Quantile regression applied to a pre-trained anomaly score removes its correlation with primary trigger observables, restoring trigger efficiency for low-mass anomalies.
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DECADE: Decorrelated anomaly detection triggers to enhance the low-mass discovery potential of the LHC
Quantile regression applied to a pre-trained anomaly score removes its correlation with primary trigger observables, restoring trigger efficiency for low-mass anomalies.