Standard
Graph Neural Networks for low-energy event classification & reconstruction in IceCube. / Abbasi, R.; Ackermann, M.; Adams, J.; Aggarwal, Neelum T.; Aguilar, J.A.; Ahlers, Markus Tobias; Ahrens, M.; Alameddine, J.M; Alves, AA; Amin, N.M.; Andeen, K.; Anderson, T.; Bourbeau, Etienne; Koskinen, D. Jason; Kozynets, Tetiana; Mead, James; Stuttard, Thomas Simon; Rameez, M; Icecube Collaboration.
In:
Journal of Instrumentation, Vol. 17, P11003, 04.11.2022.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Abbasi, R, Ackermann, M, Adams, J, Aggarwal, NT, Aguilar, JA
, Ahlers, MT, Ahrens, M, Alameddine, JM, Alves, AA, Amin, NM, Andeen, K, Anderson, T, Bourbeau, E
, Koskinen, DJ, Kozynets, T, Mead, J
, Stuttard, TS, Rameez, M & Icecube Collaboration 2022, '
Graph Neural Networks for low-energy event classification & reconstruction in IceCube',
Journal of Instrumentation, vol. 17, P11003.
https://doi.org/10.1088/1748-0221/17/11/P11003APA
Abbasi, R., Ackermann, M., Adams, J., Aggarwal, N. T., Aguilar, J. A.
, Ahlers, M. T., Ahrens, M., Alameddine, J. M., Alves, AA., Amin, N. M., Andeen, K., Anderson, T., Bourbeau, E.
, Koskinen, D. J., Kozynets, T., Mead, J.
, Stuttard, T. S., Rameez, M., & Icecube Collaboration (2022).
Graph Neural Networks for low-energy event classification & reconstruction in IceCube.
Journal of Instrumentation,
17, [P11003].
https://doi.org/10.1088/1748-0221/17/11/P11003Vancouver
Abbasi R, Ackermann M, Adams J, Aggarwal NT, Aguilar JA
, Ahlers MT et al.
Graph Neural Networks for low-energy event classification & reconstruction in IceCube.
Journal of Instrumentation. 2022 Nov 4;17. P11003.
https://doi.org/10.1088/1748-0221/17/11/P11003Author
Abbasi, R. ; Ackermann, M. ; Adams, J. ; Aggarwal, Neelum T. ; Aguilar, J.A. ; Ahlers, Markus Tobias ; Ahrens, M. ; Alameddine, J.M ; Alves, AA ; Amin, N.M. ; Andeen, K. ; Anderson, T. ; Bourbeau, Etienne ; Koskinen, D. Jason ; Kozynets, Tetiana ; Mead, James ; Stuttard, Thomas Simon ; Rameez, M ; Icecube Collaboration. / Graph Neural Networks for low-energy event classification & reconstruction in IceCube. In: Journal of Instrumentation. 2022 ; Vol. 17.
Bibtex
@article{c72d1398d5744ecfaa3b477bf2ae23bd,
title = "Graph Neural Networks for low-energy event classification & reconstruction in IceCube",
author = "R. Abbasi and M. Ackermann and J. Adams and Aggarwal, {Neelum T.} and J.A. Aguilar and Ahlers, {Markus Tobias} and M. Ahrens and J.M Alameddine and AA Alves and N.M. Amin and K. Andeen and T. Anderson and Etienne Bourbeau and Koskinen, {D. Jason} and Tetiana Kozynets and James Mead and Stuttard, {Thomas Simon} and M Rameez and {Icecube Collaboration}",
year = "2022",
month = nov,
day = "4",
doi = "10.1088/1748-0221/17/11/P11003",
language = "English",
volume = "17",
journal = "Journal of Instrumentation",
issn = "1748-0221",
publisher = "Institute of Physics Publishing Ltd",
}
RIS
TY - JOUR
T1 - Graph Neural Networks for low-energy event classification & reconstruction in IceCube
AU - Abbasi, R.
AU - Ackermann, M.
AU - Adams, J.
AU - Aggarwal, Neelum T.
AU - Aguilar, J.A.
AU - Ahlers, Markus Tobias
AU - Ahrens, M.
AU - Alameddine, J.M
AU - Alves, AA
AU - Amin, N.M.
AU - Andeen, K.
AU - Anderson, T.
AU - Bourbeau, Etienne
AU - Koskinen, D. Jason
AU - Kozynets, Tetiana
AU - Mead, James
AU - Stuttard, Thomas Simon
AU - Rameez, M
AU - Icecube Collaboration
PY - 2022/11/4
Y1 - 2022/11/4
U2 - 10.1088/1748-0221/17/11/P11003
DO - 10.1088/1748-0221/17/11/P11003
M3 - Journal article
VL - 17
JO - Journal of Instrumentation
JF - Journal of Instrumentation
SN - 1748-0221
M1 - P11003
ER -
