MCNP Version 6.2 Release Notes

Werner, C. J.; Bull, Jeffrey S.; Solomon, Clell J.; Brown, Forrest B.; McKinney, G.W.; Rising, Michael Evan; Dixon, David A.; Martz, Roger L.; Hughes, H.G.; Cox, L. J.; Zukaitis, Anthony J.; Armstrong, James C.; Forster, Robert; Casswell, Laura

doi:10.2172/1419730

Cited by 176 publications

(109 citation statements)

References 0 publications

Supporting

Mentioning

107

Contrasting

Unclassified

Order By: Relevance

“…This is achieved most efficiently by neutron transport simulations using Monte Carlo packages. The tools used in this study are MCNP 6.2 (Werner et al, 2018) and URANOS (Köhli et al, 2015). MCNP 6: MCNP (Monte Carlo N-Particle) is a general purpose software to simulate the propagation and interaction of a multitude of particles.…”

Section: Monte Carlo Packages For Neutron Transport Simulationmentioning

confidence: 99%

Large-Scale Boron-Lined Neutron Detection Systems as a 3He Alternative for Cosmic Ray Neutron Sensing

et al. 2020

View full text Add to dashboard Cite

Cosmic-Ray neutron sensors are widely used to determine soil moisture on the hectare scale. Precise measurements, especially in the case of mobile application, demand for neutron detectors with high counting rates and high signal-to-noise ratios. For a long time Cosmic Ray Neutron Sensing (CRNS) instruments have relied on 3 He as an efficient neutron converter. Its ongoing scarcity demands for technological solutions using alternative converters, which are 6 Li and 10 B. Recent developments lead to a modular neutron detector consisting of several 10 B-lined proportional counter tubes, which feature high counting rates via its large surface area. The modularity allows for individual shieldings of different segments within the detector featuring the capability of gaining spectral information about the detected neutrons. This opens the possibility for active signal correction, especially useful when applied to mobile measurements, where the influence of constantly changing near-field to the overall signal should be corrected. Furthermore, the signal-to-noise ratio could be increased by combining pulse height and pulse length spectra to discriminate between neutrons and other environmental radiation. This novel detector therefore combines high-selective counting electronics with large-scale instrumentation technology.

show abstract

Section: Monte Carlo Packages For Neutron Transport Simulationmentioning

confidence: 99%

Large-Scale Boron-Lined Neutron Detection Systems as a 3He Alternative for Cosmic Ray Neutron Sensing

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In MPRAD, we solve the relativistic equation of proton motion, i.e. the evolution of position and velocity of the protons in the beam, in electromagnetic field, similar to the features in the existing tools [41,44,45,47]. In addition we implement the stopping power and Coulomb Scattering, both in cold matter approximation and weakly interacting plasmas.…”

Section: Features Of the Codementioning

confidence: 99%

“…The cross-section of single and multiple Coulomb scattering in thick foil was studied in [60,61], which has been used in GEANT4 [45] and MCNP [44]. The cross-section for large angle scattering remains unchanged from cold matter to plasma…”

Section: B Coulomb Scatteringmentioning

confidence: 99%

“…There are some general-purpose Monte Carlo toolkits, e.g. MCNP [44] and GEANT4 [45], and tools specifically for HED applications [46,47], for forward modeling of proton radiography. MCNP and GEANT4 have the features to model the energy lost and collisional scattering of protons in cold matter, but corrections are needed for calculations of plasma stopping power and scattering angle [48].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MPRAD: A Monte Carlo and ray-tracing code for the proton radiography in high-energy-density plasma experiments

Flippo

et al. 2019

Review of Scientific Instruments

View full text Add to dashboard Cite

Proton radiography is used in various high-energy-density (HED) plasma experiments. In this paper, we describe a Monte Carlo and ray-tracing simulation tool called MPRAD that can be used for modeling the deflection of proton beams in arbitrary three dimensional electromagnetic fields, as well as the diffusion of the proton beams by Coulomb scattering and stopping power. The Coulomb scattering and stopping power models in cold matter and fully ionized plasma are combined using interpolation. We discuss the application of MPRAD in a few setups relevant to HED plasma experiments where the plasma density can play a role in diffusing the proton beams and affecting the prediction and interpretation of the proton images. It is shown how the diffusion due to plasma density can affect the resolution and dynamical range of the proton radiography.

show abstract

“…Within the past few years, however, significant advances have been made in particle tracking algorithms so as to now enable the direct use of meshed geometries during MC radiation transport simulation. These developments were initially introduced into the MCNP code in 2009 [1], into the GEANT4 code in 2013 [2], and into the PHITS code in 2015 [3,4]. Thus, there are a tremendous number of existing voxel-based computational phantoms that would now benefit from a conversion to mesh-type format.…”

Section: Introductionmentioning

confidence: 99%