Analytic model for the statistics of ultra-high magnification events
Hiroki Kawai, Masamune Oguri

TL;DR
This paper develops an analytic model for the statistics of ultra-high magnification events caused by microlenses near critical curves, explaining observed phenomena and predicting complex positional probability distributions.
Contribution
It introduces a novel analytic framework for the high-magnification tail of the PDF, incorporating microlens effects and finite source size, validated against ray-tracing simulations and observations.
Findings
Model explains the dependence of the PDF on microlens mass fraction and background magnification.
Good agreement with HST observations of Icarus-like systems.
Predicts complex positional probability distributions for highly magnified events.
Abstract
Highly magnified individual stars such as Icarus and Earendel have recently been observed near critical curves of galaxy clusters with Hubble Space Telescope (HST) observations. These stars are estimated to be magnified with a factor of more than a few thousands. In addition to the smooth mass distribution in the macro-lens model, the distribution of microlenses originating from, for instance, intracluster stars affects the event rate and the peak magnification significantly. We propose an analytic model of the high-magnification tail of the probability distribution function (PDF) in which the probability is assumed to be proportional to the number of independent microlens critical curves. Our model can explain the parameter dependence of the PDF on the mass fraction of the microlenses and the background magnification seen in ray-tracing simulations. The effect of a finite source size…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
