arXiv - PHYS - Accelerator Physics最新文献_第3页

Beamline Steering Using Deep Learning Models 利用深度学习模型进行光束线引导

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-24 DOI: arxiv-2408.13657

Dexter Allen, Isaac Kante, Dorian Bohler

{"title":"Beamline Steering Using Deep Learning Models","authors":"Dexter Allen, Isaac Kante, Dorian Bohler","doi":"arxiv-2408.13657","DOIUrl":"https://doi.org/arxiv-2408.13657","url":null,"abstract":"Beam steering involves the calibration of the angle and position at which a\u0000particle accelerator's electron beam is incident upon the x-ray target with\u0000respect to the rotation axis of the collimator. Beam Steering is an essential\u0000task for light sources. The Linac To Undulator is very difficult to steer and\u0000aim due to the changes of each use of the accelerator there must be\u0000re-calibration of magnets. However with each use of the Beamline its current\u0000method of steering runs into issues when faced with calibrating angles and\u0000positions. Human operators spend a substantial amount of time and resources on\u0000the task. We developed multiple different feed-forward-neural networks with\u0000varying hyper-parameters, inputs, and outputs, seeking to compare their\u0000performance. Specifically, our smaller models with 33 inputs and 13 outputs\u0000outperformed the larger models with 73 inputs and 50 outputs. We propose the\u0000following explanations for this lack of performance in larger models. First, a\u0000lack of training time and computational power limited the ability of our models\u0000to mature. Given more time, our models would outperform SVD. Second, when the\u0000input size of the model increases the noise increases as well. In this case\u0000more inputs corresponded to a greater length upon the LINAC accelerator. Less\u0000specific and larger models that seek to make more predictions will inherently\u0000perform worse than SVD.","PeriodicalId":501318,"journal":{"name":"arXiv - PHYS - Accelerator Physics","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Final Cooling With Thick Wedges for a Muon Collider 用厚楔为缪子对撞机进行最终冷却

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-22 DOI: arxiv-2408.12696

D. FuUniversity of Chicago, A. Badea. K. Folan Di PetrilloUniversity of Chicago, D. NeufferFermilab, D. StratakisFermilab

引用次数: 0

Beam-based Identification of Magnetic Field Errors in a Synchrotron using Deep Lie Map Networks 利用深度谎言图网络，基于光束识别同步加速器中的磁场误差

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-21 DOI: arxiv-2408.11677

Conrad Caliari, Adrian Oeftiger, Oliver Boine-Frankenheim

{"title":"Beam-based Identification of Magnetic Field Errors in a Synchrotron using Deep Lie Map Networks","authors":"Conrad Caliari, Adrian Oeftiger, Oliver Boine-Frankenheim","doi":"arxiv-2408.11677","DOIUrl":"https://doi.org/arxiv-2408.11677","url":null,"abstract":"We present the first experimental validation of the Deep Lie Map Network\u0000(DLMN) approach for recovering both linear and non-linear optics in a\u0000synchrotron. The DLMN facilitates the construction of a detailed accelerator\u0000model by integrating charged particle dynamics with machine learning\u0000methodology in a data-driven framework. The primary observable is the centroid\u0000motion over a limited number of turns, captured by beam position monitors. The\u0000DLMN produces an updated description of the accelerator in terms of magnetic\u0000multipole components, which can be directly utilized in established accelerator\u0000physics tools and tracking codes for further analysis. In this study, we apply\u0000the DLMN to the SIS18 hadron synchrotron at GSI for the first time. We discuss the validity of the recovered linear and non-linear optics,\u0000including quadrupole and sextupole errors, and compare our results with\u0000alternative methods, such as the LOCO fit of a measured orbit response matrix\u0000and the evaluation of resonance driving terms. The small number of required\u0000trajectory measurements, one for linear and three for non-linear optics\u0000reconstruction, demonstrates the method's time efficiency. Our findings\u0000indicate that the DLMN is well-suited for identifying linear optics, and the\u0000recovery of non-linear optics is achievable within the capabilities of the\u0000current beam position monitor system. We demonstrate the application of DLMN\u0000results through simulated resonance diagrams in tune space and their comparison\u0000with measurements. The DLMN provides a novel tool for analyzing the causal\u0000origins of resonances and exploring potential compensation schemes.","PeriodicalId":501318,"journal":{"name":"arXiv - PHYS - Accelerator Physics","volume":"283 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PIP-II Linac Cryogenic Distribution System Design Challenges PIP-II 直列加速器低温配送系统设计挑战

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-20 DOI: arxiv-2408.11018

T. BanaszkiewiczWroclaw University of Science and Technology, Wroclaw, Poland, M. ChorowskiWroclaw University of Science and Technology, Wroclaw, Poland, P. DudaWroclaw University of Science and Technology, Wroclaw, Poland, M. StanclikWroclaw University of Science and Technology, Wroclaw, Poland, R. DhuleyFermi National Accelerator Laboratory, Batavia, USA, A. MartinezFermi National Accelerator Laboratory, Batavia, USA, W. SoyarsFermi National Accelerator Laboratory, Batavia, USA

{"title":"PIP-II Linac Cryogenic Distribution System Design Challenges","authors":"T. BanaszkiewiczWroclaw University of Science and Technology, Wroclaw, Poland, M. ChorowskiWroclaw University of Science and Technology, Wroclaw, Poland, P. DudaWroclaw University of Science and Technology, Wroclaw, Poland, M. StanclikWroclaw University of Science and Technology, Wroclaw, Poland, R. DhuleyFermi National Accelerator Laboratory, Batavia, USA, A. MartinezFermi National Accelerator Laboratory, Batavia, USA, W. SoyarsFermi National Accelerator Laboratory, Batavia, USA","doi":"arxiv-2408.11018","DOIUrl":"https://doi.org/arxiv-2408.11018","url":null,"abstract":"The PIP-II linac Cryogenic Distribution System (CDS) is characterized by\u0000extremely small heat inflows and robust mechanical design. It consists of a\u0000Distribution Valve Box (DVB), Intermediate Transfer Line, Tunnel Transfer Line,\u0000comprising 25 Bayonet Cans, and ends with a Turnaround Can. Multiple helium\u0000streams, each characterized by distinct helium parameters, flow through each of\u0000these elements. The CDS geometry allows maintaining an acceptable pressure drop\u0000for each helium stream, considering the planned flows and helium parameters in\u0000different operation modes. This is particularly crucial for the return line of\u0000helium vapors, which return from cryomodules to the cold compressors and thus\u0000have very restrictive pressure drop requirements. On both sides of the DVB\u0000there are fixed supports for process pipes. One of the DVB design challenges\u0000was to route the process pipes in such a way that their shape provided\u0000sufficient compensation for thermal shrinkage. This ensures th at the forces\u0000resulting from thermal shrinkage acting on the cryogenic valves remain at a\u0000level acceptable to the manufacturer. The required thermal budget of the CDS\u0000was achieved by thermo-mechanical optimization of its components, like process\u0000pipes fixed supports in Bayonet Cans.","PeriodicalId":501318,"journal":{"name":"arXiv - PHYS - Accelerator Physics","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Results of High Order Modes Spectra Measurements in 1.3 GHz Cavities for LCLS-II 用于 LCLS-II 的 1.3 GHz 腔内高阶模频谱测量结果

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-20 DOI: arxiv-2408.10991

A. LuninFermilab, Batavia, USA, T. KhabiboullineFermilab, Batavia, USA, A. SukhanovFermilab, Batavia, USA, V. YakovlevFermilab, Batavia, USA

引用次数: 0

Conceptual Design of A 20 T Dipole Based on Hybrid REBCO/Nb3Sn Cos-theta Coil* 基于 REBCO/Nb3Sn 混合型 Cos-theta 线圈的 20 T 偶极子概念设计*

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-20 DOI: arxiv-2408.11023

A. V. ZlobinFermilab, Batavia, IL, USA

引用次数: 0

Preliminary Results of the 2023 International Fermilab Booster Studies 2023 年费米实验室国际助推器研究的初步结果

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-16 DOI: arxiv-2408.08987

Jeffrey Eldred, Michael Balcewicz, Frank Schmidt, Benjamin Simons

引用次数: 0

Beam dynamics performance of the proposed PETRA IV storage ring 拟议 PETRA IV 储存环的光束动力学性能

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-15 DOI: arxiv-2408.07995

I. Agapov, S. Antipov, R. Bartolini, R. Brinkmann, Y-C. Chae, E. C. Cortes-Garcia, D. Einfeld, T. Hellert, M. Huening, M. A. Jebramcik, J. Keil, C. Li, L. Malina, R. Wanzenberg

引用次数: 0

Estimate of Multi-Shot Laser-Induced Polarization for High Energy Electrons 高能电子的多束激光诱导极化估计

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-14 DOI: arxiv-2408.08917

Katherine D. Ranjbar, Emily Snyder, Alice Snyder, Vahid H. Ranjbar

引用次数: 0

Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal 利用不确定性感知潜演化反转实现时空光束动力学的时间反转

arXiv - PHYS - Accelerator Physics Pub Date : 2024-08-14 DOI: arxiv-2408.07847

Mahindra Rautela, Alan Williams, Alexander Scheinker

{"title":"Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal","authors":"Mahindra Rautela, Alan Williams, Alexander Scheinker","doi":"arxiv-2408.07847","DOIUrl":"https://doi.org/arxiv-2408.07847","url":null,"abstract":"Charged particle dynamics under the influence of electromagnetic fields is a\u0000challenging spatiotemporal problem. Many high performance physics-based\u0000simulators for predicting behavior in a charged particle beam are\u0000computationally expensive, limiting their utility for solving inverse problems\u0000online. The problem of estimating upstream six-dimensional phase space given\u0000downstream measurements of charged particles in an accelerator is an inverse\u0000problem of growing importance. This paper introduces a reverse Latent Evolution\u0000Model (rLEM) designed for temporal inversion of forward beam dynamics. In this\u0000two-step self-supervised deep learning framework, we utilize a Conditional\u0000Variational Autoencoder (CVAE) to project 6D phase space projections of a\u0000charged particle beam into a lower-dimensional latent distribution.\u0000Subsequently, we autoregressively learn the inverse temporal dynamics in the\u0000latent space using a Long Short-Term Memory (LSTM) network. The coupled\u0000CVAE-LSTM framework can predict 6D phase space projections across all upstream\u0000accelerating sections based on single or multiple downstream phase space\u0000measurements as inputs. The proposed model also captures the aleatoric\u0000uncertainty of the high-dimensional input data within the latent space. This\u0000uncertainty, which reflects potential uncertain measurements at a given module,\u0000is propagated through the LSTM to estimate uncertainty bounds for all upstream\u0000predictions, demonstrating the robustness of the LSTM against in-distribution\u0000variations in the input data.","PeriodicalId":501318,"journal":{"name":"arXiv - PHYS - Accelerator Physics","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142216295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0