# Overview and applications of the Monte Carlo radiation transport kit at LLNL

## Abstract

Modern Monte Carlo radiation transport codes can be applied to model most applications of radiation, from optical to TeV photons, from thermal neutrons to heavy ions. Simulations can include any desired level of detail in three-dimensional geometries using the right level of detail in the reaction physics. The technology areas to which we have applied these codes include medical applications, defense, safety and security programs, nuclear safeguards and industrial and research system design and control. The main reason such applications are interesting is that by using these tools substantial savings of time and effort (i.e. money) can be realized. In addition it is possible to separate out and investigate computationally effects which can not be isolated and studied in experiments. In model calculations, just as in real life, one must take care in order to get the correct answer to the right question. Advancing computing technology allows extensions of Monte Carlo applications in two directions. First, as computers become more powerful more problems can be accurately modeled. Second, as computing power becomes cheaper Monte Carlo methods become accessible more widely. An overview of the set of Monte Carlo radiation transport tools in use a LLNL will be presented along withmore »

- Authors:

- Publication Date:

- Research Org.:
- Lawrence Livermore National Lab., CA (US)

- Sponsoring Org.:
- USDOE Office of Defense Programs (DP) (US)

- OSTI Identifier:
- 10151

- Report Number(s):
- UCRL-JC-132644; DP0102052

DP0102052; TRN: US0103367

- DOE Contract Number:
- W-7405-ENG-48

- Resource Type:
- Conference

- Resource Relation:
- Conference: SPIE's 44th Annual Meeting of the International Symposium on Optical Science, Engineering, and Instrumentation, Denver, CO (US), 07/18/1999--07/23/1999; Other Information: PBD: 23 Jun 1999

- Country of Publication:
- United States

- Language:
- English

- Subject:
- 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; HEAVY IONS; MONTE CARLO METHOD; PHOTONS; RADIATION TRANSPORT; THERMAL NEUTRONS; COMPUTER CODES; USES

### Citation Formats

```
Sale, K E.
```*Overview and applications of the Monte Carlo radiation transport kit at LLNL*. United States: N. p., 1999.
Web.

```
Sale, K E.
```*Overview and applications of the Monte Carlo radiation transport kit at LLNL*. United States.

```
Sale, K E. Wed .
"Overview and applications of the Monte Carlo radiation transport kit at LLNL". United States. https://www.osti.gov/servlets/purl/10151.
```

```
@article{osti_10151,
```

title = {Overview and applications of the Monte Carlo radiation transport kit at LLNL},

author = {Sale, K E},

abstractNote = {Modern Monte Carlo radiation transport codes can be applied to model most applications of radiation, from optical to TeV photons, from thermal neutrons to heavy ions. Simulations can include any desired level of detail in three-dimensional geometries using the right level of detail in the reaction physics. The technology areas to which we have applied these codes include medical applications, defense, safety and security programs, nuclear safeguards and industrial and research system design and control. The main reason such applications are interesting is that by using these tools substantial savings of time and effort (i.e. money) can be realized. In addition it is possible to separate out and investigate computationally effects which can not be isolated and studied in experiments. In model calculations, just as in real life, one must take care in order to get the correct answer to the right question. Advancing computing technology allows extensions of Monte Carlo applications in two directions. First, as computers become more powerful more problems can be accurately modeled. Second, as computing power becomes cheaper Monte Carlo methods become accessible more widely. An overview of the set of Monte Carlo radiation transport tools in use a LLNL will be presented along with a few examples of applications and future directions.},

doi = {},

journal = {},

number = ,

volume = ,

place = {United States},

year = {1999},

month = {6}

}