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Showing 1 to 1 of 1 for “"Dark Matter - WIMP - LAr TPC - Machine Learning - Autoencoders"”.
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Characterization of electroluminescence signals from nuclear recoil events in the dual-phase argon Time Projection Chamber of the Red experiment with Convolutional Autoencoders
The nature of dark matter, which constitutes 26% of the mass-energy content of the Universe, remains a key mystery in astroparticle physics. Among the most compelling dark matter candidates are Weakly Interacting Massive Particles (WIMPs), whose thermal relic abundance from the Big Bang aligns with …