A Unified Analytic Framework for Microlensing Caustics: Geode Solutions and Hyper--Catalan Signatures
Gleb Berloff, Natalia G. Berloff
TL;DR
The paper develops a preparation-invariant analytic framework that reduces local microlensing image formation near caustics to a single HC series via a geode variable $m$ satisfying $m=U\varphi(m)$. It provides explicit steps (Weierstrass preparation, cyclotomic products, square-free reduction, Lagrange normalization) and yields HC coefficients, a certified radius $\rho_U$, and a majorant to bound truncation error, enabling stable seeds and Newton polishing to recover exact images within the certified domain. The framework is demonstrated on multiple examples (folds and cusps in artificial and physical multi-lens settings), including a decic cusp with a resonant unit and triple-lens cusps, showing machine-precision reconstruction and continuous continuation across catastrophes. By introducing HC signature and HC spectrum as preparation-invariant moduli, the work provides a degree-agnostic, analytic taxonomy that supports differentiable photometric and astrometric modeling and gradient-based inference, with clear paths toward real-time application in surveys like OGLE and Roman.
Abstract
We give a preparation-invariant analytic description of image formation near microlensing caustics. After a local Weierstrass preparation at any multiple image (order $d\ge2$), the lens mapping reduces to a single geode variable $m$ satisfying $m=U\,\varphi(m)$, where $U$ is a prepared source coordinate and $\varphi$ is an image-side kernel. The coefficients of $m(U)$ obey closed Hyper-Catalan (HC) recurrences, allowing termwise derivatives and truncation control from the characteristic system. We also use the same form for a short HC predictor-corrector: evaluate the series within its certified radius and apply a brief Newton polish near the boundary. We define an HC signature (first nonzero kernel coefficients) and an HC spectrum (branch points and analyticity radius $ρ_U$), which quantify sparsity, stiffness, and safe evaluation domains. The construction covers folds and cusps of any global degree. On a binary fold and cusp, an artificial decic with a resonant unit, and two triple-lens cusps of a challenging geometry, HC seeds plus a few Newton steps recover the exact images to machine precision within the certified domain and maintain continuity under continuation. The resulting single-series templates (with $(\mathrm{Sig}_R,ρ_U)$ metadata) are ready for photometric and astrometric modeling.
