16-17 July 2020
Europe/Berlin timezone
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Virtual -

Anomaly detection with RanBox


  • Tommaso DORIGO

Primary authors


The search for anomalies in HEP data has to reckon with large-dimensional spaces, with features whose PDF varies widely over their support. RanBox addresses this challenge by the combination of PCA and the integral transform, flattening all marginals and then searching for overdensities in the copula space. The algorithm is able to spot injected signals of down to a few permille fractions in toy examples with few tens of thousand events in 20-dimensional spaces.