Published November 1, 2007
| Version v1
Journal article
A thermodynamic analysis of energy eigenvalues
- 1. Department of Physics, Tennessee Technological University, Cookeville, TN 38505-0001 (United States)
- 2. Instituto de Fisica, Universidade Sao Paulo, C.P. 66318, 05315-970 Sao Paulo (Brazil)
- 3. Triangle Universities Nuclear Laboratory, Durham, NC 27708-0308 (United States)
- 4. Department of Physics, North Carolina State University, Raleigh, NC 27695-8202 (United States)
Description
The use of the thermodynamic 'internal energy'U as a tool for characterizing eigenvalue spectra is examined via Monte Carlo studies. We show that for pure and complete spectra, internal energy provides significant separation between individual Gaussian orthogonal ensemble (GOE) and Poisson spectra for spectra with as few as 30-40 levels. We also demonstrate that internal energy is sensitive to the presence of missing or spurious levels in GOE spectra. Comparison of the behavior of U and Δ3 for imperfect spectra shows that the relative variance of U is smaller; therefore, U is less sensitive to experimental limitations affecting the quality of data than is Δ3
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nima.2007.08.171Additional details
Identifiers
- DOI
- 10.1016/j.nima.2007.08.171;
- PII
- S0168-9002(07)01873-6;
Publishing Information
- Journal Title
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Journal Volume
- 581
- Journal Issue
- 3
- Journal Page Range
- p. 831-838
- ISSN
- 0168-9002
- CODEN
- NIMAER
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 39064138
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- COMPARATIVE EVALUATIONS; EIGENVALUES; MONTE CARLO METHOD; SPECTRA; STATISTICS
- Descriptors DEC
- CALCULATION METHODS; EVALUATION; MATHEMATICS
Optional Information
- Copyright
- Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.