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Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs
International Conference on Field-Programmable Logic and Applications, 2022This work proposes a novel reconfigurable architecture for reducing the latency of JEDI-net, a Graph Neural Network (GNN) based algorithm for jet tagging in particle physics, which achieves state-of-the-art accuracy.
Zhiqiang Que+5 more
semanticscholar +1 more source
MadMiner: Machine Learning-Based Inference for Particle Physics
Computing and Software for Big Science, 2019Precision measurements at the LHC often require analyzing high-dimensional event data for subtle kinematic signatures, which is challenging for established analysis methods.
J. Brehmer+3 more
semanticscholar +1 more source
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing
Computing and Software for Big Science, 2019Large-scale particle physics experiments face challenging demands for high-throughput computing resources both now and in the future. New heterogeneous computing paradigms on dedicated hardware with increased parallelization, such as Field Programmable ...
Javier Mauricio Duarte+22 more
semanticscholar +1 more source
NuHepMC: A standardized event record format for neutrino event generators
SciPost Physics Codebases, 2023Simulations of neutrino interactions are playing an increasingly important role in the pursuit of high-priority measurements for the field of particle physics.
Steven Gardiner+2 more
semanticscholar +1 more source
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
SciPost PhysicsThe measurements performed by particle physics experiments must account for the imperfect response of the detectors used to observe the interactions. One approach, unfolding, statistically adjusts the experimental data for detector effects.
A. Shmakov+5 more
semanticscholar +1 more source
Physical characterization of aerosol particles during the Chinese New Year’s firework events
Atmospheric Environment, 2010Abstract Measurements for particles 10 nm to 10 μm were taken using a Wide-range Particle Spectrometer during the Chinese New Year (CNY) celebrations in 2009 in Shanghai, China. These celebrations provided an opportunity to study the number concentration and size distribution of particles in an especial atmospheric pollution situation due to firework
Youguo Gong+8 more
openaire +2 more sources
Modeling of systems and processes, 2020
individual nuclear particles, single events, heavy charged particles, integrated circuits (IC), stability, linear energy losses, physical ...
K. Chubur+5 more
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individual nuclear particles, single events, heavy charged particles, integrated circuits (IC), stability, linear energy losses, physical ...
K. Chubur+5 more
openaire +1 more source
Advances in Space Research, 2017
Abstract In the study of the effectiveness of shielding materials against radiations, one of the main steps concerns with the validation of models describing the interaction processes of the radiation of interest with the material chosen for the shielding.
Emanuele Vardaci+8 more
openaire +3 more sources
Abstract In the study of the effectiveness of shielding materials against radiations, one of the main steps concerns with the validation of models describing the interaction processes of the radiation of interest with the material chosen for the shielding.
Emanuele Vardaci+8 more
openaire +3 more sources
Visualization for physics analysis improvement and applications in BESIII
Frontiers of PhysicsModern particle physics experiments usually rely on highly complex and large-scale spectrometer devices. In high energy physics experiments, visualization helps detector design, data quality monitoring, offline data processing, and has great potential ...
Zhi-Jun Li+8 more
semanticscholar +1 more source
Emerging exciton physics in transition metal dichalcogenide heterobilayers
Nature Reviews Materials, 2022Emma C Regan, Yongxin Zeng, Long Zhang
exaly