Tootfinder

Efficient ion re-acceleration in laboratory-produced interpenetrating collisionless shocks
W. Yao, I. Cohen, P. Suarez Gerona, H. Ahmed, A. F. A. Bott, S. N. Chen, M. Cook, R. Leli\`evre, P. Martin, T. Waltenspiel, P. Antici, J. B\'eard, M. Borghesi, D. Caprioli, A. Ciardi, E. d'Humi\`eres, M. Fran\c{c}ois, L. Gremillet, A. Marcowith, M. Miceli, T. Seebaruth, S. Orlando, J. Fuchs

Efficient ion re-acceleration in laboratory-produced interpenetrating collisionless shocks
Although the origin of cosmic rays (CRs) remains an open question, collisionless magnetized shock waves are widely regarded as key sites for particle acceleration. Recent theories further suggest that shock-shock collisions in stellar clusters could provide the additional acceleration needed to explain the observed high-energy CR spectrum. Here, we investigate this hypothesis through a laser-based experiment that creates magnetized plasma conditions similar to astrophysical environments. Our re…

A pipeline to search for signatures of line-of-sight acceleration in gravitational wave signals produced by compact binary coalescences
Avinash Tiwari, Aditya Vijaykumar, Shasvath J. Kapadia, Shrobana Ghosh, Alex B. Nielsen
https://arxiv.org/abs/2506.22272

A pipeline to search for signatures of line-of-sight acceleration in gravitational wave signals produced by compact binary coalescences
Compact binary coalescences (CBCs), such as merging binary black holes (BBHs), binary neutron stars (BNSs), or neutron star black holes (NSBHs), hosted by dense stellar environments, could produce gravitational waves (GWs) that contain signatures of line-of-sight acceleration (LOSA) imparted by the environment's gravitational potential. We calculate the Post-Newtonian (PN) corrections to the $(2,\,2)$ mode GW phase due to a finite LOSA, starting from the leading order at -4 PN below the quadrup…

Alibaba reports Q1 revenue up 2% YoY to ~$34.6B, below ~$35.4B est., and net income up 76% to ~$5.9B, above ~$4B est., as AI demand drives cloud sales up 26% (Arjun Kharpal/CNBC)
https://www.cnbc.com/2025/08/29/alibaba-baba-june-quarter-2025-earnings-repor…

Alibaba's key cloud unit sales shine even as quarterly revenues miss
Alibaba posted a a revenue miss in the June quarter even as it showed an acceleration at its cloud computing unit.

Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction
Mattia Ricchi, Fabrizio Alfonsi, Camilla Marella, Marco Barbieri, Alessandra Retico, Leonardo Brizi, Alessandro Gabrielli, Claudia Testa
https://arxiv.org/abs/2506.22156

Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction
Magnetic Resonance Fingerprinting (MRF) is a fast quantitative MR Imaging technique that provides multi-parametric maps with a single acquisition. Neural Networks (NNs) accelerate reconstruction but require significant resources for training. We propose an FPGA-based NN for real-time brain parameter reconstruction from MRF data. Training the NN takes an estimated 200 seconds, significantly faster than standard CPU-based training, which can be up to 250 times slower. This method could enable rea…

The guy in the new looking Lotus Evora didn’t seem too bothered when I pointed out he was making blue smoke under acceleration.
He probably should be…

Aerosol dynamics on hot exoplanets: the role of radiation pressure
James E. Owen, Ruth A. Murray-Clay
https://arxiv.org/abs/2508.20175 https://arxiv.org/pd…

Aerosol dynamics on hot exoplanets: the role of radiation pressure
Aerosols appear to be ubiquitous in exoplanetary atmospheres. However because our understanding of the physical processes that govern aerosols is incomplete, their presence makes the measurement of atmospheric properties, such as molecular abundance ratios, difficult. We show that aerosol particles in highly-irradiated exoplanets experience an additional acceleration due to stellar radiation pressure. The strength of this radiative acceleration often exceeds the planet's gravity and can approac…

Enhancement of J x B electron acceleration with the micro-structured target and picosecond high-contrast relativistic-intensity laser pulse
Ryunosuke Takizawa, Yuga Karaki, Hiroki Matsubara, Rinya Akematsu, Ryou Oomura, Law King Fai Farley, Hiroshi Azechi, Natsumi Iwata, Tomoyuki Johzaki, Yasuhiko Sentoku, Shinsuke Fujioka
https://

Enhancement of J x B electron acceleration with the micro-structured target and picosecond high-contrast relativistic-intensity laser pulse
Efficient generation of multi-hundred-keV electrons is essential for isochoric heating and can influence ion acceleration. We investigated electron acceleration from copper-oleate foil targets, either planar or coated with a gold mesh structure (bar width $5,μ\mathrm{m}$, spacing $7.5,μ\mathrm{m}$, thickness $\sim6,μ\mathrm{m}$), irradiated by $1.5$-ps, $350$-J LFEX laser pulses. Two laser-contrast conditions were examined: high ($\sim10^{10}$, with a plasma mirror) and low ($\sim10^{8}$, wi…

Quantum Transport Protected by Acceleration From Nonadiabaticity and Dissipation
Arnab Chakrabarti, Biswarup Ash, Igor Mazets, Xi Chen, Gershon Kurizki
https://arxiv.org/abs/2506.21462

Quantum Transport Protected by Acceleration From Nonadiabaticity and Dissipation
We put forth a hitherto unexplored control strategy that enables high-fidelity fast transport of an unstable quantum wavepacket even in the presence of bath-induced dissipation. The wavepacket, which is confined within any shallow (anharmonic) potential trap is steered in acceleration, so as to maximize the transfer fidelity. This strategy can generally optimize any non-Markovian bath-dressed continuous-variable system dynamics. It can simultaneously cope with wavepacket leakage via non-adiabat…

Tried Wayland Plasma 6 on openSUSE on a ThinkPad P14s G5 AMD last night:
-Firefox doesn't render properly
-TrackPoint is nearly unusably twitchy and doesn't respond to speed/acceleration settings
-Input latency makes it difficult to control the mouse pointer accurately
That was enough for me to log out and return to an X session. Once they finish deleting X11 from all distros and removing any X support from modern DEs, I guess I'll just get a Mac. We had a …

Rapid-cycling ReBCO dipole magnet concept for muon acceleration
Henryk Piekarz (Fermi National Accelerator Laboratory), Simon Otten (University of Twente, CERN), Anna Kario (University of Twente, CERN), Herman ten Kate (University of Twente, CERN)
https://arxiv.org/abs/2507.20895

Rapid-cycling ReBCO dipole magnet concept for muon acceleration
We present a concept of the rapid-cycling 1.7 T ReBCO magnet for 1 to 10 kT/s ramping range as required for muon acceleration in a future muon collider presently under study. This approach is based on the 6 kA CORC-like cable constructed with 12 superconducting ReBCO tapes of 2 mm width. Based on theoretical prediction there is a linear scaling of the ReBCO cable hysteresis loss with the crossing magnetic field possibly generating power loss independent of the magnetic field ramping speed. This…

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
https://arxiv.org/abs/2508.19087 https://

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
Large language models (LLMs) have revolutionized AI applications, yet their enormous computational demands severely limit deployment and real-time performance. Quantization methods can help reduce computational costs, however, attaining the extreme efficiency associated with ultra-low-bit quantized LLMs at arbitrary precision presents challenges on GPUs. This is primarily due to the limited support for GPU Tensor Cores, inefficient memory management, and inflexible kernel optimizations. To tack…

from my link log —
HAFLANG: hardware acceleration of functional languages.
https://haflang.github.io/
saved 2025-03-22 https://dotat.at…

Start-to-end modelling of laser-plasma acceleration, beam transport and dose deposition of very high-energy electrons for radiotherapy
Rajakrishna Kalvala, Anton Golovanov, Arnaud Courvoisier, Tomer Friling, Eyal Kroupp, Lidan Grishko, Victor Malka
https://arxiv.org/abs/2508.20678

Start-to-end modelling of laser-plasma acceleration, beam transport and dose deposition of very high-energy electrons for radiotherapy
Radiotherapy using very high-energy electron (VHEE) beams generated by a laser-plasma accelerator has garnered significant interest due to its dose distribution capabilities and potential to address limitations of traditional photon-based radiotherapy. To explore the feasibility of such approach, the presented study uses the parameters of OONA, the commercial <1.3\,J, <25\,fs pulse duration laser recently installed at the Weizmann Institute of Science. Through particle-in-cell simulations of la…

Phase space analysis of R\'enyi Holographic dark energy model
Santanu Das, Nilanjana Mahata
https://arxiv.org/abs/2507.21549 https://arxiv.org/pdf/2507…

Phase space analysis of Rényi Holographic dark energy model
Recent observational evidences point out towards a late time acceleration of the universe. In order to study the accelerated expansion, scientists have incorporated the existence of an exotic matter with negative pressure, termed as dark energy. Afterwards a new idea of dark energy have been studied depending on the holographic principle of quantum gravity, called as the Holographic Dark Energy(HDE). Later on modifying Bekestein-Hawking entropy, different generalized entropies have been propose…

What are the limits to biomedical research acceleration through general-purpose AI?
Konstantin Hebenstreit, Constantin Convalexius, Stephan Reichl, Stefan Huber, Christoph Bock, Matthias Samwald
https://arxiv.org/abs/2508.16613

What are the limits to biomedical research acceleration through general-purpose AI?
Although general-purpose artificial intelligence (GPAI) is widely expected to accelerate scientific discovery, its practical limits in biomedicine remain unclear. We assess this potential by developing a framework of GPAI capabilities across the biomedical research lifecycle. Our scoping literature review indicates that current GPAI could deliver a speed increase of around 2x, whereas future GPAI could facilitate strong acceleration of up to 25x for physical tasks and 100x for cognitive tasks. …

Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysis
Nirmal Gaud, Prasad Krishna Murthy, Mostaque Md. Morshedur Hassan, Abhijit Ganguly, Vinay Mali, Ms Lalita Bhagwat Randive, Abhaypratap Singh
https://arxiv.org/abs/2508.16550

Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysis
This study introduces the Enhanced NIRMAL (Novel Integrated Robust Multi-Adaptation Learning with Damped Nesterov Acceleration) optimizer, an improved version of the original NIRMAL optimizer. By incorporating an $(α, r)$-damped Nesterov acceleration mechanism, Enhanced NIRMAL improves convergence stability while retaining chess-inspired strategies of gradient descent, momentum, stochastic perturbations, adaptive learning rates, and non-linear transformations. We evaluate Enhanced NIRMAL aga…

Testing $f(T)$ Gravity with Cosmological Observations: Confronting the Hubble Tension and Implications for the Late-Time Universe
Saurabh Verma, Archana Dixit, Anirudh Pradhan, M. S. Barak
https://arxiv.org/abs/2508.20107

Testing $f(T)$ Gravity with Cosmological Observations: Confronting the Hubble Tension and Implications for the Late-Time Universe
In recent years, modifications to General Relativity (GR) have been explored to address cosmological observations, particularly in the context of late-time cosmic acceleration. Among these, modifications based on the Teleparallel Equivalent of General Relativity (TEGR), particularly $f(T)$ gravity, have gained significant attention. In this work, we investigate the scalar perturbations in $f(T)$ gravity, focusing on how these perturbations modify the Poisson and lensing equations and how they i…

diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning
Rene Winchenbach, Nils Thuerey
https://arxiv.org/abs/2507.21684 https://

diffSPH: Differentiable Smoothed Particle Hydrodynamics for Adjoint Optimization and Machine Learning
We present diffSPH, a novel open-source differentiable Smoothed Particle Hydrodynamics (SPH) framework developed entirely in PyTorch with GPU acceleration. diffSPH is designed centrally around differentiation to facilitate optimization and machine learning (ML) applications in Computational Fluid Dynamics~(CFD), including training neural networks and the development of hybrid models. Its differentiable SPH core, and schemes for compressible (with shock capturing and multi-phase flows), weakly c…

Decoupling acceleration and wiggling in a laser-produced Betatron source
Julien Gautier, Igor Andriyash, Andreas D\"opp, Michaela Kozlova, Aim\'e Matheron, Benoit Mahieu, C\'edric Thaury, Ronan Lahaye, Jean-Philippe Goddet, Amar Tafzi, Pascal Rousseau, St\'ephane Sebban, Antoine Rousse, Kim Ta Phuoc
https://arxi…

Decoupling acceleration and wiggling in a laser-produced Betatron source
Betatron radiation is produced in Laser Plasma Accelerators when the electrons are accelerated and simultaneously wiggle across the propagation axis. The mechanisms of electron acceleration and X-ray radiation production follow different scaling laws, and the brightest X-ray radiation is often produced for an electron beam with a lower quality in terms of energy and divergence. Here, we report a laser-driven Betatron X-ray source where the plasma density profile is tailored in order to separate…

Experimental Comparison of Whole-Body Control Formulations for Humanoid Robots in Task Acceleration and Task Force Spaces
Sait Sovukluk, Grazia Zambella, Tobias Egle, Christian Ott
https://arxiv.org/abs/2507.18502

Experimental Comparison of Whole-Body Control Formulations for Humanoid Robots in Task Acceleration and Task Force Spaces
This paper studies the experimental comparison of two different whole-body control formulations for humanoid robots: inverse dynamics whole-body control (ID-WBC) and passivity-based whole-body control (PB-WBC). The two controllers fundamentally differ from each other as the first is formulated in task acceleration space and the latter is in task force space with passivity considerations. Even though both control methods predict stability under ideal conditions in closed-loop dynamics, their rob…

Cleaner air in east Asia may have driven recent acceleration in global warming, our new study indicates https://theconversation.com/cleaner-air-in-east-asia-may-have-driven-recent-acceleration-in-global-warmi…

Cleaner air in east Asia may have driven recent acceleration in global warming, our new study indicates
A new study shows how polluted air could have been masking the full effects of global warming.

Radio signatures of AGN-wind-driven shocks in elliptical galaxies: From simulations to observations
Haojie Xia, Feng Yuan, Zhiyuan Li, Bocheng Zhu
https://arxiv.org/abs/2507.19716

Radio signatures of AGN-wind-driven shocks in elliptical galaxies: From simulations to observations
We investigate the synchrotron emission signatures of shocks driven by active galactic nucleus (AGN) wind in elliptical galaxies based on our two-dimensional axisymmetric hydrodynamic $\textit{MACER}$ numerical simulations. Using these simulation data, we calculate the synchrotron radiation produced by nonthermal electrons accelerated at shocks, adopting reasonable assumptions for the magnetic field and relativistic electron distribution (derived from diffusive shock acceleration theory), and p…

GPU Acceleration for Faster Evolutionary Spatial Cyclic Game Systems
Louie Sinadjan
https://arxiv.org/abs/2508.16639 https://arxiv.org/pdf/2508.16639

GPU Acceleration for Faster Evolutionary Spatial Cyclic Game Systems
This dissertation presents the design, implementation and evaluation of GPU-accelerated simulation frameworks for Evolutionary Spatial Cyclic Games (ESCGs), a class of agent-based models used to study ecological and evolutionary dynamics. Traditional single-threaded ESCG simulations are computationally expensive and scale poorly. To address this, high-performance implementations were developed using Apple's Metal and Nvidia's CUDA, with a validated single-threaded C++ version serving as a basel…

Variability in energetic particle observations at strong interplanetary shocks: Multi-spacecraft observations
Domenico Trotta, Timothy S. Horbury, Joe Giacalone
https://arxiv.org/abs/2508.19812

Variability in energetic particle observations at strong interplanetary shocks: Multi-spacecraft observations
Context. Interplanetary (IP) shock waves offer an unparalleled opportunity to directly study the elusive mechanisms of particle acceleration that are pervasive in our Universe. Novel spacecraft missions, orbiting poorly-explored regions of the heliosphere, opened a new observational window on particle acceleration at IP shocks that is relevant to space and astrophysical plasmas. Aims. We address shock variability and its effects on the production of accelerated particles at different energies. …

Relativistic quantum Otto engine driven by the circular Unruh effect
Rudra Prosad Sarkar, Arnab Mukherjee, Sunandan Gangopadhyay
https://arxiv.org/abs/2507.20928 https://…

Relativistic quantum Otto engine driven by the circular Unruh effect
In this work, we present a new framework for a relativistic quantum analouge of the classical Otto engine. Considering a single qubit as the working substance, we analyse its interaction with a massless quantum scalar field while undergoing two half-circular rotations at ultra-relativistic velocities. The quantum vacuum serves as a thermal bath through the Unruh effect induced due to the acceleration from the circular motions. We observe that the response function of the qubit gets significantl…

Evidence of Time-Dependent Diffusive Shock Acceleration in the 2022 September 5 Solar Energetic Particle Event
Xiaohang Chen, Lulu Zhao, Joe Giacalone, Nishtha Sachdeva, Igor Sokolov, Gabor Toth, Christina Cohen, David Lario, Fan Guo, Athanasios Kouloumvakos, Tamas Gombosi, Zhenguang Huang, Ward Manchester, Bart van der Holst, Weihao Liu, David McComas, Matthew Hill, George Ho

Evidence of Time-Dependent Diffusive Shock Acceleration in the 2022 September 5 Solar Energetic Particle Event
On 2022 September 5, a large solar energetic particle (SEP) event was detected by Parker Solar Probe (PSP) and Solar Orbiter (SolO), at heliocentric distances of 0.07 and 0.71 au, respectively. PSP observed an unusual velocity-dispersion signature: particles below $\sim$1 MeV exhibited a normal velocity dispersion, while higher-energy particles displayed an inverse velocity arrival feature, with the most energetic particles arriving later than those at lower energies. The maximum energy increas…

This https://arxiv.org/abs/2504.09851 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
As Deep Neural Networks (DNNs) continue to drive advancements in artificial intelligence, the design of hardware accelerators faces growing concerns over embodied carbon footprint due to complex fabrication processes. 3D integration improves performance but introduces sustainability challenges, making carbon-aware optimization essential. In this work, we propose a carbon-efficient design methodology for 3D DNN accelerators, leveraging approximate computing and genetic algorithm-based design spa…

Optimal Control of ODE Car-Following Models: Applications to Mixed-Autonomy Platoon Control via Coupled Autonomous Vehicles
Arwa Alanqary, Alexandre M. Bayen, Xiaoqian Gong, Anish Gollakota, Alexander Keimer, Ashish Pandian
https://arxiv.org/abs/2508.19417

Optimal Control of ODE Car-Following Models: Applications to Mixed-Autonomy Platoon Control via Coupled Autonomous Vehicles
In this paper, we study the optimal control of a mixed-autonomy platoon driving on a single lane to smooth traffic flow. The platoon consists of autonomous vehicles, whose acceleration is controlled, and human-driven vehicles, whose behavior is described using a microscopic car-following model. We formulate the optimal control problem where the dynamics of the platoon are describing through a system of non-linear ODEs, with explicit constraints on both the state and the control variables. Theor…

Convergence analysis of Anderson acceleration for nonlinear equations with H\"older continuous derivatives
Yonghui Ling, Zikang Xiong, Juan Liang
https://arxiv.org/abs/2507.15322

Convergence analysis of Anderson acceleration for nonlinear equations with Hölder continuous derivatives
This work investigates the local convergence behavior of Anderson acceleration in solving nonlinear systems. We establish local R-linear convergence results for Anderson acceleration with general depth $m$ under the assumptions that the Jacobian of the nonlinear operator is Hölder continuous and the corresponding fixed-point function is contractive. In the Lipschitz continuous case, we obtain a sharper R-linear convergence factor. We also derive a refined residual bound for the depth $m = 1$ u…

On the orbital variability of gamma-ray emission in $\gamma^2$ Velorum
Agnibha De Sarkar
https://arxiv.org/abs/2507.21668 https://arxiv.org/pdf/2507.21668

On the orbital variability of gamma-ray emission in $γ^2$ Velorum
Colliding wind binaries (CWBs) are promising sources of high-energy gamma-ray emission driven by shock acceleration of particles at wind interaction zones. The nearby CWB system $γ^2$ Velorum (WR 11), composed of a Wolf-Rayet (WR) and an O-star, has been recently associated with GeV gamma-ray emission observed by Fermi-LAT, including evidence of orbital variability. This offers a valuable opportunity to test models of phase-dependent hadronic emission and absorption in CWBs. We aim to explain …

A causality inspired acceleration method for the fast temporal superposition of the finite line source solutions
Marc Basquens, Alberto Lazzarotto
https://arxiv.org/abs/2507.18200

A causality inspired acceleration method for the fast temporal superposition of the finite line source solutions
We present a novel, fast method to compute thermal interactions in solids, useful for time-dependent problems involving several sources and several time and space scales such as the ones encountered in the physics of fields of closed loop borehole heat exchangers. The new method is based on the non-history temporal superposition acceleration algorithm, but presents better performance compared to the originally proposed scheme. The main idea behind it is to leverage the propagation properties of…

Cosmology with Distinct Functions $f$ of the Non-metricity Scalar $Q$ : A Dynamical System Approach
Promila Biswas, Subhajit Pal, Ritabrata Biswas, Satyajit Pal
https://arxiv.org/abs/2506.21646

Cosmology with Distinct Functions $f$ of the Non-metricity Scalar $Q$ : A Dynamical System Approach
Symmetric teleparallel gravity is one among the general relativistic trinity which deals with the non-metricity scalar $Q$. In the Einstein Hilbert action, a function of $Q$ is chosen to be the main contributory part of the Lagrangian and a modified theory of gravity is constructed. In literature, different structures of the function of $Q$ are found which sustain several astrophysical observations like Big Bang nucleosynthesis, late-time cosmic acceleration etc. Autonomous systems for each suc…

Time-energy tradeoff in stochastic resetting using optimal control
R\'emi Goerlich, Kristian St{\o}levik Olsen, Hartmut L\"owen, Yael Roichman
https://arxiv.org/abs/2507.19387

Time-energy tradeoff in stochastic resetting using optimal control
Stochastic resetting is a driving mechanism that is known to minimize the first passage time to reach a target, at the cost of energy expenditure. The choice of the physical implementation of each resetting event determines the tradeoff between the acceleration of the search process and its energetic cost. Here, we present an optimal transport protocol that balances the duration and the energetic cost of each resetting event. This protocol drives a harmonically trapped Brownian particle between…

SADA: Stability-guided Adaptive Diffusion Acceleration
Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li
https://arxiv.org/abs/2507.17135

SADA: Stability-guided Adaptive Diffusion Acceleration
Diffusion models have achieved remarkable success in generative tasks but suffer from high computational costs due to their iterative sampling process and quadratic attention costs. Existing training-free acceleration strategies that reduce per-step computation cost, while effectively reducing sampling time, demonstrate low faithfulness compared to the original baseline. We hypothesize that this fidelity gap arises because (a) different prompts correspond to varying denoising trajectory, and (b…

👀 well this is an interesting #qemu patch which in some ways implements to the pre-TCG days of stringing gadgets together: https://patchew.org/QEMU/20250722174228.16205-1-j@getut…

Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[2/2]:
- Probing the nature of gravity in the low-acceleration limit: wide binaries of extreme separations...
Youngsub Yoon, Yong Tian, Kyu-Hyun Chae

Demystifying the 7-D Convolution Loop Nest for Data and Instruction Streaming in Reconfigurable AI Accelerators
Md Rownak Hossain Chowdhury, Mostafizur Rahman
https://arxiv.org/abs/2507.20420

Demystifying the 7-D Convolution Loop Nest for Data and Instruction Streaming in Reconfigurable AI Accelerators
Convolution remains the most compute-intensive operation in AI acceleration, often constituting over 80-90% of the workload. Existing approaches in spatial architectures such as coarse-grained reconfigurable arrays (CGRAs) and field-programmable gate arrays (FPGAs) frequently rely on loop unrolling or GEMM-based matrix transformations, introducing significant overhead in both data movement and instruction control. This paper presents a new framework designed to systematically demystify the 7-di…

Easy Acceleration with Distributed Arrays
Jeremy Kepner, Chansup Byun, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Daniel Burrill, Vijay Gadepally, Ryan Haney, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Peter Michaleas

Easy Acceleration with Distributed Arrays
High level programming languages and GPU accelerators are powerful enablers for a wide range of applications. Achieving scalable vertical (within a compute node), horizontal (across compute nodes), and temporal (over different generations of hardware) performance while retaining productivity requires effective abstractions. Distributed arrays are one such abstraction that enables high level programming to achieve highly scalable performance. Distributed arrays achieve this performance by derivi…

Reprocessing of the Parkes 70-cm Survey and Discovery of a New Radio Pulsar in the Large Magellanic Cloud
Wenke Xia, Fronefield Crawford, Shinnosuke Hisano, Tai Jespersen, Melanie Ficarra, Mckenzie Golden, Mia Gironda
https://arxiv.org/abs/2507.21920

Reprocessing of the Parkes 70-cm Survey and Discovery of a New Radio Pulsar in the Large Magellanic Cloud
We have reprocessed the data archived from the Parkes 70-cm pulsar (PKS70) survey with an expanded DM search range and an acceleration search. Our goal was to detect pulsars that might have been missed in the original survey processing. Of the original 43842 pointings, 34869 pointings were archived, along with 440 additional pointings for confirmation or timing. We processed all of these archived data and detected 359 known pulsars: 265 of these were detected in the original survey, while an ad…

Scattering and Chirping at Accelerated Interfaces
Klaas De Kinder, Amir Bahrami, Christophe Caloz
https://arxiv.org/abs/2506.19575 https://

Scattering and Chirping at Accelerated Interfaces
Space-time varying media with moving interfaces unlock new ways to manipulate electromagnetic waves. Yet, analytical solutions have been mostly limited to interfaces moving at constant velocity or constant proper acceleration. Here, we present exact scattering solutions for an arbitrarily accelerating interface, derived directly in the laboratory frame through a suitable change of variables. We show that acceleration introduces rich effects that do not occur with uniform motion, including trans…

Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
Chao Li, Jiawei Fan, Anbang Yao
https://arxiv.org/abs/2506.18251 https://

Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
In this paper, we present Morse, a simple dual-sampling framework for accelerating diffusion models losslessly. The key insight of Morse is to reformulate the iterative generation (from noise to data) process via taking advantage of fast jump sampling and adaptive residual feedback strategies. Specifically, Morse involves two models called Dash and Dot that interact with each other. The Dash model is just the pre-trained diffusion model of any type, but operates in a jump sampling regime, creat…

Learning Accurate Whole-body Throwing with High-frequency Residual Policy and Pullback Tube Acceleration
Yuntao Ma, Yang Liu, Kaixian Qu, Marco Hutter
https://arxiv.org/abs/2506.16986

Learning Accurate Whole-body Throwing with High-frequency Residual Policy and Pullback Tube Acceleration
Throwing is a fundamental skill that enables robots to manipulate objects in ways that extend beyond the reach of their arms. We present a control framework that combines learning and model-based control for prehensile whole-body throwing with legged mobile manipulators. Our framework consists of three components: a nominal tracking policy for the end-effector, a high-frequency residual policy to enhance tracking accuracy, and an optimization-based module to improve end-effector acceleration co…

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang
https://arxiv.org/abs/2508.16211

Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
Diffusion Transformers (DiTs) have demonstrated exceptional performance in high-fidelity image and video generation. To reduce their substantial computational costs, feature caching techniques have been proposed to accelerate inference by reusing hidden representations from previous timesteps. However, current methods often struggle to maintain generation quality at high acceleration ratios, where prediction errors increase sharply due to the inherent instability of long-step forecasting. In th…

Excitation of Giant Surface Waves During Laser Wake Field Acceleration
Travis Garrett, Christopher Pieronek, E. Rockafellow, Oliver Sale, Sahir Virani, J. E. Shrock, B. Miao, A. Sloss, Jennifer Elle, H. M. Milchberg
https://arxiv.org/abs/2506.21503

Excitation of Giant Surface Waves During Laser Wake Field Acceleration
We have detected the presence of very high intensity surface waves that are excited during plasma waveguided laser wakefield acceleration. Wakefield acceleration can be enchanced by the introduction of an ``all optical" plasma waveguide that confines and guides a laser pulse at the optimal intensity over long distances, producing quasimonoenergetic multi-GeV electron bunches. However strong pulses of radio frequency radiation (RF) are also produced, and particle in cell simulations show why: a …

Walmart hires Instacart CPO Daniel Danker as head of global AI acceleration, product, and design, starting next month and reporting to CEO Doug McMillon (Wall Street Journal)
https://www.wsj.com/tech/ai/walmart-taps-instacart-executive-to-lead-i…

Enhanced quantum sensing of gravitational acceleration constant
Giorgio Stucchi, Matteo G. A. Paris
https://arxiv.org/abs/2506.20352 https://

Enhanced quantum sensing of gravitational acceleration constant
We investigate the use of quantum probes to accurately determine the strength of the local gravitational field on Earth. Our findings show that delocalized probes generally outperform localized ones, with the precision enhancement scaling quadratically with the separation between the two wavefunction components. This advantage persists under realistic position measurements, which can achieve precision not too far from the ultimate bound. We also discuss the influence of Earth's surface, demonst…

Yeah, one of the two guys, a smart engineer, told me the llm answered him why the moon is always facing the same to earth, being the shape of the moon the cause of being locked in place.
A quick research on Wikipedia seems to confirm it was just wrong. It's because the orbital period was faster than earth's rotational period: https://

Microarchitecture Design and Benchmarking of Custom SHA-3 Instruction for RISC-V
Alperen Bolat, Sakir Sezer, Kieran McLaughlin, Henry Hui
https://arxiv.org/abs/2508.20653 https:…

Microarchitecture Design and Benchmarking of Custom SHA-3 Instruction for RISC-V
Integrating cryptographic accelerators into modern CPU architectures presents unique microarchitectural challenges, particularly when extending instruction sets with complex and multistage operations. Hardware-assisted cryptographic instructions, such as Intel's AES-NI and ARM's custom instructions for encryption workloads, have demonstrated substantial performance improvements. However, efficient SHA-3 acceleration remains an open problem due to its distinct permutation-based structure and mem…

From Equipartition to Curvature: The Spectral Evolution of 4FGL Blazars
Muhammad S. Anjum, Shu-Jin Hou, Liang Chen, Minfeng Gu
https://arxiv.org/abs/2507.21647 https://

From Equipartition to Curvature: The Spectral Evolution of 4FGL Blazars
We investigate the evolution of spectral energy distribution (SED) and underlying electron energy distribution (EED) by modeling the nearly simultaneous broadband spectra of selected bright 4FGL blazars, in the context of a combined cooling and stochastic acceleration scenario. We find that one-zone leptonic model with log-parabolic (LP) EED can successfully fit the GeV-TeV emission of blazars. The synchrotron frequency $ν_s$ of blazars mainly evolves due to variation of electron peak energy $…

Acceleration of nuclear power development is part of the Trump administration’s efforts to focus NASA on human spaceflight
Acting NASA director Duffy cites plans by China and Russia to put a reactor on the moon by the mid-2030s
as part of a partnership to build a base there.
If they were first, China and Russia “could potentially declare a keep-out zone” that would inhibit what the United States could do there, Mr. Duffy said.
The directive calls for the appointment of…

NASA’s Acting Administrator Calls for a Nuclear Reactor on the Moon
The acceleration of nuclear development is part of the Trump administration’s efforts to focus NASA on human spaceflight. A reactor would be useful for long-term stays on the moon.

Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration
Zhenyu Lei, Jin-Kao Hao, Qinghua Wu
https://arxiv.org/abs/2506.17357 h…

Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration
Local search plays a central role in many effective heuristic algorithms for the vehicle routing problem (VRP) and its variants. However, neighborhood exploration is known to be computationally expensive and time consuming, especially for large instances or problems with complex constraints. In this study, we explore a promising direction to address this challenge by introducing an original tensor-based GPU acceleration method designed to speed up the commonly used local search operators in veh…

Energy Conversion and Electron Acceleration and Transport in 3D Simulations of Solar Flares
Xiaocan Li, Chengcai Shen, Xiaoyan Xie, Fan Guo, Bin Chen, Ivan Oparin, Yuqian Wei, Sijie Yu, Jeongbhin Seo
https://arxiv.org/abs/2508.12990

Energy Conversion and Electron Acceleration and Transport in 3D Simulations of Solar Flares
Recent observations and simulations indicate that solar flares undergo extremely complex three-dimensional (3D) evolution, making 3D particle transport models essential for understanding electron acceleration and interpreting flare emissions. In this study, we investigate this problem by solving Parker's transport equation with 3D MHD simulations of solar flares. By examining energy conversion in the 3D system, we evaluate the roles of different acceleration mechanisms, including reconnection c…

Crosslisted article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Start-to-end modelling of laser-plasma acceleration, beam transport and dose deposition of very h...
Kalvala, Golovanov, Courvoisier, Friling, Kroupp, Grishko, Malka

Quantum aspects of spacetime: A quantum optics view of acceleration radiation and black holes
C. R. Ordonez, A. Chakraborty, H. E. Camblong, M. O. Scully, W. G. Unruh
https://arxiv.org/abs/2508.17401

Quantum aspects of spacetime: A quantum optics view of acceleration radiation and black holes
For the centennial of quantum mechanics, we offer an overview of the central role played by quantum information and thermalization in problems involving fundamental properties of spacetime and gravitational physics. This is an open area of research still a century after the initial development of formal quantum mechanics, highlighting the effectiveness of quantum physics in the description of all natural phenomena. These remarkable connections can be highlighted with the tools of modern quantum…

Learning Acceleration Algorithms for Fast Parametric Convex Optimization with Certified Robustness
Rajiv Sambharya, Jinho Bok, Nikolai Matni, George Pappas
https://arxiv.org/abs/2507.16264

Learning Acceleration Algorithms for Fast Parametric Convex Optimization with Certified Robustness
We develop a machine-learning framework to learn hyperparameter sequences for accelerated first-order methods (e.g., the step size and momentum sequences in accelerated gradient descent) to quickly solve parametric convex optimization problems with certified robustness. We obtain a strong form of robustness guarantee -- certification of worst-case performance over all parameters within a set after a given number of iterations -- through regularization-based training. The regularization term is …

Very high-energy gamma-ray and neutrino emission from hadronic interaction in compact binary millisecond pulsars
Vittoria Vecchiotti, Manuel Linares
https://arxiv.org/abs/2508.20952

Very high-energy gamma-ray and neutrino emission from hadronic interaction in compact binary millisecond pulsars
Blackwidow and redback systems are millisecond pulsars in compact orbits with ultra-light and low-mass companions, respectively, collectively known as ``spider pulsars". In such systems, an intrabinary shock can form between the pulsar and the companion winds, serving as a site for particle acceleration and associated non-thermal emission. Assuming that protons can be extracted from the neutron star surface and accelerated at the intrabinary shock and/or within the pulsar wind, we model the ver…

On Kinodynamic Global Planning in a Simplicial Complex Environment: A Mixed Integer Approach
Otobong Jerome, Alexandr Klimchik, Alexander Maloletov, Geesara Kulathunga
https://arxiv.org/abs/2508.16511 …

On Kinodynamic Global Planning in a Simplicial Complex Environment: A Mixed Integer Approach
This work casts the kinodynamic planning problem for car-like vehicles as an optimization task to compute a minimum-time trajectory and its associated velocity profile, subject to boundary conditions on velocity, acceleration, and steering. The approach simultaneously optimizes both the spatial path and the sequence of acceleration and steering controls, ensuring continuous motion from a specified initial position and velocity to a target end position and velocity.The method analyzes the admiss…

Global properties and stability of transonic plasma acceleration in the magnetic nozzle
N. Sheth, A. Smolyakov, J. Deguire, S. Pande, P. N. Yushmanov
https://arxiv.org/abs/2506.20880

Global properties and stability of transonic plasma acceleration in the magnetic nozzle
It is shown that transonic plasma acceleration in the converging-diverging magnetic field (magnetic nozzle) follows the unique global solution which is fully defined by the magnetic field. Such solution, which was analytically obtained earlier in the paraxial approximation, is compared here with results of the axisymmetric two-dimensional (rz) magnetohydrodynamics(MHD) simulations. It is shown that analytical solution describes well the region near the axis but also can be applied to arbitrary …

Neural Network Acceleration of Iterative Methods for Nonlinear Schr\"odinger Eigenvalue Problems
Daniel Peterseim, Jan-F. Pietschmann, Jonas P\"uschel, Kilian Ruess
https://arxiv.org/abs/2507.16349

Neural Network Acceleration of Iterative Methods for Nonlinear Schrödinger Eigenvalue Problems
We present a novel approach to accelerate iterative methods to solve nonlinear Schrödinger eigenvalue problems using neural networks. Nonlinear eigenvector problems are fundamental in quantum mechanics and other fields, yet conventional solvers often suffer from slow convergence in extreme parameter regimes, as exemplified by the rotating Bose- Einstein condensate (BEC) problem. Our method uses a neural network to predict and refine solution trajectories, leveraging knowledge from previous sim…

MEMS chip-based single proof-mass triaxial fiber-optic accelerometer with ultra-low noise level
Chaoyue Liu, Ping Lu
https://arxiv.org/abs/2508.18981 https://

MEMS chip-based single proof-mass triaxial fiber-optic accelerometer with ultra-low noise level
High-precision triaxial acceleration detection holds critical applications in seismic wave detection, geological resource exploration, and aerospace systems. Fabry-Perot (FP) optical sensors have gained widespread adoption in these domains due to their compact footprint and immunity to electromagnetic interference. Nevertheless, conventional three-axis measurements predominantly rely on assembling multiple single-axis transducers, introducing limitations such as increased device volume and misa…

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
Huanpeng Chu, Wei Wu, Guanyu Fen, Yutao Zhang
https://arxiv.org/abs/2508.16212

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models
Diffusion models have emerged as a powerful paradigm for generative tasks such as image synthesis and video generation, with Transformer architectures further enhancing performance. However, the high computational cost of diffusion Transformers-stemming from a large number of sampling steps and complex per-step computations-presents significant challenges for real-time deployment. In this paper, we introduce OmniCache, a training-free acceleration method that exploits the global redundancy inhe…

Synchrotron-limited Particle Acceleration in Relativistic Shearing Flows
Frank M. Rieger, Peter Duffy
https://arxiv.org/abs/2507.18162 https://arxiv.org/pd…

Synchrotron-limited Particle Acceleration in Relativistic Shearing Flows
Fermi-type shear particle acceleration is a promising mechanism for sustaining ultra-relativistic particles along the kilo-parsec scale jets in Active Galactic Nuclei (AGNs). We explore the possibility of synchrotron-limited electron acceleration in mildly relativistic shearing flows and present numerical solutions to the corresponding particle transport equation. We compare our findings with analytical calculations to infer an effective electron cutoff energy, and discuss the relationship to a…

Electromagnetic and Centrifugal Effects on Plasma Acceleration in the Magnetic Nozzle
A. I. Smolyakov, A. Sabo, S. I. Krasheninnikov, P. N. Yushmanov
https://arxiv.org/abs/2506.19647

Electromagnetic and Centrifugal Effects on Plasma Acceleration in the Magnetic Nozzle
Plasma flow and acceleration in the converging-diverging magnetic field configuration, such as magnetic nozzle in electric propulsion and open magnetic mirrors for fusion applications are considered. This work analyses plasma acceleration in the magnetic nozzle with an emphasis on the electromagnetic effects and centrifugal forces due to plasma rotation. Intrinsic coupling of the azimuthal rotation and azimuthal magnetic field is analyzed, and additional plasma acceleration due to the conversio…

Acceleration of Lagrangian Particles in Shell Models of Turbulence
Lorenzo Piro, Massimo Cencini, Roberto Benzi
https://arxiv.org/abs/2506.09633 https://…

Acceleration of Lagrangian Particles in Shell Models of Turbulence
Lagrangian acceleration has been investigated both experimentally and numerically in the past, and it has been shown to exhibit extreme fluctuations, which have been rationalized as events in which tracer particles get trapped into vortical structures such as vortex tubes or filaments. Here, we consider the statistics of acceleration within the multifractal framework, as in Biferale et al. Phys. Rev. Lett. 93 064502 (2004), and investigate the statistics of Lagrangian acceleration using shell m…

Replaced article(s) found for physics.acc-ph. https://arxiv.org/list/physics.acc-ph/new
[1/1]:
- Enhanced energy gain through higher-order resonances during direct laser acceleration with superl...
I-Lin Yeh, Kavin Tangtartharakul, Rohan Bhakta, Hongmei Tang, Louise Willing…

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
Dmitri Lyalikov
https://arxiv.org/abs/2507.17771 https://arxi…

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
The emergence of heterogeneity and domain-specific architectures targeting deep learning inference show great potential for enabling the deployment of modern CNNs on resource-constrained embedded platforms. A significant development is the diversification of custom hardware solely targeting the most expensive parts of CNNs. DLAs (deep learning accelerators) and NPUs (neural processing units), among others, can overcome the approaching limits of traditional silicon scaling and provide a solution…

Jerky chiral active particles
Stephy Jose, Hartmut L\"owen
https://arxiv.org/abs/2508.18180 https://arxiv.org/pdf/2508.18180

Jerky chiral active particles
We introduce jerky chiral active Brownian particles (jcABPs), a generalization of conventional chiral active Brownian particles (cABPs) subjected to jerk, the time derivative of acceleration, and analytically derive their mean displacement and mean squared displacement (MSD). Our results show that jerk induces anomalous fluctuations and oscillatory behavior on the standard circular swimming of chiral active particles. The interplay of jerk, chirality and persistence produces a family of mean tr…

Physics Of Eclipsing Binaries. IX. Spectroscopic module
Miroslav Bro\v{z}, Andrej Pr\v{s}a, Kyle E. Conroy, Michael Abdul-Masih
https://arxiv.org/abs/2506.20868

Physics Of Eclipsing Binaries. IX. Spectroscopic module
Spectroscopic observations constrain the fundamental properties of stellar atmospheres, in particular, the effective temperature, the gravitational acceleration, or the metallicity. In this work, we describe the spectroscopic module for Phoebe, which allows for modelling of spectra, either normalized, or in absolute units (${\rm W}\,{\rm m}^{-2}\,{\rm m}^{-1}$). The module is based on extensive grids of synthetic spectra, taken from literature, which are interpolated and integrated over the sur…

Probing the nature of gravity in the low-acceleration limit: wide binaries of extreme separations with perspective effects
Youngsub Yoon, Yong Tian, Kyu-Hyun Chae
https://arxiv.org/abs/2507.13177

Probing the nature of gravity in the low-acceleration limit: wide binaries of extreme separations with perspective effects
Recent statistical analyses of wide binaries have revealed a boost in gravitational acceleration with respect to the prediction by Newtonian gravity at low internal accelerations $\lesssim 10^{-9}$ m\,s$^{-2}$. This phenomenon is important because it does not permit the dark matter interpretation, unlike galaxy rotation curves. We extend previous analyses by increasing the maximum sky-projected separation from 30 to 50 kilo astronomical units (kau). We show that the so-called ``perspective effe…

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo
https://arxiv.org/abs/2508.17069

Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
Learned activation functions in models like Kolmogorov-Arnold Networks (KANs) outperform fixed-activation architectures in terms of accuracy and interpretability; however, their computational complexity poses critical challenges for energy-constrained edge AI deployments. Conventional CPUs/GPUs incur prohibitive latency and power costs when evaluating higher order activations, limiting deployability under ultra-tight energy budgets. We address this via a reconfigurable lookup architecture with …

Particle Injection Problem in Magnetic Reconnection and Turbulence
Fan Guo, Omar French, Qile Zhang, Xiaocan Li, Jeongbhin Seo
https://arxiv.org/abs/2506.19938

Particle Injection Problem in Magnetic Reconnection and Turbulence
Magnetic reconnection and turbulence in magnetically-dominated environments have been proposed as important nonthermal particle acceleration mechanisms that generate high energy particles and associated emissions. While the acceleration to high energy that produces the power-law energy distribution has drawn strong interest, recent studies actively discuss pre-acceleration, or injection, to a sufficient energy for a sustained and prolonged Fermi-like acceleration. The injection process is impor…

Anderson Acceleration For Perturbed Newton Methods
Matt Dallas
https://arxiv.org/abs/2508.12513 https://arxiv.org/pdf/2508.12513

Anderson Acceleration For Perturbed Newton Methods
We present a convergence theory For Anderson acceleration (AA) applied to perturbed Newton methods (pNMs) For computing roots of nonlinear problems. Two important special cases are the classical Newton method and the Levenberg-Marquardt method. We prove that if a problem is 2-regular, then Anderson accelerated pNMs coupled with a safeguarding scheme, known as $γ$-safeguarding, converge locally linearly in a starlike domain of convergence, but with an improved rate of convergence compared to st…

VFOG: Variance-Reduced Fast Optimistic Gradient Methods for a Class of Nonmonotone Generalized Equations
Quoc Tran-Dinh, Nghia Nguyen-Trung
https://arxiv.org/abs/2508.16791 http…

VFOG: Variance-Reduced Fast Optimistic Gradient Methods for a Class of Nonmonotone Generalized Equations
We develop a novel optimistic gradient-type algorithmic framework, combining both Nesterov's acceleration and variance-reduction techniques, to solve a class of generalized equations involving possibly nonmonotone operators in data-driven applications. Our framework covers a wide class of stochastic variance-reduced schemes, including mini-batching, and control variate unbiased and biased estimators. We establish that our method achieves $\mathcal{O}(1/k^2)$ convergence rates in expectation on …

Enhanced beam transport via space charge mitigation in a multistage accelerator for fusion plasma diagnostics
M. Nishiura, K. Nakamura, K. Ueda, A. Shimizu, H. Takubo, M. Kanda, T. Ido, M. Okamura
https://arxiv.org/abs/2507.20948

Enhanced beam transport via space charge mitigation in a multistage accelerator for fusion plasma diagnostics
Efficient transport of high-current negative ion beams is critical for accurate plasma potential diagnostics using heavy-ion beam probe (HIBP) systems in magnetically confined fusion plasmas. However, strong space-charge effects often degrade transport efficiency, particularly for heavy ions such as Au-. In this study, we demonstrate a substantial improvement in beam transport by introducing an electrostatic lens effect through optimized voltage allocation in a multistage acceleration system. N…

Imprints of screened dark energy on non-local quantum correlations
Fabiano Feleppa, Gaetano Lambiase, Sunny Vagnozzi
https://arxiv.org/abs/2508.18448 https://

Imprints of screened dark energy on non-local quantum correlations
We investigate how screening mechanisms, reconciling light scalar fields driving cosmic acceleration with local fifth force constraints, can be probed via their impact on non-local quantum correlations between entangled spin pairs, whose evolution on a curved background is affected by General Relativity (GR) and screened modified gravity effects. We consider a gedankenexperiment featuring a pair of massive, spin-1/2 particles orbiting the Earth, evaluating their non-local correlations through s…

Bidirectional anisotropic solar energetic particle events observed by Solar Orbiter
Zheyi Ding, Robert F. Wimmer-Schweingruber, Yu Chen, Lingling Zhao, Alexander Kollhoff, Patrick K\"uhl, Liu Yang, Lars Berger, Verena Heidrich-Meisner, Javier Rodriguez-Pacheco, George C. Ho, Glenn M. Mason, Gang Li, Tom\'a\v{s} Form\'anek, Christopher J. Owen
https…

Bidirectional anisotropic solar energetic particle events observed by Solar Orbiter
Solar Energetic Particle (SEP) events are critical for understanding particle acceleration and transport in the heliosphere. While most SEP events involve outward streaming particles along open magnetic field lines, bidirectional events characterized by simultaneous sunward and anti-sunward particle flows offer unique insights into magnetic field topology and the interplay of multiple acceleration sources. We aim to investigate the origin and transport of energetic particles in two rare bidirec…

R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning
Zhuokun Chen, Zeren Chen, Jiahao He, Mingkui Tan, Jianfei Cai, Bohan Zhuang
https://arxiv.org/abs/2507.17307

R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning
Chain-of-thought (CoT) reasoning enhances the problem-solving capabilities of large language models by encouraging step-by-step intermediate reasoning during inference. While effective, CoT introduces substantial computational overhead due to its reliance on autoregressive decoding over long token sequences. Existing acceleration strategies either reduce sequence length through early stopping or compressive reward designs, or improve decoding speed via speculative decoding with smaller models. …

The role of three-dimensional effects on ion injection and acceleration in perpendicular shocks
Luca Orusa, Damiano Caprioli, Lorenzo Sironi, Anatoly Spitkovsky
https://arxiv.org/abs/2507.13436

The role of three-dimensional effects on ion injection and acceleration in perpendicular shocks
Understanding the conditions that enable particle acceleration at non-relativistic collisionless shocks is essential to unveil the origin of cosmic rays. We employ 2D and 3D hybrid simulations (with kinetic ions and fluid electrons) to explore particle acceleration and magnetic field amplification in non-relativistic perpendicular shocks, focusing on the role of shock drift acceleration and its dependence on the shock Mach number. We perform an analysis of the ion injection process and demonstr…

From NLVO to NAO: Reactive Robot Navigation using Velocity and Acceleration Obstacles
Asher Stern, Zvi Shiller
https://arxiv.org/abs/2506.06255 https://

From NLVO to NAO: Reactive Robot Navigation using Velocity and Acceleration Obstacles
This paper introduces a novel approach for robot navigation in challenging dynamic environments. The proposed method builds upon the concept of Velocity Obstacles (VO) that was later extended to Nonlinear Velocity Obstacles (NLVO) to account for obstacles moving along nonlinear trajectories. The NLVO is extended in this paper to Acceleration Obstacles (AO) and Nonlinear Acceleration Obstacles (NAO) that account for velocity and acceleration constraints. Multi-robot navigation is achieved by usi…

Laser Wakefield Acceleration Driven by a Discrete Flying Focus
Jacob R. Pierce, Kyle G. Miller, Fei Li, John P. Palastro, Warren B. Mori
https://arxiv.org/abs/2506.19824

Laser Wakefield Acceleration Driven by a Discrete Flying Focus
Laser wakefield acceleration (LWFA) may enable the next generation of TeV-scale lepton colliders. Reaching such energies will likely require multiple LWFA stages to overcome limitations on the energy gain achievable in a single stage. The use of stages, however, introduces challenges such as alignment, adiabatic matching between stages, and a lower average accelerating gradient. Here, we propose a discrete flying focus that can deliver higher energy gain in a single stage, thereby reducing the …

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst
https://arxiv.org/abs/2507.14651

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Hybrid vision transformers combine the elements of conventional neural networks (NN) and vision transformers (ViT) to enable lightweight and accurate detection. However, several challenges remain for their efficient deployment on resource-constrained edge devices. The hybrid models suffer from a widely diverse set of NN layer types and large intermediate data tensors, hampering efficient hardware acceleration. To enable their execution at the edge, this paper proposes innovations across the har…

Adaptive Acceleration Without Strong Convexity Priors Or Restarts
Joao V. Cavalcanti, Laurent Lessard, Ashia C. Wilson
https://arxiv.org/abs/2506.13033 htt…

Adaptive Acceleration Without Strong Convexity Priors Or Restarts
Accelerated optimization methods are typically parametrized by the Lipschitz smoothness and strong convexity parameters of a given problem, which are rarely known in practice. While the Lipschitz smoothness parameter L can be easily estimated by backtracking, directly estimating (i.e., without restarts) the strong convexity parameter m remains an open problem. This paper addresses this challenge by proposing NAG-free, an optimization method that achieves acceleration while estimating m online w…

A Generalized Alternating Anderson Acceleration Method
Yunhui He, Santolo Leveque
https://arxiv.org/abs/2508.10158 https://arxiv.org/pdf/2508.10158

A Generalized Alternating Anderson Acceleration Method
In this work, we propose a generalized alternating Anderson acceleration method, a periodic scheme composed of $t$ fixed-point iteration steps, interleaved with $s$ steps of Anderson acceleration with window size $m$, to solve linear and nonlinear problems. This allows flexibility to use different combinations of fixed-point iteration and Anderson iteration. We present a convergence analysis of the proposed scheme for accelerating the Richardson iteration in the linear case, with a focus on spe…

Cosmic Rays Masquerading as Cool Cores: An Inverse-Compton Origin for Cool Core Cluster Emission
Philip F. Hopkins, Eliot Quataert, Emily M. Silich, Jack Sayers, Sam B. Ponnada, Isabel S. Sands
https://arxiv.org/abs/2507.18712

Cosmic Rays Masquerading as Cool Cores: An Inverse-Compton Origin for Cool Core Cluster Emission
X-ray bright cool-core (CC) clusters contain luminous radio sources accelerating cosmic ray (CR) leptons at prodigious rates. Near the acceleration region, high-energy leptons produce synchrotron (mini)halos and sometimes observable gamma rays, but these leptons have short lifetimes and so cannot propagate far from sources without some rejuvenation. However, low-energy (~0.1-1 GeV) CRs should survive for >Gyr, potentially reaching ~100 kpc before losing energy via inverse-Compton (IC) scatterin…

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner, Pawel Herman, Artur Podobas
https://arxiv.org/abs/2506.18530

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Edge AI applications increasingly require models that can learn and adapt on-device with minimal energy budget. Traditional deep learning models, while powerful, are often overparameterized, energy-hungry, and dependent on cloud connectivity. Brain-Like Neural Networks (BLNNs), such as the Bayesian Confidence Propagation Neural Network (BCPNN), propose a neuromorphic alternative by mimicking cortical architecture and biologically-constrained learning. They offer sparse architectures with local …

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
Dmitri Lyalikov
https://arxiv.org/abs/2507.17771 https://arxi…

Hadronic acceleration in the young star cluster NGC 6611 inside the M16 region unveiled by Fermi-LAT: constraints on the acceleration efficiency
Giada Peron, Stefano Menchiari, Giovanni Morlino, Elena Amato
https://arxiv.org/abs/2507.13009

Hadronic acceleration in the young star cluster NGC 6611 inside the M16 region unveiled by Fermi-LAT: constraints on the acceleration efficiency
Context. Young Massive Star Clusters, long considered as potentially important sources of galactic cosmic rays, have recently emerged as gamma-ray emitters up to very high energies. Aims. In order to quantify the contribution of this source class to the pool of Galactic CRs, we need to estimate the typical acceleration efficiency of these systems. Methods. We search for emission in the GeV band, as most of the energy is emitted in this band. We perform an analysis of Fermi-LAT data collected to…

Acceleration methods for fixed point iterations
Yousef Saad
https://arxiv.org/abs/2507.11746 https://arxiv.org/pdf/2507.11746

Acceleration methods for fixed point iterations
A pervasive approach in scientific computing is to express the solution to a given problem as the limit of a sequence of vectors or other mathematical objects. In many situations these sequences are generated by slowly converging iterative procedures and this led practitioners to seek faster alternatives to reach the limit. ``Acceleration techniques'' comprise a broad array of methods specifically designed with this goal in mind. They started as a means of improving the convergence of general s…

Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
Jiyoung Park, Abhishek Roy, Jonathan W. Siegel, Anirban Bhattacharya
https://arxiv.org/abs/2506.06160

Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
There is extensive literature on accelerating first-order optimization methods in a Euclidean setting. Under which conditions such acceleration is feasible in Riemannian optimization problems is an active area of research. Motivated by the recent success of varying step-size methods in the Euclidean setting, we undertake a study of such algorithms in the Riemannian setting. We show that varying step-size acceleration can be achieved in non-negatively curved Riemannian manifolds under geodesic s…

Particle-in-cell simulations of plasma wakefield formation in microwave waveguides
Jes\'us E. L\'opez, Eduardo A. Orozco
https://arxiv.org/abs/2506.17752

Particle-in-cell simulations of plasma wakefield formation in microwave waveguides
The acceleration of charged particles is fundamental not only for experimental studies in particle physics but also for applications in fields such as semiconductor manufacturing and medical therapies. However, conventional accelerators face limitations due to their large size, driven by low acceleration gradients. Plasma-based accelerators have emerged as a promising alternative, offering ultrahigh acceleration gradients, though their implementation is often limited by the need for high-intens…

Correlating Particle Acceleration Rates with Plasma Conditions in Colliding Wind Binaries
Gislaine B Cordeiro, Diego Falceta-Gon\c{c}alves, Grzegorz Kowal, Vanessa Giraldez-Garcia
https://arxiv.org/abs/2508.15059

Correlating Particle Acceleration Rates with Plasma Conditions in Colliding Wind Binaries
Recent observations have revealed star-forming regions as possible origin sites of very-high-energy (TeV) cosmic rays, not associated with supernova remnants. Colliding-wind binaries (CWBs) are strong X-ray and radio synchrotron emitters and have been proposed as potential accelerators of such particles. We perform high-resolution three-dimensional magnetohydrodynamic simulations coupled with test-particle integration to investigate how local plasma conditions affect particle acceleration in CW…

On the numerical simulations of electric field-enhanced solid-state electro-aerodynamic thrusters enabled with an insulated electrode
Hisaichi Shibata, Takahiro Nozaki
https://arxiv.org/abs/2508.19265 …

On the numerical simulations of electric field-enhanced solid-state electro-aerodynamic thrusters enabled with an insulated electrode
A solid-state electro-aerodynamic propulsion system applies a high electric potential difference between two electrodes to ionize air within the resulting electric field, accelerating the ions to generate thrust. Previously, the so-called ``decoupled thrusters'' have been proposed, in which ion generation and acceleration are spatially decoupled. Here, we argue that such decoupling is infeasible from the perspective of electric field lines if the diffusion effects are ignored, and consequently …

Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration
Shuting Du, Mohamed Ibrahim, Zishen Wan, Luqi Zheng, Boheng Zhao, Zhenkun Fan, Che-Kai Liu, Tushar Krishna, Arijit Raychowdhury, Haitong Li
https://arxiv.org/abs/2508.14245

Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration
Vector Symbolic Architectures (VSAs) have been widely deployed in various cognitive applications due to their simple and efficient operations. The widespread adoption of VSAs has, in turn, spurred the development of numerous hardware solutions aimed at optimizing their performance. Despite these advancements, a comprehensive and unified discourse on the convergence of hardware and algorithms in the context of VSAs remains somewhat limited. The paper aims to bridge the gap between theoretical so…

An Accretion Flare Interpretation for the UHE Neutrino Event KM3-230213A
Chengchao Yuan, Leonard Pfeiffer, Walter Winter, Sara Buson, Federico Testagrossa, Jose Maria Sanchez Zaballa, Alessandra Azzollini
https://arxiv.org/abs/2506.21111

An Accretion Flare Interpretation for the UHE Neutrino Event KM3-230213A
We study the origin of the ultra-high-energy (UHE) astrophysical neutrino event KM3-230213A detected by KM3NeT, focusing on MRC 0614-083 which has been pinpointed as the closest blazar to the neutrino localization. A joint interpretation of the optical, infrared, and X-ray light curves suggests that MRC 0614-083 has undergone a super-Eddington accretion flare accompanied by efficient proton acceleration. That flare has initiated a delayed infrared echo within the surrounding dust torus, which s…

Generation of Ultrabrilliant Positron Beam via Superponderomotive Injection in Laser Wakefield Acceleration
Ting Sun, Zhen-Ke Dou, Ya-Qing Huang, Feng Wan, Qian Zhao, Jian-Xing Li
https://arxiv.org/abs/2508.11148

Generation of Ultrabrilliant Positron Beam via Superponderomotive Injection in Laser Wakefield Acceleration
Plasma-based acceleration of positrons attracts extensive interests due to the ultrahigh accelerating gradient and ultrashort duration, while generating wakefield positron beam by the inherent injection is still a great challenge. Here, we put forward a superponderomotive injection method of positrons in the blowout regime of laser wakefield acceleration. In this method, transverse laser fields facilitate the trapping of positrons into the laser-modulated longitudinal wakefield which dominates …

Radiative signatures of electron-ion shocks in BL Lac type objects
A. Arbet-Engels, A. Bohdan, F. Rieger, D. Paneque, F. Jenko
https://arxiv.org/abs/2508.18008 https://

Radiative signatures of electron-ion shocks in BL Lac type objects
Shocks are promising sites of particle acceleration in extragalactic jets. In electron-ion shocks, electrons can be heated up to large Lorentz factors, making them an attractive scenario to explain the high minimum electron Lorentz factors regularly needed to describe the emission of BL Lac objects. Still, the thermal electron component is commonly neglected when modelling the observations, although it holds key informations on the shock properties. We model the broadband emission of the HSP bl…

Observation of laser plasma accelerated electrons with transverse momentum spread below the thermal level
T. L. Steyn, A. Panchal, O. Vasilovici, S. Sch\"obel, P. Ufer, F. M. Herrmann, Y. -Y. Chang, I. Moulanier, M. Masckala, O. Khomyshyn, C. Ballage, M. LaBerge, F. Massimo, S. Dobosz Dufr\'enoy, U. Schramm, A. Irman, B. Cros
https://…

Observation of laser plasma accelerated electrons with transverse momentum spread below the thermal level
Achieving high-quality electron beams from laser-plasma accelerators critically relies on density tailoring to control electron dynamics during injection, acceleration, and extraction. We report on the experimental observation of electron beam acceleration and 3D shaping, in transverse momentum and longitudinal phase space, controlled by plasma density tailoring in a gas cell. It leads to relativistic electron beams with a transverse momentum spread of 0.2 mec, below the thermal level imprinted…

Gamma-ray Pulsar Emission is Mostly Stable on Timescales from Minutes to Years
Matthew Kerr
https://arxiv.org/abs/2508.18195 https://arxiv.org/pdf/2508.181…

Gamma-ray Pulsar Emission is Mostly Stable on Timescales from Minutes to Years
We present a method for the detection and characterization of random changes in the flux from $γ$-ray pulsars on sub-hour timescales, much shorter than variations that can be accessed using direct flux measurements. Flux variations are a proxy for the variations in spindown power ($\dot{E}$) or particle acceleration, which can be produced by random switches between quasi-stable configurations of the pulsar magnetosphere. This technique therefore probes the stability of pulsar magnetospheres an…

Coupled Time-Dependent Proton Acceleration and Leptonic-Hadronic Radiation in Turbulent Supermassive Black Hole Coronae
Chengchao Yuan, Damiano F. G. Fiorillo, Maria Petropoulou, Qinrui Liu
https://arxiv.org/abs/2508.08233

Coupled Time-Dependent Proton Acceleration and Leptonic-Hadronic Radiation in Turbulent Supermassive Black Hole Coronae
Turbulent coronae of supermassive black holes can accelerate non-thermal particles to high energies and produce observable radiation, but capturing this process is challenging due to comparable timescales of acceleration, cooling, and the development of cascades. We present a time-dependent numerical framework that self-consistently couples proton acceleration -- modeled by the Fokker-Planck equation -- with leptonic-hadronic radiation. For the neutrino-emitting Seyfert galaxy NGC 1068, we repr…

Characterization of downward Terrestrial Gamma-ray Flashes detected at the Pierre Auger Observatory
Roberta Colalillo (for the Pierre Auger Collaboration), Joseph Dwyer, John Ortberg, David M Smith
https://arxiv.org/abs/2507.15669

Characterization of downward Terrestrial Gamma-ray Flashes detected at the Pierre Auger Observatory
Downward Terrestrial Gamma-ray Flashes (TGFs) are sub-millisecond bursts of MeV gamma rays produced in thunderclouds. According to the Relativistic Runaway Electron Avalanche model, gamma rays are produced, via bremsstrahlung, from electron cascades activated by a relativistic "seed" electron. It is not clear what mechanism is responsible for the acceleration of electrons to relativistic energies in electric discharges. To better understand the acceleration sites and the TGF production mechanis…