An automated pipeline corrects long-term efficiency drift across the 16 GRAPES-3 muon telescope modules using Bayesian block segmentation, correlation-based reference selection, and Savitzky-Golay smoothing.
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An automated algorithmic method to mitigate long-term variations in the efficiency of the GRAPES-3 muon telescope
An automated pipeline corrects long-term efficiency drift across the 16 GRAPES-3 muon telescope modules using Bayesian block segmentation, correlation-based reference selection, and Savitzky-Golay smoothing.