| Paper | Title | Page |
|---|---|---|
| TUPOPT058 | A Machine Learning Approach to Electron Orbit Control at the 1.5 GeV Synchrotron Light Source DELTA | 1137 |
|
||
| Machine learning (ML) methods have found their application in a wide range of particle accelerator control tasks. Among other possible use cases, neural networks (NNs) can also be utilized for automated beam position control (orbit correction). ML studies on this topic, which were initially based on simulations, were successfully transferred to real accelerator operation at the 1.5-GeV electron storage ring of the DELTA accelerator facility. For this purpose, classical fully connected multi-layer feed-forward NNs were trained by supervised learning on measured orbit data to apply local and global beam position corrections. The supervised NN training was carried out with various conjugate gradient backpropagation learning algorithms. Afterwards, the ML-based orbit correction performance was compared with a conventional, numerical-based computing method. Here, the ML-based approach showed a competitive orbit correction quality in a fewer number of correction steps. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOPT058 | |
| About • | Received ※ 20 May 2022 — Accepted ※ 16 June 2022 — Issue date ※ 25 June 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| TUPOPT059 | Machine Learning Methods for Chromaticity Control at the 1.5 GeV Synchrotron Light Source DELTA | 1141 |
|
||
| In the past, the chromaticity values at the DELTA electron storage ring were manually adjusted using 15 individual sextupole power supply circuits, which are combined into 7 magnet families. To automate and optimize the time-consuming setting process, various machine learning (ML) approaches were investigated. For this purpose, simulations were first performed using a storage ring model and the performance of different neural network (NN) based models was compared. Subsequently, the neural networks were trained with experimental data and successfully implemented for chromaticity correction in real accelerator operation. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOPT059 | |
| About • | Received ※ 20 May 2022 — Revised ※ 11 June 2022 — Accepted ※ 15 June 2022 — Issue date ※ 21 June 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| TUPOPT060 | EPICS-Based Telegram Integration for Control and Alarm Handling at TEX Facility | 1145 |
|
||
| We report the status of the development of an High Power RF Laboratory in X-Band called TEX (TEst-stand for X-Band). TEX is part of the LATINO (Laboratory in Advanced Technologies for INnOvation) initiative that is ongoing at the Frascati National Laboratories (LNF) of the Italian Institute for Nuclear Physics (INFN) that covers many different areas focused on particle accelerator technologies. TEX is a RF test facility based on solid-state K400 modulator from ScandiNova with a 50 MW class X-band (11.994 GHz) klystron tube model VKX8311A operating at 50 Hz. TeXbot is a Telegram bot used to notify in asynchronous way event at TEX. The application has been realized making use of framework such as telepot and pysmlib, to interface with Telegram and with EPICS environment respectively. The bot make able the user to subscribe to multiple topic in order to be automatically notified in case of different set up of the machine or when an interlock occurs on a single component. Furthermore the user can request detailed information about subsystem of the accelerator by simply make use of special commands and token in Telegram app. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOPT060 | |
| About • | Received ※ 16 June 2022 — Revised ※ 16 June 2022 — Accepted ※ 17 June 2022 — Issue date ※ 21 June 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| TUPOPT063 | Vsystem to EPICS Control System Transition at the ISIS Accelerators | 1156 |
|
||
| The ISIS Neutron and Muon Source at Rutherford Appleton Laboratory is a pulsed source used for research in material and life sciences. A linac and synchrotron accelerate protons to produce neutrons in two spallation targets. The accelerators are currently operated using commercial Vsystem control software. A transition to the EPICS control system is underway, with the end goal of a containerised system preferring the pvAccess protocol. We report the progress of this transition, which is being done without disrupting ISIS operations. We describe a bidirectional interface between Vsystem and EPICS that enables the two control systems to co-exist and interact. This allows us to decouple the transition of controls UI from the associated hardware. Automated conversion of the binary-format Vsystem control screens has been developed that replicates the current interface in EPICS, allowing minimal retraining of operators. We also outline the development of EPICS interfaces to standard and unique-to-ISIS hardware, reuse of and managing continuity of existing long-term data archiving, the development of EPICS interfaces to standard and unique-to-ISIS hardware, and migration of alerts. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOPT063 | |
| About • | Received ※ 25 May 2022 — Accepted ※ 13 June 2022 — Issue date ※ 16 June 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| TUPOPT064 | Online Optimization of NSLS-II Dynamic Aperture and Injection Transient | 1159 |
|
||
| The goal of the NSLS-II online optimization project is to improve the beam quality for the user experiments. To increase the beam lifetime and injection efficiency, we have developed a model-independent online optimization of nonlinear beam dynamics using advanced algorithms, such as Robust Conjugate-Gradient Algorithm (RCDS). The optimization objective is the injection efficiency and optimization variables are the sextupole magnet strengths. Using the online optimization technique, we increased the NSLS-II dynamic aperture and reduced the amplitude-dependent tune shift. Recently, the sextupole optimization was successfully applied to double the injection efficiency up to above 90% for the high-chromaticity lattice being developed to improve the beam stability and to in-crease the single-bunch beam intensity. Minimizing the beam perturbation during injection is the second objective in this project, realized by online optimization of the injection kickers. To optimize the full set of kicker parameters, including the trigger timing, amplitude, and pulse width, we upgraded all kicker power supplies with the capability of tunable waveform width. As a result, we have reduced the injection transient by a factor of 29, down to the limit of 60 um. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOPT064 | |
| About • | Received ※ 18 May 2022 — Revised ※ 11 June 2022 — Accepted ※ 12 June 2022 — Issue date ※ 16 June 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| TUPOTK050 | Development of Zynq SoC-Based EPICS IOC for KOMAC Remote Control System | 1330 |
|
||
|
Funding: This work was supported by the KOMAC (Korea Multi-purpose Accelerator Complex) operation fund of KAERI by MSIT (Ministry of Science and ICT) The KOMAC proton accelerator consists of a 100 MeV linear accelerator and beam lines for beam services. Devices of various form factors are used as control systems in accelerator control systems and beam diagnosis systems. With the recent upgrade of the control system, a Zynq-based control system has been developed that enables the latest technology and low cost. The Zynq-based DAQ system was developed by adopting Digilent’s Zybo z7 series board and AD7605 analog-to-digital data acquisition system. The Zybo z7 is an embedded software and digital circuit development board built around the Xilinx Zynq-7000 family. The Zynq is based on Xilinx All Programmable System-on-Chip (AP SoC) architecture, which tightly integrates a dual-core ARM Cortex-A9 processor with Xilinx7-series Field Programmable Gate Array (FPGA) logic. The AD7605 is a 4-channel and 16bit ADC with 300 kSPS on all channels. The Zynq SoC-based DAQ system will be used for beam feedback control and RF signal monitoring at KOMAC. This paper introduces the development of configurations for the development of Zynq-based control systems, programmable Logic (PL) builds, and Linux and EPICS porting. |
||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOTK050 | |
| About • | Received ※ 08 June 2022 — Revised ※ 10 June 2022 — Accepted ※ 17 June 2022 — Issue date ※ 10 July 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
| TUPOMS055 | A Modernized Architecture for the Post Mortem System at CERN | 1557 |
|
||
| The control system of the accelerators at CERN stores and analyses more than 200 million dumps of high resolution data recordings every year in the Post Mortem (PM) system. A continuous increase in the complexity of the Large Hadron Collider’s (LHC) systems and the desire to collect more accurate data requires continuous improvement of the PM system. Recently, the PM system has been modernized ahead of the third operational Run of the LHC. The upgraded system implements well known data engineering principles such as horizontal scaling, stateless services and readiness for extensions. This paper recalls the purpose of the PM service and its current use cases. It presents its modernized architecture, reviews the current performance and limitations of the system, and draws perspectives for the next steps in its evolution. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2022-TUPOMS055 | |
| About • | Received ※ 07 June 2022 — Revised ※ 14 June 2022 — Accepted ※ 14 June 2022 — Issue date ※ 23 June 2022 | |
| Cite • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |