IPAC2019 - List of Keywords (network)

Paper	Title	Other Keywords	Page
TUZPLM1	Adding Data Science and More Intelligence to Our Accelerator Toolbox	controls, electron, laser, simulation	1191
	S. Biedron University of New Mexico, Albuquerque, USA S. Biedron Element Aero, Chicago, USA
	Requirements for recent accelerators are becoming more and more stringent and sophisticated machine tuning is necessary. A large amount of data is acquired from accelerator components as an assistant of machine tuning. It is hard for operators to utilize all the accelerator data for machine tuning. Therefore, machine learning, data mining and big data handling are recently applied to accelerators. For instance, Bayesian optimization is used for maximizing a target performance, a clustering algorithm is used for anomaly detection, and hidden correlation finding is utilized for discovering new aspects of a machine. This talk reviews recent progress of machine learning applications and big data handling in accelerators.
	Slides TUZPLM1 [11.978 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-TUZPLM1
About •	paper received ※ 20 May 2019 paper accepted ※ 16 June 2019 issue date ※ 21 June 2019
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TUPMP024	Research on Module Design and Network Management of Accelerator Power Supply System	power-supply, controls, interface, operation	1291
	Y. Li, S.Y. Chen, C. Han, P. Liu IHEP, Beijing, People’s Republic of China
	Accelerator power supply system is a very special system. Many factors such as high number of power supplies, uninterrupted operation and unreasonable design lead to high failure rate, long maintenance time and the discovery of the fault is not timely, which bring a lot of unnecessary troubles to the operator. In this paper, a networked control method for accelerator power supply is studied, and the power supply parallel connection technology is used to maximize the trouble-free time of the power supply and increase the redundancy performance of the power supply. With independent networked control, the accelerator power supply system becomes a whole, no longer relying solely on the control of the accelerator control system, but in a network system with self-diagnosis and self-healing. Through the monitoring and management of the upper computer, the power supply system will be work stable, and the function of remote operation and remote repair of the power supply is realized finally. This is a research direction for the operation of large accelerator power supply systems in the future.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-TUPMP024
About •	paper received ※ 14 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019
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WEPGW049	Deep Learning Applied for Multi-Slit Imaging Based Beam Size Monitor	simulation, SRF, synchrotron, synchrotron-radiation	2587
	B. Gao, Y.B. Leng SSRF, Shanghai, People’s Republic of China X.Y. Xu SINAP, Shanghai, People’s Republic of China
	In order to satisfy the requirement of high speed measurement and improve the accuracy of BSM (beam size monitor), multi-slit imaging based BSM has been proposed by SSRF at 2017. However, it is very difficult to deconvolve the image and figure out the beam size, which requires dedicated algorithms to solve this issue. Deep learning is one of the most popular algorithms, which can learn to mimic any distribution of data. In the region of Beam instrumentation, they can be taught to deal with many difficult problem. In this paper, multi-layer neural network is used to process the images from the multi-slit imaging system. Training processes, struct of the neural networks and the result of the experiments will be presented.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW049
About •	paper received ※ 15 May 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019
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WEPGW064	Machine Learning Application in Bunch Longitudinal Phase Measurement	synchrotron, damping, SRF, injection	2625
	X.Y. Xu, Y.M. Zhou SINAP, Shanghai, People’s Republic of China Y.B. Leng SSRF, Shanghai, People’s Republic of China
	High resolution bunch-by-bunch longitudinal phase measurement has been realized at Shanghai Synchrotron Radiation Facility (SSRF). In order to fully exploit the potency of the bunch phase monitor, the transient state during injection is being further studied. A longitudinal phase fitting method was used to study the synchrotron damping oscillation in injection events, where we can get the energy offsets between the injector and the storage ring, refilled bunch arrived time and the synchrotron damping time. However, manual multi-parameter fitting of nonlinear functions is awfully complex and slow. Machine learning algorithms, such as gradient descent and artificial neural network (ANN) is more suitable to do this fitting. Through these methods, we can quickly obtain more accurate fitting parameters and further realize online measurement of the refilled charge arrived time, energy offsets between the injector and storage ring, and the synchrotron damping time.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW064
About •	paper received ※ 13 May 2019 paper accepted ※ 20 May 2019 issue date ※ 21 June 2019
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WEPRB001	The Effect of the SLED Installation on Extracted and Lost Beam at the Australian Synchrotron Linac.	linac, synchrotron, klystron, injection	2794
	P.J. Giansiracusa, T.G. Lucas, R.P. Rassool, M. Volpi The University of Melbourne, Melbourne, Victoria, Australia M.J. Boland University of Saskatchewan, Saskatoon, Canada M.J. Boland CLS, Saskatoon, Saskatchewan, Canada M.P. Lafky AS - ANSTO, Clayton, Australia
	A recent upgrade to the high power RF network of the linac at the Australian Synchrotron included a SLED Type 1 Pulse Compressor allowing for the operation of its 100 MeV linac using a single klystron. We explore the effects of the SLED installation on the properties of the beam extracted from the linac with a particular focus on the energy spread and bunch train profile. Additionally, the optical fibre beam loss monitor (oBLM), also recently commissioned, was employed to provide shot-by-shot feedback on loss location and intensity to investigate the change in beam losses.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPRB001
About •	paper received ※ 15 May 2019 paper accepted ※ 20 May 2019 issue date ※ 21 June 2019
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WEPRB115	Development of RF Interlock and Diagnostics Systems in SOLARIS Storage Ring	cavity, storage-ring, synchrotron, betatron	3082
	M.A. Knafel, M. Madura Solaris National Synchrotron Radiation Centre, Jagiellonian University, Kraków, Poland A.I. Wawrzyniak SOLARIS, Kraków, Poland
	The purpose of this document is to describe and asses the operation of various devices that have been developed, constructed and tested by RF team in NSRC SOLARIS . One of those devices is used as additional safety interlock for the tuning mechanism of main 100MHz active cavities. The other is a stripline feeding network, that in cooperation with BPM receiving network will excite the beam providing the diagnostics group with a new option for tune measurement. Each device shall have its principle of operation explained and construction details revealed. Finally, all devices will be assesed over their operational lifetime in our facility.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPRB115
About •	paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019
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WEPTS006	Modelization of an Injector With Machine Learning	rfq, LEBT, solenoid, proton	3096
	M. Debongnie, M.A. Baylac, F. Bouly LPSC, Grenoble Cedex, France N. Chauvin, D. Uriot CEA-IRFU, Gif-sur-Yvette, France A. Gatera SCK•CEN, Mol, Belgium T. Junquera Accelerators and Cryogenic Systems, Orsay, France
	Modern particle accelerator projects, such as MYRRHA, have very high stability and/or reliability requirements. To meet those, it is necessary to optimize or develop new methods for the control systems. One of the difficulties lies in the relatively long computation time of current beam dynamics codes. In this context, the very low computation time of neural network is of great attraction. However, a neural network has to be trained in order to be of any use. The training of a beam dynamic predictor uses a large dataset (experimental or simulated) that represents the dynamics over the parameter space of interest. Therefore, choosing the right training dataset is crucial for the quality of the neural network predictions. In this work, a study on the sampling choice for the training data is performed to train a neural network to predict the transmission of a beam through a low energy beam transport line and a Radiofrequency Quadrupole. We show and discuss the results obtained on training data set to model the IPHI and MYRRHA injectors. https://myrrha.be/
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPTS006
About •	paper received ※ 15 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019
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THPRB042	Stability Research Progress on High-power Pulse Modulator for SXFEL-UF	controls, feedback, FEL, FPGA	3904
	Q. Yuan, M. Gu, Y.F. Liu, J. Tong, Y. Wu SINAP, Shanghai, People’s Republic of China
	Funding: Supported by the National Natural Science Foundation of China(11675250) Abstract: SXFEL-UF(Shanghai Soft X-ray Free Electron Laser User Facility) under construction presently demands higher energy stability. Stability of pulse modulator feeding power for klystron plays an utmost important role in energy stability and occupy dominant factors in bringing influences in stability of RF power. Presently, stability of high-power pulse modulator of LINAC (Linear Accelerator) is on the level of 0.1% to 0.05% usually. In order to meet the higher stability requirements, it is very necessary for close-loop feedback control techniques instead of traditional open-loop to be applied in the modulator design. The stability controller adopts double control-loops techniques which feedback signals are respectively from PFN(Pulse Forming Network) and pulse transformer in oil tank. In addition, the paper also introduces recent progress on high stability CCPS research(Capacitor Charging Power Supply), which brings direct impact on the stability of modulator. In comparison with the former close-loop design, high stability CCPS design takes the overall modulator stability into full consideration. And the feedback control algorithm utilized to adjust PWMs for full bridge switch is implemented in the CCPS controller directly rather than modulator controller independent of CCPS. It is expected to obtain 0.01% stability by taking the above measures.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB042
About •	paper received ※ 06 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019
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THPRB077	Optics Corrections Using Machine Learning in the LHC	optics, quadrupole, simulation, controls	3990
	E. Fol, J.M. Coello de Portugal, R. Tomás CERN, Meyrin, Switzerland G. Franchetti GSI, Darmstadt, Germany
	Optics corrections in the LHC are based on a response matrix approach between available correctors and observables. Supervised learning has been applied to quadrupole error prediction at the LHC giving promising results in simulations and surpassing the performance of the traditional approach. A comparison of different algorithms is given and it is followed by the presentation of further possible concepts to obtain optics corrections using machine learning.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB077
About •	paper received ※ 14 May 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019
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THPRB093	RF Data Acquisition and Soft Alarm System for the Taiwan Photon Source	SRF, EPICS, status, data-acquisition	4039
	Z.K. Liu, F.Y. Chang, L.-H. Chang, M.H. Chang, S.W. Chang, L.J. Chen, F.-T. Chung, Y.T. Li, M.-C. Lin, C.H. Lo, Ch. Wang, M.-S. Yeh, T.-C. Yu NSRRC, Hsinchu, Taiwan
	The Taiwan Photon Source (TPS) is a modern, high brightness 3 GeV light source. A data acquisition pro-gram for the radio frequency (RF) system, including a transient data recorder, a long term data archiver and real time data monitoring, has been developed for the analysis of RF trips and RF system debugging. A soft alarm system is implemented as well utilizing EPICS and python packages. The hardware architecture and the functionality of the RF data acquisition and soft alarm system will be discussed in this article.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB093
About •	paper received ※ 09 April 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019
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THPTS002	Sirius Pre-alignment Results	alignment, booster, storage-ring, laser	4106
	R. Junqueira Leão, H. Geraissate Paranhos de Oliveira, F. Rodrigues, G.R. Rovigatti de Oliveira, U.R. Sposito LNLS, Campinas, Brazil
	Sirius is a 4th generation synchrotron light source under final installation and beginning of commissioning phase in Brazil, with a bare emittance of 250 picometer rad. In order to fulfil stability requirements (magnets displacement caused by vibration of 6 nm) imposed to achieve expected performance, the mechanical assembly of supporting structures and magnets were designed without adjustment mechanisms. Yet, the misalignment errors of the magnets are the dominating source of dynamical aperture reduction, leading to a maximum permissible deviation of 40 micrometers between adjacent magnets. To this end, dimensional engineering was applied to conceive an alignment concept for magnets on a same girder based solely on the geometric characteristics of the parts. For the large volume positioning of girders in the storage ring tunnel, the applied methodology followed a strategy optimized to reduce measurement uncertainty, as described in the literature. This paper will present the complete measurement process that led to the alignment of Sirius, from the deployment and survey of reference networks to the final alignment of the machine. To express a consistent and unequivocal alignment result and assess the alignment quality considering the measurement uncertainty, an innovative metric described previously was employed. This work will show that the positioning of supports satisfies the requirement of 80 micrometer between girders. Also, the devices and mechanisms used for assembling will be detailed. Inspection of full girder set performed on a Coordinate measuring machine shows a maximum deviation of 30 micrometers for any pair of magnets on a common support.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS002
About •	paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019
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THPTS039	DESIGN OF A COMPACT VARIABLE X-BAND RF POWER SPLITTER	GUI, impedance, klystron, electron	4194
	F. Liu, H.B. Chen, J.Y. Liu, Z.N. Liu, J. Shi, H. Zha TUB, Beijing, People’s Republic of China
	This paper presents a design of a compact variable X-band RF power splitter. The RF power splitter includes one input port and two output ports, and the power divi-sion ratio can be adjusted by changing the position of a short circuit piston. This system keeps a good match (less than -40 dB) at any power division ratio. An E-bend waveguide structure is selected to make the geometry more compact (11cm in length, 3.5cm in width and 5 cm in height). Special studies was conducted to sustain a low surface electrical field (maximum 65 MV/m at 100 MW input), and large bandwidth (250MHz). This power split-ter is designed for high-power test stand at Tsinghua Uni-versity.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS039
About •	paper received ※ 14 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019
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THPTS059	Development of a 1.5 GHz, 1 KW Solid State Power Amplifier for 3rd Harmonic System of the Alba Storage Ring	cavity, storage-ring, ISOL, operation	4240
	Z. Hazami, F. Pérez, A. Salom, P. Solans ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
	ALBA is the Spanish third generation synchrotron light source, located near Barcelona, in operation since 2012. In order to improve the operation, a third harmonic system has been designed for the Storage Ring in order to stretch the bunch length, and so, improve the beam life time and increase the stability current thresholds. The design of the system consist of four Higher Order Mode (HOM) damped normal conductive active cavities at 1.5 GHz, feed with 20 kW of RF power each cavity, in order to provide the voltage of 1 MV to the electron beam. The 20 kW RF power transmitter system is based on 250 W solid state power amplifier modules added in parallel by a tree combination technique. The selected combination tree divides the 20 kW overall power per cavity in twenty 1 kW crates. This paper presents the designs of the 250 W power amplifier modules, of the splitter and of the combiner, as well as the measurement results of a 1 kW prototype crate. HOM Damped Normal Conducting 1.5 GHz Cavity for the 3rd Harmonic System of the ALBA Storage Ring. IPAC 2019 proceedings
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS059
About •	paper received ※ 14 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019
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THPTS070	Diagnostic Tool For CompactPCI Crates	EPICS, controls, status, diagnostics	4275
	H.Z. Chen, C.H. Chen, Y.-S. Cheng, K.T. Hsu, K.H. Hu, C.Y. Liao, C.Y. Wu NSRRC, Hsinchu, Taiwan
	On the control system hardware platform for the Taiwan Photon Source (TPS) more than half use CompactPCI crates. If a crate malfunctions, the internal crate card will not operate properly affecting accelerator operation. If the crate, however, could provide instant remote operational information, an opportunity exists to maintain or replace it in advance. Therefore, a diagnostic tool was developed to analyse and diagnose the condition of the crates. When abnormal operations occur, an alarm can be issued for early inspection and maintenance. This way it is possible to prevent the EPICS IOC from crashing by CompactPCI crates, which improves the reliability of accelerator operation. A detailed system architecture, implementation and progress will be discussed in this report.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS070
About •	paper received ※ 14 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019
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THPTS095	High Efficiency High Power Resonant Cavity Amplifier For PIP-II	cavity, coupling, impedance, operation	4335
	M.P.J. Gaudreau, D.B. Cope, E.G. Johnson, M.K. Kempkes, R.E. Simpson, N.A. Stuart Diversified Technologies, Inc., Bedford, Massachusetts, USA
	Funding: Work funded under US DOE Grant No. DE-SC0015780 Diversified Technologies, Inc. (DTI) is developing an integrated resonant-cavity combined solid-state amplifier for the Proton Improvement Plan-II (PIP-II) at Fermilab. The prototype has demonstrated multiple-transistor combining at 70% efficiency, at 675 watts per transistor at 650 MHz. The patent pending design simplifies solid-state transmitters to create straightforward scaling to 200 kW and higher high power levels. A crucial innovation is the reliable "soft-failure" mode of operation; a failure in one or more of the transistors has negligible performance impact. This design couples the transistor drains directly to the cavity without first transforming to 50 Ohms, avoiding the circulators, cables, and connectors that would normally be required. Under an ongoing SBIR grant from the US Department of Energy, DTI designed the system to accommodate over 96 transistors in each 50 kW cavity, with minimal RF, DC, and cooling connections. By the end of the SBIR, DTI will build and demonstrate a complete 100 kW-class (~200 kW) transmitter by combining four cavity modules to show the expandability of the design to very high power levels, comparable to large VEDs.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS095
About •	paper received ※ 19 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019
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Paper

Title

Other Keywords

Page

TUZPLM1

Adding Data Science and More Intelligence to Our Accelerator Toolbox

controls, electron, laser, simulation

1191

S. Biedron
University of New Mexico, Albuquerque, USA
S. Biedron
Element Aero, Chicago, USA

Requirements for recent accelerators are becoming more and more stringent and sophisticated machine tuning is necessary. A large amount of data is acquired from accelerator components as an assistant of machine tuning. It is hard for operators to utilize all the accelerator data for machine tuning. Therefore, machine learning, data mining and big data handling are recently applied to accelerators. For instance, Bayesian optimization is used for maximizing a target performance, a clustering algorithm is used for anomaly detection, and hidden correlation finding is utilized for discovering new aspects of a machine. This talk reviews recent progress of machine learning applications and big data handling in accelerators.

Slides TUZPLM1 [11.978 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-TUZPLM1

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paper received ※ 20 May 2019 paper accepted ※ 16 June 2019 issue date ※ 21 June 2019

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TUPMP024

Research on Module Design and Network Management of Accelerator Power Supply System

power-supply, controls, interface, operation

1291

Y. Li, S.Y. Chen, C. Han, P. Liu
IHEP, Beijing, People’s Republic of China

Accelerator power supply system is a very special system. Many factors such as high number of power supplies, uninterrupted operation and unreasonable design lead to high failure rate, long maintenance time and the discovery of the fault is not timely, which bring a lot of unnecessary troubles to the operator. In this paper, a networked control method for accelerator power supply is studied, and the power supply parallel connection technology is used to maximize the trouble-free time of the power supply and increase the redundancy performance of the power supply. With independent networked control, the accelerator power supply system becomes a whole, no longer relying solely on the control of the accelerator control system, but in a network system with self-diagnosis and self-healing. Through the monitoring and management of the upper computer, the power supply system will be work stable, and the function of remote operation and remote repair of the power supply is realized finally. This is a research direction for the operation of large accelerator power supply systems in the future.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-TUPMP024

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paper received ※ 14 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019

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WEPGW049

Deep Learning Applied for Multi-Slit Imaging Based Beam Size Monitor

simulation, SRF, synchrotron, synchrotron-radiation

2587

B. Gao, Y.B. Leng
SSRF, Shanghai, People’s Republic of China
X.Y. Xu
SINAP, Shanghai, People’s Republic of China

In order to satisfy the requirement of high speed measurement and improve the accuracy of BSM (beam size monitor), multi-slit imaging based BSM has been proposed by SSRF at 2017. However, it is very difficult to deconvolve the image and figure out the beam size, which requires dedicated algorithms to solve this issue. Deep learning is one of the most popular algorithms, which can learn to mimic any distribution of data. In the region of Beam instrumentation, they can be taught to deal with many difficult problem. In this paper, multi-layer neural network is used to process the images from the multi-slit imaging system. Training processes, struct of the neural networks and the result of the experiments will be presented.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW049

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paper received ※ 15 May 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019

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WEPGW064

Machine Learning Application in Bunch Longitudinal Phase Measurement

synchrotron, damping, SRF, injection

2625

X.Y. Xu, Y.M. Zhou
SINAP, Shanghai, People’s Republic of China
Y.B. Leng
SSRF, Shanghai, People’s Republic of China

High resolution bunch-by-bunch longitudinal phase measurement has been realized at Shanghai Synchrotron Radiation Facility (SSRF). In order to fully exploit the potency of the bunch phase monitor, the transient state during injection is being further studied. A longitudinal phase fitting method was used to study the synchrotron damping oscillation in injection events, where we can get the energy offsets between the injector and the storage ring, refilled bunch arrived time and the synchrotron damping time. However, manual multi-parameter fitting of nonlinear functions is awfully complex and slow. Machine learning algorithms, such as gradient descent and artificial neural network (ANN) is more suitable to do this fitting. Through these methods, we can quickly obtain more accurate fitting parameters and further realize online measurement of the refilled charge arrived time, energy offsets between the injector and storage ring, and the synchrotron damping time.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW064

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paper received ※ 13 May 2019 paper accepted ※ 20 May 2019 issue date ※ 21 June 2019

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WEPRB001

The Effect of the SLED Installation on Extracted and Lost Beam at the Australian Synchrotron Linac.

linac, synchrotron, klystron, injection

2794

P.J. Giansiracusa, T.G. Lucas, R.P. Rassool, M. Volpi
The University of Melbourne, Melbourne, Victoria, Australia
M.J. Boland
University of Saskatchewan, Saskatoon, Canada
M.J. Boland
CLS, Saskatoon, Saskatchewan, Canada
M.P. Lafky
AS - ANSTO, Clayton, Australia

A recent upgrade to the high power RF network of the linac at the Australian Synchrotron included a SLED Type 1 Pulse Compressor allowing for the operation of its 100 MeV linac using a single klystron. We explore the effects of the SLED installation on the properties of the beam extracted from the linac with a particular focus on the energy spread and bunch train profile. Additionally, the optical fibre beam loss monitor (oBLM), also recently commissioned, was employed to provide shot-by-shot feedback on loss location and intensity to investigate the change in beam losses.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPRB001

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paper received ※ 15 May 2019 paper accepted ※ 20 May 2019 issue date ※ 21 June 2019

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WEPRB115

Development of RF Interlock and Diagnostics Systems in SOLARIS Storage Ring

cavity, storage-ring, synchrotron, betatron

3082

M.A. Knafel, M. Madura
Solaris National Synchrotron Radiation Centre, Jagiellonian University, Kraków, Poland
A.I. Wawrzyniak
SOLARIS, Kraków, Poland

The purpose of this document is to describe and asses the operation of various devices that have been developed, constructed and tested by RF team in NSRC SOLARIS . One of those devices is used as additional safety interlock for the tuning mechanism of main 100MHz active cavities. The other is a stripline feeding network, that in cooperation with BPM receiving network will excite the beam providing the diagnostics group with a new option for tune measurement. Each device shall have its principle of operation explained and construction details revealed. Finally, all devices will be assesed over their operational lifetime in our facility.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPRB115

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paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019

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WEPTS006

Modelization of an Injector With Machine Learning

rfq, LEBT, solenoid, proton

3096

M. Debongnie, M.A. Baylac, F. Bouly
LPSC, Grenoble Cedex, France
N. Chauvin, D. Uriot
CEA-IRFU, Gif-sur-Yvette, France
A. Gatera
SCK•CEN, Mol, Belgium
T. Junquera
Accelerators and Cryogenic Systems, Orsay, France

Modern particle accelerator projects, such as MYRRHA, have very high stability and/or reliability requirements. To meet those, it is necessary to optimize or develop new methods for the control systems. One of the difficulties lies in the relatively long computation time of current beam dynamics codes. In this context, the very low computation time of neural network is of great attraction. However, a neural network has to be trained in order to be of any use. The training of a beam dynamic predictor uses a large dataset (experimental or simulated) that represents the dynamics over the parameter space of interest. Therefore, choosing the right training dataset is crucial for the quality of the neural network predictions. In this work, a study on the sampling choice for the training data is performed to train a neural network to predict the transmission of a beam through a low energy beam transport line and a Radiofrequency Quadrupole. We show and discuss the results obtained on training data set to model the IPHI and MYRRHA injectors.
https://myrrha.be/

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPTS006

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paper received ※ 15 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019

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THPRB042

Stability Research Progress on High-power Pulse Modulator for SXFEL-UF

controls, feedback, FEL, FPGA

3904

Q. Yuan, M. Gu, Y.F. Liu, J. Tong, Y. Wu
SINAP, Shanghai, People’s Republic of China

Funding: Supported by the National Natural Science Foundation of China(11675250)
Abstract: SXFEL-UF(Shanghai Soft X-ray Free Electron Laser User Facility) under construction presently demands higher energy stability. Stability of pulse modulator feeding power for klystron plays an utmost important role in energy stability and occupy dominant factors in bringing influences in stability of RF power. Presently, stability of high-power pulse modulator of LINAC (Linear Accelerator) is on the level of 0.1% to 0.05% usually. In order to meet the higher stability requirements, it is very necessary for close-loop feedback control techniques instead of traditional open-loop to be applied in the modulator design. The stability controller adopts double control-loops techniques which feedback signals are respectively from PFN(Pulse Forming Network) and pulse transformer in oil tank. In addition, the paper also introduces recent progress on high stability CCPS research(Capacitor Charging Power Supply), which brings direct impact on the stability of modulator. In comparison with the former close-loop design, high stability CCPS design takes the overall modulator stability into full consideration. And the feedback control algorithm utilized to adjust PWMs for full bridge switch is implemented in the CCPS controller directly rather than modulator controller independent of CCPS. It is expected to obtain 0.01% stability by taking the above measures.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB042

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paper received ※ 06 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019

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THPRB077

Optics Corrections Using Machine Learning in the LHC

optics, quadrupole, simulation, controls

3990

E. Fol, J.M. Coello de Portugal, R. Tomás
CERN, Meyrin, Switzerland
G. Franchetti
GSI, Darmstadt, Germany

Optics corrections in the LHC are based on a response matrix approach between available correctors and observables. Supervised learning has been applied to quadrupole error prediction at the LHC giving promising results in simulations and surpassing the performance of the traditional approach. A comparison of different algorithms is given and it is followed by the presentation of further possible concepts to obtain optics corrections using machine learning.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB077

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paper received ※ 14 May 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019

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THPRB093

RF Data Acquisition and Soft Alarm System for the Taiwan Photon Source

SRF, EPICS, status, data-acquisition

4039

Z.K. Liu, F.Y. Chang, L.-H. Chang, M.H. Chang, S.W. Chang, L.J. Chen, F.-T. Chung, Y.T. Li, M.-C. Lin, C.H. Lo, Ch. Wang, M.-S. Yeh, T.-C. Yu
NSRRC, Hsinchu, Taiwan

The Taiwan Photon Source (TPS) is a modern, high brightness 3 GeV light source. A data acquisition pro-gram for the radio frequency (RF) system, including a transient data recorder, a long term data archiver and real time data monitoring, has been developed for the analysis of RF trips and RF system debugging. A soft alarm system is implemented as well utilizing EPICS and python packages. The hardware architecture and the functionality of the RF data acquisition and soft alarm system will be discussed in this article.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPRB093

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paper received ※ 09 April 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019

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THPTS002

Sirius Pre-alignment Results

alignment, booster, storage-ring, laser

4106

R. Junqueira Leão, H. Geraissate Paranhos de Oliveira, F. Rodrigues, G.R. Rovigatti de Oliveira, U.R. Sposito
LNLS, Campinas, Brazil

Sirius is a 4th generation synchrotron light source under final installation and beginning of commissioning phase in Brazil, with a bare emittance of 250 picometer rad. In order to fulfil stability requirements (magnets displacement caused by vibration of 6 nm) imposed to achieve expected performance, the mechanical assembly of supporting structures and magnets were designed without adjustment mechanisms. Yet, the misalignment errors of the magnets are the dominating source of dynamical aperture reduction, leading to a maximum permissible deviation of 40 micrometers between adjacent magnets. To this end, dimensional engineering was applied to conceive an alignment concept for magnets on a same girder based solely on the geometric characteristics of the parts. For the large volume positioning of girders in the storage ring tunnel, the applied methodology followed a strategy optimized to reduce measurement uncertainty, as described in the literature. This paper will present the complete measurement process that led to the alignment of Sirius, from the deployment and survey of reference networks to the final alignment of the machine. To express a consistent and unequivocal alignment result and assess the alignment quality considering the measurement uncertainty, an innovative metric described previously was employed. This work will show that the positioning of supports satisfies the requirement of 80 micrometer between girders. Also, the devices and mechanisms used for assembling will be detailed. Inspection of full girder set performed on a Coordinate measuring machine shows a maximum deviation of 30 micrometers for any pair of magnets on a common support.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS002

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paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019

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THPTS039

DESIGN OF A COMPACT VARIABLE X-BAND RF POWER SPLITTER

GUI, impedance, klystron, electron

4194

F. Liu, H.B. Chen, J.Y. Liu, Z.N. Liu, J. Shi, H. Zha
TUB, Beijing, People’s Republic of China

This paper presents a design of a compact variable X-band RF power splitter. The RF power splitter includes one input port and two output ports, and the power divi-sion ratio can be adjusted by changing the position of a short circuit piston. This system keeps a good match (less than -40 dB) at any power division ratio. An E-bend waveguide structure is selected to make the geometry more compact (11cm in length, 3.5cm in width and 5 cm in height). Special studies was conducted to sustain a low surface electrical field (maximum 65 MV/m at 100 MW input), and large bandwidth (250MHz). This power split-ter is designed for high-power test stand at Tsinghua Uni-versity.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS039

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paper received ※ 14 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019

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THPTS059

Development of a 1.5 GHz, 1 KW Solid State Power Amplifier for 3rd Harmonic System of the Alba Storage Ring

cavity, storage-ring, ISOL, operation

4240

Z. Hazami, F. Pérez, A. Salom, P. Solans
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain

ALBA is the Spanish third generation synchrotron light source, located near Barcelona, in operation since 2012. In order to improve the operation, a third harmonic system has been designed for the Storage Ring in order to stretch the bunch length, and so, improve the beam life time and increase the stability current thresholds. The design of the system consist of four Higher Order Mode (HOM) damped normal conductive active cavities at 1.5 GHz*, feed with 20 kW of RF power each cavity, in order to provide the voltage of 1 MV to the electron beam. The 20 kW RF power transmitter system is based on 250 W solid state power amplifier modules added in parallel by a tree combination technique. The selected combination tree divides the 20 kW overall power per cavity in twenty 1 kW crates. This paper presents the designs of the 250 W power amplifier modules, of the splitter and of the combiner, as well as the measurement results of a 1 kW prototype crate.
* HOM Damped Normal Conducting 1.5 GHz Cavity for the 3rd Harmonic System of the ALBA Storage Ring. IPAC 2019 proceedings

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS059

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paper received ※ 14 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019

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THPTS070

Diagnostic Tool For CompactPCI Crates

EPICS, controls, status, diagnostics

4275

H.Z. Chen, C.H. Chen, Y.-S. Cheng, K.T. Hsu, K.H. Hu, C.Y. Liao, C.Y. Wu
NSRRC, Hsinchu, Taiwan

On the control system hardware platform for the Taiwan Photon Source (TPS) more than half use CompactPCI crates. If a crate malfunctions, the internal crate card will not operate properly affecting accelerator operation. If the crate, however, could provide instant remote operational information, an opportunity exists to maintain or replace it in advance. Therefore, a diagnostic tool was developed to analyse and diagnose the condition of the crates. When abnormal operations occur, an alarm can be issued for early inspection and maintenance. This way it is possible to prevent the EPICS IOC from crashing by CompactPCI crates, which improves the reliability of accelerator operation. A detailed system architecture, implementation and progress will be discussed in this report.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS070

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paper received ※ 14 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019

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THPTS095

High Efficiency High Power Resonant Cavity Amplifier For PIP-II

cavity, coupling, impedance, operation

4335

M.P.J. Gaudreau, D.B. Cope, E.G. Johnson, M.K. Kempkes, R.E. Simpson, N.A. Stuart
Diversified Technologies, Inc., Bedford, Massachusetts, USA

Funding: Work funded under US DOE Grant No. DE-SC0015780
Diversified Technologies, Inc. (DTI) is developing an integrated resonant-cavity combined solid-state amplifier for the Proton Improvement Plan-II (PIP-II) at Fermilab. The prototype has demonstrated multiple-transistor combining at 70% efficiency, at 675 watts per transistor at 650 MHz. The patent pending design simplifies solid-state transmitters to create straightforward scaling to 200 kW and higher high power levels. A crucial innovation is the reliable "soft-failure" mode of operation; a failure in one or more of the transistors has negligible performance impact. This design couples the transistor drains directly to the cavity without first transforming to 50 Ohms, avoiding the circulators, cables, and connectors that would normally be required. Under an ongoing SBIR grant from the US Department of Energy, DTI designed the system to accommodate over 96 transistors in each 50 kW cavity, with minimal RF, DC, and cooling connections. By the end of the SBIR, DTI will build and demonstrate a complete 100 kW-class (~200 kW) transmitter by combining four cavity modules to show the expandability of the design to very high power levels, comparable to large VEDs.

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reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS095

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paper received ※ 19 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019

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