TL;DR
PyTransit is a Python package that provides fast, parallelized, and GPU-accelerated models for exoplanet transit light curve analysis, making it easier to handle large photometric datasets.
Contribution
It introduces an efficient, user-friendly Python interface with optimized transit models, including GPU support, for analyzing extensive exoplanet transit data.
Findings
Supports large datasets with hundreds of thousands of points
Includes GPU acceleration for faster computations
Offers an object-oriented, easy-to-use Python interface
Abstract
We present a fast and user friendly exoplanet transit light curve modelling package PyTransit, implementing optimised versions of the Gimen\'ez and the Mandel & Agol transit models. The package offers an object-oriented Python interface to access the two models implemented natively in Fortran with OpenMP parallelisation. A partial OpenCL version of the quadratic Mandel-Agol model is also included for GPU-accelerated computations. The aim of PyTransit is to facilitate the analysis of photometric time series of exoplanet transits consisting of hundreds of thousands of datapoints, and of multi-passband transit light curves from spectrophotometric observations, as a part of a researcher's programming toolkit for building complex, problem-specific, analyses.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
