Searches for new physics in collision events using a statistical technique for anomaly detection

We discuss  a statistical anomaly-detection method for model-independent searches for new physics in collision events produced at the Large

Hadron Collider (LHC). The method requires calculations of Z-scores for a large number of variables to identify events that deviate from those

expected for the Standard Model (SM).  A comparison with the autoencoder method for anomaly detection is discussed.