ICALEPCS2023 - List of Authors (Eguiraun, M.)

Paper	Title	Page
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)

TUPDP145	Position-Based Continuous Energy Scan Status at MAX IV	917
	Á. Freitas, N.S. Al-Habib, B. Bertrand, M. Eguiraun, I. Gorgisyan, A.F. Joubert, J. Lidón-Simon, M. Lindberg, C. Takahashi MAX IV Laboratory, Lund University, Lund, Sweden
	The traditional approach of step scanning in X-ray experiments is often inefficient and may increase the risk of sample radiation damage. In order to overcome these challenges, a new position-based continuous energy scanning system has been developed at MAX IV Laboratory. This system enables stable and repeatable measurements by continuously moving the motors during the scan. Triggers are generated in hardware based on the motor encoder positions to ensure precise data acquisition. Prior to the scan, a list of positions is generated, and triggers are produced as each position is reached. The system uses Tango and Sardana for control and a TriggerGate controller to calculate motor positions and configure the PandABox, which generates the triggers. The system is capable of scanning a single motor, such as a sample positioner, or a combined motion like a monochromator and undulator. In addition, the system can use the parametric trajectory mode of IcePAP driver, which enables continuous scans of coupled axes with non-linear paths. This paper presents the current status of the position-based continuous energy scanning system for BioMAX, FlexPES, and FinEst beamlines at MAX IV and discusses its potential to enhance the efficiency and accuracy of data acquisition at beamline endstations.
	Poster TUPDP145 [1.943 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP145
About •	Received ※ 05 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 29 November 2023 — Issued ※ 11 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)

THMBCMO09	DAQ System Based on Sardana and PandABox for Combined SAXS, Fluorescence and UV-Vis Spectroscopy Techniques at MAX IV CoSAXS Beamline
	V. Da Silva, R. Appio, M. Eguiraun, F. Herranz-Trillo, A.F. Joubert, M. Leorato, Y.L. Li, M. Lindberg, C. Takahashi, A.E. Terry MAX IV Laboratory, Lund University, Lund, Sweden C. Dicko Lund Institute of Technology (LTH), Lund University, Lund, Sweden W.T. Kitka S2Innovation, Kraków, Poland
	CoSAXS is the Coherent and Small Angle X-ray Scattering (SAXS) beamline placed at the diffraction-limited 3 GeV storage ring at MAX IV Laboratory. This paper presents the data acquisition (DAQ) strategy for combined SAXS, Ultraviolet-visible (UV-Vis) and Fluorescence Spectroscopy techniques. In general terms, the beamline control system is based on TANGO and on top of it, Sardana provides an advanced scan framework. Sardana performs the experiment orchestration, configuring and preparing the X-ray detector and the Spectrometers for UV-Vis and Fluorescence. Hardware triggers are used to synchronize the DAQ for the different techniques running simultaneously. The implementation is done using PandABox, which generates pulse trains for the X-ray detector and spectrometers. PandABox integration into the system is done with a Sardana Trigger Gate Controller, used to configure the pulse trains parameters as well to orchestrate the hardware triggers during a scan. This paper describes the individual techniques’ integration into the control system, the experiment orchestration and synchronization and the new experiment possibilities this multi-technique DAQ system brings to MAX IV beamlines.
	Slides THMBCMO09 [0.570 MB]
	Poster THMBCMO09 [1.600 MB]
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPDP054	Fast, Fully Automated Continuous Energy Scan at the Biomax Beamline at Max IV Laboratory
	I. Gorgisyan, P.J. Bell, M. Cascella, M. Eguiraun, Á. Freitas, A. Gonzalez, J. Lidón-Simon, J. Nan, C. Takahashi, T. Ursby MAX IV Laboratory, Lund University, Lund, Sweden
	BioMAX is an X-ray macromolecular crystallography (MX) beamline* at MAX IV Laboratory that delivers an X-ray beam with a photon flux of up to 1e13 ph/s. The photon energy at the beamline can be easily adjusted between 6 keV and 24 keV. At MX beamlines Single- and Multi-wavelength Anomalous Dispersion (SAD and MAD) methods are used for experimental phasing to reconstruct the macromolecular structures. To be able to benefit from these techniques, it is imperative for an MX beamline to have a fast and automated energy scan routine. This contribution reports on the newly implemented continuous energy scan procedure at BioMAX. The scan routine performs a synchronous motion of the undulator and monochromator motors to continuously scan the energy while measuring the fluorescence from the sample as the energy changes. The data acquisition during the scan is triggered by the actual energy value which is monitored throughout the scan at 1 MHz rate. The energy scan routine is fully automated and minimizes the radiation damage on the sample during the measurements. The scan itself is as short as one second making the overall procedure a factor of five faster than a conventional step scan. * Ursby T. et al. "BioMAX - the first macromolecular crystallography beamline at MAX IV Laboratory." Journal of Synchrotron Radiation 27, 1415 - 1729, (2020).
	Poster THPDP054 [4.700 MB]
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

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)

TUPDP145

Position-Based Continuous Energy Scan Status at MAX IV

917

Á. Freitas, N.S. Al-Habib, B. Bertrand, M. Eguiraun, I. Gorgisyan, A.F. Joubert, J. Lidón-Simon, M. Lindberg, C. Takahashi
MAX IV Laboratory, Lund University, Lund, Sweden

The traditional approach of step scanning in X-ray experiments is often inefficient and may increase the risk of sample radiation damage. In order to overcome these challenges, a new position-based continuous energy scanning system has been developed at MAX IV Laboratory. This system enables stable and repeatable measurements by continuously moving the motors during the scan. Triggers are generated in hardware based on the motor encoder positions to ensure precise data acquisition. Prior to the scan, a list of positions is generated, and triggers are produced as each position is reached. The system uses Tango and Sardana for control and a TriggerGate controller to calculate motor positions and configure the PandABox, which generates the triggers. The system is capable of scanning a single motor, such as a sample positioner, or a combined motion like a monochromator and undulator. In addition, the system can use the parametric trajectory mode of IcePAP driver, which enables continuous scans of coupled axes with non-linear paths. This paper presents the current status of the position-based continuous energy scanning system for BioMAX, FlexPES, and FinEst beamlines at MAX IV and discusses its potential to enhance the efficiency and accuracy of data acquisition at beamline endstations.

Poster TUPDP145 [1.943 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP145

About •

Received ※ 05 October 2023 — Revised ※ 23 October 2023 — Accepted ※ 29 November 2023 — Issued ※ 11 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)

THMBCMO09

DAQ System Based on Sardana and PandABox for Combined SAXS, Fluorescence and UV-Vis Spectroscopy Techniques at MAX IV CoSAXS Beamline

V. Da Silva, R. Appio, M. Eguiraun, F. Herranz-Trillo, A.F. Joubert, M. Leorato, Y.L. Li, M. Lindberg, C. Takahashi, A.E. Terry
MAX IV Laboratory, Lund University, Lund, Sweden
C. Dicko
Lund Institute of Technology (LTH), Lund University, Lund, Sweden
W.T. Kitka
S2Innovation, Kraków, Poland

CoSAXS is the Coherent and Small Angle X-ray Scattering (SAXS) beamline placed at the diffraction-limited 3 GeV storage ring at MAX IV Laboratory. This paper presents the data acquisition (DAQ) strategy for combined SAXS, Ultraviolet-visible (UV-Vis) and Fluorescence Spectroscopy techniques. In general terms, the beamline control system is based on TANGO and on top of it, Sardana provides an advanced scan framework. Sardana performs the experiment orchestration, configuring and preparing the X-ray detector and the Spectrometers for UV-Vis and Fluorescence. Hardware triggers are used to synchronize the DAQ for the different techniques running simultaneously. The implementation is done using PandABox, which generates pulse trains for the X-ray detector and spectrometers. PandABox integration into the system is done with a Sardana Trigger Gate Controller, used to configure the pulse trains parameters as well to orchestrate the hardware triggers during a scan. This paper describes the individual techniques’ integration into the control system, the experiment orchestration and synchronization and the new experiment possibilities this multi-technique DAQ system brings to MAX IV beamlines.

Slides THMBCMO09 [0.570 MB]

Poster THMBCMO09 [1.600 MB]

Cite •

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

THPDP054

Fast, Fully Automated Continuous Energy Scan at the Biomax Beamline at Max IV Laboratory

I. Gorgisyan, P.J. Bell, M. Cascella, M. Eguiraun, Á. Freitas, A. Gonzalez, J. Lidón-Simon, J. Nan, C. Takahashi, T. Ursby
MAX IV Laboratory, Lund University, Lund, Sweden

BioMAX is an X-ray macromolecular crystallography (MX) beamline* at MAX IV Laboratory that delivers an X-ray beam with a photon flux of up to 1e13 ph/s. The photon energy at the beamline can be easily adjusted between 6 keV and 24 keV. At MX beamlines Single- and Multi-wavelength Anomalous Dispersion (SAD and MAD) methods are used for experimental phasing to reconstruct the macromolecular structures. To be able to benefit from these techniques, it is imperative for an MX beamline to have a fast and automated energy scan routine. This contribution reports on the newly implemented continuous energy scan procedure at BioMAX. The scan routine performs a synchronous motion of the undulator and monochromator motors to continuously scan the energy while measuring the fluorescence from the sample as the energy changes. The data acquisition during the scan is triggered by the actual energy value which is monitored throughout the scan at 1 MHz rate. The energy scan routine is fully automated and minimizes the radiation damage on the sample during the measurements. The scan itself is as short as one second making the overall procedure a factor of five faster than a conventional step scan.
* Ursby T. et al. "BioMAX - the first macromolecular crystallography beamline at MAX IV Laboratory." Journal of Synchrotron Radiation 27, 1415 - 1729, (2020).

Poster THPDP054 [4.700 MB]

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)