Dark Matter Substructure Probed via Image Number Anomalies in Strong Lensing Systems

This paper investigates the use of image number anomalies in strong lensing systems to probe dark matter substructure. The presence of dark matter substructure can perturb gravitational lensing, leading to the formation of extra images in otherwise canonical doubly or quadruply imaged systems. The authors utilize this phenomenon to derive constraints on dark matter substructure, specifically primordial black holes (PBHs) and fuzzy dark matter (FDM). They present the extra images induced by distinct forms of DM substructure and show that higher angular resolution observations increase the probability of detecting additional lensed images. Based on a null detection of image number anomalies in a sample of 3500 lens systems, they derive upper limits on the abundance of PBHs and exclude certain particle masses for FDM. The results demonstrate the potential of image number anomalies as a probe of dark matter substructure and highlight the importance of high-resolution observations for constraining dark matter properties. Future research should focus on improving lens models and developing more sophisticated methods for identifying image number anomalies in complex lensing systems. The implications of this research extend to the broader field of dark matter research, potentially leading to the detection or exclusion of specific dark matter candidates and a better understanding of the nature of dark matter.

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