ICALEPCS2023 - List of Keywords (instrumentation)

Paper	Title	Other Keywords	Page
MO4AO07	Status of the MicroTCA Based Beam Instrumentation DAQ Systems at GSI and FAIR	timing, hardware, FPGA, detector	239
	T. Hoffmann, H. Bräuning, R.N. Geißler, T. Milosic GSI, Darmstadt, Germany
	While the first FAIR accelerator buildings are soon to be completed, MicroTCA-based data acquisition sys-tems for FAIR beam instrumentation are ready for use. By using commercial off-the-shelf components as well as open hardware with in-house expertise in FPGA programming, there are now DAQ solutions for almost all major detector systems in MicroTCA in operation at the existing GSI accelerators. Applications span a wide range of detector systems and hardware, often taking advantage of the high channel density and data trans-mission bandwidth available with MicroTCA. All DAQ systems are synchronised and triggered using a com-prehensive White Rabbit based timing system. This allows correlation of the data from the distributed acquisition systems on a nanosecond scale. In this paper, we present some examples of our DAQ implemented in MicroTCA covering the range of beam current, tune, position and profile measurements. While the latter uses GigE cameras in combination with scintillating screens, the other applications are based on ADCs with different sampling frequencies between 125 MSa/s up to 2.5 GSa/s or latching scalers with up to 10 MHz latching frequency.
	Slides MO4AO07 [3.497 MB]
	Poster MO4AO07 [3.790 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO4AO07
About •	Received ※ 29 September 2023 — Revised ※ 07 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 07 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUMBCMO22	Integration of an MPSoC-based acquisition system into the CERN control system	controls, GUI, software, interface	409
	E. Balci, I. Degl’Innocenti, M. Gonzalez-Berges, S. Jackson, M. Krupa CERN, Meyrin, Switzerland
	Funding: CERN Future generations of Beam Instrumentation systems will be based on Multiprocessor System on Chip (MPSoC) technology. This new architecture will allow enhanced exploitation of instrumentation signals from CERN’s accelerator complex, and has thus been chosen as the next platform for several emerging systems. One of these systems, for the HL-LHC BPM (High-Luminosity LHC Beam Position Monitors), is currently at a prototyping stage, and it is planned to test this prototype with signals from real monitors in CERN’s accelerators during 2023. In order to facilitate the analysis of the prototype’s performance, a strategy to integrate the setting, control and data acquisition within CERN’s accelerator control system has been developed. This paper describes the exploration of various options and eventual choices to achieve a functional system, covering all aspects from data acquisition from the gateware, through to eventual logging on the accelerator logging database. It also describes how the experiences of integrating this prototype will influence future common strategies within the accelerator sector, highlighting how specific problems were addressed, and quantifying the performance we can eventually expect in the final MPSoC-based systems.
	Slides TUMBCMO22 [0.466 MB]
	Poster TUMBCMO22 [1.140 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO22
About •	Received ※ 06 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 27 November 2023 — Issued ※ 06 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP070	Open Time Proposal Submission System for the MeerKAT Radio Telescope	operation, software, site, data-management	666
	R.L. Schwartz, T.B. Baloyi, S.S. Sithole SARAO, Cape Town, South Africa
	Through periodic Call for Proposals, the South African Radio Astronomy Observatory (SARAO), allocates time on the MeerKAT Radio Telescope to the international community for the purpose of maximizing the scientific impact of the telescope, while contributing to South African scientific leadership and human capital development. Proposals are submitted through the proposal submission system, followed by a stringent review process where they are graded based on certain criteria. Time on the telescope is then allocated based on the grade and rank achieved. This paper outlines the details of the Open Time proposal submission and review process, and the design and implementation of the software used to grade the proposals and allocate the time on the MeerKAT Radio Telescope.
	Poster TUPDP070 [0.490 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP070
About •	Received ※ 27 September 2023 — Accepted ※ 13 October 2023 — Issued ※ 19 October 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPDP060	Beam Instrumentation Simulation in Python	simulation, electron, electronics, framework	1454
	M. Gonzalez-Berges, D. Alves, A. Boccardi, V. Chariton, I. Degl’Innocenti, S. Jackson, J. Martínez Samblas CERN, Meyrin, Switzerland
	The design of acquisition electronics for particle accelerator systems relies on simulations in various domains. System level simulation frameworks can integrate the results of specific tools with analytical models and stochastic analysis. This allows the designer to estimate the performance of different architectures, compare the results, and ultimately optimize the design. These simulation frameworks are often made of custom scripts for specific designs, which are hard to share or reuse. Adopting a standard interface for modular components can address these issues. Also, providing a graphical interface where these components can be easily configured, connected and the results visualised, eases the creation of simulations. This paper identifies which characteristics ISPy (Instrumentation Simulation in Python) should fulfill as a simulation framework. It subsequently proposes a standard format for signal-processing simulation modules. Existing environments which allow script integration and an intuitive graphical interface have then been evaluated and the KNIME Analytics Platform was the proposed solution. Additionally, the need to handle parameter sweeps for any parameter of the simulation, and the need for a bespoke visualisation tool will be discussed. Python has been chosen for all of these developments due to its flexibility and its wide adoption in the scientific community. The ensuing performance of the tool will also be discussed.
	Poster THPDP060 [2.931 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP060
About •	Received ※ 07 October 2023 — Accepted ※ 08 December 2023 — Issued ※ 12 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MO4AO07

Status of the MicroTCA Based Beam Instrumentation DAQ Systems at GSI and FAIR

timing, hardware, FPGA, detector

239

T. Hoffmann, H. Bräuning, R.N. Geißler, T. Milosic
GSI, Darmstadt, Germany

While the first FAIR accelerator buildings are soon to be completed, MicroTCA-based data acquisition sys-tems for FAIR beam instrumentation are ready for use. By using commercial off-the-shelf components as well as open hardware with in-house expertise in FPGA programming, there are now DAQ solutions for almost all major detector systems in MicroTCA in operation at the existing GSI accelerators. Applications span a wide range of detector systems and hardware, often taking advantage of the high channel density and data trans-mission bandwidth available with MicroTCA. All DAQ systems are synchronised and triggered using a com-prehensive White Rabbit based timing system. This allows correlation of the data from the distributed acquisition systems on a nanosecond scale. In this paper, we present some examples of our DAQ implemented in MicroTCA covering the range of beam current, tune, position and profile measurements. While the latter uses GigE cameras in combination with scintillating screens, the other applications are based on ADCs with different sampling frequencies between 125 MSa/s up to 2.5 GSa/s or latching scalers with up to 10 MHz latching frequency.

Slides MO4AO07 [3.497 MB]

Poster MO4AO07 [3.790 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO4AO07

About •

Received ※ 29 September 2023 — Revised ※ 07 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 07 December 2023

Cite •

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

TUMBCMO22

Integration of an MPSoC-based acquisition system into the CERN control system

controls, GUI, software, interface

409

E. Balci, I. Degl’Innocenti, M. Gonzalez-Berges, S. Jackson, M. Krupa
CERN, Meyrin, Switzerland

Funding: CERN
Future generations of Beam Instrumentation systems will be based on Multiprocessor System on Chip (MPSoC) technology. This new architecture will allow enhanced exploitation of instrumentation signals from CERN’s accelerator complex, and has thus been chosen as the next platform for several emerging systems. One of these systems, for the HL-LHC BPM (High-Luminosity LHC Beam Position Monitors), is currently at a prototyping stage, and it is planned to test this prototype with signals from real monitors in CERN’s accelerators during 2023. In order to facilitate the analysis of the prototype’s performance, a strategy to integrate the setting, control and data acquisition within CERN’s accelerator control system has been developed. This paper describes the exploration of various options and eventual choices to achieve a functional system, covering all aspects from data acquisition from the gateware, through to eventual logging on the accelerator logging database. It also describes how the experiences of integrating this prototype will influence future common strategies within the accelerator sector, highlighting how specific problems were addressed, and quantifying the performance we can eventually expect in the final MPSoC-based systems.

Slides TUMBCMO22 [0.466 MB]

Poster TUMBCMO22 [1.140 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO22

About •

Received ※ 06 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 27 November 2023 — Issued ※ 06 December 2023

Cite •

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

TUPDP070

Open Time Proposal Submission System for the MeerKAT Radio Telescope

operation, software, site, data-management

666

R.L. Schwartz, T.B. Baloyi, S.S. Sithole
SARAO, Cape Town, South Africa

Through periodic Call for Proposals, the South African Radio Astronomy Observatory (SARAO), allocates time on the MeerKAT Radio Telescope to the international community for the purpose of maximizing the scientific impact of the telescope, while contributing to South African scientific leadership and human capital development. Proposals are submitted through the proposal submission system, followed by a stringent review process where they are graded based on certain criteria. Time on the telescope is then allocated based on the grade and rank achieved. This paper outlines the details of the Open Time proposal submission and review process, and the design and implementation of the software used to grade the proposals and allocate the time on the MeerKAT Radio Telescope.

Poster TUPDP070 [0.490 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP070

About •

Received ※ 27 September 2023 — Accepted ※ 13 October 2023 — Issued ※ 19 October 2023

Cite •

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

THPDP060

Beam Instrumentation Simulation in Python

simulation, electron, electronics, framework

1454

M. Gonzalez-Berges, D. Alves, A. Boccardi, V. Chariton, I. Degl’Innocenti, S. Jackson, J. Martínez Samblas
CERN, Meyrin, Switzerland

The design of acquisition electronics for particle accelerator systems relies on simulations in various domains. System level simulation frameworks can integrate the results of specific tools with analytical models and stochastic analysis. This allows the designer to estimate the performance of different architectures, compare the results, and ultimately optimize the design. These simulation frameworks are often made of custom scripts for specific designs, which are hard to share or reuse. Adopting a standard interface for modular components can address these issues. Also, providing a graphical interface where these components can be easily configured, connected and the results visualised, eases the creation of simulations. This paper identifies which characteristics ISPy (Instrumentation Simulation in Python) should fulfill as a simulation framework. It subsequently proposes a standard format for signal-processing simulation modules. Existing environments which allow script integration and an intuitive graphical interface have then been evaluated and the KNIME Analytics Platform was the proposed solution. Additionally, the need to handle parameter sweeps for any parameter of the simulation, and the need for a bespoke visualisation tool will be discussed. Python has been chosen for all of these developments due to its flexibility and its wide adoption in the scientific community. The ensuing performance of the tool will also be discussed.

Poster THPDP060 [2.931 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP060

About •

Received ※ 07 October 2023 — Accepted ※ 08 December 2023 — Issued ※ 12 December 2023

Cite •

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