A new field validation framework for wearable light loggers demonstrates high agreement (R²=0.988-0.990) with reference instruments but systematic underestimation, with performance stabilizing at ~100 diverse scenes and consistent across sites.
Kulesa et al., Sampling distributions and the bootstrap
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A timing-based data-driven method to measure single-particle corner-clipping probabilities in segmented detectors, validated on Pierre Auger Underground Muon Detector simulations and parameterized by an analytical model.
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Scene-based field validation of wearable light loggers
A new field validation framework for wearable light loggers demonstrates high agreement (R²=0.988-0.990) with reference instruments but systematic underestimation, with performance stabilizing at ~100 diverse scenes and consistent across sites.
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A data-driven method for measuring corner-clipping probabilities in segmented particle detectors
A timing-based data-driven method to measure single-particle corner-clipping probabilities in segmented detectors, validated on Pierre Auger Underground Muon Detector simulations and parameterized by an analytical model.