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The BAGLE Python Package for Bayesian Analysis of Gravitational Lensing Events

  • Authors: J. R. Lu, Michael Medford, Casey Y. Lam, T. Dex Bhadra, Macy J. Huston, Natasha S. Abrams, Edward Broadberry, Jeff Chen, Sean K. Terry, Nijaid Arredondo, Andrew Scharf, Raphael A. P. Oliveira

J. R. Lu et al 2026 The Astronomical Journal 172 .

  • Provider: AAS Journals

Caption: Figure 11.

Comparison between BAGLE, VBMicrolensing, and pyLIMA for a simulated PSPL + parallax event’s normalized separation, u(t). The normalized source–lens separation over time is shown (top) along with the residuals (bottom). We use the same microlensing parameters as in Figure 10: t0,⊙ = 55775 MJD, u0,⊙ = 1, tE,⊙ = 100 days, πE,E = 0.2, πE,N = 0.1, bsff = 1, and magS = 19.

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