ICALEPCS2023 - List of Authors (Hardion, V.)

Paper	Title	Page
TUMBCMO19	MAX IV Laboratory’s Control System Evolution and Future Strategies	395
	V. Hardion, P.J. Bell, T. Eriksson, M. Lindberg, P. Sjöblom, D.P. Spruce MAX IV Laboratory, Lund University, Lund, Sweden
	The MAX IV Laboratory, a 4th generation synchrotron radiation facility located in southern Sweden, has been operational since 2016. With multiple beamlines and experimental stations completed and in steady use, the facility is now approaching the third phase of development, which includes the final two of the 16 planned beamlines in user operation. The focus is on achieving operational excellence by optimizing reliability and performance. Meanwhile, the strategy for the coming years is driven by the need to accommodate a growing user base, exploring the possibility of operating a Soft X-ray Laser (SXL), and achieving the diffraction limit for 10 keV of the 3 GeV. The Technical Division is responsible for the control and computing systems of the entire laboratory. This new organization provides a coherent strategy and a clear vision, with the ultimate goal of enabling science. The increasing demand for more precise and efficient control systems has led to significant developments and maintenance efforts. Pushing the limits in remote access, data generation, time-resolved and fly-scan experiments, and beam stability requires the proper alignment of technology in IT infrastructure, electronics, software, data analysis, and management. This article discusses the motivation behind the updates, emphasizing the expansion of the control system’s capabilities and reliability. Lastly, the technological strategy will be presented to keep pace with the rapidly evolving technology landscape, ensuring that MAX IV is prepared for its next major upgrade.
	Slides TUMBCMO19 [8.636 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO19
About •	Received ※ 06 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 24 November 2023 — Issued ※ 29 November 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUMBCMO38	Towards the Zero Code Waste to Increase the Impact of Science	456
	P.P. Goryl, W. Soroka, Ł. Żytniak S2Innovation, Kraków, Poland A. Götz ESRF, Grenoble, France V. Hardion MAX IV Laboratory, Lund University, Lund, Sweden S. Hauf EuXFEL, Schenefeld, Germany K.S. White ORNL, Oak Ridge, Tennessee, USA
	Accelerators and other big science facilities rely heavily on internally developed technologies, including control system software. Much of it can and is shared between labs, like the Tango Controls and EPICS. Then, some of it finds broad application outside science, like the famous World Wide Web. However, there are still a lot of duplicating efforts in the labs, and a lot of software has the potential to be applied in other areas. Increasing collaboration and involving private companies can help avoid redundant work. It can decrease the overall costs of laboratory development and operation. Having private industry involved in technology development also increases the chances of new applications. This can positively impact society, which means effective spending of public funds. The talk will be based on the results of a survey looking at how much scientific institutes and companies focus on collaboration and dissemination in the field of software technologies. It will also include remarks based on the authors’ experiences in building an innovative ecosystem.
	Slides TUMBCMO38 [0.294 MB]
	Poster TUMBCMO38 [1.016 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO38
About •	Received ※ 06 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 28 November 2023 — Issued ※ 06 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP044	Improving Performance of Taranta: Analysis of Memory Requests and Implementation of the Solution	617
	M. Canzari INAF - OAAB, Teramo, Italy V. Alberti INAF-OAT, Trieste, Italy A. Dubey PSL, Pune, India M. Eguiraun, J. Forsberg, V. Hardion MAX IV Laboratory, Lund University, Lund, Sweden A. Georgiou CGI, Edinburgh, United Kingdom H.R. Ribeiro Universidade do Porto, Faculdade de Ciências, Porto, Portugal
	Taranta is a software suite for generating graphical interfaces for Tango Controls software, currently adopted by MaxIV for scientific experiment usage, SKA during the current construction phase for the development of engineering interfaces for device debugging, and other institutions. A key feature of Taranta is the ability to create customizable dashboards without writing code, making it easy to create and share views among users by linking the dashboards to their own tango devices. However, due to the simplicity and capabilities of Taranta’s widgets, more and more users are creating complex dashboards, which can cause client-side resource problems. Through an analysis of dashboards, we have found that excessive memory requests are generated by a large amount of data. In this article, we report on the process we believe will help us solve this performance issue. Starting with an analysis of the existing architecture, the issues encountered, and performance tests, we identify the causes of these problems. We then study a new architecture exploiting all the potential of the Javascript framework React on which Taranta is built, before moving on to implementation of the solution.
	Poster TUPDP044 [1.549 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP044
About •	Received ※ 04 October 2023 — Revised ※ 18 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 16 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WE3BCO08	Efficient and Automated Metadata Recording and Viewing for Scientific Experiments at MAX IV	1041
	D. van Dijken, V. Da Silva, M. Eguiraun, V. Hardion, J.M. Klingberg, M. Leorato, M. Lindberg MAX IV Laboratory, Lund University, Lund, Sweden
	With the advancements in beamline instrumentation, synchrotron research facilities have seen a significant improvement. The detectors used today can generate thousands of frames within seconds. Consequently, an organized and adaptable framework is essential to facilitate the efficient access and assessment of the enormous volumes of data produced. Our communication presents a metadata management solution recently implemented at MAX IV, which automatically retrieves and records metadata from Tango devices relevant to the current experiment. The solution includes user-selected scientific metadata and predefined defaults related to the beamline setup, which are integrated into the Sardana control system and automatically recorded during each scan via the SciFish[1] library. The metadata recorded is stored in the SciCat[2] database, which can be accessed through a web-based interface called Scanlog[3]. The interface, built on ReactJS, allows users to easily sort, filter, and extract important information from the recorded metadata. The tool also provides real-time access to metadata, enabling users to monitor experiments and export data for post-processing. These new software tools ensure that recorded data is findable, accessible, interoperable and reusable (FAIR[4]) for many years to come. Collaborations are on-going to develop these tools at other particle accelerator research facilities. [1] https://gitlab.com/MaxIV/lib-maxiv-scifish [2] https://scicatproject.github.io/ [3] https://gitlab.com/MaxIV/svc-maxiv-scanlog [4] https://www.nature.com/articles/sdata201618
	Slides WE3BCO08 [1.914 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-WE3BCO08
About •	Received ※ 06 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 16 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TH1BCO03	The Tango Controls Collaboration Status in 2023	1100
	T. Juerges SKAO, Macclesfield, United Kingdom G. Abeillé SOLEIL, Gif-sur-Yvette, France R.J. Auger-Williams OSL, St Ives, Cambridgeshire, United Kingdom B. Bertrand, V. Hardion, A.F. Joubert MAX IV Laboratory, Lund University, Lund, Sweden R. Bourtembourg, A. Götz, D. Lacoste, N. Leclercq ESRF, Grenoble, France T. Braun byte physics, Annaburg, Germany G. Cuní, C. Pascual-Izarra, S. Rubio-Manrique ALBA-CELLS, Cerdanyola del Vallès, Spain Yu. Matveev DESY, Hamburg, Germany M. Nabywaniec, T.R. Noga, Ł. Żytniak S2Innovation, Kraków, Poland L. Pivetta Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	Since 2021 the Tango Controls collaboration has improved and optimised its efforts in many areas. Not only have Special Interest Group meetings (SIGs) been introduced to speed up the adoption of new technologies or improvements, the kernel has switched to a fixed six-month release cycle for quicker adoption of stable kernel versions by the community. CI/CD provides now early feedback on test failures and compatibility issues. Major code refactoring allowed for a much more efficient use of developer resources. Relevant bug fixes, improvements and new features are now adopted at a much higher rate than ever before. The community participation has also noticeably improved. The kernel switched to C++14 and the logging system is undergoing a major refactoring. Among many new features and tools is jupyTango, Jupyter Notebooks on Tango Controls steroids. PyTango is now easy to install via binary wheels, old Python versions are no longer supported, the build-system is switching to CMake, and releases are now made much closer to stable cppTango releases.
	Slides TH1BCO03 [1.357 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH1BCO03
About •	Received ※ 05 October 2023 — Revised ※ 24 October 2023 — Accepted ※ 21 November 2023 — Issued ※ 13 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

FR2BCO03	Taranta Project - Update and Current Status	1657
	Y.L. Li, M. Eguiraun, J. Forsberg, V. Hardion, M. Leorato MAX IV Laboratory, Lund University, Lund, Sweden V. Alberti INAF-OAT, Trieste, Italy M. Canzari INAF - OAAB, Teramo, Italy A. Dubey PSL, Pune, India M. Gandor, D.T. Trojanowska S2Innovation, Kraków, Poland H.R. Ribeiro Universidade do Porto, Faculdade de Ciências, Porto, Portugal
	Taranta, developed jointly by MAX IV Laboratory and SKA Observatory, is a web based no-code interface for remote control of instruments at accelerators and other scientific facilities. It has seen a great success in system development and scientific experiment usage. In the past two years, the panel of users has greatly expanded. The first generation of Taranta was not able to handle the challenges introduced by the user cases, notably the decreased performance when a high number of data points are requested, as well as new functionality requests. Therefore, a series of refactoring and performance improvements of Taranta are ongoing, to prepare it for handling large data transmission between Taranta and multiple sources of information, and to provide more possibilities for users to develop their own dashboards. This article presents the status of the Taranta project from the aspects of widgets updates, packages management, optimization of the communication with the backend TangoGQL, as well as the investigation on a new python library compatible with the newest python version for TangoGQL. In addition to the technical improvements, more facilities other than MAX IV and SKAO are considering to join Taranta project. One workshop has been successfully held and there will be more in the future. This article also presents the lesson learned from this project, the road map, and the GUI strategy for the near future.
	Slides FR2BCO03 [4.759 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR2BCO03
About •	Received ※ 06 October 2023 — Accepted ※ 21 November 2023 — Issued ※ 23 November 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

MAX IV Laboratory’s Control System Evolution and Future Strategies

395

V. Hardion, P.J. Bell, T. Eriksson, M. Lindberg, P. Sjöblom, D.P. Spruce
MAX IV Laboratory, Lund University, Lund, Sweden

The MAX IV Laboratory, a 4th generation synchrotron radiation facility located in southern Sweden, has been operational since 2016. With multiple beamlines and experimental stations completed and in steady use, the facility is now approaching the third phase of development, which includes the final two of the 16 planned beamlines in user operation. The focus is on achieving operational excellence by optimizing reliability and performance. Meanwhile, the strategy for the coming years is driven by the need to accommodate a growing user base, exploring the possibility of operating a Soft X-ray Laser (SXL), and achieving the diffraction limit for 10 keV of the 3 GeV. The Technical Division is responsible for the control and computing systems of the entire laboratory. This new organization provides a coherent strategy and a clear vision, with the ultimate goal of enabling science. The increasing demand for more precise and efficient control systems has led to significant developments and maintenance efforts. Pushing the limits in remote access, data generation, time-resolved and fly-scan experiments, and beam stability requires the proper alignment of technology in IT infrastructure, electronics, software, data analysis, and management. This article discusses the motivation behind the updates, emphasizing the expansion of the control system’s capabilities and reliability. Lastly, the technological strategy will be presented to keep pace with the rapidly evolving technology landscape, ensuring that MAX IV is prepared for its next major upgrade.

Slides TUMBCMO19 [8.636 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO19

About •

Received ※ 06 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 24 November 2023 — Issued ※ 29 November 2023

Cite •

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

TUMBCMO38

Towards the Zero Code Waste to Increase the Impact of Science

456

P.P. Goryl, W. Soroka, Ł. Żytniak
S2Innovation, Kraków, Poland
A. Götz
ESRF, Grenoble, France
V. Hardion
MAX IV Laboratory, Lund University, Lund, Sweden
S. Hauf
EuXFEL, Schenefeld, Germany
K.S. White
ORNL, Oak Ridge, Tennessee, USA

Accelerators and other big science facilities rely heavily on internally developed technologies, including control system software. Much of it can and is shared between labs, like the Tango Controls and EPICS. Then, some of it finds broad application outside science, like the famous World Wide Web. However, there are still a lot of duplicating efforts in the labs, and a lot of software has the potential to be applied in other areas. Increasing collaboration and involving private companies can help avoid redundant work. It can decrease the overall costs of laboratory development and operation. Having private industry involved in technology development also increases the chances of new applications. This can positively impact society, which means effective spending of public funds. The talk will be based on the results of a survey looking at how much scientific institutes and companies focus on collaboration and dissemination in the field of software technologies. It will also include remarks based on the authors’ experiences in building an innovative ecosystem.

Slides TUMBCMO38 [0.294 MB]

Poster TUMBCMO38 [1.016 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUMBCMO38

About •

Received ※ 06 October 2023 — Revised ※ 12 October 2023 — Accepted ※ 28 November 2023 — Issued ※ 06 December 2023

Cite •

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

TUPDP044

Improving Performance of Taranta: Analysis of Memory Requests and Implementation of the Solution

617

M. Canzari
INAF - OAAB, Teramo, Italy
V. Alberti
INAF-OAT, Trieste, Italy
A. Dubey
PSL, Pune, India
M. Eguiraun, J. Forsberg, V. Hardion
MAX IV Laboratory, Lund University, Lund, Sweden
A. Georgiou
CGI, Edinburgh, United Kingdom
H.R. Ribeiro
Universidade do Porto, Faculdade de Ciências, Porto, Portugal

Taranta is a software suite for generating graphical interfaces for Tango Controls software, currently adopted by MaxIV for scientific experiment usage, SKA during the current construction phase for the development of engineering interfaces for device debugging, and other institutions. A key feature of Taranta is the ability to create customizable dashboards without writing code, making it easy to create and share views among users by linking the dashboards to their own tango devices. However, due to the simplicity and capabilities of Taranta’s widgets, more and more users are creating complex dashboards, which can cause client-side resource problems. Through an analysis of dashboards, we have found that excessive memory requests are generated by a large amount of data. In this article, we report on the process we believe will help us solve this performance issue. Starting with an analysis of the existing architecture, the issues encountered, and performance tests, we identify the causes of these problems. We then study a new architecture exploiting all the potential of the Javascript framework React on which Taranta is built, before moving on to implementation of the solution.

Poster TUPDP044 [1.549 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP044

About •

Received ※ 04 October 2023 — Revised ※ 18 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 16 December 2023

Cite •

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

WE3BCO08

Efficient and Automated Metadata Recording and Viewing for Scientific Experiments at MAX IV

1041

D. van Dijken, V. Da Silva, M. Eguiraun, V. Hardion, J.M. Klingberg, M. Leorato, M. Lindberg
MAX IV Laboratory, Lund University, Lund, Sweden

With the advancements in beamline instrumentation, synchrotron research facilities have seen a significant improvement. The detectors used today can generate thousands of frames within seconds. Consequently, an organized and adaptable framework is essential to facilitate the efficient access and assessment of the enormous volumes of data produced. Our communication presents a metadata management solution recently implemented at MAX IV, which automatically retrieves and records metadata from Tango devices relevant to the current experiment. The solution includes user-selected scientific metadata and predefined defaults related to the beamline setup, which are integrated into the Sardana control system and automatically recorded during each scan via the SciFish[1] library. The metadata recorded is stored in the SciCat[2] database, which can be accessed through a web-based interface called Scanlog[3]. The interface, built on ReactJS, allows users to easily sort, filter, and extract important information from the recorded metadata. The tool also provides real-time access to metadata, enabling users to monitor experiments and export data for post-processing. These new software tools ensure that recorded data is findable, accessible, interoperable and reusable (FAIR[4]) for many years to come. Collaborations are on-going to develop these tools at other particle accelerator research facilities.
[1] https://gitlab.com/MaxIV/lib-maxiv-scifish
[2] https://scicatproject.github.io/
[3] https://gitlab.com/MaxIV/svc-maxiv-scanlog
[4] https://www.nature.com/articles/sdata201618

Slides WE3BCO08 [1.914 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-WE3BCO08

About •

Received ※ 06 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 16 December 2023

Cite •

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

TH1BCO03

The Tango Controls Collaboration Status in 2023

1100

T. Juerges
SKAO, Macclesfield, United Kingdom
G. Abeillé
SOLEIL, Gif-sur-Yvette, France
R.J. Auger-Williams
OSL, St Ives, Cambridgeshire, United Kingdom
B. Bertrand, V. Hardion, A.F. Joubert
MAX IV Laboratory, Lund University, Lund, Sweden
R. Bourtembourg, A. Götz, D. Lacoste, N. Leclercq
ESRF, Grenoble, France
T. Braun
byte physics, Annaburg, Germany
G. Cuní, C. Pascual-Izarra, S. Rubio-Manrique
ALBA-CELLS, Cerdanyola del Vallès, Spain
Yu. Matveev
DESY, Hamburg, Germany
M. Nabywaniec, T.R. Noga, Ł. Żytniak
S2Innovation, Kraków, Poland
L. Pivetta
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

Since 2021 the Tango Controls collaboration has improved and optimised its efforts in many areas. Not only have Special Interest Group meetings (SIGs) been introduced to speed up the adoption of new technologies or improvements, the kernel has switched to a fixed six-month release cycle for quicker adoption of stable kernel versions by the community. CI/CD provides now early feedback on test failures and compatibility issues. Major code refactoring allowed for a much more efficient use of developer resources. Relevant bug fixes, improvements and new features are now adopted at a much higher rate than ever before. The community participation has also noticeably improved. The kernel switched to C++14 and the logging system is undergoing a major refactoring. Among many new features and tools is jupyTango, Jupyter Notebooks on Tango Controls steroids. PyTango is now easy to install via binary wheels, old Python versions are no longer supported, the build-system is switching to CMake, and releases are now made much closer to stable cppTango releases.

Slides TH1BCO03 [1.357 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TH1BCO03

About •

Received ※ 05 October 2023 — Revised ※ 24 October 2023 — Accepted ※ 21 November 2023 — Issued ※ 13 December 2023

Cite •

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

FR2BCO03

Taranta Project - Update and Current Status

1657

Y.L. Li, M. Eguiraun, J. Forsberg, V. Hardion, M. Leorato
MAX IV Laboratory, Lund University, Lund, Sweden
V. Alberti
INAF-OAT, Trieste, Italy
M. Canzari
INAF - OAAB, Teramo, Italy
A. Dubey
PSL, Pune, India
M. Gandor, D.T. Trojanowska
S2Innovation, Kraków, Poland
H.R. Ribeiro
Universidade do Porto, Faculdade de Ciências, Porto, Portugal

Taranta, developed jointly by MAX IV Laboratory and SKA Observatory, is a web based no-code interface for remote control of instruments at accelerators and other scientific facilities. It has seen a great success in system development and scientific experiment usage. In the past two years, the panel of users has greatly expanded. The first generation of Taranta was not able to handle the challenges introduced by the user cases, notably the decreased performance when a high number of data points are requested, as well as new functionality requests. Therefore, a series of refactoring and performance improvements of Taranta are ongoing, to prepare it for handling large data transmission between Taranta and multiple sources of information, and to provide more possibilities for users to develop their own dashboards. This article presents the status of the Taranta project from the aspects of widgets updates, packages management, optimization of the communication with the backend TangoGQL, as well as the investigation on a new python library compatible with the newest python version for TangoGQL. In addition to the technical improvements, more facilities other than MAX IV and SKAO are considering to join Taranta project. One workshop has been successfully held and there will be more in the future. This article also presents the lesson learned from this project, the road map, and the GUI strategy for the near future.

Slides FR2BCO03 [4.759 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR2BCO03

About •

Received ※ 06 October 2023 — Accepted ※ 21 November 2023 — Issued ※ 23 November 2023

Cite •

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