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International audience; Hybrid magnets are currently under consideration as an economically viable option towards 20 T dipole magnets for next generation of particle accelerators. In these magnets, High Temperature Superconducting (HTS) materials are used in the high field part of the coil with so-called insert coils, and Low Temperature Superconductors (LTS) like Nb3Sn and Nb-Ti superconductors are used in the lower field region with so-called outsert coils. The attractiveness of the hybrid option lays on the fact that, on the one hand, the 20 T field level is beyond the Nb3Sn practical limits of 15-16 T for accelerator magnets and can be achieved only via HTS materials; on the other hand, the high cost of HTS superconductors compared to LTS superconductors makes it advantageous exploring a hybrid approach, where the HTS portion of the coil is minimized. We present in this paper an overview of different design options aimed at generating 20 T field in a 50 mm clear aperture. The coil layouts investigated include the Cos-theta design (CT), with its variations to reduce the conductor peak stress, namely the Canted Cos-theta design (CCT) and the Stress Management Cos-theta design (SMCT), and, in addition, the Block-type design (BL) including a form of stress management and the Common-Coil design (CC). Results from a magnetic and mechanical analysis are discussed, with particular focus on the comparison between the different options regarding quantity of superconducting material, field quality, conductor peak stress, and quench protection.

This review discusses the strategies of preclinical studies intended for accelerator-based (AB)-boron neutron capture therapy (BNCT) clinical trials, which were presented at the National Cancer Institute (NCI) Workshop on Neutron Capture Therapy held from April 20 to 22, 2022. Clinical studies of BNCT have been conducted worldwide using reactor neutron sources, with most targeting malignant brain tumors, melanoma, or head and neck cancer. Recently, small accelerator-based neutron sources that can be installed in hospitals have been developed. AB-BNCT clinical trials for recurrent malignant glioma, head and neck cancers, high-grade meningioma, melanoma, and angiosarcoma have all been conducted in Japan. The necessary methods, equipment, and facilities for preclinical studies to evaluate the biological effects of AB-BNCT systems in terms of safety and efficacy are described, with reference to two examples from Japan. The first is the National Cancer Center, which is equipped with a vertical downward neutron beam, and the other is the University of Tsukuba, which has a horizontal neutron beam. The preclinical studies discussed include cell-based assays to evaluate cytotoxicity and genotoxicity, in vivo cytotoxicity and efficacy of BNCT, and radioactivation measurements.

To treat superficial tumors using accelerator-based boron neutron capture therapy (ABBNCT), a technique was investigated, based on which, a single-neutron modulator was placed inside a collimator and was irradiated with thermal neutrons. In large tumors, the dose was reduced at their edges. The objective was to generate a uniform and therapeutic intensity dose distribution. In this study, we developed a method for optimizing the shape of the intensity modulator and irradiation time ratio to generate a uniform dose distribution to treat superficial tumors of various shapes. A computational tool was developed, which performed Monte Carlo simulations using 424 different source combinations. We determined the shape of the intensity modulator with the highest minimum tumor dose. The homogeneity index (HI), which evaluates uniformity, was also derived. To evaluate the efficacy of this method, the dose distribution of a tumor with a diameter of 100 mm and thickness of 10 mm was evaluated. Furthermore, irradiation experiments were conducted using an ABBNCT system. The thermal neutron flux distribution outcomes that have considerable impacts on the tumor’s dose confirmed a good agreement between experiments and calculations. Moreover, the minimum tumor dose and HI improved by 20 and 36%, respectively, compared with the irradiation case wherein a single-neutron modulator was used. The proposed method improves the minimum tumor volume and uniformity. The results demonstrate the method’s efficacy in ABBNCT for the treatment of superficial tumors.

A 218 MHz quarter wave niobium cavity has been fabricated for the purpose of demonstrating Nb3Sn technology on a low-beta accelerator cavity. Niobiumtin has been established as a promising next generation SRF material, but development has focused primarily in high-beta elliptical cell cavities. This material has a significantly higher TC than niobium, allowing for design of higher frequency quarter wave cavities (that are subsequently smaller) as well as for significantly lowered cooling requirements (possibly leading to cryocooler based designs). The fabrication, initial cold testing, and Nb3Sn coating are discussed as well as test plans and details of future applications., 21st Intl Conf Radio Frequency Superconductivity (SRF 2023)

The most effective way to achieve very high collision energies in a circular particle accelerator is to maximize the field strength of the main bending dipoles. In dipole magnets using Nb-Ti superconductor the practical field limit is considered to be 8-9 T. When Nb3Sn superconductor material is utilized, a field level of 15-16 T can be achieved. To further push the magnetic field beyond the Nb3Sn limits, High Temperature Superconductors (HTS) need to be considered in the magnet design. The most promising HTS materials for particle accelerator magnets are Bi2212 and REBCO. However, their outstanding performance comes with a significantly higher cost. Therefore, an economically viable option towards 20 T dipole magnets could consist in an hybrid solution, where both HTS and Nb3Sn materials are used. We discuss in this paper preliminary conceptual designs of various 20 T hybrid magnet concepts. After the definition of the overall design criteria, the coil dimensions and parameters are investigated with finite element models based on simple sector coils. Preliminary 2D cross-section computation results are then presented and three main layouts compared: cos-theta, block, and common-coil. Both traditional designs and more advanced stress-management options are considered., arXiv admin note: substantial text overlap with arXiv:2203.13985

The superconducting linear accelerator is a highly flexiable facility for modern scientific discoveries, necessitating weekly reconfiguration and tuning. Accordingly, minimizing setup time proves essential in affording users with ample experimental time. We propose a trend-based soft actor-critic(TBSAC) beam control method with strong robustness, allowing the agents to be trained in a simulated environment and applied to the real accelerator directly with zero-shot. To validate the effectiveness of our method, two different typical beam control tasks were performed on China Accelerator Facility for Superheavy Elements (CAFe II) and a light particle injector(LPI) respectively. The orbit correction tasks were performed in three cryomodules in CAFe II seperately, the time required for tuning has been reduced to one-tenth of that needed by human experts, and the RMS values of the corrected orbit were all less than 1mm. The other transmission efficiency optimization task was conducted in the LPI, our agent successfully optimized the transmission efficiency of radio-frequency quadrupole(RFQ) to over $85\%$ within 2 minutes. The outcomes of these two experiments offer substantiation that our proposed TBSAC approach can efficiently and effectively accomplish beam commissioning tasks while upholding the same standard as skilled human experts. As such, our method exhibits potential for future applications in other accelerator commissioning fields.

Plasma-based acceleration has emerged as a promising candidate as an accelerator technology for a future linear collider or a next-generation light source. We consider the plasma wakefield accelerator (PWFA) concept where a plasma wave wake is excited by a particle beam and a trailing beam surfs on the wake. For a linear collider, the energy transfer efficiency from the drive beam to the wake and from the wake to the trailing beam must be large, while the emittance and energy spread of the trailing bunch must be preserved. One way to simultaneously achieve this when accelerating electrons is to use longitudinally shaped bunches and nonlinear wakes. In the linear regime, there is an analytical formalism to obtain the optimal shapes. In the nonlinear regime, however, the optimal shape of the driver to maximize the energy transfer efficiency cannot be precisely obtained because currently no theory describes the wake structure and excitation process for all degrees of nonlinearity. In addition, the ion channel radius is not well defined at the front of the wake where the plasma electrons are not fully blown out by the drive beam. We present results using a novel optimization method to effectively determine a current profile for the drive and trailing beam in PWFA that provides low energy spread, low emittance, and high acceleration efficiency. We parameterize the longitudinal beam current profile as a piecewise-linear function and define optimization objectives. For the trailing beam, the algorithm converges quickly to a nearly inverse trapezoidal trailing beam current profile similar to that predicted by the ultrarelativistic limit of the nonlinear wakefield theory. For the drive beam, the beam profile found by the optimization in the nonlinear regime that maximizes the transformer ratio also resembles that predicted by linear theory. The current profiles found from the optimization method provide higher transformer ratios compared with the linear ramp predicted by the relativistic limit of the nonlinear theory.

Each year more than 3,000 Canadians are diagnosed with brain cancers like glioblastoma multiforme or recurrent head and neck cancers which are difficult to treat with conventional radiotherapy techniques. One of the most clinically promising treatments for these cancers is boron neutron capture therapy (BNCT). This procedure involves selectively introducing a boron delivery agent into tumor cells and irradiating them with a neutron beam, which kills the cancer cells due to the high-LET radiation produced by the 10B(n,α)7Li capture reaction. The theory of BNCT has been around for a long time since 1936, but has historically been limited by poor boron delivery agents and nonoptimal neutron source facilities. Although significant improvements have been made in both of these domains, it is mainly the advancements of accelerator-based neutron sources that has led to the expansion of over 20 new BNCT facilities worldwide in the past decade. Additionally in this work, PHITS (Particle and Heavy Ion Transport Code System) simulations, in collaboration with the University of Tsukuba, were performed to examine the effectiveness of the Ibaraki-Boron Neutron Capture Therapy (iBNCT) beam shaping assembly (BSA) to moderate a neutron beam suitable for BNCT at the proposed PC-CANS (Prototype Canadian Compact Accelerator-based Neutron Source) site, which uses a similar but slightly higher energy 10 MeV proton accelerator with a 1 mA average current. The advancements of compact acceleratorbased neutron sources in recent decades has enabled significant improvements in BNCT technologies, allowing it to become a more viable clinical treatment option.

We report results of the experimental test of the High Temperature Superconductor based fast cycling prototype accelerator magnet capable to operate up to about 300 Tesla per second field ramping rate with some 0.5 T field in the magnet gap. The measured upper limit for the cryogenic cooling power required to support magnet conductor operation at high ramping rates indicates great potential for such types of magnets in rapid cycling synchrotrons for neutrino research or muon acceleration. The test magnet design, construction, and supporting cryogenic and power systems are briefly described. The magnet power test results are discussed in terms of a possible upgrade of this magnet design to 2 T field, a maximum feasible with superferric magnet., Comment: 4 pages, 10 figures; presented at the 27th International Conference on Magnet Technology (MT27, Fukuoka, Japan, November 15-19, 2021)

The Nagoya University Accelerator-driven Neutron Source (NUANS) is an accelerator-based neutron source by 7Li(p,n)7Be reaction with a 2.8 MeV proton beam up to 15 mA. The fast neutrons are moderated and shaped to beam with a Beam Shaping Assembly (BSA). NUANS is aiming at the basic study of the Boron Neutron Capture Therapy (BNCT) such as an in vitro cell-based irradiation experiment using a water phantom. Moreover, the BSA is developed as a prototype of one for human treatment. We have evaluated the radiation field of NUANS by a Monte Carlo code PHITS. It is confirmed that the radiation characteristics at the BNCT outlet meet the requirement of IAEA TECDOC-1223. Additionally, the radiation field in the water phantom located just in front of the BSA outlet is calculated. In the in vitro irradiation experiment, the boron dose of 30 Gy-eq, which is the dose to kill tumor cells, is expected for 20 min of irradiation at the beam current of 15 mA.

This paper explores the Invariant Subspace Problem in operator theory and functional analysis, examining its applications in various branches of mathematics and physics. The problem addresses the existence of invariant subspaces for bounded linear operators on a Hilbert space. We extensively explore the significance of understanding the behavior of linear operators and the existence of invariant subspaces, as well as their profound connections to spectral theory, operator algebras, quantum mechanics, dynamical systems and accelerator physics . By thoroughly exploring these applications, we aim to highlight the wide-ranging impact and relevance of the invariant subspace problem in mathematics and physics.

Particle accelerators, among the largest, most complex devices, demand increasingly sophisticated computational tools for the design and optimization of the next generation of accelerators that will meet the challenges of increasing energy, intensity, accuracy, compactness, complexity and efficiency. It is key that contemporary software take advantage of the latest advances in computer hardware and scientific software engineering practices, delivering speed, reproducibility and feature composability for the aforementioned challenges. We will describe the Exascale software stack that is being developed at the heart of the Beam pLasma Accelerator Simulation Toolkit (BLAST). As a highlight, we present how the US DOE Exascale Computing Project (ECP) application WarpX uses the power of GPUs at scale, which won the 2022 ACM Gordon Bell Prize. We will present performance results on the first Exascale supercomputer for the modeling of laser-plasma acceleration. We then describe how we are leveraging the ECP experience to develop a new generation ecosystem of codes that, combined with machine learning, will enable modeling from the ultrafast to the ultraprecise for future accelerator design and operations.

Particle accelerators, among the largest, most complex devices, demand increasingly sophisticated computational tools for the design and optimization of the next generation of accelerators that will meet the challenges of increasing energy, intensity, accuracy, compactness, complexity and efficiency. It is key that contemporary software take advantage of the latest advances in computer hardware and scientific software engineering practices, delivering speed, reproducibility and feature composability for the aforementioned challenges. We will describe the Exascale software stack that is being developed at the heart of the Beam pLasma Accelerator Simulation Toolkit (BLAST). As a highlight, we present how the US DOE Exascale Computing Project (ECP) application WarpX uses the power of GPUs at scale, which won the 2022 ACM Gordon Bell Prize. We will present performance results on the first Exascale supercomputer for the modeling of laser-plasma acceleration. We then describe how we are leveraging the ECP experience to develop a new generation ecosystem of codes that, combined with machine learning, will enable modeling from the ultrafast to the ultraprecise for future accelerator design and operations.

An alternative approach to solving the Newton equation for charged particles of variable mass is proposed on the example of an electron motion in a linear accelerator, based on the use of interaction equation of the masses for the electron and the accelerator fields and the spatially limited electron field. The results of methodical calculation on a separate example are in good agreement with the experimental values of electron velocities in a wide range of accelerator voltages.

An alternative approach to solving the Newton equation for charged particles of variable mass is proposed on the example of an electron motion in a linear accelerator, based on the use of interaction equation of the masses for the electron and the accelerator fields and the spatially limited the electron field. The results of methodical calculation on a separate example are in good agreement with the experimental values of electron velocities in a wide range of accelerator voltages.

We present the functional verification efforts for an academic RISC-V based vector accelerator, successfully taped-out in the context of the European Processor Initiative. For our novel RISC-V based decoupled vector accelerator, we built a verification infrastructure consisting of a UVM environment, performing step by step co-simulation of all vector instructions, using the Spike instruction set simulator as a reference model. Furthermore, for validating this complex design connected to a scalar core using a custom interface, we provided automated constrained-random test generation, simulation and error reporting, and CI/CD infrastructure. We found 3005 errors during this process and reached 95.79% functional coverage. This research has received funding from the European High Performance Computing Joint Undertaking (JU) under Framework Partnership Agreement No 800928 (European Processor Initiative) and Specific Grant Agreement No 101036168 (EPI SGA2). The JU receives support from the European Union’s Horizon 2020 research and innovation programme and from Croatia, France, Germany, Greece, Italy, Netherlands, Portugal, Spain, Sweden, and Switzerland. The EPI-SGA2 project, PCI2022-132935 is also co-funded by MCIN/AEI /10.13039/501100011033 and by the UE NextGenerationEU/PRTR.

The absorption profile of the copper K-edge was measured over a 250 eV window using ultrashort X-rays from a laser-plasma wakefield accelerator. For the first time with a femtosecond probe, Extended X-ray Absorption Fine Structure (EXAFS) features were observed in a single shot, detailing the local atomic structure. This unique capability will allow the investigation of novel ultrafast processes, and in particular probing high energy density matter and physics far-from-equilibrium. A perspective on the additional strengths of a laboratory-based ultrafast X-ray absorption source is presented.

Simultaneous Localization And Mapping (SLAM) is crucial for autonomous navigation. ORB-SLAM is a state-of-the-art Visual SLAM system based on cameras used for self-driving cars. In this paper, we propose a high-performance, energy-efficient, and functionally accurate hardware accelerator for ORB-SLAM, focusing on its most time-consuming stage: Oriented FAST and Rotated BRIEF (ORB) feature extraction. The Rotated BRIEF (rBRIEF) descriptor generation is the main bottleneck in ORB computation, as it exhibits highly irregular access patterns to local on-chip memories causing a high-performance penalty due to bank conflicts. We introduce a technique to find an optimal static pattern to perform parallel accesses to banks based on a genetic algorithm. Furthermore, we propose the combination of an rBRIEF pixel duplication cache, selective ports replication, and pipelining to reduce latency without compromising cost. The accelerator achieves a reduction in energy consumption of 14597× and 9609×, with respect to high-end CPU and GPU platforms, respectively. This work has been supported by the CoCoUnit ERC Advanced Grant of the EU’s Horizon 2020 program (grant No 833057), the Spanish State Research Agency (MCIN/AEI) under grant PID2020- 113172RB-I00, the ICREA Academia program and the FPU grant FPU18/04413

U.S. banks countercyclically vary the ratio of charge-offs to defaulted loans (COD) and the standard deviation of COD is roughly 15 times that of GDP. We show that canonical financial accelerator models cannot explain these facts, but introducing stochastic default costs and stochastic risk can potentially resolve the discrepancy. Estimating the augmented model and including both surprise and news shocks reveals that default cost news shocks account for most of the variance of COD. Also, in the many model specifications we work with, default cost news shocks always account for at least 20 percent of the variance of investment, while risk news shocks account for a significant portion of the variation in the credit spread, and around 10 percent of the variation in investment growth. Both news shocks also account for a material amount of the variance of hours and output growth.

研究炉加速器技術部は、JRR-3(Japan Research Reactor No.3)、JRR-4(Japan Research Reactor No.4)、NSRR(Nuclear Safety Research Reactor)の研究炉、タンデム加速器、ラジオアイソトープ製造棟、トリチウムプロセス研究棟及びFEL研究棟を運転管理し、それらを利用に供するとともに関連する技術開発を行っている。本年次報告は令和2年度における当部の実施した運転管理、利用、利用技術の高度化、安全管理、国際協力について業務活動をまとめたものである。さらに、論文、口頭発表一覧、官庁許認可及び業務の実施結果一覧を掲載した。, The Department of Research Reactor and Tandem Accelerator is in charge of the operation, utilization and technical development of JRR-3 (Japan Research Reactor No.3), JRR-4 (Japan Research Reactor No.4), NSRR (Nuclear Safety Research Reactor), Tandem Accelerator, RI Production Facility, TPL (Tritium Process Laboratory) and FEL (Free Electron Laser). This annual report describes the activities of our department in fiscal year of 2020. We carried out the operation and maintenance, utilization, upgrading of utilization techniques, safety administration and international cooperation. Also contained are lists of publications, meetings, granted permissions on laws and regulations concerning atomic energy, outcomes in service and technical developments and so on.

研究炉加速器技術部は、JRR-3 (Japan Research Reactor No.3)、JRR-4 (Japan Research Reactor No.4)、NSRR (Nuclear Safety Research Reactor)の研究炉、タンデム加速器、RI製造棟及びトリチウムプロセス研究棟を運転管理し、それらを利用に供するとともに関連する技術開発を行っている。本年次報告は令和元年度における当部の実施した運転管理、利用、利用技術の高度化、安全 管理、国際協力について業務活動をまとめたものである。さらに、論文、口頭発表一覧、官庁許認可及び業務の実施結果一覧を掲載した。, The Department of Research Reactor and Tandem Accelerator is in charge of the operation, utilization and technical development of JRR-3 (Japan Research Reactor No.3), JRR-4 (Japan Research Reactor No.4), NSRR (Nuclear Safety Research Reactor), Tandem Accelerator, RI Production Facility and TPL(Tritium Process Laboratory). This annual report describes the activities of our department in fiscal year of 2019. We carried out the operation and maintenance, utilization, upgrading of utilization techniques, safety administration and international cooperation. Also contained are lists of publications, meetings, granted permissions on laws and regulations concerning atomic energy, outcomes in service and technical developments and so on.

An electron autoresonant acceleration by the rotating TM110 mode microwave field in an inhomogeneous magnetostatic field is studied. A set of differential equations describing the evolution of the phase shift between the electron angular position and the angle for which the transferred power is maximum, the total electron energy, and the longitudinal electron velocity are obtained. Magnetic field profiles to keep the electron in the acceleration regime are found. The results show that an electron injected along the cavity axis with an energy of 30 keV can be accelerated up to energies about of 200 keV, using an electric field amplitude of 20 kV/cm, a frequency of 8 GHz, and a linear magnetic field profile. Also, we consider the case of electron acceleration in exact resonance conditions. The corresponding magnetic field profile predicted by the model was found. The results presented in this paper can be useful for designing RF accelerators, based on the circular rotating TM110 mode, used in x-ray sources for medical applications or airport security, among others., 11 pages, 16 figures

For plasma-wakefield accelerators to fulfil their potential for cost effectiveness, it is essential that their energy-transfer efficiency be maximized. A key aspect of this efficiency is the near-complete transfer of energy, or depletion, from the driver electrons to the plasma wake. Achieving full depletion is limited by the process of re-acceleration, which occurs when the driver electrons decelerate to non-relativistic energies, slipping backwards into the accelerating phase of the wakefield and being subsequently re-accelerated. Such re-acceleration is observed here for the first time. At this re-acceleration limit, we measure a beam driver depositing (56 $\pm$ 5)% of its energy into a 195-mm-long plasma. Combining this driver-to-plasma efficiency with previously measured plasma-to-beam and expected wall-plug-to-driver efficiencies, our result shows that plasma-wakefield accelerators can in principle reach or even exceed the energy-transfer efficiency of conventional accelerators., 7 pages, 4 figures

The rise of technology-based startups in Indonesia, which has led to an increase in the number of startups and failures due to their inability to grow and generate profits. Business incubators and accelerators are seen as an alternative solution to aid startups in overcoming their challenges. Indigo, an Incubator and Accelerator Program for digital startups owned by PT Telkom Indonesia, offers a complete program to support Indonesia's digital startup ecosystem. This study aims to determine how respondents perceive the variables of Infrastructure, Management Support, Training & Development, Financial Support, Network, Synergy, and Startup Performance so that they can improve the program that is considered insufficient. In addition, this study also aims to determine the effect between the variables of Infrastructure, Management Support, Training & Development, Financial Support, Network, Synergy on Startup Performance. The research method used in this research is descriptive quantitative method with saturated sample sampling technique and the analysis technique used is descriptive analysis and mulativariate SEM PLS.

The rise of technology-based startups in Indonesia, which has led to an increase in the number of startups and failures due to their inability to grow and generate profits. Business incubators and accelerators are seen as an alternative solution to aid startups in overcoming their challenges. Indigo, an Incubator and Accelerator Program for digital startups owned by PT Telkom Indonesia, offers a complete program to support Indonesia's digital startup ecosystem. This study aims to determine how respondents perceive the variables of Infrastructure, Management Support, Training & Development, Financial Support, Network, Synergy, and Startup Performance so that they can improve the program that is considered insufficient. In addition, this study also aims to determine the effect between the variables of Infrastructure, Management Support, Training & Development, Financial Support, Network, Synergy on Startup Performance. The research method used in this research is descriptive quantitative method with saturated sample sampling technique and the analysis technique used is descriptive analysis and mulativariate SEM PLS.

Highly polarized, multi-kiloampere-current electron bunches from compact laser-plasma accelerators are desired for numerous applications. Current proposals to produce these beams suffer from intrinsic limitations to the reproducibility, charge, beam shape and final polarization degree. In this Letter, we propose colliding pulse injection as a technique for the generation of highly polarized electron bunches from pre-polarized plasma sources. Using particle-in-cell simulations, we show that colliding pulse injection enables trapping and precise control over electron spin evolution, resulting in the generation of high-current (multi-kA) electron bunches with high degrees of polarization (up to 95 % for > 2 kA). Bayesian optimization is employed to optimize the multidimensional parameter space associated with colliding pulse injection to obtain percent-level energy spread, sub-micron normalized emittance electron bunches with 90 % polarization using 100-TW class laser systems., 5 pages, 4 figures

In this study, we developed a neutron time-of-flight (nTOF) measurement system for a 1.7-MV tandem proton accelerator with a target covered with 300-nm-thick lithium (Li) layer. With implementation of beam chopping module after its ion source, the accelerator is configured to operate in pulsed-beam mode with a pulse width

Optimization of accelerator performance parameters is limited by numerous trade-offs and finding the appropriate balance between optimization goals for an unknown system is challenging to achieve. Here we show that multi-objective Bayesian optimization can map the solution space of a laser wakefield accelerator in a very sample-efficient way. Using a Gaussian mixture model, we isolate contributions related to an electron bunch at a certain energy and we observe that there exists a wide range of Pareto-optimal solutions that trade beam energy versus charge at similar laser-to-beam efficiency. However, many applications such as light sources require particle beams at a certain target energy. Once such a constraint is introduced we observe a direct trade-off between energy spread and accelerator efficiency. We furthermore demonstrate how specific solutions can be exploited using \emph{a posteriori} scalarization of the objectives, thereby efficiently splitting the exploration and exploitation phases.

We explore the regime of operation of the modulator stage of a recently proposed laser-plasma accelerator scheme [Phys. Rev. Lett. 127, 184801 (2021)], dubbed the Plasma-Modulated Plasma Accelerator (P-MoPA). The P-MoPA scheme offers a potential route to high-repetition-rate, GeV-scale plasma accelerators driven by picosecond-duration laser pulses from, for example, kilohertz thin-disk lasers. The first stage of the P-MoPA scheme is a plasma modulator in which a long, high-energy 'drive' pulse is spectrally modulated by co-propagating in a plasma channel with the low-amplitude plasma wave driven by a short, low-energy 'seed' pulse. The spectrally modulated drive pulse is converted to a train of short pulses, by introducing dispersion, which can resonantly drive a large wakefield in a subsequent accelerator stage with the same on-axis plasma density as the modulator. In this paper we derive the 3D analytic theory for the evolution of the drive pulse in the plasma modulator and show that the spectral modulation is independent of transverse coordinate, which is ideal for compression into a pulse train. We then identify a transverse mode instability (TMI), similar to the TMI observed in optical fiber lasers, which sets limits on the energy of the drive pulse for a given set of laser-plasma parameters. We compare this analytic theory with particle-in-cell (PIC) simulations and find that even higher energy drive pulses can be modulated than those demonstrated in the original proposal., 8 pages, 5 figures plus supplementary materials

This recounting of the history of the last three-and-a-half decades of advanced accelerator concepts is offered from a decidedly parochial point of view -- that of the career of the author, Prof. James Rosenzweig of the UCLA Dept. of Physics and Astronomy. This short voyage through a by-now long career will illustrate the very beginning of the compelling field of advanced accelerators, proceed through their maturation into one of the fastest growing areas of beam-based science, and give a look into their emerging importance in applications. An important aspect of advanced accelerators is their relationship to other burgeoning fields, particularly free-electron lasers. The framework of this retelling lends itself particularly well to illustrating this relationship. Likewise, this quick summary serves to demonstrate the essential team nature of our field, and the contributions of participants from all levels, ranging from students to those scientists whose careers may have developed in previous eras of positive ferment in accelerator science., Submitted to Proceedings of Advanced Accelerator Concepts 2022

International audience; The caesiated surface negative ion source is the first element of CERN's LINAC4 a linear injector designed to accelerate negative hydrogen ions to 160 MeV. The IS03 ion source is operated at 35 mA beam intensity and reliably feeds CERN's accelerator chain, H- ions are generated via plasma volume and caesiated molybdenum plasma electrode surface mechanisms. Studying the beam extraction region of this H- ion source is essential for optimizing the H- production. The 3D Particle-in-cell Monte Carlo code ONIX (Orsay Negative Ion eXtraction), written to study H- beam formation processes in neutral injectors for fusion, has been adapted to single aperture accelerator H- sources. The code was modified to match the conditions of the beam formation and extraction regions of the Linac4 H- source. A set of parameters was chosen to characterize the plasma and to match the specific volume and surface production modes. Simulated results of the extraction regions are presented and benchmarked with experimental results obtained at the Linac4 test stand.

Free-electron lasers generate high-brilliance coherent radiation at wavelengths spanning from the infrared to the X-ray domains. The recent development of short-wavelength seeded free-electron lasers now allows for unprecedented levels of control on longitudinal coherence[1], opening new scientific avenues as ultra-fast dynamics on complex systems and X-ray nonlinear optics. While those devices rely on state-of-the-art large-scale accelerators, advancements on laser-plasma accelerators, which harness giga-volt-per-centimeter accelerating fields, showcase a promising technology as compact drivers for free-electron lasers. Using such miniaturized accelerators, exponential amplification of a shot-noise type of radiation in a self-amplified spontaneous emission configuration was recently achieved [2]. However, employing this compact approach for the delivery of temporally coherent pulses in a controlled manner remained a major challenge. Here, we present the experimental demonstration of a laser-plasma accelerator driven free-electron laser in a seeded configuration, where control over the radiation wavelength is accomplished. Furthermore, the appearance of interference fringes, resulting from the interaction between the phase-locked emitted radiation and the seed, confirms longitudinal coherence. Building on our scientific achievements, we anticipate a straightforward scaling to extreme-ultraviolet wavelengths, paving the way towards university-scale free-electron lasers, unique tools for a multitude of applications. [1] Meyer, M. FELs of europe: Whitebook on science with free electron lasers 8–19 (2016). [2] Wang, W. et al. Free-electron lasing at 27 nanometres based on a laser wakefield accelerator.

Bei Corporate Innovation handelt es sich um ein vielschichtiges Thema, das wesentlich für den langfristigen Erfolg von Unternehmen ist. Eine Methode zur Umsetzung von Innovation innerhalb etablierter Unternehmen stellt Corporate Venturing dar. Darunter werden sämtliche Aktivitäten eines etablierten Unternehmens verstanden, bei dem in neue Unternehmungen innerhalb oder außerhalb des Unternehmens investiert oder solche gegründet werden. Eine Umsetzung erweist sich jedoch trotz des Einsatzes von Innovationsprozessen nach wie vor als schwierig. Ein Corporate Accelerator stellt ein Modell dar, das die Herausforderungen im Zusammenhang mit Corporate Innovation verbessern soll. Dieses Modell von Corporate Venturing dient als Vermittler zwischen etablierten Unternehmen und jungen, innovativen Unternehmen. Das Beste aus zwei Welten soll damit verknüpft werden: die vorhandenen Ressourcen von etablierten Unternehmen mit der Innovationskraft von Jungunternehmen. Das Ziel ist eine beschleunigte Entwicklung der Unternehmungen aufgrund des verfügbaren Know-Hows und Unternehmensressourcen. Damit soll sowohl für die Unternehmung als auch für das etablierte Unternehmen ein Mehrwert generiert werden. Innerhalb der Organisationseinheit können innovationsförderliche Rahmenbedingungen etabliert sowie Prozesse und Ansätze verfolgt werden, die auf die Zusammenarbeit mit jungen Unternehmungen zugeschnitten sind und innerhalb eines etablierten Unternehmens nur schwer umzusetzen wären. Abhängig vom definierten Ziel und des konkreten Einsatzes ist ein Corporate Accelerator entsprechend fokussiert auszugestalten. Dies erfolgt anhand einer Konfiguration relevanter Variablen wie etwa die Dauer, dem inhaltlichen Fokus oder dem gewünschten Stadium der Unternehmungen. Trotz einer Erleichterung der Umsetzung von Corporate Innovation sind Corporate Accelerator nicht ohne Limitationen und Herausforderungen. Die größte Hürde liegt insbesondere im Falle einer Rückintegration in der Sicherstellung des Mehrwerts für das etablierte Unternehmen. Die Vorteile wie auch die damit verbundenen Herausforderungen von Corporate Accelerator sind bei einer Entscheidung gut abzuwägen. Unternehmen müssen auf Basis der Innovationsstrategie, der definierten Ziele sowie nicht zuletzt aufgrund der eigenen Innovationskompetenz im Einzelfall entscheiden, ob das Modell eines Corporate Accelerator Programms passend ist. Corporate innovation is a complex topic, and yet essential for the long-term success of companies. One method of implementing innovation within established companies is corporate venturing. This includes all activities of an established company in which investments are made in new ventures inside or outside the company or in which such ventures are founded. However, de-spite the use of innovation processes, implementation still proves to be difficult. A corporate accelerator represents a model aiming to improve the challenges associated with corporate innovation. This model of corporate venturing serves as an intermediary between established companies and young, innovative start-ups. It aims to combine the best of both worlds: the existing resources of established companies with the innovative power of young companies. The aim is to accelerate the development of the companies based on the available know-how and company resources. This is to generate added value for both, the enterprise and the established company. Within the organisational unit, innovation-promoting framework conditions can be established. Processes and approaches, tailored to the cooperation with young enterprises, can be pursued which would be difficult to implement within an established company. Depending on the defined goal and the specific application, a corporate accelerator must be designed with a corresponding focus. This can be achieved by configuring relevant variables such as the duration, the content focus, or the desired stage of the ventures. Despite facilitating the implementation of corporate innovation, corporate accelerators pose certain limitations and challenges. The biggest hurdle, especially in the case of back-integration, is ensuring added value for the incumbent. The advantages as well as the associated challenges of corporate accelerators must be weighed carefully. Companies must decide whether the model of a corporate accelerator programme is suitable based on the innovation strategy, the defined goals and, not least, their own innovation competence. Verfasser: Alexander Petschar Abweichender Titel laut Übersetzung der Verfasserin/des Verfassers Masterarbeit FH JOANNEUM 2023

Unforeseen particle accelerator interruptions, also known as interlocks, lead to abrupt operational changes despite being necessary safety measures. These may result in substantial loss of beam time and perhaps even equipment damage. We propose a simple yet powerful binary classification model aiming to forecast such interruptions, in the case of the High Intensity Proton Accelerator complex at the Paul Scherrer Institut. The model is formulated as logistic regression penalized by least absolute shrinkage and selection operator, based on a statistical two sample test to distinguish between unstable and stable states of the accelerator. The primary objective for receiving alarms prior to interlocks is to allow for countermeasures and reduce beam time loss. Hence, a continuous evaluation metric is developed to measure the saved beam time in any period, given the assumption that interlocks could be circumvented by reducing the beam current. The best-performing interlock-to-stable classifier can potentially increase the beam time by around 5 min in a day. Possible instrumentation for fast adjustment of the beam current is also listed and discussed., Comment: 12 pages, 13 figures

The European Workshop on Photocathodes for (particle) Accelerator Applications (EWPAA) brings together experts in the field of photocathode based electron sources for use in particle accelerators, with the aim of sharing their knowledge and latest research and development progress in this crucial field of particle accelerator science. The workshop is convened every other year, and is thus complementary to the P3 workshop (Photocathode Physics for Particle accelerators) run in the USA. Consequently, there is a workshop focusing on photocathodes for particle accelerator applications convened every year, either in Europe or the USA. The EWPAA 2022 is the 4th meeting in this workshop series. The event was hosted by the INFN LASA Institute in Milan in collaboration with University of Milano between September 20th and 22nd. The programme was organised with 7 working groups, with each oral contribution assigned to the most appropriate group. This report presents, summarised by the work group conveners, the innovative ideas, the challenges and the main points raised by each of the speakers., Comment: 11 pages, 1 figure Workshop website: https://agenda.infn.it/event/ewpaa2022

The armature is an important part affecting the energy conversion efficiency of a reluctance accelerator. In this paper, six kinds of soft magnetic materials are chosen and four structures are designed for the armature. At first, the circuit and magnetic force are theoretically analyzed. Then the armatures with different materials and structures are used in the simulation, and the performances are compared and analyzed. At last, the experiment verifies the theory analysis and simulation design. It is concluded that the saturation flux density and conductivity of the material are the key factors affecting the armature force, and the optimization of armature structure can effectively restrain the eddy current, reduce negative force and improve efficiency. Compared with cutting slits in solid armatures, laminating the sheets radially can reduce the eddy current more efficiently. Although slitting can prevent the eddy current to a certain extent, meanwhile, it will decrease the magnetic force because of the losing of magnetized volume and the surface area. Hence, choosing the high saturation flux density material and making out the armature with radially_laminated sheets will improve the efficiency of the reluctance accelerator. In this paper, the silicon steel radially_laminated armature is a better choice for the armature design of the reluctance accelerator.

This paper proposes an effective hardware accelerator for 2D $8\times 8$ discrete cosine transform (DCT) and inverse discrete cosine transform (IDCT) using an improved Loeffler architecture. The accelerator optimizes the data stream of the Loeffler 8-point 1D DCT/IDCT according to the characteristics of image and video processing. An 8-stage pipeline structure greatly improves the processing speed by reasonably dividing the number of clock cycles and simplifying the arithmetic operations in each cycle. The multiplication-free approximation of the DCT coefficients is implemented through adders and shifters, combined with both fixed-point and canonic signed digit (CSD) coding. In particular, the proposed fast parallel transposed matrix architecture achieves the function of row-column coefficient conversion with lower circuit complexity. The FPGA implementation of the proposed architecture uses a Virtex-7 XC7VX330T device, running at 288 MHz with a throughput of 558 M Pixel/sec, and a Full HD real-time frame rate of up to 269 fps. Only 33 cycles are required to complete the $8\times 8$ blocks of 2D DCT/IDCT, which can be used as a high-performance hardware accelerator for image and video compression encoding.

With recent development in internet speed and reliability, cloud computing has become a more reliable solution for the user. In many cases where data privacy is critical, fully homomorphic encryption (FHE) can be a security solution for securing cloud computing. FHE enables computation on encrypted data, hence it ensures data privacy in case of cloud computing. One popular scheme of FHE is the BFV homomorphic encryption scheme, which is based on ring learning with error (RLWE) computation. The BFV scheme uses ring polynomials as the main object, hence its encryption, decryption, and evaluation require high-degree polynomial multiplication. In this paper, we present comprehensive design and implementation of a hardware architecture to accelerate encryption and decryption in BFV scheme. Our accelerator uses convolution approach for calculating a polynomial multiplication. To implement the convolution, we use a systolic array to calculate polynomial convolution followed by a simple delayed subtraction to calculate polynomial modulo reduction inside our accelerator’s core. Moreover, we use a built-in Gaussian pseudo-random number generator (PRNG) to generate Gaussian noise in the encryption operations. Finally, we implement the 1024 degrees BFV accelerator on the Xilinx PYNQ Z1 board and compare the encryption and decryption performances to other methods as well as a software implementation on Intel Core i7 with 8GB memory. Experimental results show that our accelerator outperforms the clock cycles of other methods with the same polynomial degrees 1024 up to $22\times $ . Moreover, our proposed Gaussian PRNG has better $2\times $ correlation compared to the rotation-only-based PRNG. Finally, our accelerator accelerates up to $9\times $ for encryption and $3.5\times $ for decryption as well as $6.8\times $ for overall compared to Microsoft SEAL on Intel Core i7 processor with 8GB memory. The proposed design is scalable for higher degrees polynomial multiplication and useful for security technology such as high-speed secure cloud computing, blind computing, and secure communication.

The secure hash algorithm 2 (SHA-2) family, including the SHA-224/256/384/512 hash functions, is widely adopted in many modern domains, ranging from Internet of Things devices to cryptocurrency. SHA-2 functions are often implemented on hardware to optimize performance and power. In addition to the high-performance and low-cost requirements, the hardware for SHA-2 must be highly flexible for many applications. This paper proposes an SHA-2 hardware architecture named the multimode SHA-2 accelerator (MSA), which has high performance and flexibility at the system-on-chip level. To achieve high performance and flexibility, our accelerator applies three optimal techniques. First, a multimode processing element architecture is proposed to enable the accelerator to compute various SHA-2 functions for many applications. Second, a three-stage arithmetic logic unit pipeline architecture is proposed to reduce the critical paths and hardware resources. Finally, nonce generator and nonce validator architectures are proposed to reduce memory access and maximize the performance of the proposed MSA for blockchain mining applications. The MSA accuracy is tested on a real hardware platform (the Xilinx Alveo U280 FPGA). The experimental results on the field programmable gate array (FPGA) prove that the proposed MSA achieves significantly better performance, hardware efficiency, and flexibility than previous works. The evaluation results for energy efficiency show that the proposed MSA achieves up to 38.05 Mhps/W, which is 543.6 and 29 times better than the state-of-the-art Intel i9-10940X CPU and RTX 3090 GPU, respectively.

Electromagnetic processes of charged particles interaction with oriented crystals provide a wide variety of innovative applications such as beam steering, crystal-based extraction/collimation of leptons and hadrons in an accelerator, a fixed-target experiment on magnetic and electric dipole moment measurement, X-ray and gamma radiation source for radiotherapy and nuclear physics and a positron source for lepton and muon colliders, a compact crystalline calorimeter as well as plasma acceleration in the crystal media. One of the main challenges is to develop an up-to-date, universal and fast simulation tool to simulate these applications. We present a new simulation model of electromagnetic processes in oriented crystals implemented into Geant4, which is a toolkit for the simulation of the passage of particles through matter. We validate the model with the experimental data as well as discuss the advantages and perspectives of this model for the applications of oriented crystals mentioned above., 18 pages, 9 figures

The alkali-free accelerator based on aluminum sulfate is widely used in shotcrete in tunnels. Long-term Ca-leaching of shotcrete may adversely affect the tunnels in a water-rich mountain. It is necessary to examine further the impact of the AS accelerator and w/c on cement hydration and leaching. In this study, all the cement pastes were cured in the environment with R.H. > 95% and 20 ± 1 °C for 60 days and leached in a running water test with 6 M NH4Cl at 1 cm/s. The hydration kinetics was characterized by isothermal calorimetry. Additionally, the microstructural and mineralogical alterations were characterized by XRD, SEM, MIP, and N2 absorption. The results show that (1) the AS accelerator affected the hydration kinetics of cement by stimulating early hydration and delaying the late silicate hydration, resulting in AS-accelerated cement pastes with rougher pore structure. As a result, the higher the dose of AS accelerator, the faster the cement pastes will leach. (2) Hydration kinetics of the accelerated cement are not affected by the w/c. The AS-accelerated cement pastes with lower w/c have a denser pore structure. So, the reduction in the w/c contributes to leaching resistance.

U ovom radu se opisuje i testira jednostavan algoritam za simulaciju rada linearnog akceleratora Alvarezove strukture. Algoritam, uz nekoliko aproksimacija, uspješno simulira rad akceleratora te daje rezultate vrlo slične stvarnima. Simulacije su bitne u fizici jer omogućavaju rješavanje problema za koje ne postoje analitička rješenja, već samo numerička. Ovaj algoritam ne koristi unaprijed definiran akcelerator, već sam odredi kakav akcelerator bi bio optimalan za ubrzavanje zadanih čestica sa zadanim početnim uvjetima. Na kraju rada je uspješno sastavljen DTL dio CERN-ovog Linac4 akceleratora, čije dimenzije su vrlo slične stvarnima te se time pokazuje moguća direktna primjena ovakvog algoritma. Uz daljnji razvoj algoritma i korištenje realnijih elektromagnetskih polja, algoritam bi se mogao koristiti za konstrukciju pravih linearnih akceleratora Alvarezove strukture te za provedbu vrlo preciznih eksperimenata bez potrebe za korištenjem skupe opreme., The subject of this thesis is the description and subsequent testing of a simple algorithm for simulating an Alvarez type linear accelerator. The algorithm, with a few approximations, successfully simulates the working of accelerators and gives results which are very similar to those of real accelerators. Simulations are important in physics because they enable us to solve problems which don’t have analytic solutions, but only numerical ones. This algorithm doesn’t use a predefined accelerator, but it instead determines what kind of accelerator would be optimal for accelerating given particles with the given starting conditions. In the end of the thesis the DTL part of CERN’s Linac4 accelerator is successfully constructed with dimensions which are very close to the actual ones which demonstrates the possibility of a direct application of this kind of algorithm. With further development of the algorithm, and the use of more realistic electromagnetic fields, the algorithm could be used for the construction of actual linear accelerators of Alvarez type and for carrying out very precise experiments without the need of expensive equipment.

Tiny machine learning (TinyML) has become an emerging field according to the rapid growth in the area of the internet of things (IoT). However, most deep learning algorithms are too complex, require a lot of memory to store data, and consume an enormous amount of energy for calculation/data movement; therefore, the algorithms are not suitable for IoT devices such as various sensors and imaging systems. Furthermore, typical hardware accelerators cannot be embedded in these resource-constrained edge devices, and they are difficult to drive real-time inference processing as well. To perform the real-time processing on these battery-operated devices, deep learning models should be compact and hardware-optimized, and hardware accelerator designs also have to be lightweight and consume extremely low energy. Therefore, we present an optimized network model through model simplification and compression for the hardware to be implemented, and propose a hardware architecture for a lightweight and energy-efficient deep learning accelerator. The experimental results demonstrate that our optimized model successfully performs object detection, and the proposed hardware design achieves 1.25× and 4.27× smaller logic and BRAM size, respectively, and its energy consumption is approximately 10.37× lower than previous similar works with 43.95 fps as a real-time process under an operating frequency of 100 MHz on a Xilinx ZC702 FPGA.

This article presents a throughput/area accelerator for elliptic-curve point multiplication over GF(2571). To optimize the throughput, we proposed an efficient hardware accelerator architecture for a fully recursive Karatsuba multiplier to perform polynomial multiplications in one clock cycle. To minimize the hardware resources, we have utilized the proposed Karatsuba multiplier for modular square implementations. Moreover, the Itoh-Tsujii algorithm for modular inverse computation is operated using multiplier resources. These strategies permit us to reduce the hardware resources of our implemented accelerator over a large field size of 571 bits. A controller is implemented to provide control functionalities. Our throughput/area accelerator is implemented in Verilog HDL using the Vivado IDE tool. The results after the place-and-route are given on Xilinx Virtex-6 and Virtex-7 devices. The utilized slices on Virtex-6 and Virtex-7 devices are 6107 and 5683, respectively. For the same FPGA devices, our accelerator can operate at a maximum of 319 MHz and 361 MHz. The latency values for Virtex-6 and Virtex-7 devices are 28.73 μs and 25.38 μs. The comparison to the state-of-the-art shows that the proposed architecture outperforms in throughput/area values. Thus, our accelerator architecture is suitable for cryptographic applications that demand a throughput and area simultaneously.

The Applied Nuclear Physics Group at Lund University has constructed a CANS (Compact Accelerator-driven Neutron Source). The CANS is based around a 3 MV, single-ended, Pelletron accelerator, which is used to impinge a 2.8 MeV deuterium beam into a beryllium target. The anticipated neutron production will be on the order of 1010 n/s in 4π sr, with future upgrades expected to increase neutron production to 1011 n/s. Neutron energy will be up to 9 MeV with peak emission at ∼5 MeV. Shielding and moderation will be provided by a large water tank surrounding the target, with exit ports to allow moderated neutrons to be directed to experiments. The thermal-neutron flux at the exit of the extraction ports is anticipated to be up to 106 n/cm2/s. The CANS will be used to forward the activities of the group in the area of neutron-activation analysis, in addition to a broader range of neutron related applications.

Laser Wakefield Accelerators are now sufficiently mature to provide GeV scale/high-brightness electron beams capable of driving Free Electron Laser (FEL) sources. Here, we show start-to-end simulations carried out in the framework of the EuPRAXIA project of a Free Electron Laser driven by an LWFA accelerator in the Resonant Multi-Pulse Ionisation Injection (ReMPI) framework. Simulations with this model using a 1 PW Ti:Sa laser system and a 20 cm long capillary, show the injection and acceleration of an electron beam up to 4.5 GeV, with a slice energy spread and a normalized emittance below $4\times 10^{-4}$ and 80 $nm \times rad$, respectively. The transport of the beams from the capillary exit to the undulator is provided by a matched beam focusing with a marginal beam-quality degradation. Finally, 3D simulations of the FEL radiation generated inside an undulator show that $\approx 10^{10}$ photons with central wavelength of $0.15\, nm$ and peak power of $\simeq 0.3\, GW$ can be produced for each bunch. Our start-to-end simulations indicate that a single-stage ReMPI accelerator can drive a high-brightness electron beam having quality large enough to be efficiently transported to a FEL undulator, thus generating X-ray photons of brilliance exceeding $10^{25} ph/s/mm^2/0.1\%bw$

Muons have established a unique and pivotal role in both fundamental physics and applied sciences. Given that a typical muon experiment spans roughly ten muon lifetimes, the optimal muon source should operate at around 50\,kHz in pulsed mode. However, existing muon facilities operate in either the 25-50\,Hz pulsed mode or continuous beam (DC) mode, which results in low-duty cycles for various muon experiments. As a result, precision muon physics with continuous muon beam has been limited by statistical uncertainty. In this study, we investigate the potential of a high-repetition-rate pulsed electron beam at the Shanghai SHINE facility to serve as a muon source driver. SHINE houses an 8-GeV CW superconducting RF linac, with a 1\,MHz bunch rate and 100\,pC bunch charge. Following X-ray production, the electron beam is deflected downstream of the undulators and absorbed in a beam dump. Using Geant4 Monte Carlo simulations, we estimated the yield of the muon beam to be approximately $10^{3}\mu^{\pm}$/bunch. This type of muon beam could be instrumental in a broad range of muon experiments, including muon lifetime measurement, a search for muonium to anti-muonium conversion, and the muon spin spectroscopy., Comment: 11 pages, 7 figures, 14th International Particle Accelerator Conference (IPAC'23)

Providing accurate uncertainty estimations is essential for producing reliable machine learning models, especially in safety-critical applications such as accelerator systems. Gaussian process models are generally regarded as the gold standard method for this task, but they can struggle with large, high-dimensional datasets. Combining deep neural networks with Gaussian process approximation techniques have shown promising results, but dimensionality reduction through standard deep neural network layers is not guaranteed to maintain the distance information necessary for Gaussian process models. We build on previous work by comparing the use of the singular value decomposition against a spectral-normalized dense layer as a feature extractor for a deep neural Gaussian process approximation model and apply it to a capacitance prediction problem for the High Voltage Converter Modulators in the Oak Ridge Spallation Neutron Source. Our model shows improved distance preservation and predicts in-distribution capacitance values with less than 1% error.