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Training for telerobotic systems often makes heavy use of simulated platforms, which ensure safe operation during the learning process. Outer space is one domain in which such a simulated training platform would be useful, as On-Orbit…

Human-Computer Interaction · Computer Science 2020-06-23 Daniel Freer , Yao Guo , Fani Deligianni , Guang-Zhong Yang

PSI operates a cyclotron based high intensity proton accelerator routinely at an average beam power of 1.3MW. With this power the facility is at the worldwide forefront of high intensity proton accelerators. The beam current is practically…

Accelerator Physics · Physics 2015-03-17 Y. J. Bi , A. Adelmann , R. Dölling , M. Humbel , W. Joho , M. Seidel , T. J. Zhang

Slow positrons are increasingly important to the study of material surfaces. For these kinds of studies, the positrons must have low emittance and relatively high brightness. Unfortunately, fast positron sources like radioactive capsules or…

Accelerator Physics · Physics 2025-08-12 Sophie Crisp , Ryland Goldman , Arif Ismail , Spencer Gessner

Tissue tracking plays a critical role in various surgical navigation and extended reality (XR) applications. While current methods trained on large synthetic datasets achieve high tracking accuracy and generalize well to endoscopic scenes,…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Mert Asim Karaoglu , Wenbo Ji , Ahmed Abbas , Nassir Navab , Benjamin Busam , Alexander Ladikos

A typical goal of a quantum simulation is to find the energy levels and eigenstates of a given Hamiltonian. This can be realized by adiabatically varying the system control parameters to steer an initial eigenstate into the eigenstate of…

Quantum Physics · Physics 2021-01-04 Gian Salis , Nikolaj Moll , Marco Roth , Marc Ganzhorn , Stefan Filipp

We propose a novel angular velocity estimation method to increase the robustness of Simultaneous Localization And Mapping (SLAM) algorithms against gyroscope saturations induced by aggressive motions. Field robotics expose robots to various…

Technological advancements in generation of ultrafast and intense laser pulses have enabled the real-time observation and control of charge migration in molecules on their natural timescale, which ranges from few femtoseconds to several…

Optics · Physics 2025-02-25 Sucharita Giri

In a staged, beam-driven, plasma wakefield accelerator, electrons are accelerated in a sequence of plasma stages, each powered by a driver electron bunch. Between each stage, a magnetic chicane is used to dispose of the spent driver and to…

Accelerator Physics · Physics 2026-01-06 Livio Verra , Alexander Knetsch , Doug Storey

For the future intensity increase of the fixed-target beams in the CERN accelerator complex, a barrier-bucket scheme has been developed to reduce the beam loss during the 5-turn extraction from the PS towards the SPS, the so-called…

Accelerator Physics · Physics 2022-10-28 M. Vadai , H. Damerau , M. Giovannozzi , A. Huschauer , A. Lasheen

With the aim of describing real-time electron dynamics, we introduce an adiabatic approximation for the equation of motion of the one-body reduced-density matrix (one-matrix). The eigenvalues of the one-matrix, which represent the…

Strongly Correlated Electrons · Physics 2012-09-18 Ryan Requist , Oleg Pankratov

The Bates Linear Accelerator uses six 4MW 2.856GHz RF transmitters. Phase drifts between the transmitters 12 klystrons of greater than 0.5 degree or any amplitude drifts compromise beam delivery and are a common occurrence. Machine…

Instrumentation and Detectors · Physics 2007-05-23 D. Cheever , X. Geng

In this paper, we evaluate the use of a trained Long Short-Term Memory (LSTM) network as a surrogate for a Euler-Bernoulli beam model, and then we describe and characterize an FPGA-based deployment of the model for use in real-time…

Hardware Architecture · Computer Science 2023-09-06 Ehsan Kabir , Daniel Coble , Joud N. Satme , Austin R. J. Downey , Jason D. Bakos , David Andrews , Miaoqing Huang

Temporal action detection (TAD) is challenging, yet fundamental for real-world video applications. Recently, DETR-based models for TAD have been prevailing thanks to their unique benefits. However, transformers demand a huge dataset, and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Jihwan Kim , Miso Lee , Jae-Pil Heo

We demonstrate a silicon-based electron accelerator that uses laser optical near fields to both accelerate and confine electrons over extended distances. Two dielectric laser accelerator (DLA) designs were tested, each consisting of two…

There has been a growing interest in using end-to-end acoustic models for singing voice synthesis (SVS). Typically, these models require an additional vocoder to transform the generated acoustic features into the final waveform. However,…

Sound · Computer Science 2023-08-08 Yuning Wu , Yifeng Yu , Jiatong Shi , Tao Qian , Qin Jin

Long Short-Term Memory (LSTM) is widely used in various sequential applications. Complex LSTMs could be hardly deployed on wearable and resourced-limited devices due to the huge amount of computations and memory requirements. Binary LSTMs…

Machine Learning · Computer Science 2020-04-24 Najmeh Nazari , Seyed Ahmad Mirsalari , Sima Sinaei , Mostafa E. Salehi , Masoud Daneshtalab

We investigate the ultrafast electron dynamics of a model of a wide-bandgap material with inner, valence, and conduction bands excited by an intense few-femtosecond pump and monitored by a delayed attosecond extreme-ultraviolet probe pulse.…

Optics · Physics 2026-05-08 Stefano M. Cavaletto , Lars Bojer Madsen

A time-of-flight (ToF) imaging system is proposed and its working principle demonstrated. To realize this system, a new device, a free-space optical mixer, is designed and fabricated. A scene is illuminated (flashed) with a megahertz level…

Beam tracking software for accelerators typically falls into two categories: fast envelope simulations limited to linear beam optics, and slower multiparticle simulations that can model nonlinear effects. To find a middle ground between…

Accelerator Physics · Physics 2017-08-02 Ben Folsom , Emanuele Laface

Even though Deep Reinforcement Learning (DRL) showed outstanding results in the fields of Robotics and Games, it is still challenging to implement it in the optimization of industrial processes like wastewater treatment. One of the…