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From CAD and leverage MCNP’s new unstructured mesh functionality. Attila4MC’s state-of-the-art deterministic solver automatically generates optimized weight windows with a minimal amount of user interaction, bypassing inefficient time-intensive manual variance reduction. Through Attila4MC’s GUI, most MCNP calculations can be set up. 4 Running the Program The first thing that I will mention is that the User’s Manuals are extremely helpful. These manuals have loads of information in them and can help you through the entire process that this tutorial takes you through. MCNP5-Install-Guide-pdf A PDF file with detailed instructions for installing & running MCNP5. This is a Appendix C of the MCNP manual. MCNP5-RSICC-1.14.tgz A gzip'd tar file containing. directory MCNP5/Source. directory MCNP5/Testing source files for building MCNP5 on all systems regression test set for verifying correct compilation. Uses as well as enable users to utilize the MCNP manual effectively for situations not specifically addressed by the primer. 4-2 MCNP SAF results (g-1) for Section 4 compared with MIRD values. Published to instruct the medical physics user on the use of MCNP.
Developer(s) | LANL |
---|---|
Stable release | |
Written in | Fortran 90 |
Operating system | Cross-platform |
Type | Computational physics |
License | MCNPX Single-User Software License (proprietary) |
Website | mcnp.lanl.gov |
Honda civic hatchback 2013 user manual. Monte Carlo N-Particle Transport Code (MCNP) is a software package for simulating nuclear processes. It is developed by Los Alamos National Laboratory since at least 1957[2] with several further major improvements. It is distributed within the United States by the Radiation Safety Information Computational Center in Oak Ridge, TN and internationally by the Nuclear Energy Agency in Paris, France. It is used primarily for the simulation of nuclear processes, such as fission, but has the capability to simulate particle interactions involving neutrons, photons, and electrons among other particles. 'Specific areas of application include, but are not limited to, radiation protection and dosimetry, radiation shielding, radiography, medical physics, nuclear criticality safety, detector design and analysis, nuclear oil well logging, accelerator target design, fission and fusion reactor design, decontamination and decommissioning.'
Monte Carlo N-Particle eXtended[edit]
Monte Carlo N-Particle eXtended (MCNPX) was also developed at Los Alamos National Laboratory, and is capable of simulating particle interactions of 34 different types of particles (nucleons and ions) and 2000+ heavy ions at nearly all energies,[3] including those simulated by MCNP.
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Both codes can be used to judge whether or not nuclear systems are critical and to determine doses from sources, among other things.
MCNP6 is a merger of MCNP5 and MCNPX.[3]
See also[edit]
Notes[edit]
- ^'MCNP6.2 Release notes'(PDF). LANL. 2018-02-05. Retrieved 2018-02-15.
- ^Cashwell, E.D.; Everett, C.J. (1959). A Practical Manual on the Monte Carlo Method for Random Walk Problems(PDF). London: Pergamon Press.
- ^ abJames, M.R. 'MCNPX 2.7.x - New Features Being Developed'(PDF).
Mcnp Code
External links[edit]
Mcnp User Guide
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