arXiv (OAI Expanded)
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Density-Guided Conditional Neural Processes for Detector Efficiency Estimation
Selection efficiency connects observed counts to physical rates and rare-event search limits. With scarce calibration data, strong smoothing can erase sharp physical changes, while highly flexible models can overfit the data and mistake statistical fluctuations for physical structure. We introduce a
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