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[3605] | 1 | This folder contains multiple scripts to download and create LMDZ corrk. |
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| 2 | You can install dependencies using: |
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| 3 | |
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| 4 | ./install_dependencies.sh |
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| 5 | |
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| 6 | # Download opacities |
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| 7 | / |
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| 8 | From exomol: |
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| 9 | |
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| 10 | python download_exomol.py |
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| 11 | |
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| 12 | From DACE: |
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| 13 | |
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| 14 | python download_dace.py |
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| 15 | |
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| 16 | |
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| 17 | # Convert opacities to LMDZ format using exo_k |
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| 18 | |
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| 19 | exo_k is a python package that enables users to read opacities in different formats (cross-sections, correlated-k tables). |
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| 20 | For more information about exo_k: https://perso.astrophy.u-bordeaux.fr/~jleconte/exo_k-doc/ |
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| 21 | |
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| 22 | From exomol - cross-sections (TauREx) or ktables (petitRADTRANS, nemesis, arcis): |
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| 23 | |
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| 24 | python lmdz_corrk_from_exomol.py |
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| 25 | |
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| 26 | Create LMDZ opacities from high-res data (DACE): |
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| 27 | |
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| 28 | python lmdz_corrk_from_dace.py |
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| 29 | |
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| 30 | |
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| 31 | # Other utilities |
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| 32 | |
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| 33 | Convert opacities from cross-sections to correlated-k tables using: |
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| 34 | |
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| 35 | python xsec_to_corrk.py |
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| 36 | |
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| 37 | To bin (molecular/atom) correlated-k tables, use: |
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| 38 | |
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| 39 | python bin_corrk.py |
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