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arXiv · 2410.14076

popclass: a python package for classifying microlensing events

Greg Sallaberry·Zofia Kaczmarek·Peter McGill·Scott E. Perkins·William A. Dawson·Caitlin G. Begbie
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Abstract

popclass is a python package that provides a flexible, probabilistic framework for classifying the lens of a gravitational microlensing event. popclass allows a user to match characteristics of a microlensing signal to a simulation of the Galaxy to calculate lens type probabilities for an event. Constraints on any microlensing signal characteristics and any Galactic model can be used. popclass comes with an interface to common inference libraries for microlensing signal constraints, pre-loaded Galactic models, plotting functionality, and classification uncertainty quantification methods.

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Greg Sallaberry, Zofia Kaczmarek, Peter McGill, Scott E. Perkins, William A. Dawson, Caitlin G. Begbie. 2024-10-17. popclass: a python package for classifying microlensing events. https://arxiv.org/abs/2410.14076

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