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Inferring dark matter substructure with astrometric lensing beyond the power spectrum

Mishra-Sharma, Siddharth

Astrometry-the precise measurement of positions and motions of celestial objects-has emerged as a promising avenue for characterizing the dark matter population in our Galaxy. By leveraging recent advances in simulation-based inference and neural network architectures, we introduce a novel method to search for global dark matter-induced gravitatio…