FRECKLL: Full and Reduced Exoplanet Chemical Kinetics distiLLed
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2022
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| _version_ | 1866909191622361088 |
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| author | Al-Refaie, Ahmed Faris Venot, Olivia Changeat, Quentin Edwards, Billy |
| author_facet | Al-Refaie, Ahmed Faris Venot, Olivia Changeat, Quentin Edwards, Billy |
| contents | We introduce a new Python 1D chemical kinetic code FRECKLL (Full and Reduced Exoplanet Chemical Kinetics distiLLed) to evolve large chemical networks efficiently. FRECKLL employs `distillation' in computing the reaction rates, which minimizes the error bounds to the minimum allowed by double precision values ($ε\leq 10^{-15}$). Compared to summation of rates with traditional algorithms like pairwise summation, distillation provides a tenfold reduction in solver time for both full and reduced networks. Both the full and reduced Venot2020 networks are packaged in FRECKLL as well as a TauREx 3.1 plugin for usage in forward modelling and retrievals of exoplanet atmospheres. We present TauREx retrievals performed on a simulated HD189733 JWST spectra using the full and reduced Venot2020 chemical networks and demonstrate the viability of total disequilibrium chemistry retrievals and the ability for JWST to detect disequilibrium processes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2209_11203 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | FRECKLL: Full and Reduced Exoplanet Chemical Kinetics distiLLed Al-Refaie, Ahmed Faris Venot, Olivia Changeat, Quentin Edwards, Billy Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Chemical Physics We introduce a new Python 1D chemical kinetic code FRECKLL (Full and Reduced Exoplanet Chemical Kinetics distiLLed) to evolve large chemical networks efficiently. FRECKLL employs `distillation' in computing the reaction rates, which minimizes the error bounds to the minimum allowed by double precision values ($ε\leq 10^{-15}$). Compared to summation of rates with traditional algorithms like pairwise summation, distillation provides a tenfold reduction in solver time for both full and reduced networks. Both the full and reduced Venot2020 networks are packaged in FRECKLL as well as a TauREx 3.1 plugin for usage in forward modelling and retrievals of exoplanet atmospheres. We present TauREx retrievals performed on a simulated HD189733 JWST spectra using the full and reduced Venot2020 chemical networks and demonstrate the viability of total disequilibrium chemistry retrievals and the ability for JWST to detect disequilibrium processes. |
| title | FRECKLL: Full and Reduced Exoplanet Chemical Kinetics distiLLed |
| topic | Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Chemical Physics |
| url | https://arxiv.org/abs/2209.11203 |