Boosting (in)direct detection of dark matter

作者: Lina Necib

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摘要: In this thesis, I study the expected direct and indirect detection signals of dark matter. More precisely, three aspects matter; use hydrodynamic simulations to extract properties weakly interacting matter that are relevant for both signals, construct viable models with interesting experimental signatures. First, analyze full scale Illustris simulation, find Galactic be largely symmetric, while extragalactic not, due recent mergers presence substructure. Second, through high resolution Milky Way simulation Eris, metal-poor halo stars can used as tracers velocity distribution. Sloan Digital Sky Survey obtain first empirical distribution matter, which weakens limits by up an order magnitude at masses

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