Publication Date
2016
Document Type
Dissertation/Thesis
First Advisor
Shin, Young-Min
Degree Name
M.S. (Master of Science)
Legacy Department
Department of Physics
LCSH
Laser beams; Particle beams; Particle accelerators--Illinois--Batavia; Python (Computer program language)
Abstract
Beam emittance is an important characteristic describing charged particle beams. In linear accelerators (linac), it is critical to characterize the beam phase space parameters and, in particular, to precisely measure transverse beam emittance. The quadrupole scan (quad-scan) is a well-established technique used to characterize transverse beam parameters in four-dimensional phase space, including beam emittance. A computational algorithm with PYTHON scripts has been developed to estimate beam parameters, in particular beam emittance, using the quad-scan technique in the electron linac at the Fermilab Accelerator Science and Technology (FAST) facility. This script has been implemented in conjunction with an automated quad-scan tool (also written in PYTHON) and has decreased the time it takes to perform a single quad-scan from an hour to a few minutes. From the experimental data, the emittance calculator quickly delivers several results including: geometrical and normalized transverse emittance, Courant-Snyder parameters, and plots of the beam size versus quadrupole field strength, among others. This paper will discuss the details of the techniques used, the results from several quad-scans performed at FAST during the electron injector commissioning, and the PYTHON code used to obtain the results.
Recommended Citation
Green, A. T., "Development of a PYTHON-based emittance calculator at Fermilab Accelerator Science & Technology (FAST) facility" (2016). Graduate Research Theses & Dissertations. 2175.
https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/2175
Extent
viii, 80 pages
Language
eng
Publisher
Northern Illinois University
Rights Statement
In Copyright
Rights Statement 2
NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.
Media Type
Text
Comments
Advisors: Young-Min Shin.||Committee members: Michael Eads; Philippe Piot; Young-Min Shin.||Includes bibliographical references.||Includes illustrations.