Nonparametric semisupervised classification for signal detection in high energy physics

Understand

Model-independent searches in particle physics aim at completing our knowledge of the universe by looking for new possible particles not predicted by the current theories.

• Such particles, referred to as signal, are expected to behave as a deviation from the background, representing the known physics.
• Information available on the background can be incorporated in the search, in order to identify potential anomalies.
• From a statistical perspective, the problem is recasted to a peculiar classification one where only partial information is accessible.