haimengzhao/magic-microlensing
MAGIC: Microlensing Analysis Guided by Intelligent Computation. A PyTorch framework for automatic analysis of realistic microlensing light curves.
This project helps astronomers quickly analyze binary microlensing light curves from telescope observations. It takes the irregularly sampled and gapped brightness measurements of a star over time and efficiently outputs the physical parameters of the lensing system, such as the mass ratio and separation of the binary lenses. This is intended for astrophysicists and astronomers studying exoplanets or stellar objects through gravitational microlensing events.
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Use this if you need to efficiently and accurately determine binary microlensing parameters from real-world astronomical light curve data that might have irregular sampling or large gaps.
Not ideal if you are working with non-microlensing time series data or if you need to model single-lens microlensing events, as this is specifically for binary systems.
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May 30, 2024
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