Fast low energy reconstruction using Convolutional Neural Networks

R Abbasi; M Ackermann; J Adams; S.K Agarwalla; J.A Aguilar; M Ahlers; J.M Alameddine; N.M Amin; K Andeen; C Argüelles; Y Ashida; S Athanasiadou; S.N Axani; R Babu; X Bai; A Balagopal V; M Baricevic; S.W Barwick; S Bash; V Basu; R Bay; J.J Beatty; J. Becker Tjus; P Behrens; J Beise; C Bellenghi; S BenZvi; D Berley; E Bernardini; D Z Besson; E Blaufuss; L Bloom; S Blot; F Bontempo; J.Y Book Motzkin; C. Boscolo Meneguolo; S Böser; O Botner; J Böttcher; J Braun; B Brinson; Z Brisson-Tsavoussis; R.T Burley; D Butterfield; M.A Campana; K Carloni; J Carpio; S Chattopadhyay; N Chau; Z Chen; D Chirkin; S Choi; B.A Clark; A Coleman; P Coleman; G.H Collin; A Connolly; J.M Conrad; R Corley; D.F Cowen; C De Clercq; J.J DeLaunay; D Delgado; S Deng; A Desai; P Desiati; K.D de Vries; G de Wasseige; T DeYoung; J.C Díaz-Vélez; S DiKerby; M Dittmer; A Domi; L Draper; L Dueser; H Dujmovic; D Durnford; K Dutta; M.A DuVernois; T Ehrhardt; L Eidenschink; A Eimer; P Eller; E Ellinger; D Elsässer; R Engel; H Erpenbeck; W Esmail; J Evans; P.A Evenson; K.L Fan; K Fang; K Farrag; A.R Fazely; A Fedynitch; N Feigl; C Finley; L Fischer; D Fox; A Franckowiak; S Fukami; P Fürst; J Gallagher; E Ganster; A Garcia; M Garcia; G Garg; E Genton; L Gerhardt; A Ghadimi; C Glaser; T Glüsenkamp; J.G Gonzalez; S Goswami; A Granados; D Grant; S.J Gray; S Griffin; S Griswold; K.M Groth; D Guevel; C Günther; P Gutjahr; C Ha; C Haack; A Hallgren; L Halve; F Halzen; L Hamacher; M Ha Minh; M Handt; K Hanson; J Hardin; A.A Harnisch; P Hatch; A Haungs; J Häußler; K Helbing; J Hellrung; L Hennig; L Heuermann; R Hewett; N Heyer; S Hickford; A Hidvegi; C Hill; G.C Hill; R Hmaid; K.D Hoffman; S Hori; K Hoshina; M Hostert; W Hou; T Huber; K Hultqvist; R Hussain; K Hymon; A Ishihara; W Iwakiri; M Jacquart; S Jain; O Janik; M Jansson; M Jeong; M Jin; N Kamp; D Kang; W Kang; X Kang; A Kappes; L Kardum; T Karg; M Karl; A Karle; A Katil; M Kauer; J.L Kelley; M Khanal; A Khatee Zathul; A Kheirandish; H Kimku; J Kiryluk; C Klein; S.R Klein; Y Kobayashi; A Kochocki; R Koirala; H Kolanoski; T Kontrimas; L Köpke; C Kopper; D.J Koskinen; P Koundal; M Kowalski; T Kozynets; N Krieger; J Krishnamoorthi; T Krishnan; K Kruiswijk; E Krupczak; A Kumar; E Kun; N Kurahashi; N Lad; C Lagunas Gualda; M Lamoureux; M.J Larson; F Lauber; J.P Lazar; K Leonard DeHolton; A Leszczyńska; J Liao; Y.T Liu; M Liubarska; C Love; L Lu; F Lucarelli; W Luszczak; Y Lyu; J Madsen; E Magnus; K.B.M Mahn; Y Makino; E Manao; S Mancina; A Mand; W Marie Sainte; I.C Mariş; S Marka; Z Marka; L Marten; I Martinez-Soler; R Maruyama; F Mayhew; F McNally; J.V Mead; K Meagher; S Mechbal; A Medina; M Meier; Y Merckx; L Merten; J Micallef; J Mitchell; L Molchany; T Montaruli; R.W Moore; Y Morii; R Morse; A Mosbrugger; M Moulai; T Mukherjee; R Naab; M Nakos; U Naumann; J Necker; L Neste; M Neumann; H Niederhausen; M.U Nisa; K Noda; A Noell; A Novikov; A Obertacke Pollmann; V O'Dell; A Olivas; R Orsoe; J Osborn; E O'Sullivan; V Palusova; H Pandya; A Parenti; N Park; V Parrish; E.N Paudel; L Paul; C Pérez de los Heros; T Pernice; J Peterson; A Pizzuto; M Plum; A Pontén; V Poojyam; Y Popovych; M Prado Rodriguez; B Pries; R Procter-Murphy; G.T Przybylski; L Pyras; C Raab; J Rack-Helleis; N Rad; M Ravn; K Rawlins; Z Rechav; A Rehman; I Reistroffer; E Resconi; S Reusch; C.D Rho; W Rhode; B Riedel; A Rifaie; E.J Roberts; S Robertson; S Rodan; M Rongen; A Rosted; C Rott; T Ruhe; L Ruohan; I Safa; J Saffer; D Salazar-Gallegos; P Sampathkumar; A Sandrock; M Santander; S Sarkar; J Savelberg; P Savina; P Schaile; M Schaufel; H Schieler; S Schindler; L Schlickmann; B Schlüter; F Schlüter; N Schmeisser; T Schmidt; F.G Schröder; L Schumacher; S Schwirn; S Sclafani; D Seckel; L Seen; M Seikh; M Seo; S Seunarine; P.A Sevle Myhr; R Shah; S Shefali; N Shimizu; M Silva; B Skrzypek; R Snihur; J Soedingrekso; A Søgaard; D Soldin; P Soldin; G Sommani; C Spannfellner; G.M Spiczak; C Spiering; Juliana Stachurska; M Stamatikos; T Stanev; T Stezelberger; T Stürwald; T Stuttard; G.W Sullivan; I Taboada; S Ter-Antonyan; A Terliuk; A Thakuri; M Thiesmeyer; W.G Thompson; J Thwaites; S Tilav; K Tollefson; C Tönnis; S Toscano; D Tosi; A Trettin; M.A Unland Elorrieta; A.K Upadhyay; K Upshaw; A Vaidyanathan; N Valtonen-Mattila; J Vandenbroucke; T Van Eeden; N van Eijndhoven; J van Santen; J Vara; F Varsi; J Veitch-Michaelis; M Venugopal; M Vereecken; S. Vergara Carrasco; S Verpoest; D Veske; A Vijai; J Villarreal; C Walck; A Wang; E Warrick; C Weaver; P Weigel; A Weindl; A.Y Wen; C Wendt; J Werthebach; M Weyrauch; N Whitehorn; C.H Wiebusch; D.R Williams; J Willison; L Witthaus; M Wolf; G Wrede; X.W Xu; J.P Yañez; E Yildizci; S Yoshida; R Young; F Yu; S Yu; T Yuan; A Zegarelli; S Zhang; Z Zhang; P Zhelnin; P Zilberman; M Zimmerman; Ice Cube Collaboration

doi:10.1088/1748-0221/21/02/P02020

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Fast low energy reconstruction using Convolutional Neural Networks

Journal article

Open access

Peer reviewed

Fast low energy reconstruction using Convolutional Neural Networks

R Abbasi, M Ackermann, J Adams, S.K Agarwalla, J.A Aguilar, M Ahlers, J.M Alameddine, N.M Amin, K Andeen, C Argüelles, …

Journal of instrumentation : an IOP and SISSA journal, Vol.21(2), P02020

02/2026

DOI: 10.1088/1748-0221/21/02/P02020

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https://doi.org/10.1088/1748-0221/21/02/P02020View

Published (Version of record) Open Access

Abstract

IceCube is a Cherenkov detector instrumenting over a cubic kilometer of glacial ice deep under the surface of the South Pole. The DeepCore sub-detector lowers the detection energy threshold to a few GeV, enabling the precise measurements of neutrino oscillation parameters with atmospheric neutrinos. The reconstruction of neutrino interactions inside the detector is essential in studying neutrino oscillations. It is particularly challenging to reconstruct sub-100 GeV events with the IceCube detectors due to the relatively sparse detection units and detection medium. Convolutional neural networks (CNNs) are broadly used in physics experiments for both classification and regression purposes. This paper discusses the CNNs developed and employed for the latest IceCube-DeepCore oscillation measurements [1]. These CNNs estimate various properties of the detected neutrinos, such as their energy, direction of arrival, interaction vertex position, flavor-related signature, and are also used for background classification.

Analysis and statistical methods

Performance of High Energy Physics Detectors

Details

Title: Subtitle: Fast low energy reconstruction using Convolutional Neural Networks
Creators: R Abbasi
M Ackermann
J Adams
S.K Agarwalla
J.A Aguilar
M Ahlers
J.M Alameddine
N.M Amin
K Andeen
C Argüelles
Y Ashida
S Athanasiadou
S.N Axani
R Babu
X Bai
A Balagopal V
M Baricevic
S.W Barwick
S Bash
V Basu
R Bay
J.J Beatty
J. Becker Tjus
P Behrens
J Beise
C Bellenghi
S BenZvi
D Berley
E Bernardini
D Z Besson
E Blaufuss
L Bloom
S Blot
F Bontempo
J.Y Book Motzkin
C. Boscolo Meneguolo
S Böser
O Botner
J Böttcher
J Braun
B Brinson
Z Brisson-Tsavoussis
R.T Burley
D Butterfield
M.A Campana
K Carloni
J Carpio
S Chattopadhyay
N Chau
Z Chen
D Chirkin
S Choi
B.A Clark
A Coleman
P Coleman
G.H Collin
A Connolly
J.M Conrad
R Corley
D.F Cowen
C De Clercq
J.J DeLaunay
D Delgado
S Deng
A Desai
P Desiati
K.D de Vries
G de Wasseige
T DeYoung
J.C Díaz-Vélez
S DiKerby
M Dittmer
A Domi
L Draper
L Dueser
H Dujmovic
D Durnford
K Dutta
M.A DuVernois
T Ehrhardt
L Eidenschink
A Eimer
P Eller
E Ellinger
D Elsässer
R Engel
H Erpenbeck
W Esmail
J Evans
P.A Evenson
K.L Fan
K Fang
K Farrag
A.R Fazely
A Fedynitch
N Feigl
C Finley
L Fischer
D Fox
A Franckowiak
S Fukami
P Fürst
J Gallagher
E Ganster
A Garcia
M Garcia
G Garg
E Genton
L Gerhardt
A Ghadimi
C Glaser
T Glüsenkamp
J.G Gonzalez
S Goswami
A Granados
D Grant
S.J Gray
S Griffin
S Griswold
K.M Groth
D Guevel
C Günther
P Gutjahr
C Ha
C Haack
A Hallgren
L Halve
F Halzen
L Hamacher
M Ha Minh
M Handt
K Hanson
J Hardin
A.A Harnisch
P Hatch
A Haungs
J Häußler
K Helbing
J Hellrung
L Hennig
L Heuermann
R Hewett
N Heyer
S Hickford
A Hidvegi
C Hill
G.C Hill
R Hmaid
K.D Hoffman
S Hori
K Hoshina
M Hostert
W Hou
T Huber
K Hultqvist
R Hussain
K Hymon
A Ishihara
W Iwakiri
M Jacquart
S Jain
O Janik
M Jansson
M Jeong
M Jin
N Kamp
D Kang
W Kang
X Kang
A Kappes
L Kardum
T Karg
M Karl
A Karle
A Katil
M Kauer
J.L Kelley
M Khanal
A Khatee Zathul
A Kheirandish
H Kimku
J Kiryluk
C Klein
S.R Klein
Y Kobayashi
A Kochocki
R Koirala
H Kolanoski
T Kontrimas
L Köpke
C Kopper
D.J Koskinen
P Koundal
M Kowalski
T Kozynets
N Krieger
J Krishnamoorthi
T Krishnan
K Kruiswijk
E Krupczak
A Kumar
E Kun
N Kurahashi
N Lad
C Lagunas Gualda
M Lamoureux
M.J Larson
F Lauber
J.P Lazar
K Leonard DeHolton
A Leszczyńska
J Liao
Y.T Liu
M Liubarska
C Love
L Lu
F Lucarelli
W Luszczak
Y Lyu
J Madsen
E Magnus
K.B.M Mahn
Y Makino
E Manao
S Mancina
A Mand
W Marie Sainte
I.C Mariş
S Marka
Z Marka
L Marten
I Martinez-Soler
R Maruyama
F Mayhew
F McNally
J.V Mead
K Meagher
S Mechbal
A Medina
M Meier
Y Merckx
L Merten
J Micallef
J Mitchell
L Molchany
T Montaruli
R.W Moore
Y Morii
R Morse
A Mosbrugger
M Moulai
T Mukherjee
R Naab
M Nakos
U Naumann
J Necker
L Neste
M Neumann
H Niederhausen
M.U Nisa
K Noda
A Noell
A Novikov
A Obertacke Pollmann
V O'Dell
A Olivas
R Orsoe
J Osborn
E O'Sullivan
V Palusova
H Pandya
A Parenti
N Park
V Parrish
E.N Paudel
L Paul
C Pérez de los Heros
T Pernice
J Peterson
A Pizzuto
M Plum
A Pontén
V Poojyam
Y Popovych
M Prado Rodriguez
B Pries
R Procter-Murphy
G.T Przybylski
L Pyras
C Raab
J Rack-Helleis
N Rad
M Ravn
K Rawlins
Z Rechav
A Rehman
I Reistroffer
E Resconi
S Reusch
C.D Rho
W Rhode
B Riedel
A Rifaie
E.J Roberts
S Robertson
S Rodan
M Rongen
A Rosted
C Rott
T Ruhe
L Ruohan
I Safa
J Saffer
D Salazar-Gallegos
P Sampathkumar
A Sandrock
M Santander
S Sarkar
J Savelberg
P Savina
P Schaile
M Schaufel
H Schieler
S Schindler
L Schlickmann
B Schlüter
F Schlüter
N Schmeisser
T Schmidt
F.G Schröder
L Schumacher
S Schwirn
S Sclafani
D Seckel
L Seen
M Seikh
M Seo
S Seunarine
P.A Sevle Myhr
R Shah
S Shefali
N Shimizu
M Silva
B Skrzypek
R Snihur
J Soedingrekso
A Søgaard
D Soldin
P Soldin
G Sommani
C Spannfellner
G.M Spiczak
C Spiering
Juliana Stachurska
M Stamatikos
T Stanev
T Stezelberger
T Stürwald
T Stuttard
G.W Sullivan
I Taboada
S Ter-Antonyan
A Terliuk
A Thakuri
M Thiesmeyer
W.G Thompson
J Thwaites
S Tilav
K Tollefson
C Tönnis
S Toscano
D Tosi
A Trettin
M.A Unland Elorrieta
A.K Upadhyay
K Upshaw
A Vaidyanathan
N Valtonen-Mattila
J Vandenbroucke
T Van Eeden
N van Eijndhoven
J van Santen
J Vara
F Varsi
J Veitch-Michaelis
M Venugopal
M Vereecken
S. Vergara Carrasco
S Verpoest
D Veske
A Vijai
J Villarreal
C Walck
A Wang
E Warrick
C Weaver
P Weigel
A Weindl
A.Y Wen
C Wendt
J Werthebach
M Weyrauch
N Whitehorn
C.H Wiebusch
D.R Williams
J Willison
L Witthaus
M Wolf
G Wrede
X.W Xu
J.P Yañez
E Yildizci
S Yoshida
R Young
F Yu
S Yu
T Yuan
A Zegarelli
S Zhang
Z Zhang
P Zhelnin
P Zilberman
M Zimmerman
Ice Cube Collaboration
Resource Type: Journal article
Publication Details: Journal of instrumentation : an IOP and SISSA journal, Vol.21(2), P02020
DOI: 10.1088/1748-0221/21/02/P02020
ISSN: 1748-0221
eISSN: 1748-0221
Publisher: IOP Publishing; Bristol
Grant note: institutions: U.S.A. - U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, U.S. National Science Foundation-Office of Advanced Cyberinfrastructure, U.S. Nati Wisconsin Alumni Research Foundation Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) NVIDIA Corporation FWO Odysseus and Big Science programmes Belgian Federal Science Policy Office Germany -Bundesministerium fur Bildung und Forschung (BMBF) Deutsche Forschungsgemeinschaft (DFG) Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association Sweden-Swedish Research Council Swedish Polar Research Secretariat Knut and Alice Wallenberg Foundation WestGrid Denmark -Villum Fonden Carlsberg Foundation European Commission New Zealand Marsden Fund
The IceCube collaboration acknowledges the significant contributions to this manuscript from Jessie Micallef and Shiqi Yu. The authors gratefully acknowledge the support from the following agencies and institutions: U.S.A. - U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, U.S. National Science Foundation-Office of Advanced Cyberinfrastructure, U.S. National Science Foundation AI Institute for Artificial Intelligence and Fundamental Interactions, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin-Madison, Open Science Grid (OSG), Partnership to Advance Throughput Computing (PATh), Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS), Frontera and Ranch 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, Astroparticle physics computational facility at Marquette University, NVIDIA Corporation, and Google Cloud Platform; Belgium -Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany -Bundesministerium fur 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-Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; European Union-EGI Advanced Computing for research; Australia -Australian Research Council; Canada -Natural Sciences and Engineering Research Council of Canada, Calcul Quebec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Digital Research Alliance of Canada; Denmark -Villum Fonden, Carlsberg Foundation, and European Commission; New Zealand Marsden Fund; Japan -Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea -National Research Foundation of Korea (NRF); Switzerland -Swiss National Science Foundation (SNSF).
Language: English
Date published: 02/2026
Academic Unit: Physics and Astronomy
Record Identifier: 9985146132702771

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