ICALEPCS2023 - List of Keywords (alignment)

Paper	Title	Other Keywords	Page
MO2BCO05	Enabling Transformational Science Through Global Collaboration and Innovation Using the Scaled Agile Framework	framework, software, survey, feedback	47
	L.R. Brederode, S. Ujjainkar, S. Valame SKAO, Macclesfield, United Kingdom J. Coles University of Cambridge, Cambridge, United Kingdom F. Graser VIVO, Somerset West, South Africa J.A. Kolatkar PSL, Pune, India
	Funding: Square Kilometre Array Observatory The SKAO is one observatory, with two telescopes on three continents. It will be the world’s largest radio telescope once constructed, and will be able to observe the sky with unprecedented sensitivity and resolution. The SKAO software and computing systems will largely be responsible for orchestrating the observatory and associated telescopes, and processing the science data, before data products are distributed to regional science centres. The Scaled Agile Framework (SAFe) is being leveraged to coordinate over thirty lean agile development teams that are distributed throughout the world. In this paper, we report on our experience in using the Scaled Agile Framework, the successes we have enjoyed, as well as the impediments and challenges that have stood in our way.
	Slides MO2BCO05 [6.064 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO2BCO05
About •	Received ※ 06 October 2023 — Revised ※ 08 October 2023 — Accepted ※ 12 October 2023 — Issued ※ 15 October 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MO3AO05	Path to Ignition at National Ignition Facility (NIF): The Role of the Automated Alignment System	laser, target, controls, operation	138
	B.P. Patel, A.A.S. Awwal, M. Fedorov, R.R. Leach Jr., R.R. Lowe-Webb, V.J. Miller Kamm, P.K. Singh LLNL, Livermore, California, USA
	Funding: This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 The historical breakthrough experiment at the National Ignition Facility (NIF) produced fusion ignition in a laboratory for the first time and made headlines around the world. This achievement was the result of decades of research, thousands of people, and hardware and software systems that rivaled the complexity of anything built before. The NIF laser Automatic Alignment (AA) system has played a major role in this accomplishment. Each high yield shot in the NIF laser system requires all 192 laser beams to arrive at the target within 30 picoseconds and be aligned within 50 microns-half the diameter of human hair-all with the correct wavelength and energy. AA makes it possible to align and fire the 192 NIF laser beams efficiently and reliably several times a day. AA is built on multiple layers of complex calculations and algorithms that implement data and image analysis to position optical devices in the beam path in a highly accurate and repeatable manner through the controlled movement of about 66,000 control points. The system was designed to have minimum or no human intervention. This paper will describe AA’s evolution, its role in ignition, and future modernization. LLNL Release Number: LLNL-ABS-847783
	Slides MO3AO05 [10.417 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO05
About •	Received ※ 22 September 2023 — Revised ※ 07 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 05 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MO4AO05	Development of a Timing and Data Link for EIC Common Hardware Platform	network, timing, FPGA, site	228
	P. Bachek, T. Hayes, J. Mead, K. Mernick, G. Narayan, F. Severino BNL, Upton, New York, USA
	Funding: Contract Number DE-AC02-98CH10886 with the auspices of the US Department of Energy Modern timing distribution systems benefit from high configurability and the bidirectional transfer of timing data. The Electron Ion Collider (EIC) Common Hardware Platform (CHP) will integrate the functions of the existing RHIC Real Time Data Link (RTDL), Event Link, and Beam Sync Link, along with the Low-Level RF (LLRF) system Update Link (UL), into a common high speed serial link. One EIC CHP carrier board sup-ports up to eight external 8 Gbps high speed links via SFP+ modules, as well as up to six 8 Gbps high speed links to each of two daughterboards. A daughterboard will be designed for the purpose of timing data link distribution for use with the CHP. This daughterboard will have two high speed digital crosspoint switches and a Xilinx Artix Ultrascale⁺ FPGA onboard with GTY transceivers. One of these will be dedicated for a high-speed control and data link directly between the onboard FPGA and the carrier FPGA. The remaining GTY transceivers will be routed through the crosspoint switches. The daughterboard will support sixteen external SFP+ ports for timing distribution infrastructure with some ports dedicated for transmit only link fanout. The timing data link will support bidirectional data transfer including sending data or events from a downstream device back upstream. This flexibility will be achieved by routing the SFP+ ports through the crosspoint switches which allows the timing link datapaths to be forwarded directly through the daughterboard to the carrier and into the FPGA on the daughterboard in many different configurations.
	Slides MO4AO05 [1.236 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO4AO05
About •	Received ※ 05 October 2023 — Revised ※ 07 October 2023 — Accepted ※ 23 November 2023 — Issued ※ 07 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TU2BCO02	Protection Layers Design for the High Luminosity LHC Full Remote Alignment System	controls, software, operation, hardware	285
	B. Fernández Adiego, E. Blanco Viñuela, A. Germinario, H. Mainaud Durand, M. Sosin CERN, Meyrin, Switzerland
	The Full Remote Alignment System (FRAS) is a complex measurement, alignment and control system designed to remotely align components of the Large Hadron Collider (LHC) following its High Luminosity upgrade. The purpose of FRAS is to guarantee optimal alignment of the strong focusing magnets and associated components near the experimental interaction points, while at the same time limiting the radiation dose to which surveyors in the LHC tunnel are subjected. A failure in the FRAS control system, or an operator mistake, could provoke a non desired displacement of a component that could lead to damage of neighbouring equipment. Such an incident would incur a considerable repair cost both in terms of money and time. To mitigate this possibility, an exhaustive risk analysis of FRAS has been performed, with the design of protection layers according to the IEC 61511 standard proposed. This paper presents the different functional safety techniques applied to FRAS, reports on the current project status, and introduces the future activities to complete the safety life cycle.
	Slides TU2BCO02 [2.757 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TU2BCO02
About •	Received ※ 03 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 19 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP011	The Laser Megajoule Full Automated Sequences	controls, target, laser, GUI	504
	Y. Tranquille-Marques, J-P. Airiau, P. Baudon, I. Issury, A. Mugnier CEA, LE BARP cedex, France
	The LMJ, a 176-beam laser facility developed by the French Nuclear Science directorate CEA, is located at the CEA* CESTA site near Bordeaux. The LMJ facility is part of the French Simulation Program. It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. Since 2022, the LMJ facility aims at carrying out experiments with 12 bundles of 8 laser beams and 12 target diagnostics. In order to achieve daily shots including all the preparatory steps, the LMJ performs night activities from now on and the presence of technical operators is not required. These sequences work on vacuum windows inspection and beam alignment. They take into account all the prerequisites for their good performances and are scheduled automatically one after the other. They deal with material security and unexpected equipment alarms. They endeavour to required tasks success and give a detailed report of the night events to the shot director. This paper gives a presentation of the two sequences with solutions in order to answer the technical specifications and the last enhancements. LMJ: Laser MegaJoule *CEA: Commissariat à l’Energie Atomique et aux Energies Alternatives
	Poster TUPDP011 [0.771 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP011
About •	Received ※ 02 October 2023 — Revised ※ 08 October 2023 — Accepted ※ 29 November 2023 — Issued ※ 19 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP116	Machine Learning Based Sample Alignment at TOPAZ	controls, network, neutron, operation	851
	M.J. Henderson, J.P. Edelen, M.C. Kilpatrick, I.V. Pogorelov RadiaSoft LLC, Boulder, Colorado, USA S. Calder, B. Vacaliuc ORNL RAD, Oak Ridge, Tennessee, USA R.D. Gregory, G.S. Guyotte, C.M. Hoffmann, B.K. Krishna ORNL, Oak Ridge, Tennessee, USA
	Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Science under Award Number DE-SC0021555. Neutron scattering experiments are a critical tool for the exploration of molecular structure in compounds. The TOPAZ single crystal diffractometer at the Spallation Neutron Source studies these samples by illuminating samples with different energy neutron beams and recording the scattered neutrons. During the experiments the user will change temperature and sample position in order to illuminate different crystal faces and to study the sample in different environments. Maintaining alignment of the sample during this process is key to ensuring high quality data are collected. At present this process is performed manually by beamline scientists. RadiaSoft in collaboration with the beamline scientists and engineers at ORNL has developed a new machine learning based alignment software automating this process. We utilize a fully-connected convolutional neural network configured in a U-net architecture to identify the sample center of mass. We then move the sample using a custom python-based EPICS IOC interfaced with the motors. In this talk we provide an overview of our machine learning tools and show our initial results aligning samples at ORNL.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP116
About •	Received ※ 06 October 2023 — Accepted ※ 05 December 2023 — Issued ※ 11 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THMBCMO35	Piezo Motor Based Hardware Triggered Nano Focus Caustic Acquisition	controls, hardware, detector, software	1285
	L.B.C. Campoi, G.S.R. Costa, N. Lopes Archilha, G.B.Z.L. Moreno, L.E.P. Vecina LNLS, Campinas, Brazil
	The evaluation of the focus produced by a KB (Kirkpatrick-Baez) mirror system is a challenging endeavor. In MOGNO (Micro and nano tomography) beamline’s case at Sirius, the KB was designed to produce a focus of 150x150 nm2, requiring a setup to evaluate the mirrors’ alignment in a timely manner. The developed diagnostic system is comprised of a stack of three linear inertia drive piezo stages and a fluorescence detector, acquiring data via hardware-triggered mesh scans. In the piezo stack, the stages are mounted along the X (horizontal, perpendicular to the beam path), Z (along the beam path) and YZ beamline directions. Moreover, the fact that a stage is placed at an angle requires the use of a kinematic transformation when scaning the focus along the Y axis, while the X axis scan can be done with a pure motion. The mesh scan can be diveded in two parts: hardware triggered line scan acquisition along X or Y and software triggered steps along Z between scans. In this manner, the control is done via a collection of low-level controller macros and Python scripts, such that during the scans, the piezo controllers communicate with each other and the detector via digital pulses, orchestrated by the in-house TATU (Timing and Trigger Unit) software, reducing dead time between acquisition points. The proposed system proved to be reliable to acquire beam profiles, providing caustics in both horizontal and vertical directions. Currently, the acquired focus caustics indicate that the main source has a size of approximately 480x500 nm2. TATU: A Flexible FPGA-Based Trigger and Timer Unit Created on CompactRIO for the First Sirius Beamlines ISBN 978-3-95450-221-9 ISSN 2226-0358 URL https://jacow.org/icalepcs2021/papers/thpv021.pdf
	Slides THMBCMO35 [1.608 MB]
	Poster THMBCMO35 [1.666 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THMBCMO35
About •	Received ※ 06 October 2023 — Revised ※ 25 October 2023 — Accepted ※ 13 December 2023 — Issued ※ 20 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MO2BCO05

Enabling Transformational Science Through Global Collaboration and Innovation Using the Scaled Agile Framework

framework, software, survey, feedback

47

L.R. Brederode, S. Ujjainkar, S. Valame
SKAO, Macclesfield, United Kingdom
J. Coles
University of Cambridge, Cambridge, United Kingdom
F. Graser
VIVO, Somerset West, South Africa
J.A. Kolatkar
PSL, Pune, India

Funding: Square Kilometre Array Observatory
The SKAO is one observatory, with two telescopes on three continents. It will be the world’s largest radio telescope once constructed, and will be able to observe the sky with unprecedented sensitivity and resolution. The SKAO software and computing systems will largely be responsible for orchestrating the observatory and associated telescopes, and processing the science data, before data products are distributed to regional science centres. The Scaled Agile Framework (SAFe) is being leveraged to coordinate over thirty lean agile development teams that are distributed throughout the world. In this paper, we report on our experience in using the Scaled Agile Framework, the successes we have enjoyed, as well as the impediments and challenges that have stood in our way.

Slides MO2BCO05 [6.064 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO2BCO05

About •

Received ※ 06 October 2023 — Revised ※ 08 October 2023 — Accepted ※ 12 October 2023 — Issued ※ 15 October 2023

Cite •

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

MO3AO05

Path to Ignition at National Ignition Facility (NIF): The Role of the Automated Alignment System

laser, target, controls, operation

138

B.P. Patel, A.A.S. Awwal, M. Fedorov, R.R. Leach Jr., R.R. Lowe-Webb, V.J. Miller Kamm, P.K. Singh
LLNL, Livermore, California, USA

Funding: This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344
The historical breakthrough experiment at the National Ignition Facility (NIF) produced fusion ignition in a laboratory for the first time and made headlines around the world. This achievement was the result of decades of research, thousands of people, and hardware and software systems that rivaled the complexity of anything built before. The NIF laser Automatic Alignment (AA) system has played a major role in this accomplishment. Each high yield shot in the NIF laser system requires all 192 laser beams to arrive at the target within 30 picoseconds and be aligned within 50 microns-half the diameter of human hair-all with the correct wavelength and energy. AA makes it possible to align and fire the 192 NIF laser beams efficiently and reliably several times a day. AA is built on multiple layers of complex calculations and algorithms that implement data and image analysis to position optical devices in the beam path in a highly accurate and repeatable manner through the controlled movement of about 66,000 control points. The system was designed to have minimum or no human intervention. This paper will describe AA’s evolution, its role in ignition, and future modernization.
LLNL Release Number: LLNL-ABS-847783

Slides MO3AO05 [10.417 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO05

About •

Received ※ 22 September 2023 — Revised ※ 07 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 05 December 2023

Cite •

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

MO4AO05

Development of a Timing and Data Link for EIC Common Hardware Platform

network, timing, FPGA, site

228

P. Bachek, T. Hayes, J. Mead, K. Mernick, G. Narayan, F. Severino
BNL, Upton, New York, USA

Funding: Contract Number DE-AC02-98CH10886 with the auspices of the US Department of Energy
Modern timing distribution systems benefit from high configurability and the bidirectional transfer of timing data. The Electron Ion Collider (EIC) Common Hardware Platform (CHP) will integrate the functions of the existing RHIC Real Time Data Link (RTDL), Event Link, and Beam Sync Link, along with the Low-Level RF (LLRF) system Update Link (UL), into a common high speed serial link. One EIC CHP carrier board sup-ports up to eight external 8 Gbps high speed links via SFP+ modules, as well as up to six 8 Gbps high speed links to each of two daughterboards. A daughterboard will be designed for the purpose of timing data link distribution for use with the CHP. This daughterboard will have two high speed digital crosspoint switches and a Xilinx Artix Ultrascale⁺ FPGA onboard with GTY transceivers. One of these will be dedicated for a high-speed control and data link directly between the onboard FPGA and the carrier FPGA. The remaining GTY transceivers will be routed through the crosspoint switches. The daughterboard will support sixteen external SFP+ ports for timing distribution infrastructure with some ports dedicated for transmit only link fanout. The timing data link will support bidirectional data transfer including sending data or events from a downstream device back upstream. This flexibility will be achieved by routing the SFP+ ports through the crosspoint switches which allows the timing link datapaths to be forwarded directly through the daughterboard to the carrier and into the FPGA on the daughterboard in many different configurations.

Slides MO4AO05 [1.236 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO4AO05

About •

Received ※ 05 October 2023 — Revised ※ 07 October 2023 — Accepted ※ 23 November 2023 — Issued ※ 07 December 2023

Cite •

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

TU2BCO02

Protection Layers Design for the High Luminosity LHC Full Remote Alignment System

controls, software, operation, hardware

285

B. Fernández Adiego, E. Blanco Viñuela, A. Germinario, H. Mainaud Durand, M. Sosin
CERN, Meyrin, Switzerland

The Full Remote Alignment System (FRAS) is a complex measurement, alignment and control system designed to remotely align components of the Large Hadron Collider (LHC) following its High Luminosity upgrade. The purpose of FRAS is to guarantee optimal alignment of the strong focusing magnets and associated components near the experimental interaction points, while at the same time limiting the radiation dose to which surveyors in the LHC tunnel are subjected. A failure in the FRAS control system, or an operator mistake, could provoke a non desired displacement of a component that could lead to damage of neighbouring equipment. Such an incident would incur a considerable repair cost both in terms of money and time. To mitigate this possibility, an exhaustive risk analysis of FRAS has been performed, with the design of protection layers according to the IEC 61511 standard proposed. This paper presents the different functional safety techniques applied to FRAS, reports on the current project status, and introduces the future activities to complete the safety life cycle.

Slides TU2BCO02 [2.757 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TU2BCO02

About •

Received ※ 03 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 19 December 2023

Cite •

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

TUPDP011

The Laser Megajoule Full Automated Sequences

controls, target, laser, GUI

504

Y. Tranquille-Marques, J-P. Airiau, P. Baudon, I. Issury, A. Mugnier
CEA, LE BARP cedex, France

The LMJ*, a 176-beam laser facility developed by the French Nuclear Science directorate CEA, is located at the CEA** CESTA site near Bordeaux. The LMJ facility is part of the French Simulation Program. It is designed to deliver about 1.4 MJ of energy on targets, for high energy density physics experiments, including fusion experiments. Since 2022, the LMJ facility aims at carrying out experiments with 12 bundles of 8 laser beams and 12 target diagnostics. In order to achieve daily shots including all the preparatory steps, the LMJ performs night activities from now on and the presence of technical operators is not required. These sequences work on vacuum windows inspection and beam alignment. They take into account all the prerequisites for their good performances and are scheduled automatically one after the other. They deal with material security and unexpected equipment alarms. They endeavour to required tasks success and give a detailed report of the night events to the shot director. This paper gives a presentation of the two sequences with solutions in order to answer the technical specifications and the last enhancements.
*LMJ: Laser MegaJoule
**CEA: Commissariat à l’Energie Atomique et aux Energies Alternatives

Poster TUPDP011 [0.771 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP011

About •

Received ※ 02 October 2023 — Revised ※ 08 October 2023 — Accepted ※ 29 November 2023 — Issued ※ 19 December 2023

Cite •

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

TUPDP116

Machine Learning Based Sample Alignment at TOPAZ

controls, network, neutron, operation

851

M.J. Henderson, J.P. Edelen, M.C. Kilpatrick, I.V. Pogorelov
RadiaSoft LLC, Boulder, Colorado, USA
S. Calder, B. Vacaliuc
ORNL RAD, Oak Ridge, Tennessee, USA
R.D. Gregory, G.S. Guyotte, C.M. Hoffmann, B.K. Krishna
ORNL, Oak Ridge, Tennessee, USA

Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Science under Award Number DE-SC0021555.
Neutron scattering experiments are a critical tool for the exploration of molecular structure in compounds. The TOPAZ single crystal diffractometer at the Spallation Neutron Source studies these samples by illuminating samples with different energy neutron beams and recording the scattered neutrons. During the experiments the user will change temperature and sample position in order to illuminate different crystal faces and to study the sample in different environments. Maintaining alignment of the sample during this process is key to ensuring high quality data are collected. At present this process is performed manually by beamline scientists. RadiaSoft in collaboration with the beamline scientists and engineers at ORNL has developed a new machine learning based alignment software automating this process. We utilize a fully-connected convolutional neural network configured in a U-net architecture to identify the sample center of mass. We then move the sample using a custom python-based EPICS IOC interfaced with the motors. In this talk we provide an overview of our machine learning tools and show our initial results aligning samples at ORNL.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP116

About •

Received ※ 06 October 2023 — Accepted ※ 05 December 2023 — Issued ※ 11 December 2023

Cite •

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

THMBCMO35

Piezo Motor Based Hardware Triggered Nano Focus Caustic Acquisition

controls, hardware, detector, software

1285

L.B.C. Campoi, G.S.R. Costa, N. Lopes Archilha, G.B.Z.L. Moreno, L.E.P. Vecina
LNLS, Campinas, Brazil

The evaluation of the focus produced by a KB (Kirkpatrick-Baez) mirror system is a challenging endeavor. In MOGNO (Micro and nano tomography) beamline’s case at Sirius, the KB was designed to produce a focus of 150x150 nm2, requiring a setup to evaluate the mirrors’ alignment in a timely manner. The developed diagnostic system is comprised of a stack of three linear inertia drive piezo stages and a fluorescence detector, acquiring data via hardware-triggered mesh scans. In the piezo stack, the stages are mounted along the X (horizontal, perpendicular to the beam path), Z (along the beam path) and YZ beamline directions. Moreover, the fact that a stage is placed at an angle requires the use of a kinematic transformation when scaning the focus along the Y axis, while the X axis scan can be done with a pure motion. The mesh scan can be diveded in two parts: hardware triggered line scan acquisition along X or Y and software triggered steps along Z between scans. In this manner, the control is done via a collection of low-level controller macros and Python scripts, such that during the scans, the piezo controllers communicate with each other and the detector via digital pulses, orchestrated by the in-house TATU (Timing and Trigger Unit) software*, reducing dead time between acquisition points. The proposed system proved to be reliable to acquire beam profiles, providing caustics in both horizontal and vertical directions. Currently, the acquired focus caustics indicate that the main source has a size of approximately 480x500 nm2.
* TATU: A Flexible FPGA-Based Trigger and Timer Unit Created on CompactRIO for the First Sirius Beamlines ISBN 978-3-95450-221-9 ISSN 2226-0358 URL https://jacow.org/icalepcs2021/papers/thpv021.pdf

Slides THMBCMO35 [1.608 MB]

Poster THMBCMO35 [1.666 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THMBCMO35

About •

Received ※ 06 October 2023 — Revised ※ 25 October 2023 — Accepted ※ 13 December 2023 — Issued ※ 20 December 2023

Cite •

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