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CITATION.cff

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cff-version: 1.2.0
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title: >-
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ldtk: Limb Darkening Toolkit
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message: >-
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If you made the use of PyLDTk, I would appreciate it if you give credit.
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authors:
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- family-names: Parviainen
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given-names: Hannu
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orcid: 'https://orcid.org/0000-0001-5519-1391'
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- family-names: Aigrain
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given-names: Suzanne
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orcid: 'https://orcid.org/0000-0003-1453-0574'
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identifiers:
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- type: other
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value: '1510.003'
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description: ascl
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repository-code: 'https://github.com/hpparvi/ldtk'
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abstract: >-
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We present a python package ldtk that automates the calculation of custom
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stellar limb-darkening (LD) profiles and model-specific limb-darkening
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coefficients using the library of phoenix-generated specific intensity
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spectra by Husser et al. The aim of the package is to facilitate analyses
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requiring custom generated LD profiles, such as the studies of exoplanet
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transits -- especially transmission spectroscopy, where the transit modelling
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is carried out for custom narrow passbands -- eclipsing binaries,
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interferometry, and microlensing events. First, ldtk can be used to compute
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custom LD profiles with uncertainties propagated from the uncertainties in
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the stellar parameter estimates. Secondly, ldtk can be used to estimate the
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LD-model-specific coefficients with uncertainties for the most common LD
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models. Thirdly, ldtk can be directly integrated into the log posterior
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computation of any pre-existing modelling code with minimal modifications.
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The last approach can be used to constrain the LD model parameter space
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directly by the LD profile, allowing for the marginalization over the LD
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parameter space without the need to approximate the constraint from the LD
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profile using a prior.
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keywords:
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- 'gravitational lensing: micro'
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- 'methods: numerical'
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- 'techniques: interferometric'
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- 'planets and satellites: general'
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- 'binaries: eclipsing'
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preferred-citation:
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type: article
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title: >-
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ldtk: Limb Darkening Toolkit
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authors:
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- family-names: Parviainen
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given-names: Hannu
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orcid: 'https://orcid.org/0000-0001-5519-1391'
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- family-names: Aigrain
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given-names: Suzanne
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orcid: 'https://orcid.org/0000-0003-1453-0574'
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doi: "10.1093/mnras/stv1857"
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journal: 'MNRAS'
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year: 2015
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month: 11
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start: 3821
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end: 3826
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volume: 453
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number: 4
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url: 'http://mnras.oxfordjournals.org/lookup/doi/10.1093/mnras/stv1857'
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license: GPL-2.0

README.md

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# PyLDTk
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# LDTk
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[![Licence](http://img.shields.io/badge/license-GPLv2-blue.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html)
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[![MNRAS](https://img.shields.io/badge/MNRAS-10.1093%2Fmnras%2Fstv1857-blue.svg)](http://mnras.oxfordjournals.org/content/453/4/3821.abstract)
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[![DOI](https://zenodo.org/badge/5871/hpparvi/ldtk.svg)](https://zenodo.org/badge/latestdoi/5871/hpparvi/ldtk)
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[![astropy](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)](http://www.astropy.org/)
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**Py**thon **L**imb **D**arkening **T**ool**k**it - a Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients for arbitrary passbands using the stellar spectrum model library by Husser et al (2013).
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Python **L**imb **D**arkening **T**ool**k**it - a Python toolkit for calculating stellar limb darkening profiles and model-specific coefficients for arbitrary passbands using the stellar spectrum model library by Husser et al (2013).
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```python
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from ldtk import LDPSetCreator, BoxcarFilter
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## Overview
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PyLDTk automates the calculation of custom stellar limb darkening (LD) profiles and model-specific limb darkening coefficients (LDC) using the library of PHOENIX-generated specific intensity spectra by Husser et al. (2013).
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LDTk automates the calculation of custom stellar limb darkening (LD) profiles and model-specific limb darkening coefficients (LDC) using the library of PHOENIX-generated specific intensity spectra by Husser et al. (2013).
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The aim of the package is to facilitate exoplanet transit light curve modeling, especially transmission
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spectroscopy where the modeling is carried out for custom narrow passbands. The package can be
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## Citing
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If you use PyLDTk in your research, please cite the PyLDTk paper
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If you use LDTk in your research, please cite the LDTk paper
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Parviainen, H. & Aigrain, S. MNRAS 453, 3821–3826 (2015) (DOI:10.1093/mnras/stv1857).
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and the paper describing the spectrum library without which PyLDTk would be rather useless
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and the paper describing the spectrum library without which LDTk would be rather useless
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Husser, T.-O. et al. A&A 553, A6 (2013) (DOI:10.1051/0004-6361/201219058).
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