FPGAs-as-a-Service Toolkit (FaaST)
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conference
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November 2020 |
Metric Space of Collider Events
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journal
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July 2019 |
Similarity hashing for charged particle tracking
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conference
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December 2019 |
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
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journal
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July 2019 |
Jet flavour classification using DeepJet
|
journal
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December 2020 |
Electromagnetic showers beyond shower shapes
- de Oliveira, Luke; Nachman, Benjamin; Paganini, Michela
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 951
https://doi.org/10.1016/j.nima.2019.162879
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journal
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January 2020 |
Fast inference of deep neural networks in FPGAs for particle physics
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journal
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July 2018 |
Energy flow networks: deep sets for particle jets
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journal
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January 2019 |
JEDI-net: a jet identification algorithm based on interaction networks
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journal
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January 2020 |
PYTHIA 6.4 physics and manual
|
journal
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May 2006 |
GPU coprocessors as a service for deep learning inference in high energy physics
|
journal
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April 2021 |
Interaction networks for the identification of boosted decays
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journal
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July 2020 |
Simulated particle-level events of ttbar and QCD with PU200 using Pythia8+Delphes3 for machine learned particle flow (MLPF)
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dataset
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January 2021 |
ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$tt¯ events in pp collisions at $$\sqrt{s}=13$$s=13 TeV
|
journal
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November 2019 |
How to GAN away detector effects
|
journal
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January 2020 |
Measurement of the diffractive structure function
|
journal
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January 1998 |
Physics requirements for the FCC-hh calorimeter system
|
journal
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January 2019 |
Calorimetry with deep learning: particle simulation and reconstruction for collider physics
|
journal
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July 2020 |
An analysis of the charged and neutral energy flow in e+e− hadronic annihilation at 34 GeV, and a determination of the QCD effective coupling constant
|
journal
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July 1982 |
Dynamic Graph CNN for Learning on Point Clouds
|
journal
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October 2019 |
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
|
journal
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January 2021 |
Measurement of the diffractive cross section in deep inelastic scattering using ZEUS 1994 data
|
journal
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January 1999 |
Performance of the DELPHI detector
- Abreu, P.; Adam, W.; Adye, T.
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 378, Issue 1-2
https://doi.org/10.1016/0168-9002(96)00463-9
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journal
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August 1996 |
Graph neural networks in particle physics
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journal
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January 2021 |
ABCNet: an attention-based method for particle tagging
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journal
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June 2020 |
A brief introduction to PYTHIA 8.1
|
journal
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June 2008 |
How to GAN LHC events
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journal
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January 2019 |
Study of jet Energy Resolution at cdf
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journal
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October 2001 |
DELPHES 3: a modular framework for fast simulation of a generic collider experiment
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journal
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February 2014 |
Jet tagging via particle clouds
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journal
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March 2020 |
A Search for Supersymmetric Higgs Bosons in the Di-tau Decay Mode in Proton - Anti-proton Collisions at 1.8 TeV
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report
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January 2003 |
Supervised jet clustering with graph neural networks for Lorentz boosted bosons
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journal
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October 2020 |
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing
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journal
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October 2019 |
FCC-ee: The Lepton Collider: Future Circular Collider Conceptual Design Report Volume 2
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journal
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June 2019 |
Measurement of <mml:math altimg="si1.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:mi>σ</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>p</mml:mi><mml:mover accent="true"><mml:mi>p</mml:mi><mml:mo>¯</mml:mo></mml:mover><mml:mo>→</mml:mo><mml:mi>Z</mml:mi><mml:mo>+</mml:mo><mml:mi>X</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mi mathvariant="normal">Br</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>Z</mml:mi><mml:mo>→</mml:mo><mml:msup><mml:mi>τ</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>τ</mml:mi><mml:mo>−</mml:mo></mml:msup><mml:mo stretchy="false">)</mml:mo></mml:math> at <mml:math altimg="si2.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> TeV</mml:mtext></mml:math>
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journal
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January 2009 |
Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
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journal
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May 2018 |
Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 $$\text {TeV}$$TeV
|
journal
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October 2019 |
Measurement of in collisions at
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journal
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May 2007 |
FCC-hh: The Hadron Collider: Future Circular Collider Conceptual Design Report Volume 3
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journal
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July 2019 |
HepSim: A Repository with Predictions for High-Energy Physics Experiments
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journal
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January 2015 |
Jet reconstruction and performance using particle flow with the ATLAS Detector
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journal
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July 2017 |
Challenges of Particle Flow reconstruction in the CMS High-Granularity Calorimeter at the High-Luminosity LHC
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journal
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November 2017 |
Pileup mitigation at the Large Hadron Collider with graph neural networks
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journal
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July 2019 |
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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conference
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July 2017 |
Performance of the ALEPH detector at LEP
- Buskulic, D.; Casper, D.; De Bonis, I.
-
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 360, Issue 3
https://doi.org/10.1016/0168-9002(95)00138-7
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journal
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June 1995 |
Particle-flow reconstruction and global event description with the CMS detector
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journal
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October 2017 |
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data
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journal
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September 2020 |
Graph Neural Networks for Particle Tracking and Reconstruction
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text
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January 2020 |
Simulated particle-level dataset of ttbar with PU200 using Pythia8+Delphes3 for machine learned particle flow (MLPF)
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dataset
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January 2021 |