Results 291 to 300 of about 552,537 (332)

Intelligent problem solving in process control of an event filter cluster for a particle physics experiment

Expert Systems with Applications, 2011
Modern particle physics experiments observing collisions of particle beams generate large amounts of data. Complex trigger and data acquisition systems are built to select on line the most interesting events and write them to persistent storage. The final stage of this selection process nowadays often happens on large computer clusters.
Kristina Marasović, Domagoj Jakobović
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The FLUKA code, galactic cosmic ray and Solar Energetic Particle events: From fundamental physics to space radiation and commercial aircraft doses

2008 IEEE Nuclear Science Symposium Conference Record, 2008
The FLUKA Monte Carlo code has been widely applied and benchmarked in recent years to problems related to Galactic Cosmic Rays (GCR) and Solar Energetic Particle (SEP) events. Applications range from fundamental cosmic ray and neutrino physics, to doses to commercial aircraft and space radiation issues in low orbit or in deep space. The main results of
G. Battistoni
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Grid-enabled particle physics event analysis: experiences using a 10 Gb, high-latency network for a high-energy physics application

Future Generation Computer Systems, 2003
This paper examines issues encountered attempting to exploit a high-bandwidth, high-latency link in support of a high-energy physics (HEP) analysis application. The primary issue was that the TCP additive increase/multiplicative decrease (AIMD) algorithm is not suitable for "long fat networks". While this is a known problem, the magnitude of the impact
William Allcock, John Bresnahan, Julian Bunn, Sandeep Kumar Hegde, Joe Insley, Raj Kettimuthu, H. B. Newman, S. Ravot, T. Rimovsky, Conrad Steenberg, Linda Winkler   +10 more
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Process Control of an Event Filter Farm for a Particle Physics Experiment Based on Expert System Technology

, 2007
Modern particle physics experiments observing collisions of particle beams generate large amounts of data. Large trigger and data acquisition systems are built to select on-line the most interesting events and write them to persistent storage. The final stage of this selection process nowadays often happens on large computer farms.
Kristina Marasović, Bojana Dalbelo-Bašić, V. Brigljević   +2 more
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Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs

International Conference on Field-Programmable Logic and Applications, 2022
This 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, Marcus Loo, Hongxiang Fan, M. Pierini, A. Tapper, W. Luk   +5 more
semanticscholar   +1 more source

MadMiner: Machine Learning-Based Inference for Particle Physics

Computing and Software for Big Science, 2019
Precision measurements at the LHC often require analyzing high-dimensional event data for subtle kinematic signatures, which is challenging for established analysis methods.
J. Brehmer, F. Kling, Irina Espejo, Kyle Cranmer   +3 more
semanticscholar   +1 more source

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Computing and Software for Big Science, 2019
Large-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, P. Harris, S. Hauck, B. Holzman, Shih-Chieh Hsu, S. Jindariani, Suffian N. Khan, B. Kreis, Brian Lee, Miaoyuan Liu, V. Loncar, J. Ngadiuba, K. Pedro, Brandon Perez, M. Pierini, D. Rankin, N. Tran, Matthew Trahms, A. Tsaris, Colin Versteeg, Ted Way, Dustin Werran, Zhenbin Wu   +22 more
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Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion

SciPost Physics
The 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, Kevin Greif, M. Fenton, A. Ghosh, Pierre Baldi, D. Whiteson   +5 more
semanticscholar   +1 more source

Physical characterization of aerosol particles during the Chinese New Year’s firework events

Atmospheric Environment, 2010
Abstract 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
Min Zhang, Xuemei Wang, Jianmin Chen, Tiantao Cheng, Tao Wang, Xin Yang, Youguo Gong, Fuhai Geng, Changhong Chen   +8 more
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A fast Monte Carlo event generator for particle physics

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1986
Abstract The principal component analysis is applied to a data sample, with the aim of retaining the smallest number of variables necessary to adequately describe the data. We find that in a particular example, of the initial 20 variables necessary to fully describe the data, only 10 principal components suffice to determine their structure.
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