dorsal/arxiv
View SchemaComputational Techniques for Simulating Light Propagation in High-Energy Neutrino Telescopes
| Authors | Predrag Miocinovic, Peter Niessen |
|---|---|
| Categories | |
| ArXiv ID | physics/0305097 |
| URL | https://arxiv.org/abs/physics/0305097 |
Abstract
To maximize the accuracy of background simulation and event reconstruction, high-energy neutrino telescopes require detailed knowledge of light propagation over a large volume of detection medium. If light scattering and absorption leng ths in the medium are of the same scale as the detector size, this problem can only be handled numerically. Any inhomogeneity of optical properties in the medium further complicates the problem, requiring large computational resources. We present a treatment based on combining ray-tracing Monte Carlo and neural network techniques which offers a reasonable compromise between solution accuracy, computer memory and CPU usage.
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"abstract": "To maximize the accuracy of background simulation and event reconstruction,\nhigh-energy neutrino telescopes require detailed knowledge of light propagation\nover a large volume of detection medium. If light scattering and absorption\nleng ths in the medium are of the same scale as the detector size, this problem\ncan only be handled numerically. Any inhomogeneity of optical properties in the\nmedium further complicates the problem, requiring large computational\nresources. We present a treatment based on combining ray-tracing Monte Carlo\nand neural network techniques which offers a reasonable compromise between\nsolution accuracy, computer memory and CPU usage.",
"arxiv_id": "physics/0305097",
"authors": [
"Predrag Miocinovic",
"Peter Niessen"
],
"categories": [
"physics.comp-ph"
],
"title": "Computational Techniques for Simulating Light Propagation in High-Energy Neutrino Telescopes",
"url": "https://arxiv.org/abs/physics/0305097"
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