Low Energy Event Reconstruction in IceCube DeepCore

IceCube Collaboration

doi:10.1140/epjc/s10052-022-10721-2

Low Energy Event Reconstruction in IceCube DeepCore

IceCube Collaboration

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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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.

Original language	English
Article number	807
Number of pages	21
Journal	Eur. Phys. J. C
Volume	82
Issue number	9
DOIs	https://doi.org/10.1140/epjc/s10052-022-10721-2
Publication status	Published - 9 Sep 2022

Bibliographical note

Funding Information:
USA \u2013 U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin\u2013Madison, Open Science Grid (OSG), Extreme Science and Engineering Discovery Environment (XSEDE), Frontera computing project at the Texas Advanced Computing Center, U.S. Department of Energy-National Energy Research Scientific Computing Center, Particle astrophysics research computing center at the University of Maryland, Institute for Cyber-Enabled Research at Michigan State University, and Astroparticle physics computational facility at Marquette University; Belgium \u2013 Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany \u2013 Bundesministerium f\u00FCr Bildung und Forschung (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association, Deutsches Elektronen Synchrotron (DESY), and High Performance Computing cluster of the RWTH Aachen; Sweden \u2013 Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; Australia \u2013 Australian Research Council; Canada \u2013 Natural Sciences and Engineering Research Council of Canada, Calcul Qu\u00E9bec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Compute Canada; Denmark \u2013 Villum Fonden and Carlsberg Foundation; New Zealand \u2013 Marsden Fund; Japan \u2013 Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea \u2013 National Research Foundation of Korea (NRF); Switzerland \u2013 Swiss National Science Foundation (SNSF); United Kingdom \u2013 Department of Physics, University of Oxford.

Publisher Copyright:
© 2022, The Author(s).

Keywords

hep-ex
astro-ph.IM
physics.data-an
physics.ins-det

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10.1140/epjc/s10052-022-10721-2Licence: CC BY

Cite this

@article{c977233f558943588f346e72fee24040,

title = "Low Energy Event Reconstruction in IceCube DeepCore",

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. ",

keywords = "hep-ex, astro-ph.IM, physics.data-an, physics.ins-det",

author = "{IceCube Collaboration} and Paul Coppin and {Correa Camiroaga}, Pablo and {De Clercq}, Catherine and {De Vries}, Krijn and {Van Eijndhoven}, Nicolaas",

note = "Funding Information: USA \u2013 U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin\u2013Madison, Open Science Grid (OSG), Extreme Science and Engineering Discovery Environment (XSEDE), Frontera computing project at the Texas Advanced Computing Center, U.S. Department of Energy-National Energy Research Scientific Computing Center, Particle astrophysics research computing center at the University of Maryland, Institute for Cyber-Enabled Research at Michigan State University, and Astroparticle physics computational facility at Marquette University; Belgium \u2013 Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany \u2013 Bundesministerium f\u00FCr Bildung und Forschung (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association, Deutsches Elektronen Synchrotron (DESY), and High Performance Computing cluster of the RWTH Aachen; Sweden \u2013 Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; Australia \u2013 Australian Research Council; Canada \u2013 Natural Sciences and Engineering Research Council of Canada, Calcul Qu\u00E9bec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Compute Canada; Denmark \u2013 Villum Fonden and Carlsberg Foundation; New Zealand \u2013 Marsden Fund; Japan \u2013 Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea \u2013 National Research Foundation of Korea (NRF); Switzerland \u2013 Swiss National Science Foundation (SNSF); United Kingdom \u2013 Department of Physics, University of Oxford. Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = sep,

day = "9",

doi = "10.1140/epjc/s10052-022-10721-2",

language = "English",

volume = "82",

journal = "European Physical Journal C - Particles & Fields",

issn = "1434-6044",

publisher = "Springer Verlag",

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TY - JOUR

T1 - Low Energy Event Reconstruction in IceCube DeepCore

AU - IceCube Collaboration

AU - Coppin, Paul

AU - Correa Camiroaga, Pablo

AU - De Clercq, Catherine

AU - De Vries, Krijn

AU - Van Eijndhoven, Nicolaas

N1 - Funding Information: USA \u2013 U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin\u2013Madison, Open Science Grid (OSG), Extreme Science and Engineering Discovery Environment (XSEDE), Frontera computing project at the Texas Advanced Computing Center, U.S. Department of Energy-National Energy Research Scientific Computing Center, Particle astrophysics research computing center at the University of Maryland, Institute for Cyber-Enabled Research at Michigan State University, and Astroparticle physics computational facility at Marquette University; Belgium \u2013 Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany \u2013 Bundesministerium f\u00FCr Bildung und Forschung (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association, Deutsches Elektronen Synchrotron (DESY), and High Performance Computing cluster of the RWTH Aachen; Sweden \u2013 Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; Australia \u2013 Australian Research Council; Canada \u2013 Natural Sciences and Engineering Research Council of Canada, Calcul Qu\u00E9bec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Compute Canada; Denmark \u2013 Villum Fonden and Carlsberg Foundation; New Zealand \u2013 Marsden Fund; Japan \u2013 Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea \u2013 National Research Foundation of Korea (NRF); Switzerland \u2013 Swiss National Science Foundation (SNSF); United Kingdom \u2013 Department of Physics, University of Oxford. Publisher Copyright: © 2022, The Author(s).

PY - 2022/9/9

Y1 - 2022/9/9

N2 - 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.

AB - 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.

KW - hep-ex

KW - astro-ph.IM

KW - physics.data-an

KW - physics.ins-det

UR - http://www.scopus.com/inward/record.url?scp=85138172958&partnerID=8YFLogxK

U2 - 10.1140/epjc/s10052-022-10721-2

DO - 10.1140/epjc/s10052-022-10721-2

M3 - Article

VL - 82

JO - European Physical Journal C - Particles & Fields

JF - European Physical Journal C - Particles & Fields

SN - 1434-6044

IS - 9

M1 - 807

ER -

Low Energy Event Reconstruction in IceCube DeepCore

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

FWOIRI11: Exploring the Extreme Universe with the (Extended) IceCube Neutrino and Cosmic Ray Observatory at the South Pole

SRP72: SRP-Onderzoekszwaartepunt: High-energy physics (HEP@VUB).

EU590: RadNu: Radio detection of the PeV - EeV cosmic-neutrino flux

Cite this

Low Energy Event Reconstruction in IceCube DeepCore

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Projects

FWOIRI11: Exploring the Extreme Universe with the (Extended) IceCube Neutrino and Cosmic Ray Observatory at the South Pole

SRP72: SRP-Onderzoekszwaartepunt: High-energy physics (HEP@VUB).

EU590: RadNu: Radio detection of the PeV - EeV cosmic-neutrino flux

Cite this