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Microlensing near macro-caustics

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arxiv 2404.08094 v1 pith:7WDGAMJW submitted 2024-04-11 astro-ph.GA

classification astro-ph.GA
keywords microlensingdarkmacro-causticsmagnificationmattermicro-imagesnearstars
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Microlensing near macro-caustics is a complex phenomenon in which swarms of micro-images produced by micro-caustics form on both sides of a macro-critical curve. Recent discoveries of highly magnified images of individual stars in massive galaxy cluster lenses, predicted to be formed by these micro-image swarms, have stimulated studies on this topic. In this Chapter, we explore microlensing near macro-caustics using both simulations and analytic calculations. We show that the mean total magnification of the micro-image swarms follows that of an extended source in the absence of microlensing. Micro-caustics join into a connected network in a region around the macro-critical line of a width proportional to the surface density of microlenses; within this region, the increase of the mean magnification toward the macro-caustic is driven by the increase of the number of micro-images rather than individual magnifications of micro-images. The maximum achievable magnification in micro-caustic crossings decreases with the mass fraction in microlenses. We conclude with a review of applications of this microlensing phenomenon, including limits to the fraction of dark matter in compact objects, and searches of Population III stars and dark matter subhalos. We argue that the discovered highly magnified stars at cosmological distances already imply that less than $\sim$ 10\% of the dark matter may be in the form of compact objects with mass above $\sim 10^{-6}\, M_{\odot}$.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Kinematic Mapping of Giant Arcs: A New Method to Locate Lensing Critical Curves

    astro-ph.GA 2025-11 conditional novelty 6.0 of 10

    A kinematic-mapping technique locates the critical curve of a cluster lens from velocity maps of a giant arc, reaching 0.23-arcsecond uncertainty on the Dragon Arc.

  2. Is Earendel a Star Cluster?: Metal Poor Globular Cluster Progenitors at $z\sim6$

    astro-ph.GA 2025-07 conditional novelty 6.0 of 10

    JWST spectra show Earendel's continuum is well fitted by a simple stellar population, suggesting it may be a young, metal-poor star cluster rather than a single star.

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