ICALEPCS2019 - List of Authors (Marusic, A.)

Paper	Title	Page
MOPHA109	Python Based Application for Beam Current Transformer Signal Analysis	473
MOPHA107	use link to see paper's listing under its alternate paper code
	M.C. Paniccia, D.M. Gassner, A. Marusic, A. Sukhanov BNL, Upton, New York, USA
	Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy. There are a variety of beam current transformers that are used at all accelerator facilities for current and bunch charge measurements. Transformer signals are traditionally measured using integrator electronics followed by a digitizer. However, integrator circuits have a limited bandwidth and are susceptible to noise. By directly digitizing the output of the transformer, the signal bandwidth is limited only by the transformer characteristics and the digitizing platform. Digital integration and filtering can then easily be applied to reduce noise resulting in an overall improvement of the beam parameter measurements. This paper describes a Python-based application that performs the filtering and integration of a current transformer pulse that has been directly digitized by an oscilloscope.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA109
About •	paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

MOPHA109

Python Based Application for Beam Current Transformer Signal Analysis

473

MOPHA107

use link to see paper's listing under its alternate paper code

M.C. Paniccia, D.M. Gassner, A. Marusic, A. Sukhanov
BNL, Upton, New York, USA

Funding: Work supported by Brookhaven Science Associates, LLC under Contract No. DE-SC0012704 with the U.S. Department of Energy.
There are a variety of beam current transformers that are used at all accelerator facilities for current and bunch charge measurements. Transformer signals are traditionally measured using integrator electronics followed by a digitizer. However, integrator circuits have a limited bandwidth and are susceptible to noise. By directly digitizing the output of the transformer, the signal bandwidth is limited only by the transformer characteristics and the digitizing platform. Digital integration and filtering can then easily be applied to reduce noise resulting in an overall improvement of the beam parameter measurements. This paper describes a Python-based application that performs the filtering and integration of a current transformer pulse that has been directly digitized by an oscilloscope.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA109

About •

paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)