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You searched for +publisher:"Wayne State University" +contributor:("Giovanni Boviccini"). One record found.

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Wayne State University

1. Farhat, Hussein. Using Large-Angle Beamstrahlung To Detect And Diagnose Colliding Beams For Luminosity Optimization.

Degree: PhD, Physics and Astronomy, 2014, Wayne State University

The large-angle-beamstrahlung is a very effective technique that can be used to monitor two crossing beams. Monitoring the beam helps in analyzing and studying the beams profiles, allowing beams adjustments, and eventually leading to a perfect beams collision. The perfect beam collision results in a higher luminosity; as a result, a high particles production rate and new physics can be discovered. Advisors/Committee Members: Giovanni Boviccini.

Subjects/Keywords: Higher Education and Teaching; Physics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Farhat, H. (2014). Using Large-Angle Beamstrahlung To Detect And Diagnose Colliding Beams For Luminosity Optimization. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/1047

Chicago Manual of Style (16th Edition):

Farhat, Hussein. “Using Large-Angle Beamstrahlung To Detect And Diagnose Colliding Beams For Luminosity Optimization.” 2014. Doctoral Dissertation, Wayne State University. Accessed February 19, 2019. https://digitalcommons.wayne.edu/oa_dissertations/1047.

MLA Handbook (7th Edition):

Farhat, Hussein. “Using Large-Angle Beamstrahlung To Detect And Diagnose Colliding Beams For Luminosity Optimization.” 2014. Web. 19 Feb 2019.

Vancouver:

Farhat H. Using Large-Angle Beamstrahlung To Detect And Diagnose Colliding Beams For Luminosity Optimization. [Internet] [Doctoral dissertation]. Wayne State University; 2014. [cited 2019 Feb 19]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1047.

Council of Science Editors:

Farhat H. Using Large-Angle Beamstrahlung To Detect And Diagnose Colliding Beams For Luminosity Optimization. [Doctoral Dissertation]. Wayne State University; 2014. Available from: https://digitalcommons.wayne.edu/oa_dissertations/1047

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