Paper |
Title |
Page |
MOP37 |
Beam Polarization Measurements with the Revised Compton Polarimeter at ELSA |
137 |
|
- M.T. Switka, K. Desch, D. Elsner
ELSA, Bonn, Germany
- W. Hillert
University of Hamburg, Institut für Experimentalphysik, Hamburg, Germany
|
|
|
The Compton Polarimeter at the ELSA 3.2 GeV storage ring has been designed to measure the polarization degree of the stored electron beam by analyzing the profile of the back-scattered gamma-beam with a silicon microstrip detector. Utilizing a scattering asymmetry from interaction with circularly polarized laser light, the electron beam polarization is determined from the vertical shift of the gamma-beam’s center of gravity in respect to the handedness of the laser light. The installation of a new laser source and silicon strip detector has improved the polarimeter’s performance significantly. Additionally, the profile analysis could be enhanced by using a Pearson type peak function fit. The analyzing power was determined through the observation of the Sokolov-Ternov effect and a statistical measurement accuracy of 2 % could be obtained within 5 minutes of measurement time. The polarimeter resolves the expected spin dynamical effects occurring in the storage ring and has shown to be a robust and reliable measurement system for operation with the GaAs source for polarized electrons.
|
|
DOI • |
reference for this paper
※ doi:10.18429/JACoW-IBIC2022-MOP37
|
|
About • |
Received ※ 07 September 2022 — Revised ※ 09 September 2022 — Accepted ※ 13 September 2022 — Issue date ※ 19 September 2022 |
Cite • |
reference for this paper using
※ BibTeX,
※ LaTeX,
※ Text/Word,
※ RIS,
※ EndNote (xml)
|
|
|
MOP38 |
Beam Profile Monitoring and Distributed Analysis Using the RabbitMQ Message Broker |
140 |
|
- D. Proft, K. Desch, D. Elsner, F. Frommberger, S. Kronenberg, A. Spreitzer, M.T. Switka
ELSA, Bonn, Germany
|
|
|
The ELSA facility utilizes several digital cameras for beam profile measurements on luminous screens and synchrotron radiation monitors. Currently a multitude of devices with analog signal output are being replaced in favor of digital outputs, preferably with data transfer via Ethernet. The increased network traffic for streaming, analyzing, and distribution of processed data to control system and machine operators is managed through a supplementary camera network in which distributed computing is performed by the RabbitMQ message broker. This allows performant and platform-independent image acquisition from multiple cameras, real time profile analysis, and supports programming interfaces for C++ and Python. The setup and performance of the implementation are presented.
|
|
DOI • |
reference for this paper
※ doi:10.18429/JACoW-IBIC2022-MOP38
|
|
About • |
Received ※ 07 September 2022 — Revised ※ 09 September 2022 — Accepted ※ 12 September 2022 — Issue date ※ 28 October 2022 |
Cite • |
reference for this paper using
※ BibTeX,
※ LaTeX,
※ Text/Word,
※ RIS,
※ EndNote (xml)
|
|
|