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

Informazioni relative al progetto

SMARTHEP

ID dell’accordo di sovvenzione: 956086

DOI

10.3030/956086

Progetto chiuso

Data della firma CE 3 Maggio 2021

Data di avvio 1 Ottobre 2021

Data di completamento 30 Settembre 2025

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 235 231,50

Contributo UE

€ 3 235 231,50

Coordinato da

THE UNIVERSITY OF MANCHESTER
United Kingdom

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Other (4)

Baler -- Machine Learning Based Compression of Scientific Data

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

The LHCb upgrade I

Autori: The LHCb Collaboration
Pubblicato in: 2024
Editore: arXiv repository
DOI: 10.48550/arxiv.2305.10515

Atlas Experiment: Trigger Operation Public Results

Autori: Alice Ohlson
Pubblicato in: 2024
Editore: 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

Autori: CMS Collaboration
Pubblicato in: 2023
Editore: CERN

Conference proceedings (4)

The SMARTHEP European Training Network

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

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

Autori: Henrique Piñeiro Monteagudo, Leonardo Taccari, Aurel Pjetri, Francesco Sambo, Samuele Salti
Pubblicato in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Pagina/e 535-544
Editore: IEEE
DOI: 10.1109/wacv61041.2025.00062

The ATLAS Run-3 Trigger Menu

Autori: Sofia Cella
Pubblicato in: Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024), 2024, Pagina/e 943
Editore: Sissa Medialab
DOI: 10.22323/1.476.0943

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

Autori: Andrea Benericetti, Niccolò Bellaccini, Henrique Piñeiro Monteagudo, Matteo Simoncini, Francesco Sambo
Pubblicato in: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024, Pagina/e 1389-1394
Editore: 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

Autori: Laura Boggia, Bogdan Malaescu
Pubblicato in: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2509.07451

Applications of Deep Learning to physics workflows

Autori: 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,
Pubblicato in: High Energy Physics - Experiment, 2023, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2306.08106

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

Autori: Fotis I. Giasemis, Vladimir Lončar, Bertrand Granado, Vladimir Vava Gligorov
Pubblicato in: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2502.02304

Analysis Facilities White Paper

Autori: 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
Pubblicato in: High Energy Physics - Experiment, 2024, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2404.02100

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

Autori: The CMS Collaboration
Pubblicato in: To be submitted to Physics Reports, 2024, ISSN 0370-1573
Editore: Elsevier BV
DOI: 10.48550/arxiv.2403.16134

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

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

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

Autori: The ATLAS Collaboration
Pubblicato in: Submitted to JINST, 2024, ISSN 1748-0221
Editore: Institute of Physics
DOI: 10.48550/arxiv.2401.06630

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

Autori: Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu
Pubblicato in: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2506.20574

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

Autori: Correia, Anthony; Giasemis, Fotis; Garroum, Nabil; Gligorov, Vladimir; Granado, Bertrand
Pubblicato in: Physics: Instrumentation and Detectors, 2025, ISSN 2624-8174
Editore: 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

Autori: 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,
Pubblicato in: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2506.14578

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

Autori: Anthony Correia, Fotis I. Giasemis, Nabil Garroum, Vladimir Vava Gligorov, Bertrand Granado
Pubblicato in: Journal of Instrumentation, Numero 19, 2024, Pagina/e P12022, ISSN 1748-0221
Editore: Institute of Physics
DOI: 10.1088/1748-0221/19/12/p12022

Learning Traffic Anomalies from Generative Models on Real-Time Observations

Autori: Fotis I. Giasemis, Alexandros Sopasakis
Pubblicato in: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Editore: Cornell University
DOI: 10.48550/arxiv.2502.01391

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

Autori: 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
Pubblicato in: Journal of Physics G: Nuclear and Particle Physics, Numero 52, 2025, Pagina/e 030501, ISSN 0954-3899
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6471/adaadc