MOPB061

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URL	https://doi.org/10.18429/JACoW-LINAC2024-MOPB061
Title	Data acquisition and characterization software for radio-frequency (rf) systems
Authors	S. Suthar, B. Popovic Argonne National Laboratory
Abstract	In accelerator physics, radio-frequency (rf) systems play a pivotal role in particle beam acceleration and diagnostics. This work presents a graphical interface designed with Python for interaction with rf instruments, enabling efficient data acquisition, processing, and visualization. Leveraging advanced software tools, the system enables efficient management and analysis of rf data. This capability is crucial for optimizing experimentation and streamlining data flow. The modular architecture is implemented on various systems and is demonstrated with the current 200kW Solid State Amplifier (SSA) test setup at the Advanced Photon Source.
Paper	download: MOPB061.pdf
Cite	BibTeX, LaTeX, Text/Word, RIS, EndNote
Conference	32nd Linear Accelerator Conference (LINAC2024)
Series
Location	Chicago, IL, USA
Date	25-30 Aug 2024
Publisher	JACoW Publishing, Geneva, Switzerland
Editorial Board	Kelly Jaje (ANL), Kip Bishofberger (LANL), Ryan Brody (ANL), Gustavo Bruno (ANL), Jan Chrin (PSI), Cathy Eyberger (ANL), Maggie Montes (SLAC), Denise Skiadopoulos (ANL), Ling Wang (MSU/FRIB), Kent Wootton (ANL)
Online ISBN	978-3-95450-219-6
Online ISSN	2226-0366
Received	20 August 2024
Revised	29 August 2024
Accepted	05 September 2024
Issued	23 October 2024
DOI	10.18429/JACoW-LINAC2024-MOPB061
Pages	181-183
Copyright	Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.