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; [missing] The IceCube 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, 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

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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.

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
[missing] The IceCube collaboration
Resource Type: Journal article
Publication Details: Journal of instrumentation : an IOP and SISSA journal, Vol.21, P02020
DOI: 10.1088/1748-0221/21/02/P02020
ISSN: 1748-0221
eISSN: 1748-0221
Publisher: IOP Publishing
Language: English
Date published: 02/2026
Academic Unit: Physics and Astronomy
Record Identifier: 9985146132702771

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