| Abstract: | The reconstruction of event-level information, such as the direction or
energy of a neutrino interacting in IceCube DeepCore, is a crucial ingredient
to many physics analyses. Algorithms to extract this high level information
from the detector’s raw data have been successfully developed and used for high
energy events. In this work, we address unique challenges associated with the
reconstruction of lower energy events in the range of a few to hundreds of GeV
and present two separate, state-of-the-art algorithms. One algorithm focuses on
the fast directional reconstruction of events based on unscattered light. The
second algorithm is a likelihood-based multipurpose reconstruction offering
superior resolutions, at the expense of larger computational cost. |
REGISTER
Did you like this article? 
