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Munson, J.

Publications and source records attributed to Munson, J..

18 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2014

Spectroscopy of Gd 153 and Gd 157 using the ( p , d γ ) reaction

Low-spin single quasineutron levels in 153 Gd and 157 Gd have been studied following the 154 Gd(p,d-γ ) 153 Gd and 158 Gd(p,d-γ ) 157 Gd reactions. A combined Si telescope and high-purity germanium array was utilized, allowing d-γ and d-γ-γ coincidence measurements. Almost all of the established low-excitation-energy, low-spin structures were confirmed in both 153 Gd and 157 Gd. Several new levels and numerous new rays are observed in both nuclei, particularly for E x ≥1 MeV. Lastly, residual effects of a neutron subshell closure at N = 64 are observed in the form of a large excitation energy gap in the single quasineutron level schemes.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗
DOE OSTI2013

Remnants of spherical shell structures in deformed nuclei: The impact of an N=64 neutron subshell closure on the structure of N~90 gadolinium nuclei

Odd-mass gadolinium isotopes around N = 90 were populated by the (p,d ) reaction, utilizing 25-MeV protons, resulting in population of low-spin quasineutron states at energies near and below the Fermi surface. Systematics of the single quasineutron levels populated are presented. A large excitation energy gap is observed between levels originating from the 2d3/2 , 1h11/2 , and 3s1/2 spherical parents (above the N = 64 gap), and the 2d5/2 (below the gap), indicating that the spherical shell model level spacing is maintained at least to moderate deformations.

Ross, T. J.↗
DOE OSTI2012

Messiah College Biodiesel Fuel Generation Project (Final Technical Report)

Many obvious and significant concerns arise when considering the concept of small-scale biodiesel production. Does the fuel produced meet the stringent requirements set by the commercial biodiesel industry? Is the process safe? How are small-scale producers collecting and transporting waste vegetable oil? How is waste from the biodiesel production process handled by small-scale producers? These concerns and many others were the focus of the research preformed in the Messiah College Biodiesel Fuel Generation project over the last three years. This project was a unique research program in which undergraduate engineering students at Messiah College set out to research the feasibility of small-biodiesel production for application on a campus of approximately 3000 students. This Department of Energy (DOE) funded research program developed out of almost a decade of small-scale biodiesel research and development work performed by students at Messiah College. Over the course of the last three years the research team focused on four key areas related to small-scale biodiesel production: Quality Testing and Assurance, Process and Processor Research, Process and Processor Development, and Community Education. The objectives for the Messiah College Biodiesel Fuel Generation Project included the following: 1. Preparing a laboratory facility for the development and optimization of processors and processes, ASTM quality assurance, and performance testing of biodiesel fuels. 2. Developing scalable processor and process designs suitable for ASTM certifiable small-scale biodiesel production, with the goals of cost reduction and increased quality. 3. Conduct research into biodiesel process improvement and cost optimization using various biodiesel feedstocks and production ingredients.

09 BIOMASS FUELS↗
DOE OSTI2011

Surrogate measurement of the 238 Pu(n, ƒ) cross section

The neutron induced fission cross-section of 238 Pu was determined using the Surrogate Ratio Method (SRM). The (n, ƒ) cross section over an equivalent neutron energy range of 5 - 20 MeV was deduced from inelastic α-induced fission reactions on 239 Pu, with 235 U(α, α´ ƒ) and 236 U(α, α´ ƒ) used as references. These reference reactions reflect 234 U(n, ƒ) and 235 U(n, ƒ) yields, respectively. The deduced 238 Pu(n, ƒ) cross section agrees well with standard data libraries up to ~10 MeV, although larger values are seen at higher energy. The difference at higher energy is less than 20%.

22 GENERAL STUDIES OF NUCLEAR REACTORS↗
NASA NTRS1999

Practical Methods for Estimating Software Systems Fault Content and Location

Over the past several years, we have developed techniques to discriminate between fault-prone software modules and those that are not, to estimate a software system's residual fault content, to identify those portions of a software system having the highest estimated number of faults, and to estimate the effects of requirements changes on software quality.

fault-prone discriminant function↗
NASA NTRS1999

Panel: Practical Issues in Implementing Software Reliability Measurement

Many ways of estimating software systems' reliability, or reliability-related quantities, have been developed over the past several years. In this panel, we discuss practical issues to be addressed in implementing software reliabilty measurement techniques in a production development environment.

software reliability software measurement software↗
NASA NTRS1999

A Methodology for the Measurement of Test Effectiveness

In developing a software system, we would like to estimate the total number of faults inserted in to the system, its residual fault content at any given time, and the efficacy of the testing activity in executing the code containing the newly inserted faults.

software reliability software faults software faul↗
NASA NTRS1998

Software Evolution and the Fault Process

In developing a software system, we would like to estimate the way in which the fault content changes during its development, as well determine the locations having the highest concentration of faults.

software↗
NASA NTRS1998

Determining Fault Insertion Rates for Evolving Software Systems

In developing a software system, we would like to be able to estimate the way in which the fault content changes during its development, as well as determining the locations, having the highest concentration of faults.

faults incremental code enhancements↗
NASA NTRS1998

Estimating Rates of Fault Insertion and Test Effectiveness in Software Systems

In developing a software system, we would like to estimate the total number of faults inserted into a software system, the residual fault content of that system at any given time, and the efficacy of the testing activity in executing the code containing the newly inserted faults.

fault insertion software systems test effectivenes↗