White papers: Computational Frontier (CompF)

46 papers.

TitleTopicsDatearXiv
Machine learning using rapidity-mass matrices for event classification problems in HEP
S. V. Chekanov
2018-10-151810.06669
HL-LHC Computing Review: Common Tools and Community Software
HEP Software Foundation
2020-08-312008.13636
Jas4pp -- a Data-Analysis Framework for Physics and Detector Studies
S. V. Chekanov, G. Gavalian, N. A. Graf
2020-11-102011.05329
Coffea-casa: an analysis facility prototype
Matous Adamec, Garhan Attebury, Kenneth Bloom, et al.
2021-03-022103.01871
HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators
The HSF Physics Event Generator WG, :, Efe Yazgan, et al.
2021-09-302109.14938
HL-LHC Computing Review Stage 2, Common Software Projects: Data Science Tools for Analysis
Jim Pivarski, Eduardo Rodrigues, Kevin Pedro, et al.
2022-02-042202.02194
Applications of Machine Learning to Lattice Quantum Field Theory
Denis Boyda, Salvatore Calì, Sam Foreman, et al.
2022-02-102202.05838
Adaptive Machine Learning for Time-Varying Systems: Towards 6D Phase Space Diagnostics of Short Intense Charged Particle Beams
Alexander Scheinker, Spencer Gessner
2022-03-082203.04391
Tensor networks for High Energy Physics: contribution to Snowmass 2021
Yannick Meurice, James C. Osborn, Ryo Sakai, et al.
2022-03-092203.04902
DUNE Software and High Performance Computing
Bonnie Fleming, Kyle Knoepfel, Meifeng Lin, et al.
2022-03-112203.06104
Solving Simulation Systematics in and with AI/ML
Brett Viren, Jin Huang, Yi Huang, et al.
2022-03-112203.06112
Symmetry Group Equivariant Architectures for Physics
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, et al.
2022-03-112203.06153
Deploying in-network caches in support of distributed scientific data sharing
Alex Sim, Ezra Kissel, Chin Guok
2022-03-142203.06843
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Travis S. Humble, Andrea Delgado, Raphael Pooser, et al.
2022-03-142203.07091
HEP computing collaborations for the challenges of the next decade
Simone Campana, Alessandro Di Girolamo, Paul Laycock, et al.
2022-03-142203.07237
Snowmass2021 Computational Frontier White Paper: Cosmological Simulations and Modeling
Marcelo A. Alvarez, Arka Banerjee, Simon Birrer, et al.
2022-03-142203.07347
Belle II grid-based user analysis
J. V. Bennett, J. Guilliams, M. Hernandez Villanueva, et al.
2022-03-152203.07564
Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments
Krzysztof Genser, Vincent R. Pascuzzi, others
2022-03-152203.07614
Software and Computing for Small HEP Experiments
Costas Andreopoulos, Stephen Bailey, Deborah Bard, et al.
2022-03-152203.07645
Data Storage for HEP Experiments in the Era of High-Performance Computing
Amit Bashyal, Peter Van Gemmeren, Saba Sehrish, et al.
2022-03-152203.07885
Analysis Facilities for HL-LHC
Doug Benjamin, Kenneth Bloom, Brian Bockelman, et al.
2022-03-152203.08010
Data Preservation for Cosmology
Marcelo Alvarez, Stephen Bailey, Deborah Bard, et al.
2022-03-152203.08113
Data Transfer and Network Services management for Domain Science Workflows
Tom Lehman, Xi Yang, Chin Guok, et al.
2022-03-152203.08280
Snowmass21 Accelerator Modeling Community White Paper
S. Biedron, L. Brouwer, D. L. Bruhwiler, et al.
2022-03-162203.08335
Dark-matter And Neutrino Computation Explored (DANCE) Community Input to Snowmass
Amy Roberts, Christopher Tunnell, Belina von Krosigk, et al.
2022-03-162203.08338
Quantum Computing for Data Analysis in High-Energy Physics
Andrea Delgado, Kathleen E. Hamilton, Prasanna Date, et al.
2022-03-152203.08805
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, et al.
2022-03-152203.08806
Analysis Cyberinfrastructure: Challenges and Opportunities
Kevin Lannon, Paul Brenner, Mike Hildreth, et al.
2022-03-162203.08811
Towards an HPC Complementary Computing Facility
K. Herner, M. Kirby, S. Timm
2022-03-152203.08861
Deep learning applications for quality control in particle detector construction
N. Akchurin, J. Damgov, S. Dugad, et al.
2022-03-162203.08969
Celeritas: GPU-accelerated particle transport for detector simulation in High Energy Physics experiments
S. C. Tognini, P. Canal, T. M. Evans, et al.
2022-03-162203.09467
Simulations for the Development of Quantum Computational Devices for HEP
James B. Kowalkowski, Adam L. Lyon
2022-03-182203.09740
Analysis Description Language: A DSL for HEP Analysis
Harrison B. Prosper, Sezen Sekmen, Gokhan Unel
2022-03-182203.09886
Portability: A Necessary Approach for Future Scientific Software
Meghna Bhattacharya, Paolo Calafiura, Taylor Childers, et al.
2022-03-162203.09945
Data and Analysis Preservation, Recasting, and Reinterpretation
Stephen Bailey, Christian Bierlich, Andy Buckley, et al.
2022-03-182203.10057
Collaborative Computing Support for Analysis Facilities Exploiting Software as Infrastructure Techniques
Maria Acosta Flechas, Garhan Attebury, Kenneth Bloom, et al.
2022-03-182203.10161
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Savannah Thais, Paolo Calafiura, Grigorios Chachamis, et al.
2022-03-232203.12852
The CAFAna framework for neutrino analysis
C. Backhouse
2022-03-252203.13768
Evolution of HEP Processing Frameworks
Christopher D. Jones, Kyle Knoepfel, Paolo Calafiura, et al.
2022-03-162203.14345
Physics Community Needs, Tools, and Resources for Machine Learning
Philip Harris, Erik Katsavounidis, William Patrick McCormack, et al.
2022-03-302203.16255
Quantum Networks for High Energy Physics
Andrei Derevianko, Eden Figueroa, Julián MartÍnez-Rincón, et al.
2022-03-312203.16979
Lattice QCD and the Computational Frontier
Peter Boyle, Dennis Bollweg, Richard Brower, et al.
2022-03-312204.00039
Quantum Simulation for High Energy Physics
Christian W. Bauer, Zohreh Davoudi, A. Baha Balantekin, et al.
2022-04-072204.03381
Computational challenges for multi-loop collider phenomenology
Fernando Febres Cordero, Andreas von Manteuffel, Tobias Neumann
2022-04-082204.04200
Quantum computing hardware for HEP algorithms and sensing
M. Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman, et al.
2022-04-182204.08605
Explainable AI for High Energy Physics
Mark S. Neubauer, Avik Roy
2022-06-142206.06632