T
T. P. Wangler
Researcher at Los Alamos National Laboratory
Publications - 7
Citations - 161
T. P. Wangler is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Linear particle accelerator & Particle accelerator. The author has an hindex of 5, co-authored 7 publications receiving 157 citations.
Papers
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Journal ArticleDOI
Relation between Field Energy and RMS Emittance in Intense Particle Beams
TL;DR: In this paper, an equation for continuous beams with azimuthal symmetry and continuous linear focusing is presented for the case of an rms matched beam to yield a formula for space-charge-induced emittance growth that is tested numerically for a variety of initial distributions.
Journal ArticleDOI
The Radio-Frequency Quadrupole - A New Linear Accelerator
TL;DR: The radio-frequency quadrupole (RFQ) linear accelerator as mentioned in this paper was developed at Los Alamos, USA to accelerate high-current dc beams with only small beam loss and low radial emittance growth.
Journal ArticleDOI
The Radio-Frequency Quadrupole Linear Accelerator
T. P. Wangler,R. H. Stokes +1 more
TL;DR: The radio-frequency quadrupole (RFQ) as mentioned in this paper is a new linear accelerator concept in which rf electric fields are used to focus, bunch, and accelerate the beam, and it can capture a high-current dc ion beam from a lowvoltage source and accelerate it to an energy of 1 MeV/nucleon within a distance of a few meters.
Journal ArticleDOI
Radio-Frequency Quadrupole Vane-Tip Geometries
TL;DR: In this paper, the authors present a method for calculating the electric field components in an RFQ cell with arbitrary vane tip geometry and compare the characteristics of the various geometries.
Proceedings ArticleDOI
Field energy and RMS emittance in intense particle beams
TL;DR: In this paper, an equation for continuous beam with azimuthal symmetry and continuous linear focusing is presented for the case of an rms matched beam to yield a formula for space charge-induced emittance growth that has been tested numerically for a variety of initial distributions.