研究目的
To compare spectra calculated using the ExoMol–C2018 dataset with spectra calculated from previous sources to demonstrate its advantages for analysing low to medium resolution spectra of Jupiter in the visible/near-IR spectral range.
研究成果
The ExoMol–C2018 NH3 line list represents a significant step forward in allowing the accurate modelling of ammonia absorption in the visible/near-IR spectra of giant planets. However, the accuracy to which the wavelengths of individual lines are predicted needs to be improved for high-resolution studies. New laboratory studies in this region would facilitate further improvement of the available line lists.
研究不足
The ExoMol–C2018 dataset is less able to model high-resolution spectra due to small, but significant inaccuracies in the line wavenumber estimates. The accuracy of line positions below 1 μm may be several, or even tens of wavenumbers in error depending on the upper state vibrational mode and J.
1:Experimental Design and Method Selection:
The methodology involves comparing spectra calculated using the newly revised ExoMol–C2018 ammonia line data with spectra calculated from previous sources. The theoretical models and algorithms employed include the ExoMol project's line data and previous band models and laboratory measurements.
2:Sample Selection and Data Sources:
The samples or datasets used include the ExoMol–C2018 dataset, previous ExoMol–BYTe dataset, laboratory measurements by Lutz and Owen (1980), and band models by Bowles et al. (2008).
3:8).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The study utilizes data from the Very Large Telescope (VLT) MUSE instrument and the NASA/Juno mission.
4:Experimental Procedures and Operational Workflow:
The process involves calculating transmission spectra under various conditions (temperature, pressure, path length) and comparing these with observed spectra from laboratory measurements and VLT/MUSE observations.
5:Data Analysis Methods:
The analysis includes smoothing calculated spectra to match the resolution of observed spectra, comparing line positions and strengths, and assessing the accuracy of the ExoMol–C2018 dataset.
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