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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Products and Models for "Volatile-to-sulfur Ratios Can Recover a Gas Giant's Accretion History"

Authors: Crossfield, Ian J.M.;

Products and Models for "Volatile-to-sulfur Ratios Can Recover a Gas Giant's Accretion History"

Abstract

The newfound ability to detect SO2 in exoplanet atmospheres and presents an opportunity to measure sulfur abundances and so directly test between competing modes of planet formation. To explore the detectability of SO2 in transmission spectra and its ability to diagnose planet formation, we present a grid of atmospheric photochemical models and corresponding synthetic spectra for WASP-39b (where SO2 has recently been detected). Our grid contains 2,662 model atmospheres: spanning 1-100x the solar abundance ratios of C, O, and S (11^3 combinations of abundances) and for two thermal profiles: corresponding to the morning and evening terminators. We also provide 3,993 synthetic spectra: one for each of the morning and evening terminators, plus a set of spectra that are the mean of the morning and evening spectra (corresponding to the transmission spectrum that would be observed during transit). If you use these files, please cite Crossfield (2023). The transmission spectra are simple two-column CSV files -- wavelength in microns, and transit depth. The model atmospheres are in Python pickle format, and are the standard output of the VULCAN photochemistry code. The several data sets are: wasp39_mean_spectra.tar.gz -- average terminator spectra. Use this for comparing to full-transit observations. wasp39_morning_spectra.tar.gz -- spectra corresponding to the morning-terminator models. wasp39_evening_spectra.tar.gz -- spectra corresponding to the evening-terminator models. wasp39_evening_profiles.tar.gz -- model atmospheres and chemical profiles for the evening-terminator thermal profile. wasp39_morning_profiles.tar.gz -- model atmospheres and chemical profiles for the morning-terminator thermal profile. All filenames are of the form wasp39b_tsai23-Kzz_SNCHO_10x_z83_C7.5_N10.0_O100.0_S18.0__morn_transmission.csv wasp39b -- planet name tsai23-Kzz -- using Kzz (eddy diffusion) profile from Tsai et al. (2023) SNCHO -- using the VULCAN code's SNCHO chemistry network 10x -- all elements (aside from SNCHO) are set to 10x Solar abundances z83 -- zenith angle set to 83 degrees C7.5 -- the scaling of the Carbon abundance relative to Solar; in this case, 7.5x N10.0 -- the scaling of the Nitrogren abundance relative to Solar (10x for all models) O100.0 -- the scaling of the Oxygen abundance relative to Solar; in this case, 100x S18.0 -- the scaling of the Sulfur abundance relative to Solar; in this case, 18x morn -- morning terminator thermal profile, from Tsai et al. (2023). Options are 'morn', 'eve', 'morn-eve-mean' transmission.csv -- indicates a transmission spectrum file. Other option is 'vulcan-output.vul'

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Keywords

photochemistry, JWST, exoplanets, WASP-39b, SO2, transit spectroscopy, exoplanet atmospheres

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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