Tootfinder

Position Dependent Prediction Combination For Intra-Frame Video Coding
Amir Said, Xin Zhao, Marta Karczewicz, Jianle Chen, Feng Zou
https://arxiv.org/abs/2505.23672

Position Dependent Prediction Combination For Intra-Frame Video Coding
Intra-frame prediction in the High Efficiency Video Coding (HEVC) standard can be empirically improved by applying sets of recursive two-dimensional filters to the predicted values. However, this approach does not allow (or complicates significantly) the parallel computation of pixel predictions. In this work we analyze why the recursive filters are effective, and use the results to derive sets of non-recursive predictors that have superior performance. We present an extension to HEVC intra pre…

This https://arxiv.org/abs/2503.06434 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Droplets Suspended Beneath a Fiber Hub
Droplet-fiber interactions, prevalent in nature and widely applied across various engineering fields, have garnered significant research interest. Many works have focused on the interactions between droplets and single or two fibers. However, the wetting behavior of droplets, especially the maximum droplets that can be retained, on fiber hubs formed by many fibers is rarely studied. The current work explores the capability of fiber hubs to retain liquid droplets. We develop analytical and semi-…

Hub Detection in Gaussian Graphical Models
Jos\'e \'A. S\'anchez G\'omez, Weibin Mo, Junlong Zhao, Yufeng Liu
https://arxiv.org/abs/2505.23707

Hub Detection in Gaussian Graphical Models
Graphical models are popular tools for exploring relationships among a set of variables. The Gaussian graphical model (GGM) is an important class of graphical models, where the conditional dependence among variables is represented by nodes and edges in a graph. In many real applications, we are interested in detecting hubs in graphical models, which refer to nodes with a significant higher degree of connectivity compared to non-hub nodes. A typical strategy for hub detection consists of estimat…

First measurement of neutron capture multiplicity in neutrino-oxygen neutral-current quasi-elastic-like interactions using an accelerator neutrino beam
T2K Collaboration
https://arxiv.org/abs/2505.22547

First measurement of neutron capture multiplicity in neutrino-oxygen neutral-current quasi-elastic-like interactions using an accelerator neutrino beam
We report the first measurement of neutron capture multiplicity in neutrino-oxygen neutral-current quasi-elastic-like interactions at the gadolinium-loaded Super-Kamiokande detector using the T2K neutrino beam, which has a peak energy of about 0.6 GeV. A total of 30 neutral-current quasi-elastic-like event candidates were selected from T2K data corresponding to an exposure of $1.76\times10^{20}$ protons on target. The $γ$ ray signals resulting from neutron captures were identified using a neur…

Hybrid-Graph Neural Network Method for Muon Fast Reconstruction in Neutrino Telescopes
Cen Mo, Liang Li
https://arxiv.org/abs/2505.23425 https://

Hybrid-Graph Neural Network Method for Muon Fast Reconstruction in Neutrino Telescopes
Fast and accurate muon reconstruction is crucial for neutrino telescopes to improve experimental sensitivity and enable online triggering. This paper introduces a Hybrid-Graph Neural Network (GNN) method tailored for efficient muon track reconstruction, leveraging the robustness of GNNs alongside traditional physics-based approaches. The "LITE GNN model" achieves a runtime of 0.19-0.29 ms per event on GPUs, offering a three orders of magnitude speedup compared to traditional likelihood-based me…

This https://arxiv.org/abs/2505.05428 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

Empowering Scientific Workflows with Federated Agents
Agentic systems, in which diverse agents cooperate to tackle challenging problems, are exploding in popularity in the AI community. However, the agentic frameworks used to build these systems have not previously enabled use with research cyberinfrastructure. Here we introduce Academy, a modular and extensible middleware designed to deploy autonomous agents across the federated research ecosystem, including HPC systems, experimental facilities, and data repositories. To meet the demands of scien…

EUISS, #Publication #ChaillotPaper 186
Unpowering Russia: How the EU can counter and undermine the Kremlin Metadata
22 May 2025
site:

This https://arxiv.org/abs/2502.04053 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepe…

Proof of principle for a light dark matter search with low-energy positron beams at NA64
Thermal light dark matter (LDM) with particle masses in the 1 MeV - 1 GeV range could successfully explain the observed dark matter abundance as a relic from the primordial Universe. In this picture, a new feeble interaction acts as a "portal" between the Standard Model and LDM particles, allowing for the exploration of this paradigm at accelerator experiments. In the last years, the "missing energy" experiment NA64e at CERN SPS (Super Proton Synchrotron) has set world-leading constraints in th…

ABEL: The Adaptable Beginning-to-End Linac simulation framework
J. B. B. Chen E. Adli, P. Drobniak, O. G. Finnerud, E. H{\o}rlyk, D. Kalvik, C. A. Lindstr{\o}m, F. Pe\~na, K. Sjobak
https://arxiv.org/abs/2505.22415

ABEL: The Adaptable Beginning-to-End Linac simulation framework
We introduce ABEL, the Adaptable Beginning-to-End Linac simulation framework developed for agile design studies of plasma-based accelerators and colliders. ABEL's modular architecture allows users to simulate particle acceleration across various beamline components. The framework supports specialised codes such as HiPACE++, Wake-T, ELEGANT, GUINEA-PIG, CLICopti and ImpactX, which facilitate precise modelling of complex machine components. Key features include simplified models for addressing tr…

Community input to the European Strategy on particle physics: Searches for Permanent Electric Dipole Moments
M. Athanasakis-Kaklamanakis (Imperial College London, United Kingdom), M. Au (Imperial College London, United Kingdom), R. Berger (Imperial College London, United Kingdom), S. Degenkolb (Imperial College London, United Kingdom), J. De Vries (Imperial College London, United Kingdom), S. Hoekstra (Imperial College London, United Kingdom), A. Keshavarzi (Imperial College London, Un…

Community input to the European Strategy on particle physics: Searches for Permanent Electric Dipole Moments
Searches for electric dipole moments (EDMs) in fundamental particles and quantum systems with spin are pivotal experiments at the intersection of low-energy and high-precision particle physics. These investigations offer a complementary pathway to uncovering new physics beyond the Standard Model, parallel to high-energy collider searches. EDM experiments are among the most sensitive probes for detecting non-standard time-reversal (T) symmetry violations and, via the CPT theorem, CP-violation (C…