ICALEPCS2021 - List of Keywords (vacuum)

Paper	Title	Other Keywords	Page
TUPV014	Control System of a Portable Pumping Station for Ultra-High Vacuum	PLC, interface, controls, software	418
	M. Trevi, E. Mazzucco, L. Rumiz, D. Vittor Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	Particle accelerators operate in Ultra High Vacuum conditions, which have to be restored after a maintenance activity requiring venting the vacuum chamber. A compact, independent and portable pumping station has been developed at Elettra Sincrotrone Trieste to pump the vacuum chamber and to restore the correct local pressure.. The system automatically achieves a good vacuum level and can detect and manage vacuum leaks . It has been designed and manufactured in-house, including the mechanical, electrical and control parts. By means of a touch screen an operator can start all the manual and automatic operations, and monitor the relevant variables and alarms. The system archives the operating data and displays trends, alarms and logged events; these data are downloadable to a removable USB stick. Controlled devices include two turbomolecular pumps, one primary pump, vacuum gauges and one residual gas analyser. The control system has been implemented with a Beckhoff PLC with RS-485 and Profibus interfaces. This paper focuses in particular on the events management and object-oriented approach adopted to achieve a good modularity and scalability of the system.
	Poster TUPV014 [0.876 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV014
About •	Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 20 November 2021 Issue date ※ 30 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPV020	Automatic RF and Electron Gun Filament Conditioning Systems for 6 MeV LINAC	cavity, electron, controls, gun	437
	A. Majid, D.A. Nawaz, N.U. Saqib, F. Sher PINSTECH, Islamabad, Pakistan
	RF conditioning of vacuum windows and RF cavities is a necessary task for eliminating poor vacuum caused by outgassing and contamination. Also, startup and shutdown process of linear accelerator requires gradual increase and decrease of electron gun filament voltage to avoid damage to the filament. This paper presents an EPICS based multi-loop automatic RF conditioning system and Electron Gun filament conditioning system for Klystron based 6 MeV Linear Accelerator.
	Poster TUPV020 [1.822 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV020
About •	Received ※ 10 October 2021 Revised ※ 17 October 2021 Accepted ※ 20 November 2021 Issue date ※ 26 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPV031	LHC Vacuum Supervisory Application for Run 3	controls, PLC, hardware, interlocks	459
	S. Blanchard, I.A. Amador, N. Chatzigeorgiou, R. Ferreira, J.D. Francisco Rebelo, P. Gomes, C.V. Lima, G. Pigny, A.P. Rocha, L. Zygaropoulos CERN, Geneva, Switzerland
	The LHC Vacuum Supervisory Control and Data Acquisition application has been upgraded to fulfil the new requirements of Long Shutdown 2 and Run 3. The number of datapoint elements has been increased from 700k to 1.5M, which constitutes a challenge in terms of scalability. The new configuration of pumping station control hardware has led to an increase in the number of permanently connected PLCs from 150 to almost 300. A new concept has been developed and deployed, in which the PLC configuration is updated online. The goals were to automate, and to speed up periodic updates of the control system. Integrating of the wireless mobile equipment had led to the acquisition of expertise in dealing with temporary connections and dynamic insertion of device representation in the synoptic. Other new features include: the introduction of an innovative remote control and representation in synoptic panel of hardware interlocks, the development of a pre-configured notification system, and the integration of asset management into the user interface.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV031
About •	Received ※ 05 October 2021 Revised ※ 17 October 2021 Accepted ※ 20 November 2021 Issue date ※ 11 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV023	Development of a Smart Alarm System for the CEBAF Injector	operation, network, solenoid, quadrupole	691
	D.T. Abell, J.P. Edelen RadiaSoft LLC, Boulder, Colorado, USA B.G. Freeman, R. Kazimi, D.G. Moser, C. Tennant JLab, Newport News, Virginia, USA
	Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Award Number DE-SC0019682. RadiaSoft and Jefferson Laboratory are working together to develop a machine-learning-based smart alarm system for the CEBAF injector. Because of the injector’s large number of parameters and possible fault scenarios, it is highly desirable to have an autonomous alarm system that can quickly identify and diagnose unusual machine states. We present our work on artificial neural networks designed to identify such undesirable machine states. In particular, we test both auto-encoders and inverse models as possible tools for differentiating between normal and abnormal states. These models are being developed using both supervised and unsupervised learning techniques, and are being trained using CEBAF injector data collected during dedicated machine studies as well as during regular operations. Lastly, we discuss tradeoffs between the two types of models.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV023
About •	Received ※ 10 October 2021 Accepted ※ 19 January 2022 Issue date ※ 14 March 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV034	Equipment and Personal Protection Systems for the Sirius Beamlines	interface, EPICS, controls, status	729
	L.C. Arruda, G.T. Barreto, M.P. Calcanha, L.U. Camacho, H.F. Canova, F.H. Cardoso, J.V.B. Franca, G.L.M.P. Rodrigues LNLS, Campinas, Brazil F.A. Bacchim Neto, F.N. Moura CNPEM, Campinas, SP, Brazil
	Funding: Work supported by the Brazilian Ministry of Science, Technology and Innovation The beamlines and front ends at Sirius, the Brazilian 4th generation synchrotron light source, require monitoring and protection systems for personal and equipment safety in general, due to the high beam power dissipated along the beamline, vacuum safety, secure radiation levels, use of robots, special gases, cryogenic systems, and other highly sensitive and costly equipment throughout the facility. Two distinct programable logic controllers (PLC) were then deployed to create the Equipment Protection System (EPS) and the Personal Protection System (PPS). This work presents an overview of the EPS/PPS - requirements, architecture, design and deployment details, and commissioning results for the first set of beamlines.
	Poster WEPV034 [1.082 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV034
About •	Received ※ 09 October 2021 Revised ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 19 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV036	The LMJ Target Chamber Diagnostic Module	target, laser, experiment, Windows	734
	R. Clot CEA, LE BARP cedex, France
	The Laser MegaJoule (LMJ), the French 176-beam laser facility, is located at the CEA CESTA Laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. The first bundle of 8-beams was commissioned in October 2014. By the end of 2021, ten bundles of 8-beams are expected to be fully operational. Due to energy levels achieved, optical components located at the end of the bundles are highly subject to damage stresses. This is particularly the case with vacuum windows whose integrity is critical. To measure these damages, identify the growth laws, and prevent their degradation (through blockers), the Target Chamber Diagnostic Module (TCDM) was integrated into the LMJ installation in 2019. This diagnostic, which also measures the windows transmission rate, as well as the spatial energy distribution at the end of the bundles, has been designed to operate automatically at night, between two experiments. This presentation describes this 2 years feedback of TCDM and presents the areas for improvement which have been identified to optimize its efficiency and reduce its timeline.
	Slides WEPV036 [2.047 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV036
About •	Received ※ 08 October 2021 Accepted ※ 05 January 2022 Issue date ※ 25 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV040	Design of Machine Protection System for SXFEL-UF	FEL, controls, operation, interface	750
	C.L. Yu, J.G. Ding, H. Zhao SSRF, Shanghai, People’s Republic of China
	Shanghai Soft X-ray Free-Electron Laser (SXFEL) facility is divided into two phases: the SXFEL test facility (SXFEL-TF) and the SXFEL user facility (SXFEL-UF). SXFEL-TF has met all the design specifications and has been available in beam operating state. SXFEL-UF is currently under commissioning and is planned to generate 3 nm FEL radiation using a 1.5 GeV electron LINAC. To protect the critical equipment rapidly and effectively from unexpected damage, a reliable safety interlocking system needs to be designed. Machine Protection System (MPS) is designed by Programmable Logic Controller (PLC) and Experimental Physics and Industrial Control System (EPICS) which is based on a master-slave architecture. In order to meet different commissioning and operation requirements, the management and switching functions of eight operation modes are introduced in the MPS system. There are two FEL line in user facility named SXFEL beamline project (BSP) and undulator (UD) , and the corresponding design of MPS is completed. This paper focuses on the progress and challenges associated with the SXFEL-UF MPS.
	Poster WEPV040 [0.883 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV040
About •	Received ※ 10 October 2021 Revised ※ 20 October 2021 Accepted ※ 21 November 2021 Issue date ※ 07 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THAL03	Machine Learning Based Middle-Layer for Autonomous Accelerator Operation and Control	controls, linac, operation, gun	797
	S. Pioli, B. Buonomo, D. Di Giovenale, C. Di Giulio, L.G. Foggetta, G. Piermarini LNF-INFN, Frascati, Italy F. Cardelli, P. Ciuffetti INFN/LNF, Frascati, Italy V. Martinelli INFN/LNL, Legnaro (PD), Italy
	The Singularity project, led by National Laboratories of Frascati of the National Institute for Nuclear Physics (INFN-LNF), aim to develop automated machine-independent middle-layer to control accelerator operation through machine learning (ML) algorithms like Reinforcement Learning (RL) and Cluster integrated with accelerator’s sub-systems. In this work we will present architecture and of the middle-layer made with main purpose to drive user requests through the control framework backend and allow users to enjoy a better User Experience (UX) handling system performances without facing problems due to the interaction with control system. We will report the strategy to develop autonomous operation control with RL algorithms together with the fault detection capability improved by Clustering approach as breakdown and waveguide and RF cavity thermal stability monitor. Results of the first period of operation of this system, currently operating at the electron-positron LINAC of the Dafne complex in Frascati, autonomously controlling accelerator performance in terms of beam transport, beam current optimization and RF cavity phase-jitter compensation will be reported.
	Slides THAL03 [0.960 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAL03
About •	Received ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 16 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPV048	Novel Control System for the LHCb Scintillating Fibre Tracker Detector Infrastructure	detector, controls, PLC, electron	981
	M. Ostrega, M.A. Ciupinski, S. Jakobsen, X. Pons CERN, Geneva, Switzerland
	During the Long Shutdown 2 of the LHC at CERN, the LHCb detector is upgraded to cope with higher instantaneous luminosities. The largest of the new trackers is based on the scintillating fibres (SciFi) read out by SIlicon PhotoMultipliers (SiPMs). The SiPMs will be cooled down to -40°C to minimize noise. For performance and space reasons, the cooling lines are vacuum insulated. Ionizing radiation requires detaching and displace the readout electronics from Pirani gauges to a lower radiation area. To avoid condensation inside the SiPM boxes, the atmosphere inside must have a dew point of at most -45°C. The low dew point will be achieved by flushing a dry gas through the box. 576 flowmeters devices will be installed to monitor the gas flow continuously. A Condensation Prevention System (CPS) has been introduced as condensation was observed. The CPS powers heating wires installed around the SiPM boxes and the vacuum bellows isolating the cooling lines. The CPS also includes 672 temperature sensors to monitor that all parts are warmer than the cavern dew point. The temperature readout systems are based on multiplexing technology at the in the front-end and a PLC in the back-end.
	Poster THPV048 [8.181 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV048
About •	Received ※ 10 October 2021 Revised ※ 22 October 2021 Accepted ※ 22 November 2021 Issue date ※ 21 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

TUPV014

Control System of a Portable Pumping Station for Ultra-High Vacuum

PLC, interface, controls, software

418

M. Trevi, E. Mazzucco, L. Rumiz, D. Vittor
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

Particle accelerators operate in Ultra High Vacuum conditions, which have to be restored after a maintenance activity requiring venting the vacuum chamber. A compact, independent and portable pumping station has been developed at Elettra Sincrotrone Trieste to pump the vacuum chamber and to restore the correct local pressure.. The system automatically achieves a good vacuum level and can detect and manage vacuum leaks . It has been designed and manufactured in-house, including the mechanical, electrical and control parts. By means of a touch screen an operator can start all the manual and automatic operations, and monitor the relevant variables and alarms. The system archives the operating data and displays trends, alarms and logged events; these data are downloadable to a removable USB stick. Controlled devices include two turbomolecular pumps, one primary pump, vacuum gauges and one residual gas analyser. The control system has been implemented with a Beckhoff PLC with RS-485 and Profibus interfaces. This paper focuses in particular on the events management and object-oriented approach adopted to achieve a good modularity and scalability of the system.

Poster TUPV014 [0.876 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV014

About •

Received ※ 10 October 2021 Revised ※ 19 October 2021 Accepted ※ 20 November 2021 Issue date ※ 30 January 2022

Cite •

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

TUPV020

Automatic RF and Electron Gun Filament Conditioning Systems for 6 MeV LINAC

cavity, electron, controls, gun

437

A. Majid, D.A. Nawaz, N.U. Saqib, F. Sher
PINSTECH, Islamabad, Pakistan

RF conditioning of vacuum windows and RF cavities is a necessary task for eliminating poor vacuum caused by outgassing and contamination. Also, startup and shutdown process of linear accelerator requires gradual increase and decrease of electron gun filament voltage to avoid damage to the filament. This paper presents an EPICS based multi-loop automatic RF conditioning system and Electron Gun filament conditioning system for Klystron based 6 MeV Linear Accelerator.

Poster TUPV020 [1.822 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV020

About •

Received ※ 10 October 2021 Revised ※ 17 October 2021 Accepted ※ 20 November 2021 Issue date ※ 26 December 2021

Cite •

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

TUPV031

LHC Vacuum Supervisory Application for Run 3

controls, PLC, hardware, interlocks

459

S. Blanchard, I.A. Amador, N. Chatzigeorgiou, R. Ferreira, J.D. Francisco Rebelo, P. Gomes, C.V. Lima, G. Pigny, A.P. Rocha, L. Zygaropoulos
CERN, Geneva, Switzerland

The LHC Vacuum Supervisory Control and Data Acquisition application has been upgraded to fulfil the new requirements of Long Shutdown 2 and Run 3. The number of datapoint elements has been increased from 700k to 1.5M, which constitutes a challenge in terms of scalability. The new configuration of pumping station control hardware has led to an increase in the number of permanently connected PLCs from 150 to almost 300. A new concept has been developed and deployed, in which the PLC configuration is updated online. The goals were to automate, and to speed up periodic updates of the control system. Integrating of the wireless mobile equipment had led to the acquisition of expertise in dealing with temporary connections and dynamic insertion of device representation in the synoptic. Other new features include: the introduction of an innovative remote control and representation in synoptic panel of hardware interlocks, the development of a pre-configured notification system, and the integration of asset management into the user interface.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV031

About •

Received ※ 05 October 2021 Revised ※ 17 October 2021 Accepted ※ 20 November 2021 Issue date ※ 11 January 2022

Cite •

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

WEPV023

Development of a Smart Alarm System for the CEBAF Injector

operation, network, solenoid, quadrupole

691

D.T. Abell, J.P. Edelen
RadiaSoft LLC, Boulder, Colorado, USA
B.G. Freeman, R. Kazimi, D.G. Moser, C. Tennant
JLab, Newport News, Virginia, USA

Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Award Number DE-SC0019682.
RadiaSoft and Jefferson Laboratory are working together to develop a machine-learning-based smart alarm system for the CEBAF injector. Because of the injector’s large number of parameters and possible fault scenarios, it is highly desirable to have an autonomous alarm system that can quickly identify and diagnose unusual machine states. We present our work on artificial neural networks designed to identify such undesirable machine states. In particular, we test both auto-encoders and inverse models as possible tools for differentiating between normal and abnormal states. These models are being developed using both supervised and unsupervised learning techniques, and are being trained using CEBAF injector data collected during dedicated machine studies as well as during regular operations. Lastly, we discuss tradeoffs between the two types of models.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV023

About •

Received ※ 10 October 2021 Accepted ※ 19 January 2022 Issue date ※ 14 March 2022

Cite •

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

WEPV034

Equipment and Personal Protection Systems for the Sirius Beamlines

interface, EPICS, controls, status

729

L.C. Arruda, G.T. Barreto, M.P. Calcanha, L.U. Camacho, H.F. Canova, F.H. Cardoso, J.V.B. Franca, G.L.M.P. Rodrigues
LNLS, Campinas, Brazil
F.A. Bacchim Neto, F.N. Moura
CNPEM, Campinas, SP, Brazil

Funding: Work supported by the Brazilian Ministry of Science, Technology and Innovation
The beamlines and front ends at Sirius, the Brazilian 4th generation synchrotron light source, require monitoring and protection systems for personal and equipment safety in general, due to the high beam power dissipated along the beamline, vacuum safety, secure radiation levels, use of robots, special gases, cryogenic systems, and other highly sensitive and costly equipment throughout the facility. Two distinct programable logic controllers (PLC) were then deployed to create the Equipment Protection System (EPS) and the Personal Protection System (PPS). This work presents an overview of the EPS/PPS - requirements, architecture, design and deployment details, and commissioning results for the first set of beamlines.

Poster WEPV034 [1.082 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV034

About •

Received ※ 09 October 2021 Revised ※ 19 October 2021 Accepted ※ 21 November 2021 Issue date ※ 19 December 2021

Cite •

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

WEPV036

The LMJ Target Chamber Diagnostic Module

target, laser, experiment, Windows

734

R. Clot
CEA, LE BARP cedex, France

The Laser MegaJoule (LMJ), the French 176-beam laser facility, is located at the CEA CESTA Laboratory near Bordeaux (France). It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. The first bundle of 8-beams was commissioned in October 2014. By the end of 2021, ten bundles of 8-beams are expected to be fully operational. Due to energy levels achieved, optical components located at the end of the bundles are highly subject to damage stresses. This is particularly the case with vacuum windows whose integrity is critical. To measure these damages, identify the growth laws, and prevent their degradation (through blockers), the Target Chamber Diagnostic Module (TCDM) was integrated into the LMJ installation in 2019. This diagnostic, which also measures the windows transmission rate, as well as the spatial energy distribution at the end of the bundles, has been designed to operate automatically at night, between two experiments. This presentation describes this 2 years feedback of TCDM and presents the areas for improvement which have been identified to optimize its efficiency and reduce its timeline.

Slides WEPV036 [2.047 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV036

About •

Received ※ 08 October 2021 Accepted ※ 05 January 2022 Issue date ※ 25 January 2022

Cite •

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

WEPV040

Design of Machine Protection System for SXFEL-UF

FEL, controls, operation, interface

750

C.L. Yu, J.G. Ding, H. Zhao
SSRF, Shanghai, People’s Republic of China

Shanghai Soft X-ray Free-Electron Laser (SXFEL) facility is divided into two phases: the SXFEL test facility (SXFEL-TF) and the SXFEL user facility (SXFEL-UF). SXFEL-TF has met all the design specifications and has been available in beam operating state. SXFEL-UF is currently under commissioning and is planned to generate 3 nm FEL radiation using a 1.5 GeV electron LINAC. To protect the critical equipment rapidly and effectively from unexpected damage, a reliable safety interlocking system needs to be designed. Machine Protection System (MPS) is designed by Programmable Logic Controller (PLC) and Experimental Physics and Industrial Control System (EPICS) which is based on a master-slave architecture. In order to meet different commissioning and operation requirements, the management and switching functions of eight operation modes are introduced in the MPS system. There are two FEL line in user facility named SXFEL beamline project (BSP) and undulator (UD) , and the corresponding design of MPS is completed. This paper focuses on the progress and challenges associated with the SXFEL-UF MPS.

Poster WEPV040 [0.883 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV040

About •

Received ※ 10 October 2021 Revised ※ 20 October 2021 Accepted ※ 21 November 2021 Issue date ※ 07 December 2021

Cite •

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

THAL03

Machine Learning Based Middle-Layer for Autonomous Accelerator Operation and Control

controls, linac, operation, gun

797

S. Pioli, B. Buonomo, D. Di Giovenale, C. Di Giulio, L.G. Foggetta, G. Piermarini
LNF-INFN, Frascati, Italy
F. Cardelli, P. Ciuffetti
INFN/LNF, Frascati, Italy
V. Martinelli
INFN/LNL, Legnaro (PD), Italy

The Singularity project, led by National Laboratories of Frascati of the National Institute for Nuclear Physics (INFN-LNF), aim to develop automated machine-independent middle-layer to control accelerator operation through machine learning (ML) algorithms like Reinforcement Learning (RL) and Cluster integrated with accelerator’s sub-systems. In this work we will present architecture and of the middle-layer made with main purpose to drive user requests through the control framework backend and allow users to enjoy a better User Experience (UX) handling system performances without facing problems due to the interaction with control system. We will report the strategy to develop autonomous operation control with RL algorithms together with the fault detection capability improved by Clustering approach as breakdown and waveguide and RF cavity thermal stability monitor. Results of the first period of operation of this system, currently operating at the electron-positron LINAC of the Dafne complex in Frascati, autonomously controlling accelerator performance in terms of beam transport, beam current optimization and RF cavity phase-jitter compensation will be reported.

Slides THAL03 [0.960 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THAL03

About •

Received ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 16 February 2022

Cite •

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

THPV048

Novel Control System for the LHCb Scintillating Fibre Tracker Detector Infrastructure

detector, controls, PLC, electron

981

M. Ostrega, M.A. Ciupinski, S. Jakobsen, X. Pons
CERN, Geneva, Switzerland

During the Long Shutdown 2 of the LHC at CERN, the LHCb detector is upgraded to cope with higher instantaneous luminosities. The largest of the new trackers is based on the scintillating fibres (SciFi) read out by SIlicon PhotoMultipliers (SiPMs). The SiPMs will be cooled down to -40°C to minimize noise. For performance and space reasons, the cooling lines are vacuum insulated. Ionizing radiation requires detaching and displace the readout electronics from Pirani gauges to a lower radiation area. To avoid condensation inside the SiPM boxes, the atmosphere inside must have a dew point of at most -45°C. The low dew point will be achieved by flushing a dry gas through the box. 576 flowmeters devices will be installed to monitor the gas flow continuously. A Condensation Prevention System (CPS) has been introduced as condensation was observed. The CPS powers heating wires installed around the SiPM boxes and the vacuum bellows isolating the cooling lines. The CPS also includes 672 temperature sensors to monitor that all parts are warmer than the cavern dew point. The temperature readout systems are based on multiplexing technology at the in the front-end and a PLC in the back-end.

Poster THPV048 [8.181 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV048

About •

Received ※ 10 October 2021 Revised ※ 22 October 2021 Accepted ※ 22 November 2021 Issue date ※ 21 December 2021

Cite •

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