Morse code: a multigroup neutron and gamma-RAY monte carlo transport code
Abstract
The MORSE code is a multipurpose neutron and gamma-ray xransport Monte Carlo code.Through the use of multigroup cross sections, the solution of neutron, gamma-ray, or coupled neutron-gamma-ray problems may be obtained in either the forward or adjoint mode.Time dependence for both shielding and criticality problems ir pxovided.General three-dimensional geometry, as well as specialized one-dimensional geometry descriptions, may be used with an albedo option av.ulable at any material surface.Standard multigroup cross sections such as those used in discrete ordinates codes may be used as input; either ANISN or DTP-IV cross-section formats are acceptable.Anisotropic scattering is treated for each groupto-group transfer by utilizing a generalized Gaussian quadrature technique.The modular form of the code with built-in analysis capability for all types of estimators makes it possible to solve a complete neutron-gammaray problem as one job and without the use of tapes.A detailed discussion of the relationship between forward and adjoint flux and collision densities, as well as a detailed description of the treatment of the angle of scattering, is given in the appendices.Logical flow charts for each subroutine add to the understanding of the code.
Read the paper
Related studies
- Regulation of nucleolus assembly by non-coding RNA polymerase II transcripts
- For a Healthy Histone Code, a Little SUMO in the Tail Keeps the Acetyl Away
- Discovering a binary CTCF code with a little help from BORIS
- Article Commentary: Stabilizing the Code–-Methods to Preserve RNA Prove Their Worth
- Foreword to the Special Issue for the RINTC (The Implicit Seismic Risk of Code-Conforming Structures) Project
- Commentary: Promoting Health and Well-being in Pediatric Primary Care Settings: Using Health and Behavior Codes at Routine Well-child Visits
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.