Oct 19 – 23, 2020
Europe/Zurich timezone

Anomaly Awareness for BSM Searches at the LHC

Oct 23, 2020, 4:55 PM
Regular talk 2 ML for analysis : Application of Machine Learning to analysis, event classification and fundamental parameters inference Workshop


Charanjit Kaur Khosa


n this talk we present a new algorithm called `Anomaly Awareness’ (AA) to search for physics beyond the standard model (BSM). By making the algorithm aware of the presence of a range of different anomalies, we improve its capability to detect anomalous events, even those it had not been exposed to. As an example, we apply this method to a boosted jet topology for BSM searches at LHC and use it to uncover new resonances or EFT effects (based on arXiv:2007.14462 [cs.LG]). We will discuss AA implementation using CNNs and VAEs.

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