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Unsupervised anomaly detection has become a pivotal technique for model-independent searches for new physics at the LHC. In high-energy physics (HEP), anomaly detection is employed to identify rare, outlier events in collision data that deviate significantly from expected distributions.

The CLHEP project was proposed by Leif Lönnblad at CHEP 92. It is intended to be a set of HEP-specific foundation and utility classes such as random generators, physics vectors, geometry and linear algebra. https://proj-clhep.web.cern.ch/proj-clhep/

DCube produces comparison plots of an ART job's output with a fixed reference, or a previous nightly. The results can be automatically uploaded to the ART web directory and viewed as a Web App.

The Gaudi project is an open project for providing the necessary interfaces and services for building HEP experiment frameworks in the domain of event data processing applications. The Gaudi framework is experiment independent.

Public documentation of CERNBox (cernbox.docs.cern.ch)