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

Informations projet

SMARTHEP

N° de convention de subvention: 956086

DOI

10.3030/956086

Projet clôturé

Date de signature de la CE 3 Mai 2021

Date de début 1 Octobre 2021

Date de fin 30 Septembre 2025

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 3 235 231,50

Contribution de l’UE

€ 3 235 231,50

Coordonné par

THE UNIVERSITY OF MANCHESTER
United Kingdom

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Auteurs: Fritjof Bengtsson, Caterina Doglioni, Per Alexander Ekman, Axel Gallén, Pratik Jawahar, Alma Orucevic-Alagic, Marta Camps Santasmasas, Nicola Skidmore, Oliver Woolland
Publié dans: Physics > Computational Physics, 2023
Éditeur: Arxiv
DOI: 10.48550/arxiv.2305.02283

The LHCb upgrade I

Auteurs: The LHCb Collaboration
Publié dans: 2024
Éditeur: arXiv repository
DOI: 10.48550/arxiv.2305.10515

Atlas Experiment: Trigger Operation Public Results

Auteurs: Alice Ohlson
Publié dans: 2024
Éditeur: 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

Auteurs: CMS Collaboration
Publié dans: 2023
Éditeur: CERN

Conference proceedings (4)

The SMARTHEP European Training Network

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

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

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

The ATLAS Run-3 Trigger Menu

Auteurs: Sofia Cella
Publié dans: Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024), 2024, Page(s) 943
Éditeur: Sissa Medialab
DOI: 10.22323/1.476.0943

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

Auteurs: Andrea Benericetti, Niccolò Bellaccini, Henrique Piñeiro Monteagudo, Matteo Simoncini, Francesco Sambo
Publié dans: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024, Page(s) 1389-1394
Éditeur: 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

Auteurs: Laura Boggia, Bogdan Malaescu
Publié dans: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2509.07451

Applications of Deep Learning to physics workflows

Auteurs: 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,
Publié dans: High Energy Physics - Experiment, 2023, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2306.08106

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

Auteurs: Fotis I. Giasemis, Vladimir Lončar, Bertrand Granado, Vladimir Vava Gligorov
Publié dans: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2502.02304

Analysis Facilities White Paper

Auteurs: 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
Publié dans: High Energy Physics - Experiment, 2024, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2404.02100

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

Auteurs: The CMS Collaboration
Publié dans: To be submitted to Physics Reports, 2024, ISSN 0370-1573
Éditeur: Elsevier BV
DOI: 10.48550/arxiv.2403.16134

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

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

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

Auteurs: The ATLAS Collaboration
Publié dans: Submitted to JINST, 2024, ISSN 1748-0221
Éditeur: Institute of Physics
DOI: 10.48550/arxiv.2401.06630

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

Auteurs: Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu
Publié dans: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2506.20574

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

Auteurs: Correia, Anthony; Giasemis, Fotis; Garroum, Nabil; Gligorov, Vladimir; Granado, Bertrand
Publié dans: Physics: Instrumentation and Detectors, 2025, ISSN 2624-8174
Éditeur: 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

Auteurs: 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,
Publié dans: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2506.14578

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

Auteurs: Anthony Correia, Fotis I. Giasemis, Nabil Garroum, Vladimir Vava Gligorov, Bertrand Granado
Publié dans: Journal of Instrumentation, Numéro 19, 2024, Page(s) P12022, ISSN 1748-0221
Éditeur: Institute of Physics
DOI: 10.1088/1748-0221/19/12/p12022

Learning Traffic Anomalies from Generative Models on Real-Time Observations

Auteurs: Fotis I. Giasemis, Alexandros Sopasakis
Publié dans: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Éditeur: Cornell University
DOI: 10.48550/arxiv.2502.01391

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

Auteurs: 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
Publié dans: Journal of Physics G: Nuclear and Particle Physics, Numéro 52, 2025, Page(s) 030501, ISSN 0954-3899
Éditeur: Institute of Physics Publishing
DOI: 10.1088/1361-6471/adaadc