A Phenomenological Model for Particle Production from the Collisions of Nucleons and Pions with Fissile Elements at Medium Energies

Alsmiller, F.S.; Alsmiller, R.G.; Gabriel, T. A.; Lillie, R.A.; Barish, J.

doi:10.13182/nse81-a27403

Cited by 12 publications

(2 citation statements)

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“…It can optionally include pre-equilibrium reactions described by the MPM (multistage pre-equilibrium model) [44]. Evaporation reactions are treated with EVAP [45], while for fission, RAL [46] or HETFIS [47,48] can be chosen. A newer and improved model is CEM03.03 [49][50][51] which has its own treatment of pre-equilibrium, evaporation, and fission reactions.…”

Section: Mcnpmentioning

confidence: 99%

Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

2020

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The use and interest in Monte Carlo (MC) techniques in the field of medical physics have been rapidly increasing in the past years. This is the case especially in particle therapy, where accurate simulations of different physics processes in complex patient geometries are crucial for a successful patient treatment and for many related research and development activities. Thanks to the detailed implementation of physics processes in any type of material, to the capability of tracking particles in 3D, and to the possibility of including the most important radiobiological effects, MC simulations have become an essential calculation tool not only for dose calculations but also for many other purposes, like the design and commissioning of novel clinical facilities, shielding and radiation protection, the commissioning of treatment planning systems, and prediction and interpretation of data for range monitoring strategies. MC simulations are starting to be more frequently used in clinical practice, especially in the form of specialized codes oriented to dose calculations that can be performed in short time. The use of general purpose MC codes is instead more devoted to research. Despite the increased use of MC simulations for patient treatments, the existing literature suggests that there are still a number of challenges to be faced in order to increase the accuracy of MC calculations for patient treatments. The goal of this review is to discuss some of these remaining challenges. Undoubtedly, it is a work for which a multidisciplinary approach is required. Here, we try to identify some of the aspects where the community involved in applied nuclear physics, radiation biophysics, and computing development can contribute to find solutions. We have selected four specific challenges: i) the development of models in MC to describe nuclear physics interactions, ii) modeling of radiobiological processes in MC simulations, iii) developments of MC-based treatment planning tools, and iv) developments of fast MC codes. For each of them, we describe the underlying problems, present selected examples of proposed solutions, and try to give recommendations for future research.

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Section: Mcnpmentioning

confidence: 99%

Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

2020

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“…The first model of intermediate-and high-energy nuclear reactions, used initially in HETC and LAHET (Prael and Lichtenstein, 1989), was the Bertini INC (Bertini, 1963), followed (by default, but not required) by the Multistage Preequilibrium Model (MPM) Prael and Bozoian, 1988, followed by the Dostrovsky et al evaporation model (Dostrovsky et al, 1959) as implemented in the code EVAP by Dresner (1962). If the compound nuclei produced after the INC and MPM stages of reactions are heavy enough to fission, the fission process is simulated either with the semi-phenomenological Atchison fission model, often referred in the literature at the Rutherford Appleton Laboratory (RAL) fission model, which is where Atchison developed it (Atchison, 1980), or with the Fong statistical model of fission as implemented in the ORNL code HETFIS (Barish et al, 1981;Alsmiller et al, 1981), often referred in the literature as the ORNL fission model. Bertini INC,MPM,EVAP,RAL,and HETFIS migrated from LAHET to MCNPX and later,to MCNP6.…”

Section: Physics Modelsmentioning

confidence: 99%

Features of MCNP6

Goorley

James

Booth

et al. 2016

Annals of Nuclear Energy

131

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a b s t r a c t MCNP6 can be described as the merger of MCNP5 and MCNPX capabilities, but it is much more than the sum of these two computer codes. MCNP6 is the result of six years of effort by the MCNP5 and MCNPX code development teams. These groups of people, residing in Los Alamos National Laboratory's X Computational Physics Division, Monte Carlo Codes Group (XCP-3) and Nuclear Engineering and Nonproliferation Division, Radiation Transport Modeling Team (NEN-5) respectively, have combined their code development efforts to produce the next evolution of MCNP. While maintenance and major bug fixes will continue for MCNP5 1.60 and MCNPX 2.7.0 for upcoming years, new code development capabilities only will be developed and released in MCNP6. In fact, the initial release of MCNP6 contains numerous new features not previously found in either code. These new features are summarized in this document. Packaged with MCNP6 is also the new production release of the ENDF/B-VII.1 nuclear data files usable by MCNP. The high quality of the overall merged code, usefulness of these new features, along with the desire in the user community to start using the merged code, have led us to make the first MCNP6 production release: MCNP6 version 1. High confidence in the MCNP6 code is based on its performance with the verification and validation test suites, comparisons to its predecessor codes, our automated nightly software debugger tests, the underlying high quality nuclear and atomic databases, and significant testing by many beta testers.

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2009

Handbook of Spallation Research

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A Phenomenological Model for Particle Production from the Collisions of Nucleons and Pions with Fissile Elements at Medium Energies

Cited by 12 publications

References 0 publications

Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

Challenges in Monte Carlo Simulations as Clinical and Research Tool in Particle Therapy: A Review

Features of MCNP6

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