Limb-darkening Coefficients for the Filter CBB Article Swipe
A. Claret
,
E. Mullen
,
B. L. Gary
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3847/2515-5172/ac8c3f
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3847/2515-5172/ac8c3f
The CBB filter is particularly appropriate for exoplanet differential photometry using smaller (≤1.0 m) telescopes for two primary reasons. First, the CBB filter provides far greater throughput than standard filters (i.e., 92% throughput for CBB compared to 19% for V), which results in significantly greater measurement precision. Second, the CBB significantly reduces the size of air-mass curvature systematic error (8 mmag/airmass for a CBB filter compared to 59 mmag/airmass for a clear filter). In this Research Note we provide the theoretical calculations of the limb-darkening coefficients (LDCs) for the filter CBB adopting the two most used bi-parametric laws: quadratic and power-2 laws. The calculations of LDCs were carried out adopting the ATLAS stellar atmosphere models, plane-parallel version. These grids cover 19 metallicities ranging from 10 −5 up to 10 +1 solar abundances, 0 ≤ log g ≤ 5.0 and 3500 K ≤ T eff ≤ 50,000 K (9586 models).
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- article
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- en
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- https://doi.org/10.3847/2515-5172/ac8c3f
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- hybrid
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- 10
- OpenAlex ID
- https://openalex.org/W4293795606
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https://openalex.org/W4293795606Canonical identifier for this work in OpenAlex
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https://doi.org/10.3847/2515-5172/ac8c3fDigital Object Identifier
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Limb-darkening Coefficients for the Filter CBBWork title
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articleOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-08-26Full publication date if available
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A. Claret, E. Mullen, B. L. GaryList of authors in order
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https://doi.org/10.3847/2515-5172/ac8c3fPublisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.3847/2515-5172/ac8c3fDirect OA link when available
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Photometry (optics), Physics, Filter (signal processing), Astrophysics, Optics, Computational physics, Computer science, Stars, Computer visionTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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