SMARTHEP: Synergies between Machine leArning, Real Time analysis and Hybrid architectures for efficient Event Processing and decision making

Project Information

SMARTHEP

Grant agreement ID: 956086

DOI

10.3030/956086

Project closed

EC signature date 3 May 2021

Start date 1 October 2021

End date 30 September 2025

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 3 235 231,50

EU contribution

€ 3 235 231,50

Coordinated by

THE UNIVERSITY OF MANCHESTER
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (4)

Website and social media launched

Launch of the website and social media accounts

Network event/schools documentation - year 1

Documentation, reports and feedback for all Network events and schools published on website

Network event/schools documentation - year 2

Documentation, reports and feedback for all Network events and schools published on website

Fellow presentations at network events - year 2

Collection of public presentations from fellows at Network events highlighted on the website

Documents, reports (4)

Hybrid architecture whitepaper

Whitepaper on the state of the art on hybrid architectures (CPU+GPU) in RTA in SMARTHEP use cases

Review of triggers in LHC experiments

Review of the state of the art of the triggers of LHC collaborations and best practices

Mid-term report on communication and outreach

Report on commmunication, outreach and SMARTHEP Masterclass/WWDD.

Whitepapers on RTA-based searches in HEP

Whitepapers on the state of the art of fully RTA-based searches and anomaly detection in HEP and best practices

Publications

Other (4)

Baler -- Machine Learning Based Compression of Scientific Data

Author(s): Fritjof Bengtsson, Caterina Doglioni, Per Alexander Ekman, Axel Gallén, Pratik Jawahar, Alma Orucevic-Alagic, Marta Camps Santasmasas, Nicola Skidmore, Oliver Woolland
Published in: Physics > Computational Physics, 2023
Publisher: Arxiv
DOI: 10.48550/arxiv.2305.02283

The LHCb upgrade I

Author(s): The LHCb Collaboration
Published in: 2024
Publisher: arXiv repository
DOI: 10.48550/arxiv.2305.10515

Atlas Experiment: Trigger Operation Public Results

Author(s): Alice Ohlson
Published in: 2024
Publisher: CERN

Trigger efficiency studies of the CMS Run-3 Data Scouting of Jet, Electron and Photon objects and comparison with standard HLT paths during during proton-proton collisions at √s= 13.6 TeV

Author(s): CMS Collaboration
Published in: 2023
Publisher: CERN

Conference proceedings (4)

The SMARTHEP European Training Network

Author(s): James Andrew Gooding, Leon Bozianu, Carlos Cocha Toapaxi, Pratik Jawahar and Micol Olocco
Published in: 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), 2024
Publisher: EPJ web of conferences
DOI: 10.1051/epjconf/202429508022

RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation

Author(s): Henrique Piñeiro Monteagudo, Leonardo Taccari, Aurel Pjetri, Francesco Sambo, Samuele Salti
Published in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Page(s) 535-544
Publisher: IEEE
DOI: 10.1109/wacv61041.2025.00062

The ATLAS Run-3 Trigger Menu

Author(s): Sofia Cella
Published in: Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024), 2024, Page(s) 943
Publisher: Sissa Medialab
DOI: 10.22323/1.476.0943

An Object Detection Approach for Lane Change and Overtake Detection from Motion Profiles

Author(s): Andrea Benericetti, Niccolò Bellaccini, Henrique Piñeiro Monteagudo, Matteo Simoncini, Francesco Sambo
Published in: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024, Page(s) 1389-1394
Publisher: IEEE
DOI: 10.1109/itsc57777.2023.10422014

Peer reviewed articles (13)

Synthetic Data Generation with Lorenzetti for Time Series Anomaly Detection in High-Energy Physics Calorimeters

Author(s): Laura Boggia, Bogdan Malaescu
Published in: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2509.07451

Applications of Deep Learning to physics workflows

Author(s): Manan Agarwal, Jay Alameda, Jeroen Audenaert, Will Benoit, Damon Beveridge, Meghna Bhattacharya, Chayan Chatterjee, Deep Chatterjee, Andy Chen, Muhammed Saleem Cholayil, Chia-Jui Chou, Sunil Choudhary, Michael Coughlin, Maximilian Dax, Aman Desai, Andrea Di Luca, Javier Mauricio Duarte, Steven Farrell, Yongbin Feng, Pooyan Goodarzi, Ekaterina Govorkova, Matthew Graham, Jonathan Guiang, Alec Gunny,
Published in: High Energy Physics - Experiment, 2023, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2306.08106

Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb

Author(s): Fotis I. Giasemis, Vladimir Lončar, Bertrand Granado, Vladimir Vava Gligorov
Published in: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2502.02304

Analysis Facilities White Paper

Author(s): D. Ciangottini, A. Forti, L. Heinrich, N. Skidmore, C. Alpigiani, M. Aly, D. Benjamin, B. Bockelman, L. Bryant, J. Catmore, M. D'Alfonso, A. Delgado Peris, C. Doglioni, G. Duckeck, P. Elmer, J. Eschle, M. Feickert, J. Frost, R. Gardner, V. Garonne, M. Giffels, J. Gooding, E. Gramstad, L. Gray, B. Hegner, A. Held, J. Hernández, B. Holzman, F. Hu, B. K. Jashal, D. Kondratyev, E. Kourlitis, L. Krecz
Published in: High Energy Physics - Experiment, 2024, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2404.02100

Enriching the physics program of the CMS experiment via data scouting and data parking

Author(s): The CMS Collaboration
Published in: To be submitted to Physics Reports, 2024, ISSN 0370-1573
Publisher: Elsevier BV
DOI: 10.48550/arxiv.2403.16134

ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts

Author(s): Aurel Pjetri, Stefano Caprasecca, Leonardo Taccari, Matteo Simoncini, Henrique Piñeiro Monteagudo, Wallace Walter, Douglas Coimbra de Andrade, Francesco Sambo, Andrew David Bagdanov
Published in: Computer Science > Computer Vision and Pattern Recognition, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2409.17851

The ATLAS Trigger System for LHC Run 3 and Trigger performance in 2022

Author(s): The ATLAS Collaboration
Published in: Submitted to JINST, 2024, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.48550/arxiv.2401.06630

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

Author(s): Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu
Published in: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2506.20574

Graph Neural Network-Based Pipeline for Track Finding in the Velo at LHCb

Author(s): Correia, Anthony; Giasemis, Fotis; Garroum, Nabil; Gligorov, Vladimir; Granado, Bertrand
Published in: Physics: Instrumentation and Detectors, 2025, ISSN 2624-8174
Publisher: Physics
DOI: 10.48550/arxiv.2406.12869

Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb

Author(s): Laura Boggia, Carlos Cocha, Fotis Giasemis, Joachim Hansen, Patin Inkaew, Kaare Endrup Iversen, Pratik Jawahar, Henrique Pineiro Monteagudo, Micol Olocco, Sten Astrand, Martino Borsato, Leon Bozianu, Steven Schramm,
Published in: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2506.14578

Graph Neural Network-based track finding in the LHCb vertex detector

Author(s): Anthony Correia, Fotis I. Giasemis, Nabil Garroum, Vladimir Vava Gligorov, Bertrand Granado
Published in: Journal of Instrumentation, Issue 19, 2024, Page(s) P12022, ISSN 1748-0221
Publisher: Institute of Physics
DOI: 10.1088/1748-0221/19/12/p12022

Learning Traffic Anomalies from Generative Models on Real-Time Observations

Author(s): Fotis I. Giasemis, Alexandros Sopasakis
Published in: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2502.01391

Summary of the trigger systems of the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb

Author(s): J Albrecht, L Bozianu, L Calefice, S Cella, C E Cocha Toapaxi, C Doglioni, V V Gligorov, J A Gooding, K E Iversen, P Inkaew, D Magdalinski, A Sopasakis, D J Wilson-Edwards
Published in: Journal of Physics G: Nuclear and Particle Physics, Issue 52, 2025, Page(s) 030501, ISSN 0954-3899
Publisher: Institute of Physics Publishing
DOI: 10.1088/1361-6471/adaadc