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PreprintCC BY 4.0arXiv

lenscape: Fast, High-resolution Δχ2 Maps of Microlensing Events

  • Michael Hippke
Open at sourcePDFDOICite

Abstract

Planetary microlensing analyses rely on Δχ2 maps across the binary-lens separation s and mass ratio q to locate degenerate solutions and bound parameter uncertainties. Because every grid point requires a full light-curve optimization with finite-source magnifications, constructing these maps is often the primary computational bottleneck in event modeling. Here I present lenscape, an open-source Python package that accelerates Δχ2 mapping and suppresses local-minimum artifacts through multi-stage neighbor propagation and adaptive contour refinement. Applied to the planetary event MOA-2022-BLG-091, lenscape reproduces the published 50×50 map in 14 minutes and generates a 400×400 map in under two hours on a desktop computer.

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Cite

BibTeXRIS
BibTeX
@misc{hippke2026lenscape,
  title = {{lenscape: Fast, High-resolution $Δχ^2$ Maps of Microlensing Events}},
  author = {Michael Hippke},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.38764},
  eprint = {2610.38764},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.38764},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - lenscape: Fast, High-resolution Δχ^2 Maps of Microlensing Events
AU  - Michael Hippke
PY  - 2026
DA  - 2026/10/28
PB  - arXiv
DO  - 10.48550/arxiv.2610.38764
UR  - https://arxiv.org/abs/2610.38764
AB  - Planetary microlensing analyses rely on Δχ^2 maps across the binary-lens separation s and mass ratio q to locate degenerate solutions and bound parameter uncertainties. Because every grid point requires a full light-curve optimization with finite-source magnifications, constructing these maps is often the primary computational bottleneck in event modeling. Here I present lenscape, an open-source Python package that accelerates Δχ^2 mapping and suppresses local-minimum artifacts through multi-stage neighbor propagation and adaptive contour refinement. Applied to the planetary event MOA-2022-BLG-091, lenscape reproduces the published 50×50 map in 14 minutes and generates a 400×400 map in under two hours on a desktop computer.
ER  -