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

Informacje na temat projektu

SMARTHEP

Identyfikator umowy o grant: 956086

DOI

10.3030/956086

Projekt został zamknięty

Data podpisania przez KE 3 Maja 2021

Data rozpoczęcia 1 Października 2021

Data zakończenia 30 Września 2025

Finansowanie w ramach

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Koszt całkowity

€ 3 235 231,50

Wkład UE

€ 3 235 231,50

Koordynowany przez

THE UNIVERSITY OF MANCHESTER
United Kingdom

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

Publikacje

Other (4)

Baler -- Machine Learning Based Compression of Scientific Data

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

The LHCb upgrade I

Autorzy: The LHCb Collaboration
Opublikowane w: 2024
Wydawca: arXiv repository
DOI: 10.48550/arxiv.2305.10515

Atlas Experiment: Trigger Operation Public Results

Autorzy: Alice Ohlson
Opublikowane w: 2024
Wydawca: 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

Autorzy: CMS Collaboration
Opublikowane w: 2023
Wydawca: CERN

Conference proceedings (4)

The SMARTHEP European Training Network

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

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

Autorzy: Henrique Piñeiro Monteagudo, Leonardo Taccari, Aurel Pjetri, Francesco Sambo, Samuele Salti
Opublikowane w: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, Strona(/y) 535-544
Wydawca: IEEE
DOI: 10.1109/wacv61041.2025.00062

The ATLAS Run-3 Trigger Menu

Autorzy: Sofia Cella
Opublikowane w: Proceedings of 42nd International Conference on High Energy Physics — PoS(ICHEP2024), 2024, Strona(/y) 943
Wydawca: Sissa Medialab
DOI: 10.22323/1.476.0943

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

Autorzy: Andrea Benericetti, Niccolò Bellaccini, Henrique Piñeiro Monteagudo, Matteo Simoncini, Francesco Sambo
Opublikowane w: 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2024, Strona(/y) 1389-1394
Wydawca: 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

Autorzy: Laura Boggia, Bogdan Malaescu
Opublikowane w: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2509.07451

Applications of Deep Learning to physics workflows

Autorzy: 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,
Opublikowane w: High Energy Physics - Experiment, 2023, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2306.08106

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

Autorzy: Fotis I. Giasemis, Vladimir Lončar, Bertrand Granado, Vladimir Vava Gligorov
Opublikowane w: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2502.02304

Analysis Facilities White Paper

Autorzy: 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
Opublikowane w: High Energy Physics - Experiment, 2024, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2404.02100

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

Autorzy: The CMS Collaboration
Opublikowane w: To be submitted to Physics Reports, 2024, ISSN 0370-1573
Wydawca: Elsevier BV
DOI: 10.48550/arxiv.2403.16134

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

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

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

Autorzy: The ATLAS Collaboration
Opublikowane w: Submitted to JINST, 2024, ISSN 1748-0221
Wydawca: Institute of Physics
DOI: 10.48550/arxiv.2401.06630

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

Autorzy: Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu
Opublikowane w: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2506.20574

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

Autorzy: Correia, Anthony; Giasemis, Fotis; Garroum, Nabil; Gligorov, Vladimir; Granado, Bertrand
Opublikowane w: Physics: Instrumentation and Detectors, 2025, ISSN 2624-8174
Wydawca: 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

Autorzy: 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,
Opublikowane w: High Energy Physics - Experiment, 2025, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2506.14578

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

Autorzy: Anthony Correia, Fotis I. Giasemis, Nabil Garroum, Vladimir Vava Gligorov, Bertrand Granado
Opublikowane w: Journal of Instrumentation, Numer 19, 2024, Strona(/y) P12022, ISSN 1748-0221
Wydawca: Institute of Physics
DOI: 10.1088/1748-0221/19/12/p12022

Learning Traffic Anomalies from Generative Models on Real-Time Observations

Autorzy: Fotis I. Giasemis, Alexandros Sopasakis
Opublikowane w: Computer Science > Machine Learning, 2025, ISSN 2331-8422
Wydawca: Cornell University
DOI: 10.48550/arxiv.2502.01391

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

Autorzy: 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
Opublikowane w: Journal of Physics G: Nuclear and Particle Physics, Numer 52, 2025, Strona(/y) 030501, ISSN 0954-3899
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-6471/adaadc