Status update of various simulation components for P-ONE.

The Pacific Ocean Neutrino Experiment (P-ONE) is a planned cubic-kilometer-scale Cherenkov neutrino telescope that will be deployed off the West Coast of Canada. To evaluate the perfor- mance of the telescope and support future analyses, it is essential to have accurate simulations of neutrino interactions and background sources. This contribution provides an overview of the current status of various components used in water-based neutrino telescope simulation. These include characterization and simulation of backgrounds, including 40K decays and biolumines- cence, studies on the simulation of muons, neutrinos, and cascade generation, as well as new photon propagation techniques. In particular, emphasis will be given to recent developments that are tailored specifically for P-ONE.

Authors

Publication Details

Published
2025-09-24
DOI
https://doi.org/10.22323/1.501.1088
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Status update of various simulation components for P-ONE.

B. Biffard, C. Haack, V. Gousy-Leblanc, I. Taboada et al.
Parallel Computing and Optimization Techniques
article

Status update of various simulation components for P-ONE.

B. Biffard, C. Haack, V. Gousy-Leblanc, I. Taboada, W. Noga, László Papp, B. Pirenne, Lanfranco Muzi, C. Bellenghi, C. Kopper, Felix Henningsen, E. Price, Matthew Charlton, M. Heesemann, Pa. Malecki, Cristina Lagunas Gualda, Jeffrey Hutchinson, Shiv K. Sharma, M. Boehmer, D. Salazar-Gallegos, Christian Spannfellner, L. Ginzkey, B. Veenstra, A. Alexander Wight, R. Ørsøe, M. Danninger, C. Weaver, Jean Pierre Twagirayezu, Simeon Bash, Tobias Kerscher, Andrew J. Baron, Andreas Gärtner, M. Agostini, L. Schumacher, Shraddha Karanth, K. Kopański, M. Brandenburg, A. Scholz, P. Krause, K. Leismüller, Jakub Stacho, C. Miller, Franz Fuchs, N. Whitehorn, Torge Martin, A. Rahlin, P. Pfahler, D. Ghuman, L. Winter, P. S. Barbeau, C. B. Krauss, Adrian Ponce, R. C. Nichol, N. Kurahashi, B. Crudele, A. Zaalishvili, N. Cedarblade-Jones, Ruohan Li, Juan Pablo Yáñez, T. DeYoung, M. U. Nisa, D. R. Grant, Victoria Alexis Parrish, S. Robertson, A. Grimes, Roger Moore, G. Marshall, R. Halliday, W. G. Kang, E. Resconi, P. Bunton, J. Garriz, S. Agreda, T. Glukler, D. Hembroff, S. Loipolder, S. Magel, N. Molberg, B. Nührenbörger, M. Rangen, R. Wroński
article en

Abstract

The Pacific Ocean Neutrino Experiment (P-ONE) is a planned cubic-kilometer-scale Cherenkov neutrino telescope that will be deployed off the West Coast of Canada. To evaluate the perfor- mance of the telescope and support future analyses, it is essential to have accurate simulations of neutrino interactions and background sources. This contribution provides an overview of the current status of various components used in water-based neutrino telescope simulation. These include characterization and simulation of backgrounds, including 40K decays and biolumines- cence, studies on the simulation of muons, neutrinos, and cascade generation, as well as new photon propagation techniques. In particular, emphasis will be given to recent developments that are tailored specifically for P-ONE.

National Science Foundation, UK Research and Innovation, Deutsche Forschungsgemeinschaft, Canada First Research Excellence Fund, Alliance de recherche numérique du Canada, Natural Sciences and Engineering Research Council of Canada, Science and Technology Facilities Council
Openalex Percentile: Top 72%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.