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How do we optimally sample model grids of exoplanet spectra?
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Fisher, Chloe and Heng, Kevin (2022) How do we optimally sample model grids of exoplanet spectra? The Astrophysical Journal, 934 (1). 31. doi:10.3847/1538-4357/ac7801 ISSN 1538-4357.
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WRAP-How-do-we-optimally-sample-model-grids-exoplanet-spectra-22.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1611Kb) | Preview |
Official URL: https://doi.org/10.3847/1538-4357/ac7801
Abstract
The construction and implementation of atmospheric model grids is a popular tool in exoplanet characterization. These typically vary a number of parameters linearly, containing one model for every combination of parameter values. Here we investigate alternative methods of sampling parameters, including random sampling and Latin hypercube (LH) sampling, and how these compare to linearly sampled grids. We use a random forest to analyze the performance of these grids for two different models, as well as investigate the information content of the particular model grid from Goyal et al. (2019). We also use nested sampling to implement mock atmospheric retrievals on simulated James Webb Space Telescope transmission spectra by interpolating on linearly sampled model grids. Our results show that random or LH sampling outperforms linear sampling in parameter predictability for our higher-dimensional models, requiring fewer models in the grid, and thus allowing for more computationally intensive forward models to be used. We also found that using a traditional retrieval with interpolation on a linear grid can produce biased posterior distributions, especially for parameters with nonlinear effects on the spectrum. In particular, we advise caution when performing linear interpolation on the C/O ratio, cloud properties, and metallicity. Finally, we found that the information content analysis of the grid from Goyal et al. (2019) was able to highlight key areas of the spectra where the presence or absence of certain molecules can be detected, providing good indicators for parameters such as temperature and C/O ratio.
Item Type: | Journal Article | ||||||||||||||||||
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Subjects: | Q Science > QB Astronomy | ||||||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||||||||||||||
SWORD Depositor: | Library Publications Router | ||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Extrasolar planets, Extrasolar planets -- Atmopsheres, Sampling (Statistics) | ||||||||||||||||||
Journal or Publication Title: | The Astrophysical Journal | ||||||||||||||||||
Publisher: | The American Astronomical Society | ||||||||||||||||||
ISSN: | 1538-4357 | ||||||||||||||||||
Official Date: | 22 July 2022 | ||||||||||||||||||
Dates: |
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Volume: | 934 | ||||||||||||||||||
Number: | 1 | ||||||||||||||||||
Article Number: | 31 | ||||||||||||||||||
DOI: | 10.3847/1538-4357/ac7801 | ||||||||||||||||||
Status: | Peer Reviewed | ||||||||||||||||||
Publication Status: | Published | ||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||
Date of first compliant deposit: | 19 August 2022 | ||||||||||||||||||
Date of first compliant Open Access: | 19 August 2022 | ||||||||||||||||||
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