Engineering a New Dark Matter Detector
https://spectrum.ieee.org/dark-matter-machine-learning
What will it take to detect dark matter—the invisible, nigh-intangible substance that might make up five-sixths of all matter in the universe? Dark matter should be all around us, exerting tiny effects on normal matter, but searches have come up empty so far. But a new study suggests that a strategy employing machine learning could help quantum sensors finally hunt it down. Such hyper-sensitive sensors may also have other applications, such as GPS-free navigation, the detection of underground bunkers, and the discovery of gravitational ripples in space-time from the moments after the Big Bang.
originally posted at https://stacker.news/items/848974
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2025-01-13 19:49:07
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npub1k3qrkfq45qsvyp53hvvv2xk6tt9kfdca9asfvm9nc796dq65948q9q9t9mPublished at
2025-01-13 19:49:07Event JSON
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"content": "Engineering a New Dark Matter Detector\nhttps://spectrum.ieee.org/dark-matter-machine-learning\n\nWhat will it take to detect dark matter—the invisible, nigh-intangible substance that might make up five-sixths of all matter in the universe? Dark matter should be all around us, exerting tiny effects on normal matter, but searches have come up empty so far. But a new study suggests that a strategy employing machine learning could help quantum sensors finally hunt it down. Such hyper-sensitive sensors may also have other applications, such as GPS-free navigation, the detection of underground bunkers, and the discovery of gravitational ripples in space-time from the moments after the Big Bang.\n\noriginally posted at https://stacker.news/items/848974",
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