Speaker
Description
The new Faint Particle Trigger (FPT) in IceCube was developed with the intention of reaching a higher sensitivity for faint signals in the IceCube detector. Instead of customary triggers, which are based on local coincidences between multiple modules in the detector, it also uses isolated hits. Therefore it is especially suited for the search for faint signals in the detector. Examples are fractionally charged particles, which should produce less Cherenkov light in comparison to muons because of their smaller charge, or other non-standard model particles.
This presentation shows first efforts in reconstructing events that were triggered by the FPT. It focusses on existing cleaning and reconstruction methods used in IceCube and investigations on how these can be adapted to take advantage of the additional hits which are registered by the FPT. Additionally reconstruction methods based on machine learning will be adapted to the new triggered events in the future.
