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Low energy event reconstruction in IceCube DeepCore
Journal article   Open access

Low energy event reconstruction in IceCube DeepCore

R. Abbasi, M. Ackermann, J. Adams, J. A. Aguilar, M. Ahlers, M. Ahrens, J. M. Alameddine, A. A. Alves, N. M. Amin, K. Andeen, …
The European physical journal. C, Particles and fields, v 82(9), 807
09 Sep 2022
url
https://doi.org/10.1140/epjc/s10052-022-10721-2View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Astrophysics and Cosmology Elementary Particles Hadrons Heavy Ions Measurement Science and Instrumentation Nuclear Energy Physics and Astronomy Quantum Field Theories Regular Article - Experimental Physics Astronomy Nuclear Physics Physics Quantum Field Theory String Theory
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.

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Physics, Particles & Fields
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