Published in
arXiv, 2022
DOI: 10.48550/arxiv.2203.02303
SpringerOpen, The European Physical Journal C, 9(82), 2022
DOI: 10.1140/epjc/s10052-022-10721-2
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Low energy event reconstruction in IceCube DeepCore
,
C. P. de los Heros,
N. van Eijndhoven,
J. van Santen,
R. Abbasi,
M. Ackermann,
J. Adams,
Ja A. Aguilar,
Markus Ahlers,
M. Ahrens,
Jm M. Alameddine,
T. Anderson,
G. Anton,
Nm M. Amin,
C. Argüelles
and other authors.
Abstract
AbstractThe 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.