MR-SCDFT augments standard multireference DFT by using stochastic fields to create reference configurations and a projection-selection step, yielding lower ground-state energies, smaller proton radii, and softer bands than conventional MR-CDFT for 20Ne, 24Mg, and 28Si.
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Gamma-only trained multilayer perceptron and likelihood classifiers achieve >2.71e4 alpha rejection in BEGe detectors with >80% signal survival and <20% background survival.
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Multireference Covariant Density Functional Theory with Stochastic Basis
MR-SCDFT augments standard multireference DFT by using stochastic fields to create reference configurations and a projection-selection step, yielding lower ground-state energies, smaller proton radii, and softer bands than conventional MR-CDFT for 20Ne, 24Mg, and 28Si.
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Pulse shape discrimination for $\alpha$ event rejection in BEGe-type high-purity germanium detectors
Gamma-only trained multilayer perceptron and likelihood classifiers achieve >2.71e4 alpha rejection in BEGe detectors with >80% signal survival and <20% background survival.