COMETA Colloquium: Thea Aarrestad

Monday 25 Nov 2024, 16:00 → 18:00 Europe/Zurich

Zoom room: https://cern.zoom.us/j/63628931616?pwd=YnlaRzlQck84b2szN2lPUlVqOGoxZz09

 

This event is organised by the COMETA COST Action, a EU-funded networking initiative that promotes knowledge sharing and cooperation across the theory, experiment, and ML communities, with the aim of improving the measurement and interpretation of multiboson processes at the LHC.

Find recordings of all COMETA Colloquia on our youtube channel @multibosons!

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1 Detecting the rare and complex: Machine Learning for precision and efficiency at the LHC

Abstract: As datasets in particle physics get progressively larger, algorithms to swiftly and accurately process this data have become increasingly complex. Machine Learning (ML) has emerged as a solution to tackle several of the challenges experiments face: to efficiently select and reconstruct interesting observational data, to enhance sensitivity to increasingly rare processes and to efficiently generate accurate simulations of complex physical systems. The forthcoming High Luminosity LHC (HL-LHC) will collect roughly ten times the data of the LHC, providing new opportunities for precision measurements of rare processes such as the Higgs self coupling, vector boson scattering and vector boson fusion. In this talk, I will present recent developments in ML techniques applied to event selection, reconstruction, and analysis, and discuss their impact on enhancing searches for these rare processes. I will review the pivotal role of ML in particle physics, from its contributions to the discovery of the Higgs boson in 2012 to its application in real-time event filtering in HL-LHC, where data rates will approach 5% of global internet traffic.

Speaker: Thea Aarrestad (ETH Zurich (CH))

cometa_ml.pdf