|
|||||
|
|
A time-resolved Monte Carlo smoke model for use at optical and infrared frequencies |
|
| Affiliation: | 1. Institute of Earth Sciences Jaume Almera, ICTJA-CSIC, Group of Volcanology, SIMGEO (UB-CSIC) Lluís Solé i Sabarís s/n, 08028 Barcelona, Spain;2. Spanish Geological Survey (IGME), Unit of Canary Islands, Alonso Alvarado, 43, 2°A, Las Palmas 35003, Spain;3. Department of Earth Sciences, Royal Holloway University of London, Egham TW20 0EX, UK;1. Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA;2. Department of Geological Sciences, University of Canterbury, Christchurch, New Zealand;1. Peripheral Neuropathy Research Laboratory, Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA;2. Amyloidosis Center, Department of Neurology, Boston University School of Medicine, 72 East Concord Street, K504, Boston, MA 02118, USA;3. Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, 635 Barnhill Drive, Indianapolis, IN 46202, USA;4. Alnylam Pharmaceuticals, 300 Third Street, Cambridge, MA 02142, USA |
| Abstract: | This paper describes a statistical smoke model which can be of help to validate applications and technologies which imply propagation of electromagnetic waves through smoke-filled atmospheres. The approach followed is a time-resolved Monte Carlo simulation for use in quantitative as well as qualitative analysis of different types of smokes. The model has been designed to operate at optical and infrared frequencies for short distance propagation, although it can be extended to other frequencies and longer propagation distances. The simulation environment has been treated from both an optical and a geometrical point of view, and a flexible and convenient simulation framework has been presented. The model can be fed with data from types of smoke with arbitrary distributions of particle sizes and optical behaviors. Also, different emitter, receiver and obstacle geometries can be defined. An extended set of simulation setups shows the preliminary potential of the model. |
| Keywords: | Event-based smoke model Time-resolved Monte Carlo simulation Optical frequencies Probabilistic model Radiation – particle interaction Propagation Parallel implementation Smoke filling |
| 本文献已被 ScienceDirect 等数据库收录！ | |