ICALEPCS2021 - List of Authors (Hrabia, M.)

Paper	Title	Page
TUPV047	Controlling the CERN Experimental Area Beams	509
	B. Rae, V. Baggiolini, D. Banerjee, J. Bernhard, M. Brugger, N. Charitonidis, M. Gabriel, A. Gerbershagen, R. Gorbonosov, M. Hrabia, M. Peryt, C. Roderick, G. Romagnoli CERN, Geneva, Switzerland L. Gatignon Lancaster University, Lancaster, United Kingdom
	The CERN fixed target experimental areas are comprised of more than 8km of beam line with around 800 devices used to control and measure the beam. Each year more than 140 groups of users come to perform experiments in these areas, with a need to access the data from these devices. The software to allow this therefore has to be simple, robust, and be able to control and read out all types of beam devices. This contribution describes the functionality of the beamline control system, CESAR, and its evolution. This includes all the features that can be used by the beamline physicists, operators, and device experts that work in the experimental areas. It also underlines the flexibility that the software provides to the experimental users for control of their beam line during data taking, allowing them to manage this in a very easy and independent way. This contribution also covers the on-going work of providing MAD-X support to CESAR to achieve an easier way of developing and integrating beam optics. An overview of the on-going software migration of the Experimental Areas is also given.
	Poster TUPV047 [1.262 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV047
About •	Received ※ 11 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 December 2021 Issue date ※ 18 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV018	The Linac4 Source Autopilot	665
	M. Peryt, M. Hrabia, D. Noll, R. Scrivens CERN, Geneva, Switzerland
	The Linac4 source is a 2MHz, RF driven, H⁻ ion source, using caesium injection to enhance H⁻ production and lower the electron to H⁻ ratio. The source operates with 800µs long pulses at 1.2 second intervals. The stability of the beam intensity from the source requires adjustment of parameters like RF power used for plasma heating. The Linac4 Source Autopilot improves the stability and uptime of the source, by using high-level automation to monitor and control Device parameters of the source, in a time range of minutes to days. This paper describes the Autopilot framework, which incorporates standard CERN accelerator Controls infrastructure, and enables users to add domain specific code for their needs. User code typically runs continuously, adapting Device settings based on acquisitions. Typical use cases are slow feedback systems and procedure automation (e.g. resetting equipment). The novelty of the Autopilot is the successful integration of the Controls software based predominantly on Java technologies, with domain specific user code written in Python. This allows users to leverage a robust Controls infrastructure, with minimal effort, using the agility of the Python ecosystem.
	Poster WEPV018 [4.371 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV018
About •	Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 31 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Controlling the CERN Experimental Area Beams

509

B. Rae, V. Baggiolini, D. Banerjee, J. Bernhard, M. Brugger, N. Charitonidis, M. Gabriel, A. Gerbershagen, R. Gorbonosov, M. Hrabia, M. Peryt, C. Roderick, G. Romagnoli
CERN, Geneva, Switzerland
L. Gatignon
Lancaster University, Lancaster, United Kingdom

The CERN fixed target experimental areas are comprised of more than 8km of beam line with around 800 devices used to control and measure the beam. Each year more than 140 groups of users come to perform experiments in these areas, with a need to access the data from these devices. The software to allow this therefore has to be simple, robust, and be able to control and read out all types of beam devices. This contribution describes the functionality of the beamline control system, CESAR, and its evolution. This includes all the features that can be used by the beamline physicists, operators, and device experts that work in the experimental areas. It also underlines the flexibility that the software provides to the experimental users for control of their beam line during data taking, allowing them to manage this in a very easy and independent way. This contribution also covers the on-going work of providing MAD-X support to CESAR to achieve an easier way of developing and integrating beam optics. An overview of the on-going software migration of the Experimental Areas is also given.

Poster TUPV047 [1.262 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV047

About •

Received ※ 11 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 December 2021 Issue date ※ 18 January 2022

Cite •

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

WEPV018

The Linac4 Source Autopilot

665

M. Peryt, M. Hrabia, D. Noll, R. Scrivens
CERN, Geneva, Switzerland

The Linac4 source is a 2MHz, RF driven, H⁻ ion source, using caesium injection to enhance H⁻ production and lower the electron to H⁻ ratio. The source operates with 800µs long pulses at 1.2 second intervals. The stability of the beam intensity from the source requires adjustment of parameters like RF power used for plasma heating. The Linac4 Source Autopilot improves the stability and uptime of the source, by using high-level automation to monitor and control Device parameters of the source, in a time range of minutes to days. This paper describes the Autopilot framework, which incorporates standard CERN accelerator Controls infrastructure, and enables users to add domain specific code for their needs. User code typically runs continuously, adapting Device settings based on acquisitions. Typical use cases are slow feedback systems and procedure automation (e.g. resetting equipment). The novelty of the Autopilot is the successful integration of the Controls software based predominantly on Java technologies, with domain specific user code written in Python. This allows users to leverage a robust Controls infrastructure, with minimal effort, using the agility of the Python ecosystem.

Poster WEPV018 [4.371 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV018

About •

Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 31 December 2021

Cite •

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