---
code_id: 143766
site_ownership_code: "LLNL"
open_source: true
repository_link: "https://github.com/LLNL/popclass"
project_type: "OS"
software_type: "S"
official_use_only: {}
developers:
- email: ""
  orcid: ""
  first_name: "Peter"
  last_name: "Mcgill"
  middle_name: ""
  affiliations:
  - "Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)"
- email: ""
  orcid: ""
  first_name: "Zofia"
  last_name: "Kaczmarek"
  middle_name: ""
  affiliations:
  - "Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)"
- email: ""
  orcid: ""
  first_name: "Gregory"
  last_name: "Sallaberry"
  middle_name: ""
  affiliations:
  - "Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)"
- email: ""
  orcid: ""
  first_name: "Scott"
  last_name: "Perkins"
  middle_name: ""
  affiliations:
  - "Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)"
- email: ""
  orcid: ""
  first_name: "William"
  last_name: "Dawson"
  middle_name: ""
  affiliations:
  - "Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)"
contributors: []
sponsoring_organizations:
- organization_name: "USDOE National Nuclear Security Administration (NNSA)"
  funding_identifiers: []
  primary_award: "AC52-07NA27344"
  DOE: true
contributing_organizations: []
research_organizations:
- organization_name: "Lawrence Livermore National Laboratory (LLNL), Livermore, CA\
    \ (United States)"
  DOE: true
related_identifiers: []
award_dois: []
release_date: "2024-08-14"
software_title: "popclass"
acronym: "popclass"
doi: "https://doi.org/10.11578/dc.20240917.6"
description: "popclass is a lightweight python package that allows fast, probabilistic\
  \ classification of the lens of a\nmicrolensing event given the event's posterior\
  \ distribution and a model of the Galaxy. popclass provides\nthe bridge between\
  \ Galactic simulation and lens classification, an interface to common Bayesian\n\
  inference libraries, and the ability for users to flexibly specify their own Galactic\
  \ model and classification\nparameters."
programming_languages: []
version_number: "0.1.0"
country_of_origin: "United States"
project_keywords: []
licenses:
- "MIT License"
recipient_org: "PLS/PHYS"
site_accession_number: "LLNL-CODE-2000456"
other_special_requirements: ""
date_record_added: "2024-09-17"
date_record_updated: "2024-09-17"
is_file_certified: false
last_editor: "wasim1@llnl.gov"
is_limited: false
links:
- rel: "citation"
  href: "https://www.osti.gov/doecode/biblio/143766"