143766 LLNL true https://github.com/LLNL/popclass OS S 2024-08-14 popclass popclass https://doi.org/10.11578/dc.20240917.6 popclass is a lightweight python package that allows fast, probabilistic classification of the lens of a microlensing event given the event's posterior distribution and a model of the Galaxy. popclass provides the bridge between Galactic simulation and lens classification, an interface to common Bayesian inference libraries, and the ability for users to flexibly specify their own Galactic model and classification parameters. 0.1.0 United States PLS/PHYS LLNL-CODE-2000456 2024-09-17 2024-09-17 false wasim1@llnl.gov false Peter Mcgill Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States) Zofia Kaczmarek Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States) Gregory Sallaberry Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States) Scott Perkins Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States) William Dawson Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States) USDOE National Nuclear Security Administration (NNSA) AC52-07NA27344 true Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States) true MIT License