Results 21 to 30 of about 80,385 (278)

Flow probe of symmetry energy in relativistic heavy-ion reactions [PDF]

open access: yes, 2013
Flow observables in heavy-ion reactions at incident energies up to about 1 GeV per nucleon have been shown to be very useful for investigating the reaction dynamics and for determining the parameters of reaction models based on transport theory.
Cozma, M. D.   +7 more
core   +2 more sources

Calculation of eigenvalues for neutron transport equation using Henyey-Greenstein phase function in slab geometry

open access: yesEPJ Web of Conferences, 2016
Eigenvalues are obtained for one-dimensional steady-state neutron transport equation in slab geometry using Henyey-Greenstein (HG) phase function. Firstly, HG phase function is inserted into neutron transport equation then eigenvalues are calculated for ...
Bülbül Ahmet
doaj   +1 more source

COMPARISON OF CHEBYSHEV AND ANDERSON ACCELERATIONS FOR THE NEUTRON TRANSPORT EQUATION [PDF]

open access: yesEPJ Web of Conferences, 2021
This work focuses on the k-eigenvalue problem of the neutron transport equation. The variables of interest are the largest eigenvalue (keff) and the corresponding eigenmode is called the fundamental mode.
Calloo Ansar   +2 more
doaj   +1 more source

PARTIAL NEUTRON TRANSPORT EQUATIONS

open access: yesPROBLEMS OF ATOMIC SCIENCE AND TECHNOLOGY. SERIES: NUCLEAR AND REACTOR CONSTANTS, 2019
To analyze the spatial kinetics of the reactor, a system of equations for the spatial kinetics of the reactor, consisting of two equations, is usually used. One of them describes the behavior of the neutron flux density, and the second describes the behavior of the precursors of delayed neutrons.
I Chernova, V Bereznev, E Seleznev
openaire   +1 more source

Verification of the Discrete Ordinates Goal-Oriented Multi-Collision Source Algorithm with Neutron Streaming Problems

open access: yesEnergies, 2022
The shielding calculation of neutron streaming problems with ducts is characterized by the strong anisotropy of angular flux, which poses a challenge for the analysis of nuclear installations.
Xinyu Wang   +3 more
doaj   +1 more source

Numerical analysis of the neutron multigroup $SP_N$ equations

open access: yesComptes Rendus. Mathématique, 2021
The multigroup neutron $SP_N$ equations, which are an approximation of the neutron transport equation, are used to model nuclear reactor cores. In their steady state, these equations can be written as a source problem or an eigenvalue problem.
Jamelot, Erell, Madiot, François
doaj   +1 more source

Electrical conductivity tensor of dense plasma in magnetic fields [PDF]

open access: yes, 2016
Electrical conductivity of finite-temperature plasma in neutron star crusts is studied for applications in magneto-hydrodynamical description of compact stars.
Harutyunyan, Arus, Sedrakian, Armen
core   +1 more source

Proton Differential Elliptic Flow and the Isospin-Dependence of the Nuclear Equation of State [PDF]

open access: yes, 2001
Within an isospin-dependent transport model for nuclear reactions involving neutron-rich nuclei, we study the first-order direct transverse flow of protons and their second-order differential elliptic flow as a function of transverse momentum.
A. Akmal   +53 more
core   +3 more sources

A new multigroup method for cross-sections that vary rapidly in energy

open access: yes, 2016
We present a numerical method for solving the time-independent thermal radiative transfer (TRT) equation or the neutron transport (NT) equation when the opacity or cross-section varies rapidly in energy (frequency).
Ahrens, C.   +4 more
core   +1 more source

Low mass binary neutron star mergers : gravitational waves and neutrino emission [PDF]

open access: yes, 2016
Neutron star mergers are among the most promising sources of gravitational waves for advanced ground-based detectors. These mergers are also expected to power bright electromagnetic signals, in the form of short gamma-ray bursts, infrared/optical ...
Duez, Matthew D.   +9 more
core   +3 more sources

Home - About - Disclaimer - Privacy