Saturn-mass planet orbiting a late G-type star. Astron. Astrophys. 531, A40 (2011).
doi: 10.1051/0004-6361/201116671
Batalha, N. E. & Line, M. R. Information content analysis for selection of optimal JWST observing modes for transiting exoplanet atmospheres. Astron. J 153, 151 (2017).
doi: 10.3847/1538-3881/aa5faa
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).
doi: 10.1051/0004-6361/202142663
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).
doi: 10.1051/0004-6361/202142592
Fischer, P. D. et al. HST hot-Jupiter transmission spectral survey: clear skies for cool Saturn WASP-39b. Astrophys. J. 827, 19 (2016).
doi: 10.3847/0004-637X/827/1/19
Nikolov, N. et al. VLT FORS2 comparative transmission spectroscopy: detection of Na in the atmosphere of WASP-39b from the ground. Astrophys. J. 832, 191 (2016).
doi: 10.3847/0004-637X/832/2/191
Kirk, J. et al. LRG-BEASTS: transmission spectroscopy and retrieval analysis of the highly inflated Saturn-mass planet WASP-39b. Astron. J. 158, 144 (2019).
doi: 10.3847/1538-3881/ab397d
Barstow, J. K., Aigrain, S., Irwin, P. G. & Sing, D. K. A consistent retrieval analysis of 10 hot Jupiters observed in transmission. Astrophys. J. 834, 50 (2017).
doi: 10.3847/1538-4357/834/1/50
Pinhas, A., Madhusudhan, N., Gandhi, S. & MacDonald, R. H
doi: 10.1093/mnras/sty2544
Tsiaras, A. et al. A population study of gaseous exoplanets. Astron. J 155, 4 (2018).
doi: 10.3847/1538-3881/aaaf75
Welbanks, L. et al. Mass–metallicity trends in transiting exoplanets from atmospheric abundances of H
doi: 10.3847/2041-8213/ab5a89
Kawashima, Y. & Min, M. Implementation of disequilibrium chemistry to spectral retrieval code ARCiS and application to 16 exoplanet transmission spectra. Indication of disequilibrium chemistry for HD 209458b and WASP-39b. Astron. Astrophys. 656, A90 (2021).
doi: 10.1051/0004-6361/202141548
Shibata, S., Helled, R. & Ikoma, M. The origin of the high metallicity of close-in giant exoplanets. Combined effects of resonant and aerodynamic shepherding. Astron. Astrophys. 633, A33 (2020).
doi: 10.1051/0004-6361/201936700
Helled, R. & Morbidelli, A. in ExoFrontiers: Big Questions in Exoplanetary Science (ed. Madhusudhan, N.) (IOP Publishing, 2021).
Ahrer, E.-M. et al. Early Release Science of the exoplanet WASP-39b with JWST NIRCam. Nature https://doi.org/10.1038/s41586-022-05590-4 (2023).
Polanski, A. S., Crossfield, I. J., Howard, A. W., Isaacson, H. & Rice, M. Chemical abundances for 25 JWST exoplanet host stars with KeckSpec. Res. Notes AAS 6, 155 (2022).
doi: 10.3847/2515-5172/ac8676
Mullally, S. E., Rodriguez, D. R., Stevenson, K. B. & Wakeford, H. R. The Exo.MAST table for JWST exoplanet atmosphere observability. Res. Notes AAS 3, 193 (2019).
doi: 10.3847/2515-5172/ab62a1
Stevenson, K. B. et al. Transiting exoplanet studies and community targets for JWST’s Early Release Science Program. Publ. Astron. Soc. Pac. 128, 094401 (2016).
doi: 10.1088/1538-3873/128/967/094401
Bean, J. L. et al. The Transiting Exoplanet Community Early Release Science Program for JWST. Publ. Astron. Soc. Pac. 130, 114402 (2018).
doi: 10.1088/1538-3873/aadbf3
Rigby, J. et al. The science performance of JWST as characterized in commissioning. Preprint at https://arxiv.org/abs/2207.05632 (2023).
JWST Transiting Exoplanet Community Early Release Science Team. Identification of carbon dioxide in an exoplanet atmosphere. Nature https://doi.org/10.1038/s41586-022-05269-w (2022).
Lodders, K. & Fegley, B. Atmospheric chemistry in giant planets, brown dwarfs, and low-mass dwarf stars: I. Carbon, nitrogen, and oxygen. Icarus 155, 393–424 (2002).
doi: 10.1006/icar.2001.6740
Rustamkulov, R. et al. Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM. Nature https://doi.org/10.1038/s41586-022-05677-y (2023).
Zahnle, K. et al. Atmospheric sulfur photochemistry on hot Jupiters. Astrophys. J. Lett. 701, L20 (2009).
doi: 10.1088/0004-637X/701/1/L20
Hobbs, R. et al. Sulfur chemistry in the atmospheres of warm and hot Jupiters. Mon. Not. R. Astron. Soc. 506, 3186–3204 (2021).
doi: 10.1093/mnras/stab1839
Tsai, S.-M. et al. A comparative study of atmospheric chemistry with VULCAN. Astrophys. J. 923, 264 (2021).
doi: 10.3847/1538-4357/ac29bc
Polman, J., Waters, L.B.F.M., Min, M., Miguel, Y. & Khorshid, N. H2S and SO2 detectability in hot Jupiters. Sulphur species as indicators of metallicity and C/O ratio. Astron. Astrophys. https://doi.org/10.1051/0004-6361/202244647 (in the press).
Moses, J. I., Madhusudhan, N., Visscher, C. & Freedman, R. S. Chemical consequences of the C/O ratio on hot Jupiters: examples from WASP-12b, CoRoT-2b, XO-1b, and HD 189733b. Astrophys. J. 763, 25 (2012).
pubmed: 30842680
pmcid: 6398958
doi: 10.1088/0004-637X/763/1/25
Moses, J. I. et al. Disequilibrium carbon, oxygen, and nitrogen chemistry in the atmospheres of HD 189733b and HD 209458b. Astrophys. J. 737, 15 (2011).
doi: 10.1088/0004-637X/737/1/15
Ackerman, A. S. & Marley, M. S. Precipitating condensation clouds in substellar atmospheres. Astrophys. J. 556, 872 (2001).
doi: 10.1086/321540
Mousis, O., Aguichine, A., Helled, R., Irwin, P. G. J. & Lunine, J. I. The role of ice lines in the formation of Uranus and Neptune. Philos. Trans. R. Soc. A 378, 20200107 (2020).
doi: 10.1098/rsta.2020.0107
Wong, M. H., Mahaffy, P. R., Atreya, S. K., Niemann, H. B. & Owen, T. C. Updated Galileo probe mass spectrometer measurements of carbon, oxygen, nitrogen, and sulfur on Jupiter. Icarus 171, 153–170 (2004).
doi: 10.1016/j.icarus.2004.04.010
Fletcher, L. N., Orton, G. S., Teanby, N. A., Irwin, P. G. J. & Bjoraker, G. L. Methane and its isotopologues on Saturn from Cassini/CIRS observations. Icarus 199, 351–367 (2009).
doi: 10.1016/j.icarus.2008.09.019
Pollack, J. B. et al. Formation of the giant planets by concurrent accretion of solids and gas. Icarus 124, 62–85 (1996).
doi: 10.1006/icar.1996.0190
Thorngren, D. & Fortney, J. J. Connecting giant planet atmosphere and interior modeling: constraints on atmospheric metal enrichment. Astrophys. J. Lett. 874, L31 (2019).
doi: 10.3847/2041-8213/ab1137
Bushouse, H. et al. JWST Calibration Pipeline (1.6.2). Zenodo https://doi.org/10.5281/zenodo.7041998 (2022).
Alderson, L., Grant, D., Wakeford, H. Exo-TiC/ExoTiC-JEDI: v0.1-beta-release. Zenodo https://doi.org/10.5281/zenodo.7185855 (2022).
Kirk, J. et al. LRG-BEASTS III: ground-based transmission spectrum of the gas giant orbiting the cool dwarf WASP-80. Mon. Not. R. Astron. Soc. 474, 876 (2018).
doi: 10.1093/mnras/stx2826
Kirk, J. et al. ACCESS and LRG-BEASTS: a precise new optical transmission spectrum of the ultrahot Jupiter WASP-103b. Astronom. J. 162, 34 (2021).
doi: 10.3847/1538-3881/abfcd2
Espinoza, N. TransitSpectroscopy (0.3.11). Zenodo https://doi.org/10.5281/zenodo.6960924 (2022).
Marsh, T. R. The extraction of highly distorted spectra. Publ. Astron. Soc. Pac. 101, 1032 (1989).
doi: 10.1086/132570
Bell, T. J. et al. Eureka!: An end-to-end pipeline for JWST time-series observations. J. Open Source Softw. 7, 4503 (2022).
Claret, A. A new non-linear limb-darkening law for LTE stellar atmosphere models. Calculations for −5.0 ≤ log[M/H] ≤ +1, 2000 K ≤ T
Magic, Z., Chiavassa, A., Collet, R. & Asplund, M. The STAGGER-grid: a grid of 3D stellar atmosphere models. IV. Limb darkening coefficients. Astron. Astrophys. 573, A90 (2015).
doi: 10.1051/0004-6361/201423804
Space Telescope Science Institute. JWST User Documentation (JDox) website. https://jwst-docs.stsci.edu/ (2016).
Laginja, I. & Wakeford, H. ExoTiC-ISM: a Python package for marginalised exoplanet transit parameters across a grid of systematic instrument models. J. Open Source Softw. 5, 2281 (2020).
doi: 10.21105/joss.02281
Wakeford, H. & Grant, D. Exo-TiC/ExoTiC-LD: ExoTiC-LD v2.1 Zenodo https://doi.org/10.5281/zenodo.6809899 (2022).
Sing, D. K. Stellar limb-darkening coefficients for CoRot and Kepler. Astron. Astrophys. 510, A21 (2010).
doi: 10.1051/0004-6361/200913675
Kipping, D. M. Efficient, uninformative sampling of limb-darkening coefficients for two-parameter laws. Mon. Not. R. Astron. Soc. 435, 2152–2160 (2013).
doi: 10.1093/mnras/stt1435
Espinoza, N. & Jordán, A. Limb darkening and exoplanets – II. Choosing the best law for optimal retrieval of transit parameters. Mon. Not. R. Astron. Soc. 457, 3573–3581 (2016).
doi: 10.1093/mnras/stw224
Allan, D. W. Statistics of atomic frequency standards. Proc. IEEE 54, 221–230 (1966).
doi: 10.1109/PROC.1966.4634
Pont, F., Zucker, S. & Queloz, D. The effect of red noise on planetary transit detection. Mon. Not. R. Astron. Soc. 373, 231–242 (2006).
doi: 10.1111/j.1365-2966.2006.11012.x
Virtanen, P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods 17, 261–272 (2020).
pubmed: 32015543
pmcid: 7056644
doi: 10.1038/s41592-019-0686-2
Kreidberg, L. batman: BAsic Transit Model cAlculatioN in Python. Publ. Astron. Soc. Pac. 127, 1161 (2015).
doi: 10.1086/683602
Gibson, N. P. et al. A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy. Mon. Not. R. Astron. Soc. 419, 2683–2694 (2012).
doi: 10.1111/j.1365-2966.2011.19915.x
Gibson, N. P. Reliable inference of exoplanet light-curve parameters using deterministic and stochastic systematics models. Mon. Not. R. Astron. Soc. 445, 3401–3414 (2014).
doi: 10.1093/mnras/stu1975
Ambikasaran, S., Foreman-Mackey, D., Greengard, L., Hogg, D. W. & O’Neil, M. Fast direct methods for Gaussian processes. IEEE Trans. Pattern Anal. Mach. Intell. 38, 252–265 (2015).
doi: 10.1109/TPAMI.2015.2448083
Foreman-Mackey, D. et al. emcee v3: a Python ensemble sampling toolkit for affine-invariant MCMC. J. Open Source Softw. 4, 1864 (2019).
doi: 10.21105/joss.01864
Newville, M. et al. LMFIT: non-linear least-square minimization and curve-fitting for Python. Zenodo https://doi.org/10.5281/zenodo.11813 (2014).
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).
doi: 10.1093/mnras/stz2688
Speagle, J. S. DYNESTY: a dynamic nested sampling package for estimating Bayesian posteriors and evidences. Mon. Not. R. Astron. Soc. 493, 3132–3158 (2020).
doi: 10.1093/mnras/staa278
Kurucz, R. L. Model atmospheres for g, f, a, b, and o stars. Astrophys. J. Suppl. Ser. 40, 1–340 (1979).
doi: 10.1086/190589
Howarth, I. D. On stellar limb darkening and exoplanetary transits. Mon. Not. R. Astron. Soc. 418, 1165–1175 (2011).
doi: 10.1111/j.1365-2966.2011.19568.x
Benneke, B. et al. Spitzer observations confirm and rescue the habitable-zone super-Earth K2-18b for future characterization. Astrophys. J. 834, 187 (2017).
doi: 10.3847/1538-4357/834/2/187
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).
doi: 10.1038/s41550-019-0800-5
Benneke, B. et al. Water vapor and clouds on the habitable-zone sub-Neptune exoplanet K2-18b. Astrophys. J. Lett. 887, L14 (2019).
doi: 10.3847/2041-8213/ab59dc
Tsiaras, A. et al. Detection of an atmosphere around the super-Earth 55 Cancri e. Astrophys. J. 820, 99 (2016).
doi: 10.3847/0004-637X/820/2/99
Morello, G. et al. ExoTETHyS: tools for exoplanetary transits around host stars. J. Open Source Softw. 5, 1834 (2020).
doi: 10.21105/joss.01834
Claret, A., Hauschildt, P. H. & Witte, S. New limb-darkening coefficients for PHOENIX/1D model atmospheres. I. Calculations for 1500 K ≤ T
doi: 10.1051/0004-6361/201219849
Claret, A., Hauschildt, P. H. & Witte, S. New limb-darkening coefficients for PHOENIX/1D model atmospheres. II. Calculations for 5000 K ≤ T
doi: 10.1051/0004-6361/201220942
Bradbury, J. et al. JAX: Autograd and XLA. Astrophysics Source Code Library. https://ascl.net/2111.002 (2021).
Foreman-Mackey, D. et al. exoplanet-dev/exoplanet: exoplanet v0.5.0. Zenodo https://doi.org/10.5281/zenodo.4737444 (2020).
Luger, R. et al. STARRY: analytic occultation light curves. Astron. J 157, 64 (2019).
doi: 10.3847/1538-3881/aae8e5
Agol, E., Luger, R. & Foreman-Mackey, D. Analytic planetary transit light curves and derivatives for stars with polynomial limb darkening. Astron. J 159, 123 (2020).
doi: 10.3847/1538-3881/ab4fee
Foreman-Mackey, D., Agol, E., Ambikasaran, S. & Angus, R. Fast and scalable Gaussian process modeling with applications to astronomical time series. Astron. J 154, 220 (2017).
doi: 10.3847/1538-3881/aa9332
Sharp, C. & Burrows, A. Atomic and molecular opacities for brown dwarf and giant planet atmospheres. Astrophys. J. Suppl. Ser. 168, 140 (2007).
doi: 10.1086/508708
Tremblin, P. et al. Fingering convection and cloudless models for cool brown dwarf atmospheres. Astrophys. J. Lett. 804, L17 (2015).
doi: 10.1088/2041-8205/804/1/L17
Drummond, B. et al. The effects of consistent chemical kinetics calculations on the pressure-temperature profiles and emission spectra of hot Jupiters. Astron. Astrophys. 594, A69 (2016).
doi: 10.1051/0004-6361/201628799
Goyal, J. M. et al. A library of ATMO forward model transmission spectra for hot Jupiter exoplanets. Mon. Not. R. Astron. Soc. 474, 5158 (2018).
doi: 10.1093/mnras/stx3015
Goyal, J. M. et al. A library of self-consistent simulated exoplanet atmospheres. Mon. Not. R. Astron. Soc. 498, 4680 (2020).
doi: 10.1093/mnras/staa2300
Hauschildt, P. H., Allard, F. & Baron, E. The NextGen model atmosphere grid for 3000 ≤ T
doi: 10.1086/306745
Barman, T. S., Hauschildt, P. H. & Allard, F. Irradiated planets. Astrophys. J. 556, 885–895 (2001).
doi: 10.1086/321610
Lothringer, J. D. & Barman, T. The PHOENIX exoplanet retrieval algorithm and using H
doi: 10.3847/1538-3881/ab8d33
Barber, R. J., Tennyson, J., Harris, G. J. & Tolchenov, R. N. A high-accuracy computed water line list. Mon. Not. R. Astron. Soc. 368, 1087–1094 (2006).
doi: 10.1111/j.1365-2966.2006.10184.x
Rothman, L. S. et al. The HITRAN 2008 molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transfer 110, 533–572 (2009).
doi: 10.1016/j.jqsrt.2009.02.013
Kurucz, R. & Bell, B. Atomic line data. CD-ROM no. 23 (Smithsonian Astrophysical Observatory, 1995).
Batalha, N. E., Marley, M. S., Lewis, N. K. & Fortney, J. J. Exoplanet reflected-light spectroscopy with PICASO. Astrophys. J. 878, 70 (2019).
doi: 10.3847/1538-4357/ab1b51
Mukherjee, S., Batalha, N. E., Fortney, J. J. & Marley, M. S. PICASO 3.0: a one-dimensional climate model for giant planets and brown dwarfs. Astrophys. J. 942, 71 (2023).
Fortney, J. J., Marley, M. S., Lodders, K., Saumon, D. & Freedman, R. Comparative planetary atmospheres: models of TrES-1 and HD 209458b. Astrophys. J. 627, L69–L72 (2005).
doi: 10.1086/431952
Marley, M. S. et al. The Sonora brown dwarf atmosphere and evolution models. I. Model description and application to cloudless atmospheres in rainout chemical equilibrium. Astrophys. J. 920, 85 (2021).
doi: 10.3847/1538-4357/ac141d
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).
doi: 10.1093/mnras/sty1877
Huang, X., Gamache, R. R., Freedman, R. S., Schwenke, D. W. & Lee, T. J. Reliable infrared line lists for 13 CO
Yurchenko, S. N., Amundsen, D. S., Tennyson, J. & Waldmann, I. P. A hybrid line list for CH
pubmed: 31649386
pmcid: 6812670
doi: 10.1051/0004-6361/201731026
Li, G. et al. Rovibrational line lists for nine isotopologues of the CO molecule in the X
doi: 10.1088/0067-0049/216/1/15
Lupu, R., Freedman, R., Gharib-Nezhad, E., Visscher, C. & Molliere, P. Correlated k coefficients for H2-He atmospheres; 196 spectral windows and 1460 pressure-temperature points. Zenodo https://doi.org/10.5281/zenodo.5590989 (2021).
Rooney, C. M., Batalha, N. E., Gao, P. & Marley, M. S. A new sedimentation model for greater cloud diversity in giant exoplanets and brown dwarfs. Astrophys. J. 925, 33 (2022).
doi: 10.3847/1538-4357/ac307a
Buchner, J. PyMultiNest: Python interface for MultiNest. Astrophysics Source Code Library. https://www.ascl.net/1606.005 (2016).
Skilling, J. Nested sampling. AIP Conf. Proc. 735, 395–405 (2004).
doi: 10.1063/1.1835238
Trotta, R. Bayes in the sky: Bayesian inference and model selection in cosmology. Contemp. Phys. 49, 71–104 (2008).
doi: 10.1080/00107510802066753
Underwood, D. S. et al. ExoMol molecular line lists – XIV. The rotation–vibration spectrum of hot SO
doi: 10.1093/mnras/stw849
Lee, E. K. et al. 3D radiative transfer for exoplanet atmospheres. gCMCRT: a GPU-accelerated MCRT code. Astrophys. J. 929, 180 (2022).
doi: 10.3847/1538-4357/ac61d6
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).
doi: 10.3847/1538-4365/ab7a1a
Chubb, K. L., Tennyson, J. & Yurchenko, S. N. ExoMol molecular line lists – XXXVII. Spectra of acetylene. Mon. Not. R. Astron. Soc. 493, 1531–1545 (2020).
doi: 10.1093/mnras/staa229
Mant, B. P., Yachmenev, A., Tennyson, J. & Yurchenko, S. N. ExoMol molecular line lists – XXVII. Spectra of C
doi: 10.1093/mnras/sty1239
Gordon, I. E. et al. The HITRAN2020 molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transfer 277, 107949 (2022).
doi: 10.1016/j.jqsrt.2021.107949
Rothman, L. S. et al. HITEMP, the high-temperature molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transfer 111, 2139–2150 (2010).
doi: 10.1016/j.jqsrt.2010.05.001
Bernath, P. F. MoLLIST: molecular line lists, intensities and spectra. J. Quant. Spectrosc. Radiat. Transfer 240, 106687 (2020).
doi: 10.1016/j.jqsrt.2019.106687
Harris, G. J., Tennyson, J., Kaminsky, B. M., Pavlenko, Y. V. & Jones, H. R. A. Improved HCN/HNC linelist, model atmospheres and synthetic spectra for WZ Cas. Mon. Not. R. Astron. Soc. 367, 400–406 (2006).
doi: 10.1111/j.1365-2966.2005.09960.x
Azzam, A. A. A., Tennyson, J., Yurchenko, S. N. & Naumenko, O. V. ExoMol molecular line lists – XVI. The rotation–vibration spectrum of hot H
doi: 10.1093/mnras/stw1133
Coxon, J. A. & Hajigeorgiou, P. G. Improved direct potential fit analyses for the ground electronic states of the hydrogen halides: HF/DF/TF, HCl/DCl/TCl, HBr/DBr/TBr and HI/DI/TI. J. Quant. Spectrosc. Radiat. Transfer 151, 133–154 (2015).
doi: 10.1016/j.jqsrt.2014.08.028
Mizus, I. I. et al. ExoMol molecular line lists – XX. A comprehensive line list for H
doi: 10.1093/mnras/stx502
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).
doi: 10.1093/mnras/stz2778
Western, C. M. et al. The spectrum of N
doi: 10.1016/j.jqsrt.2018.07.017
Barton, E. J. et al. ExoMol molecular line lists V: the ro-vibrational spectra of NaCl and KCl. Mon. Not. R. Astron. Soc. 442, 1821–1829 (2014).
doi: 10.1093/mnras/stu944
Sousa-Silva, C., Al-Refaie, A. F., Tennyson, J. & Yurchenko, S. N. ExoMol line lists – VII. The rotation–vibration spectrum of phosphine up to 1500 K. Mon. Not. R. Astron. Soc. 446, 2337–2347 (2015).
doi: 10.1093/mnras/stu2246
Yorke, L., Yurchenko, S. N., Lodi, L. & Tennyson, J. Exomol molecular line lists – VI. A high temperature line list for phosphorus nitride. Mon. Not. R. Astron. Soc. 445, 1383–1391 (2014).
doi: 10.1093/mnras/stu1854
Prajapat, L. et al. ExoMol molecular line lists – XXIII. Spectra of PO and PS. Mon. Not. R. Astron. Soc. 472, 3648–3658 (2017).
doi: 10.1093/mnras/stx2229
Gorman, M. N., Yurchenko, S. N. & Tennyson, J. ExoMol molecular line lists XXXVI: X
doi: 10.1093/mnras/stz2517
Upadhyay, A., Conway, E. K., Tennyson, J. & Yurchenko, S. N. ExoMol line lists XXV: a hot line list for silicon sulphide, SiS. Mon. Not. R. Astron. Soc. 477, 1520–1527 (2018).
doi: 10.1093/mnras/sty998
Owens, A., Yachmenev, A., Thiel, W., Tennyson, J. & Yurchenko, S. N. ExoMol line lists – XXII. The rotation–vibration spectrum of silane up to 1200 K. Mon. Not. R. Astron. Soc. 471, 5025–5032 (2017).
doi: 10.1093/mnras/stx1952
Barton, E. J., Yurchenko, S. N. & Tennyson, J. ExoMol line lists – II. The ro-vibrational spectrum of SiO. Mon. Not. R. Astron. Soc. 434, 1469–1475 (2013).
doi: 10.1093/mnras/stt1105
Brady, R. P., Yurchenko, S. N., Kim, G. S., Somogyi, W. & Tennyson, J. An ab initio study of the rovibronic spectrum of sulphur monoxide (SO): diabatic vs. adiabatic representation. Phys. Chem. Chem. Phys. 24, 24076–24088 (2022).
pubmed: 36172791
pmcid: 9623608
doi: 10.1039/D2CP03051A
Tennyson, J. et al. The 2020 release of the ExoMol database: molecular line lists for exoplanet and other hot atmospheres. J. Quant. Spectrosc. Radiat. Transfer 255, 107228 (2020).
doi: 10.1016/j.jqsrt.2020.107228
Salvatier, J., Wiecki, T. V. & Fonnesbeck, C. Probabilistic programming in Python using PyMC3. PeerJ Comput. Sci. 2, e55 (2016).
doi: 10.7717/peerj-cs.55
The Astropy Collaboration et al.Astropy: a community Python package for astronomy. Astron. Astrophys. 558, A33 (2013).
doi: 10.1051/0004-6361/201322068
The Astropy Collaboration et al.The Astropy Project: building an open-science project and status of the v2.0 core package. Astron. J 156, 123 (2018).
doi: 10.3847/1538-3881/aabc4f
Hunter, J. D. Matplotlib: a 2D graphics environment. Comput. Sci. Eng. 9, 90–95 (2007).
doi: 10.1109/MCSE.2007.55
Harris, C. R. et al. Array programming with NumPy. Nature 585, 357–362 (2020).
pubmed: 32939066
pmcid: 7759461
doi: 10.1038/s41586-020-2649-2
McKinney, W. pandas: a foundational Python library for data analysis and statistics. In PyHPC 2011: Python for High Performance and Scientific Computing Vol. 14, 1–9 (2011).
Hoyer, S. & Hamman, J. xarray: N-D labeled arrays and datasets in Python. J. Open Res. Softw. 5, 10 (2017).
doi: 10.5334/jors.148
Espinoza, N. et al. Spectroscopic time-series performance of JWST/NIRSpec from commissioning observations. Preprint at https://arxiv.org/abs/2211.01459 (2022).
Caffau, E., Ludwig, H. G., Steffen, M., Freytag, B. & Bonifacio, P. Solar chemical abundances determined with a CO5BOLD 3D model atmosphere. Sol. Phys. 258, 255–269 (2011).
doi: 10.1007/s11207-010-9541-4
Asplund, M., Grevesse, N., Sauval, A. J. & Scott, P. The chemical composition of the Sun. Preprint at https://arxiv.org/abs/0909.0948 (2022).
Lodders, K., Palme, H. & Gail, H.-P. Abundances of the elements in the solar system. Preprint at https://arxiv.org/abs/0901.1149 (2022).