Low energy event reconstruction in IceCube DeepCore
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10052_2022_Article_10721.pdf
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3.31 MB
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Checksum (MD5)
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Author(s)
Abbasi, R.
Ackermann, M.
Adams, J.
Aguilar, J. A.
Ahlers, M.
Ahrens, M.
Alameddine, J. M.
Alves, A. A.
Amin, N. M.
Andeen, K.
Date Issued
September 9, 2022
Publisher
Springer Berlin Heidelberg
Citation
The European Physical Journal C. 2022 Sep 09;82(9):807
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1140/epjc/s10052-022-10721-2
