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Advances in Data Science and AI Seminar | How to make the most of high energy physics data with real-time analysis and AI

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Dates:10 May 2022
Times:14:00 - 15:00
What is it:Seminar
Organiser:Digital Futures
Who is it for:University staff, External researchers, Alumni, Current University students
Speaker:Caterina Doglioni
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  • In group "(DF) Data Science and AI"
  • By Digital Futures

Caterina Doglioni is Professor of Particle Physics at The University of Manchester and throughout her research career has been working on the ATLAS experiment at the LHC at CERN.

Caterina's talk is titled 'How to make the most of high energy physics data with real-time analysis and AI' and will be followed by a Q&A session. This will be an online event.

The Large Hadron Collider at the CERN laboratory in Geneva collides protons at the highest energies ever reached in a lab, so that known and unknown matter can be investigated in the products of these collisions by experiments. The amount of data produced by the LHC is enormous, since collisions occur up to 30 million times per second. The trigger systems of each experiment quickly analyse these collision events and decide whether to retain it further analysis, on a timescale of the order of milliseconds or less. In this seminar, I will present an overview of the tools and real-time analysis techniques employed within these trigger systems, focusing on the ATLAS experiment. It also presents physics cases that use novel techniques to make the most of LHC data and achieve unprecedented statistical power, such as searches for new physics where the information needed for the search is reconstructed and analysed directly within the trigger system. Finally, I will give an overview of the interconnections of these real-time analysis techniques to other fields of research and industry, and describe ongoing inter-experiment projects advancing real-time analysis that go beyond high energy physics.

The Institute for Data Science and Artificial Intelligence is part of the Digital Futures research platform at The University of Manchester.

Speaker

Caterina Doglioni

Role: Professor of Particle Physics

Organisation: The University of Manchester

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matthew.harrison@manchester.ac.uk

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