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

Información del proyecto

SMARTHEP

Identificador del acuerdo de subvención: 956086

DOI

10.3030/956086

Proyecto cerrado

Fecha de la firma de la CE 3 Mayo 2021

Fecha de inicio 1 Octubre 2021

Fecha de finalización 30 Septiembre 2025

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 3 235 231,50

Aportación de la UE

€ 3 235 231,50

Coordinado por

THE UNIVERSITY OF MANCHESTER
United Kingdom

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Other (4)

Baler -- Machine Learning Based Compression of Scientific Data

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

The LHCb upgrade I

Autores: The LHCb Collaboration
Publicado en: 2024
Editor: arXiv repository
DOI: 10.48550/arxiv.2305.10515

Atlas Experiment: Trigger Operation Public Results

Autores: Alice Ohlson
Publicado en: 2024
Editor: 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

Autores: CMS Collaboration
Publicado en: 2023
Editor: CERN

Conference proceedings (4)

The SMARTHEP European Training Network

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

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

Autores: Henrique Piñeiro Monteagudo, Leonardo Taccari, Aurel Pjetri, Francesco Sambo, Samuele Salti
Publicado en: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Página(s) 535-544
Editor: IEEE
DOI: 10.1109/wacv61041.2025.00062

The ATLAS Run-3 Trigger Menu

Autores: Sofia Cella
Publicado en: Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024), 2024, Página(s) 943
Editor: Sissa Medialab
DOI: 10.22323/1.476.0943

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

Autores: Andrea Benericetti, Niccolò Bellaccini, Henrique Piñeiro Monteagudo, Matteo Simoncini, Francesco Sambo
Publicado en: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024, Página(s) 1389-1394
Editor: 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

Autores: Laura Boggia, Bogdan Malaescu
Publicado en: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2509.07451

Applications of Deep Learning to physics workflows

Autores: 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,
Publicado en: High Energy Physics - Experiment, 2023, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2306.08106

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

Autores: Fotis I. Giasemis, Vladimir Lončar, Bertrand Granado, Vladimir Vava Gligorov
Publicado en: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2502.02304

Analysis Facilities White Paper

Autores: 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
Publicado en: High Energy Physics - Experiment, 2024, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2404.02100

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

Autores: The CMS Collaboration
Publicado en: To be submitted to Physics Reports, 2024, ISSN 0370-1573
Editor: Elsevier BV
DOI: 10.48550/arxiv.2403.16134

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

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

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

Autores: The ATLAS Collaboration
Publicado en: Submitted to JINST, 2024, ISSN 1748-0221
Editor: Institute of Physics
DOI: 10.48550/arxiv.2401.06630

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

Autores: Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu
Publicado en: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2506.20574

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

Autores: Correia, Anthony; Giasemis, Fotis; Garroum, Nabil; Gligorov, Vladimir; Granado, Bertrand
Publicado en: Physics: Instrumentation and Detectors, 2025, ISSN 2624-8174
Editor: 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

Autores: 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,
Publicado en: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2506.14578

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

Autores: Anthony Correia, Fotis I. Giasemis, Nabil Garroum, Vladimir Vava Gligorov, Bertrand Granado
Publicado en: Journal of Instrumentation, Edición 19, 2024, Página(s) P12022, ISSN 1748-0221
Editor: Institute of Physics
DOI: 10.1088/1748-0221/19/12/p12022

Learning Traffic Anomalies from Generative Models on Real-Time Observations

Autores: Fotis I. Giasemis, Alexandros Sopasakis
Publicado en: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/arxiv.2502.01391

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

Autores: 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
Publicado en: Journal of Physics G: Nuclear and Particle Physics, Edición 52, 2025, Página(s) 030501, ISSN 0954-3899
Editor: Institute of Physics Publishing
DOI: 10.1088/1361-6471/adaadc