16-17 July 2020
Virtual
Europe/Berlin timezone
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Contribution

Virtual -

Anomaly detection with RanBox

Speakers

  • Tommaso DORIGO

Primary authors

Content

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.