Radial particle distributions in PARMILA simulation beams
The estimation of beam spill in particle accelerators is becoming of greater importance as higher current designs are being funded. To the present, no numerical method for predicting beam-spill has been available. In this paper, we present an approach to the loss-estimation problem that uses probability distributions fitted to particle-simulation beams. The properties of the PARMILA code's radial particle distribution are discussed, and a broad class of probability distributions are examined to check their ability to fit it. The possibility that the PARMILA distribution is a mixture is discussed, and a fitting distribution consisting of a mixture of two generalized gamma distributions is found. An efficient algorithm to accomplish the fit is presented. Examples of the relative prediction of beam spill are given. 26 references, 18 figures, 1 table.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 7136872
- Report Number(s):
- LA-10063-MS; ON: DE84011007
- Resource Relation:
- Other Information: Portions are illegible in microfiche products. Original copy available until stock is exhausted
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
FMIT LINAC
SPATIAL DOSE DISTRIBUTIONS
COMPUTERIZED SIMULATION
ALGORITHMS
GAMMA RADIATION
RADIATION DOSES
ACCELERATORS
DOSES
ELECTROMAGNETIC RADIATION
IONIZING RADIATIONS
LINEAR ACCELERATORS
MATHEMATICAL LOGIC
RADIATION DOSE DISTRIBUTIONS
RADIATIONS
SIMULATION
430303* - Particle Accelerators- Experimental Facilities & Equipment