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Daniel Murnane
Daniel Murnane
Niels Bohr Institute, University of Copenhagen & Berkeley Lab
在 nbi.ku.dk 的电子邮件经过验证 - 首页
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引用次数
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年份
Graph neural networks for particle reconstruction in high energy physics detectors
X Ju, S Farrell, P Calafiura, D Murnane, L Gray, T Klijnsma, K Pedro, ...
arXiv preprint arXiv:2003.11603, 2020
1212020
ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods
GAMBIT Scanner Workgroup:, C Balázs, A Buckley, LA Dal, B Farmer, ...
The European Physical Journal C 77, 1-36, 2017
1012017
Performance of a geometric deep learning pipeline for HL-LHC particle tracking
X Ju, D Murnane, P Calafiura, N Choma, S Conlon, S Farrell, Y Xu, ...
The European Physical Journal C 81, 1-14, 2021
652021
Graph neural networks in particle physics: Implementations, innovations, and challenges
S Thais, P Calafiura, G Chachamis, G DeZoort, J Duarte, S Ganguly, ...
arXiv preprint arXiv:2203.12852, 2022
322022
Symmetry group equivariant architectures for physics
A Bogatskiy, S Ganguly, T Kipf, R Kondor, DW Miller, D Murnane, ...
arXiv preprint arXiv:2203.06153, 2022
272022
Track seeding and labelling with embedded-space graph neural networks
N Choma, D Murnane, X Ju, P Calafiura, S Conlon, S Farrell, G Cerati, ...
arXiv preprint arXiv:2007.00149, 2020
202020
Accelerating the inference of the Exa. TrkX pipeline
A Lazar, X Ju, D Murnane, P Calafiura, S Farrell, Y Xu, M Spiropulu, ...
Journal of Physics: Conference Series 2438 (1), 012008, 2023
132023
Graph neural network for object reconstruction in liquid argon time projection chambers
J Hewes, A Aurisano, G Cerati, J Kowalkowski, C Lee, W Liao, A Day, ...
EPJ Web of Conferences 251, 03054, 2021
102021
Constraining fine tuning in Composite Higgs Models with partially composite leptons
J Barnard, D Murnane, M White, AG Williams
Journal of High Energy Physics 2017 (9), 1-31, 2017
102017
Hierarchical Graph Neural Networks for Particle Track Reconstruction
R Liu, P Calafiura, S Farrell, X Ju, DT Murnane, TM Pham
arXiv preprint arXiv:2303.01640, 2023
72023
Exploring fine-tuning of the next-to-minimal composite Higgs model
D Murnane, M White, AG Williams
Journal of High Energy Physics 2019 (4), 1-27, 2019
72019
Equivariant graph neural networks for charged particle tracking
D Murnane, S Thais, A Thete
arXiv preprint arXiv:2304.05293, 2023
62023
ATLAS ITk Track Reconstruction with a GNN-based pipeline
S Caillou, P Calafiura, C Rougier, J Stark, DT Murnane, A Vallier, X Ju, ...
ATL-COM-ITK-2022-057, 2022
62022
Heterogeneous graph neural network for identifying hadronically decayed tau leptons at the high luminosity LHC
A Huang, X Ju, J Lyons, D Murnane, M Pettee, L Reed
Journal of Instrumentation 18 (07), P07001, 2023
52023
Semi-equivariant GNN architectures for jet tagging
D Murnane, S Thais, J Wong
Journal of Physics: Conference Series 2438 (1), 012121, 2023
52023
Graph neural networks for particle reconstruction in high energy physics detectors (2020)
X Ju, S Farrell, P Calafiura, D Murnane, LG Prabhat, T Klijnsma, K Pedro, ...
arXiv preprint arXiv:2003.11603, 0
5
Convergent Bayesian global fits of 4D composite Higgs models
E Carragher, W Handley, D Murnane, P Stangl, W Su, M White, ...
Journal of High Energy Physics 2021 (5), 1-77, 2021
42021
The landscape of composite Higgs models
DT Murnane
32019
Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain
S Caillou, P Calafiura, X Ju, D Murnane, T Pham, C Rougier, J Stark, ...
EPJ Web of Conferences 295, 03030, 2024
22024
Reconstruction of Large Radius Tracks with the Exa. TrkX pipeline
CY Wang, X Ju, SC Hsu, D Murnane, P Calafiura, S Farrell, M Spiropulu, ...
Journal of Physics: Conference Series 2438 (1), 012117, 2023
22023
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