Work

The SMARTHEP European Training Network

Year: 2024

Type: conference-paper

Abstract: Synergies between MAchine learning, Real-Time analysis and Hybrid architectures for efficient Event Processing and decision-making (SMARTHEP) is a European Training Network, training a new generation of Early Stage Researchers (ESRs) to advance real-time decision-making, driving data-collection and analysis towards synonymity. SMARTHEP brings together scientists from major LHC collaborations at the frontiers of real-time analysis (RTA) and key specialists from computer science and industry. By solving concrete problems as a community, SMARTHEP will further the adoption of RTA techniques, enabling future High Energy Physics (HEP) discoveries and generating impact in industry. ESRs will contribute to European growth, leveraging their hands-on experience in machine learning and accelerators towards commercial deliverables in fields that can profit most from RTA, e.g., transport, manufacturing, and finance. This contribution presents the training and outreach plan for the network, and is intended as an opportunity for further collaboration and feedback from the CHEP community.

Source: EPJ Web of Conferences

DOI: 10.1051/epjconf/202429508022

Authors: James Andrew Gooding, Leon Bozianu, Carlos Cocha Toapaxi, Pratik Jawahar, Micol Olocco

Institutions: TU Dortmund University, University of Geneva, Heidelberg University, University of Manchester

Language: English

Topic: Particle physics theoretical and experimental studies

Subfield: Nuclear and High Energy Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4396661908

FWCI: 1.856

Cites: 15

Cited by: 1

Related to: 10