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ASCL Code Record
[
ascl:1505.024
]
PyTransit: Transit light curve modeling
Parviainen, Hannu
PyTransit implements optimized versions of the Giménez and Mandel & Agol transit models for exoplanet transit light-curves. The two models are implemented natively in Fortran with OpenMP parallelization, and are accessed by an object-oriented python interface. PyTransit facilitates the analysis of photometric time series of exoplanet transits consisting of hundreds of thousands of data points, and of multipassband transit light curves from spectrophotometric observations. It offers efficient model evaluation for multicolour observations and transmission spectroscopy, built-in supersampling to account for extended exposure times, and routines to calculate the projected planet-to-star distance for circular and eccentric orbits, transit durations, and more.
Code site:
https://github.com/hpparvi/PyTransit
Described in:
https://ui.adsabs.harvard.edu/abs/2015MNRAS.450.3233P
https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.1633P
https://ui.adsabs.harvard.edu/abs/2020MNRAS.499.3356P
EMAC link:
https://emac.gsfc.nasa.gov?cid=2207-028
Bibcode:
2015ascl.soft05024P
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