Neural-network-based level-1 trigger upgrade for the SuperCDMS experiment at SNOLAB
Neural-network-based level-1 trigger upgrade for the SuperCDMS experiment at SNOLAB
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
The extended physics program of the SuperCDMS SNOLAB dark matter search experiment aims to maximize the sensitivity to low-mass dark matter. To realize this, an upgrade of the existing level-1 trigger of the data acquisition system is proposed by making use of a recurrent neural network to be implemented on the trigger FPGA. This provides an improv...
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Full title
Neural-network-based level-1 trigger upgrade for the SuperCDMS experiment at SNOLAB
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TN_cdi_proquest_journals_2754998148
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2754998148
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2212.07864
