- Particle accelerators and beam dynamics
- Particle Accelerators and Free-Electron Lasers
- Superconducting Materials and Applications
- Neutrino Physics Research
- Gyrotron and Vacuum Electronics Research
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Astrophysics and Cosmic Phenomena
- Distributed and Parallel Computing Systems
- Nuclear reactor physics and engineering
- Magnetic confinement fusion research
- Nuclear Physics and Applications
- Advanced Data Storage Technologies
- Radiation Therapy and Dosimetry
- Plasma Diagnostics and Applications
- Probabilistic and Robust Engineering Design
- Dark Matter and Cosmic Phenomena
- Advanced Multi-Objective Optimization Algorithms
- Parallel Computing and Optimization Techniques
- Electromagnetic Simulation and Numerical Methods
- Photocathodes and Microchannel Plates
- Advanced Numerical Methods in Computational Mathematics
- Computational Physics and Python Applications
- Radiation Detection and Scintillator Technologies
- Nuclear Materials and Properties
Paul Scherrer Institute
2015-2024
ETH Zurich
2013-2023
University of Pisa
2022
Shanghai Jiao Tong University
2022
European Organization for Nuclear Research
2022
Istituto Nazionale di Fisica Nucleare, Sezione di Pisa
2022
Johannes Gutenberg University Mainz
2022
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
2021
Illinois Institute of Technology
2013-2019
Campbell Collaboration
2016
Journal Article Recurrences of Clostridium difficile Diarrhea Not Caused by the Original Infecting Organism Get access Stuart Johnson, Johnson Infectious Disease Section, Department Medicine, and Microbiology Laboratory Service, Veterans Administration Medical Center, Minneapolis, Minnesota Please address requests for reprints to Dr. Section/111F, 1 Drive, 55417. Search other works this author on: Oxford Academic PubMed Google Scholar Annette Adelmann, Adelmann Connie R. Clabots, Clabots...
High-fidelity physics simulations are powerful tools in the design and optimization of charged particle accelerators. However, computational burden these often limits their use practice for experiment planning. It also precludes as on-line models tied directly to accelerator operation. We introduce an approach based on machine learning create nonlinear, fast-executing surrogate that informed by a sparse sampling simulation. The $\mathcal{O}({10}^{6})--\mathcal{O}({10}^{7})$ times more...
This paper introduces a novel, high-intensity source of electron antineutrinos from the production and subsequent decay 8Li. When paired with an existing ~1 kton scintillator-based detector, this <E_\nu>=6.4 MeV opens wide range possible searches for beyond standard model physics via studies inverse beta interaction. In particular, experimental design described here has unprecedented sensitivity to antineutrino disappearance at $\Delta m^2\sim$ 1 eV$^2$ features ability distinguish between...
The computational cost for high energy physics detector simulation in future experimental facilities is going to exceed the current available resources. To overcome this challenge, new ideas on surrogate models using machine learning methods are being explored replace computationally expensive components. Additionally, differentiable programming has been proposed as a complementary approach, providing controllable and scalable routines. In document, ongoing efforts differential applied...
Using a cyclotron-based model problem, we demonstrate for the first time applicability and usefulness of an uncertainty quantification (UQ) approach in order to construct surrogate models. The quantities, example, emittance, energy spread, or halo parameter, can be used global sensitivity along with error propagation analysis. problem is chosen such that it represents template general high-intensity particle accelerator modeling tasks. presented UQ then demonstrated on ongoing research...
This letter of intent proposes an experiment to search for electric dipole moment the muon based on frozen-spin technique. We intend exploit high field, $E=1{\rm GV/m}$, experienced in rest frame with a momentum $p=125 {\rm MeV/}c$ when passing through large magnetic field $|\vec{B}|=3{\rm T}$. Current fluxes at $μ$E1 beam line permit improved sensitivity $σ(d_μ)\leq 6\times10^{-23}e{\rm cm}$, about three orders magnitude more than current upper limit $|d_μ|\leq1.8\times10^{-19}e{\rm...
Space-charge effects, being one of the most significant collective play an important role in high intensity cyclotrons. However, for cyclotrons with small turn separation, other existing effects are equal importance. Interactions radially neighboring bunches also present, but their combined have not yet been investigated any great detail. In this paper, a new particle cell-based self-consistent numerical simulation model is presented first time. The covers bunch and implemented...
Particle accelerators are complex facilities that produce large amounts of structured data and have clear optimization goals as well precisely defined control requirements. As such they naturally amenable to data-driven research methodologies. The from sensors monitors inside the accelerator form multivariate time series. With fast preemptive approaches being highly preferred in diagnostics, application series forecasting methods is particularly promising. This review formulates problem...
This conceptual design report describes the technical facility for IsoDAR electron-antineutrino source at KamLAND. The will allow an impressive program of neutrino oscillation and electroweak physics to be performed provides information on case, subsystems, alternative designs considered, specifics installation KamLAND, identified needs future development. We discuss risks we have our approach mitigating those with this design. A substantial portion is based three years experimental efforts...
Atmospheric aerosols have a major influence on the earth’s climate and public health. Hence, studying their properties recovering them from light scattering measurements is of great importance. State art retrieval methods such as pre-computed look-up tables iterative, physics-based algorithms can suffer either accuracy or speed limitations. These limitations are becoming increasingly restrictive instrumentation technology advances measurement complexity increases. Machine learning offer new...
PSI operates a cyclotron based high intensity proton accelerator routinely at an average beam power of 1.3MW. With this the facility is worldwide forefront accelerators. The current practically limited by losses extraction and resulting activation components. Further upgrades new projects aiming even higher power, are only possible if relative can be lowered in proportion, thus keeping absolute constant level. Maintaining levels allowing hands-on maintenance primary challenge any machine...
Many sophisticated computer models have been developed to understand the behaviour of particle accelerators. Even these complex often do not describe measured data. Interactions beam with external fields, other particles in same and walls all present modelling challenges. These can be challenging model correctly even modern supercomputers. This paper describes OPAL (Object Oriented Parallel Accelerator Library), a parallel open source tool for charged-particle optics linear accelerators...
We present the concept of a compact storage ring less than 0.5 m orbit radius to search for electric dipole moment muon (d µ ) by adapting "frozen spin" method.At existing facilities statistics limited sensitivity d ∼ 5 × 10 -23 e cm can be achieved within one year data taking.Reaching this precision would demonstrate viability novel technique directly charged particle EDMs and already test number Standard Model extensions.At future, high-power facility statistical reach -25 seems realistic...
The beam interruptions (interlocks) of particle accelerators, despite being necessary safety measures, lead to abrupt operational changes and a substantial loss time. A novel time series classification approach is applied decrease in the High-Intensity Proton Accelerator complex by forecasting interlock events. performed through binary windows multivariate series. are transformed into Recurrence Plots which then classified Convolutional Neural Network, not only captures inner structure but...
Background Previous research studies have demonstrated that medical content image retrieval can play an important role by assisting dermatologists in skin lesion diagnosis. However, current state-of-the-art approaches not been adopted routine consultation, partly due to the lack of interpretability limiting trust clinical users. Objective This study developed a new architecture for polarized or dermoscopic imaging guided interpretable saliency maps. approach provides better feature...
This whitepaper reviews design options for the IsoDAR electron antineutrino source. is designed to produce $2.6 \times 10^{22}$ antineutrinos per year with an average energy of 6.4 MeV, using isotope decay-at-rest. Aspects which must be balanced cost-effectiveness include: overall cost; rate and distribution flux backgrounds; low technical risk; compactness; simplicity underground construction operation; reliability; value future neutrino physics programs; industry. We show that baseline...
This whitepaper describes the status of DAEdALUS program for development high power cyclotrons as time final meeting Division Particles and Fields 2013 Community Study ("Snowmass"). We report several new results, including a measurement capability between 4 12 degrees on CP violating parameter in neutrino sector. Past IsoDAR Dm^2 antielectron disappearance search, are reviewed. A discussion R&D successes, construction beamline teststand, future plans provided. text incorporates short...
During the conceptual design of an accelerator or beamline, first-order beam dynamics models are essential for studying properties. However, they can only produce approximate results. commissioning, these results compared to measurements, which will rarely coincide if model does not include relevant physics. It is therefore that this linear extended higher-order effects. In paper, effects particle-matter interaction have been included in transport lines proton therapy facility at Paul...
We propose a sparse grid-based adaptive noise reduction strategy for electrostatic particle-in-cell (PIC) simulations. By projecting the charge density onto grids we reduce high-frequency particle noise. Thus, exploit ability of to act as multidimensional low-pass filter in our approach. Thanks truncated combination technique [1], [2], [3], can larger error standard grid approach non-aligned and non-smooth functions. The also provides natural framework minimizing sum particle-based errors...
Abstract There is great need for high intensity proton beams from compact particle accelerators in physics, medical isotope production, and materials- energy-research. To address this need, we present, the first time, a design isochronous cyclotron that will be able to deliver 10 mA of 60 MeV protons—an order magnitude higher than on-market cyclotrons factor four research machines. A key breakthrough vortex motion incorporated cyclotron, leading clean extraction. Beam losses on septa...
Abstract IsoDAR@Yemilab is a novel isotope-decay-at-rest experiment that has preliminary approval to run at the Yemi underground laboratory (Yemilab) in Jeongseon-gun, South Korea. Here, we describe detail considerations for installing this compact particle accelerator and neutrino target system Yemilab facility. Specifically, caverns being prepared IsoDAR, address installation, shielding, utilities requirements. To give context completeness, also briefly physics opportunities of IsoDAR...