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A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors
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Abstract
IceCube is a cubic-kilometer Cherenkov telescope operating
at the South Pole. The main goal of IceCube is the detection of
astrophysical neutrinos and the identification of their sources.
High-energy muon neutrinos are observed via the secondary muons
produced in charge current interactions with nuclei in the
ice. Currently, the best performing muon track directional
reconstruction is based on a maximum likelihood method using the
arrival time distribution of Cherenkov photons registered by the
experiment's photomultipliers. A known systematic shortcoming of the
prevailing method is to assume a continuous energy loss along the
muon track. However at energies >1 TeV the light yield from
muons is dominated by stochastic showers. This paper discusses a
generalized ansatz where the expected arrival time distribution is
parametrized by a stochastic muon energy loss pattern. This more
realistic parametrization of the loss profile leads to an
improvement of the muon angular resolution of up to 20% for
through-going tracks and up to a factor 2 for starting tracks over
existing algorithms. Additionally, the procedure to estimate the
directional reconstruction uncertainty has been improved to be more
robust against numerical errors.
IOP Publishing
R. Abbasi
M. Ackermann
J. Adams
J.A. Aguilar
M. Ahlers
M. Ahrens
C. Alispach
A.A. Alves
N.M. Amin
R. An
K. Andeen
T. Anderson
I. Ansseau
G. Anton
C. Argüelles
S. Axani
X. Bai
A. Balagopal V.
A. Barbano
S.W. Barwick
B. Bastian
V. Basu
S. Baur
R. Bay
J.J. Beatty
K.-H. Becker
J. Becker Tjus
C. Bellenghi
S. BenZvi
D. Berley
E. Bernardini
D.Z. Besson
G. Binder
D. Bindig
E. Blaufuss
S. Blot
J. Borowka
S. Böser
O. Botner
J. Böttcher
E. Bourbeau
J. Bourbeau
F. Bradascio
J. Braun
S. Bron
J. Brostean-Kaiser
S. Browne
A. Burgman
R.S. Busse
M.A. Campana
C. Chen
D. Chirkin
K. Choi
B.A. Clark
K. Clark
L. Classen
A. Coleman
G.H. Collin
J.M. Conrad
P. Coppin
P. Correa
D.F. Cowen
R. Cross
P. Dave
C. De Clercq
J.J. DeLaunay
H. Dembinski
K. Deoskar
S. De Ridder
A. Desai
P. Desiati
K.D. de Vries
G. de Wasseige
M. de With
T. DeYoung
S. Dharani
A. Diaz
J.C. Díaz-Vélez
H. Dujmovic
M. Dunkman
M.A. DuVernois
E. Dvorak
T. Ehrhardt
P. Eller
R. Engel
H. Erpenbeck
J. Evans
P.A. Evenson
S. Fahey
A.R. Fazely
S. Fiedlschuster
A.T. Fienberg
K. Filimonov
C. Finley
L. Fischer
D. Fox
A. Franckowiak
E. Friedman
A. Fritz
P. Fürst
T. K. Gaisser
J. Gallagher
E. Ganster
S. Garrappa
L. Gerhardt
A. Ghadimi
C. Glaser
T. Glauch
T. Glüsenkamp
A. Goldschmidt
J.G. Gonzalez
S. Goswami
D. Grant
T. Grégoire
Z. Griffith
S. Griswold
M. Gündüz
C. Günther
C. Haack
A. Hallgren
R. Halliday
L. Halve
F. Halzen
M. Ha Minh
K. Hanson
J. Hardin
A.A. Harnisch
A. Haungs
S. Hauser
D. Hebecker
K. Helbing
F. Henningsen
E.C. Hettinger
S. Hickford
J. Hignight
C. Hill
G.C. Hill
K.D. Hoffman
R. Hoffmann
T. Hoinka
B. Hokanson-Fasig
K. Hoshina
F. Huang
M. Huber
T. Huber
K. Hultqvist
M. Hünnefeld
R. Hussain
S. In
N. Iovine
A. Ishihara
M. Jansson
G.S. Japaridze
M. Jeong
B.J.P. Jones
R. Joppe
D. Kang
W. Kang
X. Kang
A. Kappes
D. Kappesser
T. Karg
M. Karl
A. Karle
U. Katz
M. Kauer
M. Kellermann
J.L. Kelley
A. Kheirandish
K. Kin
T. Kintscher
J. Kiryluk
S.R. Klein
R. Koirala
H. Kolanoski
L. Köpke
C. Kopper
S. Kopper
D.J. Koskinen
P. Koundal
M. Kovacevich
M. Kowalski
K. Krings
N. Kurahashi
A. Kyriacou
C. Lagunas Gualda
J.L. Lanfranchi
M.J. Larson
F. Lauber
J.P. Lazar
J.W. Lee
K. Leonard
A. Leszczyńska
Y. Li
Q.R. Liu
E. Lohfink
C.J. Lozano Mariscal
L. Lu
F. Lucarelli
A. Ludwig
W. Luszczak
Y. Lyu
W.Y. Ma
J. Madsen
K.B.M. Mahn
Y. Makino
S. Mancina
I.C. Mariş
R. Maruyama
K. Mase
F. McNally
K. Meagher
A. Medina
M. Meier
S. Meighen-Berger
J. Merz
J. Micallef
D. Mockler
T. Montaruli
R.W. Moore
R. Morse
M. Moulai
R. Naab
R. Nagai
U. Naumann
J. Necker
L.V. Nguyễn
H. Niederhausen
M.U. Nisa
S.C. Nowicki
D.R. Nygren
A. Obertacke Pollmann
M. Oehler
A. Olivas
E. O'Sullivan
H. Pandya
D.V. Pankova
N. Park
G.K. Parker
E.N. Paudel
L. Paul
C. Pérez de los Heros
S. Philippen
D. Pieloth
S. Pieper
A. Pizzuto
M. Plum
Y. Popovych
A. Porcelli
M. Prado Rodriguez
P.B. Price
B. Pries
G.T. Przybylski
C. Raab
A. Raissi
M. Rameez
K. Rawlins
I.C. Rea
A. Rehman
R. Reimann
G. Renzi
E. Resconi
S. Reusch
W. Rhode
M. Richman
B. Riedel
S. Robertson
G. Roellinghoff
M. Rongen
C. Rott
T. Ruhe
D. Ryckbosch
D. Rysewyk Cantu
I. Safa
J. Saffer
S.E. Sanchez Herrera
A. Sandrock
J. Sandroos
M. Santander
S. Sarkar
S. Sarkar
K. Satalecka
M. Scharf
M. Schaufel
H. Schieler
P. Schlunder
T. Schmidt
A. Schneider
J. Schneider
F.G. Schröder
L. Schumacher
S. Sclafani
D. Seckel
S. Seunarine
A. Sharma
S. Shefali
M. Silva
B. Skrzypek
B. Smithers
R. Snihur
J. Soedingrekso
D. Soldin
G.M. Spiczak
C. Spiering
J. Stachurska
M. Stamatikos
T. Stanev
R. Stein
J. Stettner
A. Steuer
T. Stezelberger
T. Stürwald
T. Stuttard
G.W. Sullivan
I. Taboada
F. Tenholt
S. Ter-Antonyan
S. Tilav
F. Tischbein
K. Tollefson
L. Tomankova
C. Tönnis
S. Toscano
D. Tosi
A. Trettin
M. Tselengidou
C.F. Tung
A. Turcati
R. Turcotte
C.F. Turley
J.P. Twagirayezu
B. Ty
M.A. Unland Elorrieta
N. Valtonen-Mattila
J. Vandenbroucke
D. van Eijk
N. van Eijndhoven
D. Vannerom
J. van Santen
S. Verpoest
M. Vraeghe
C. Walck
A. Wallace
T.B. Watson
C. Weaver
P. Weigel
A. Weindl
M.J. Weiss
J. Weldert
C. Wendt
J. Werthebach
M. Weyrauch
B.J. Whelan
N. Whitehorn
C.H. Wiebusch
D.R. Williams
M. Wolf
K. Woschnagg
G. Wrede
J. Wulff
X.W. Xu
Y. Xu
J.P. Yanez
S. Yoshida
T. Yuan
Z. Zhang
Title: A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors
Description:
Abstract
IceCube is a cubic-kilometer Cherenkov telescope operating
at the South Pole.
The main goal of IceCube is the detection of
astrophysical neutrinos and the identification of their sources.
High-energy muon neutrinos are observed via the secondary muons
produced in charge current interactions with nuclei in the
ice.
Currently, the best performing muon track directional
reconstruction is based on a maximum likelihood method using the
arrival time distribution of Cherenkov photons registered by the
experiment's photomultipliers.
A known systematic shortcoming of the
prevailing method is to assume a continuous energy loss along the
muon track.
However at energies >1 TeV the light yield from
muons is dominated by stochastic showers.
This paper discusses a
generalized ansatz where the expected arrival time distribution is
parametrized by a stochastic muon energy loss pattern.
This more
realistic parametrization of the loss profile leads to an
improvement of the muon angular resolution of up to 20% for
through-going tracks and up to a factor 2 for starting tracks over
existing algorithms.
Additionally, the procedure to estimate the
directional reconstruction uncertainty has been improved to be more
robust against numerical errors.
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