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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 18.

The impact of blending on the photometry (top panel) and astrometry (middle, bottom panels) for a microlensing event. In this case, all blending is assumed to come from a luminous lens. The complete set of model parameters for the PSPL_PhotAstrom_Par_Param1 model shown is ML = 1 M, t0,⊙ = 57000 MJD, XS,0,⊙ = [0″, 0″], β = 0.4 mas, ﹩{{\boldsymbol{\mu }}}_{{\bf{S}}}=[0,0]﹩ mas yr−1, ﹩{{\boldsymbol{\mu }}}_{{\rm{L}}}=[5,0]﹩ mas yr−1, dL = 2 kpc, dS = 6 kpc, αL = 262﹩\mathop{.}\limits^{\unicode{x000b0}}﹩5, and δL = −29°. Note, in the middle panel, the orange line is under the dark purple line.

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