Citizen science for IceCube: Name that Neutrino

IceCube Collaboration; Else Magnus; Yarno Merckx; Paul Coppin; Yunior Pacheco Correa; Catherine De Clercq; Krijn De Vries; Nicolaas Van Eijndhoven

doi:10.1140/epjp/s13360-024-05179-y

Citizen science for IceCube: Name that Neutrino

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Abstract

Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.

Original language	English
Article number	533
Number of pages	9
Journal	The European Physical Journal Plus
Volume	139
Issue number	6
DOIs	https://doi.org/10.1140/epjp/s13360-024-05179-y
Publication status	Published - 18 Jun 2024

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Publisher Copyright:
© The Author(s) 2024.

Keywords

Astrophysics - High Energy Astrophysical Phenomena

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10.1140/epjp/s13360-024-05179-yLicence: CC BY

122056992Final published version, 1.49 MBLicence: CC BY

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title = "Citizen science for IceCube: Name that Neutrino",

abstract = "Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.",

keywords = "Astrophysics - High Energy Astrophysical Phenomena",

author = "\{IceCube Collaboration\} and Else Magnus and Yarno Merckx and Paul Coppin and \{Pacheco Correa\}, Yunior and \{De Clercq\}, Catherine and \{De Vries\}, Krijn and \{Van Eijndhoven\}, Nicolaas",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2024",

month = jun,

day = "18",

doi = "10.1140/epjp/s13360-024-05179-y",

language = "English",

volume = "139",

journal = "The European Physical Journal Plus",

issn = "2190-5444",

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TY - JOUR

T1 - Citizen science for IceCube: Name that Neutrino

AU - IceCube Collaboration

AU - Magnus, Else

AU - Merckx, Yarno

AU - Coppin, Paul

AU - Pacheco Correa, Yunior

AU - De Clercq, Catherine

AU - De Vries, Krijn

AU - Van Eijndhoven, Nicolaas

PY - 2024/6/18

Y1 - 2024/6/18

N2 - Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.

AB - Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.

KW - Astrophysics - High Energy Astrophysical Phenomena

UR - https://www.scopus.com/pages/publications/85196407594

U2 - 10.1140/epjp/s13360-024-05179-y

DO - 10.1140/epjp/s13360-024-05179-y

M3 - Article

SN - 2190-5444

VL - 139

JO - The European Physical Journal Plus

JF - The European Physical Journal Plus

IS - 6

M1 - 533

ER -

Citizen science for IceCube: Name that Neutrino

Abstract

Bibliographical note

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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).

FWOTM1076: IceCube Search for High-Energy Neutrinos from Obscured Sources in the Great Observatories All-Sky LIRG Survey (GOALS)

Cite this

Citizen science for IceCube: Name that Neutrino

Abstract

Bibliographical note

Keywords

Access to Document

Handle.net

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).

FWOTM1076: IceCube Search for High-Energy Neutrinos from Obscured Sources in the Great Observatories All-Sky LIRG Survey (GOALS)

Cite this