From Data Deluge to Precision: Challenges and Opportunities at the High-Luminosity LHC

by Shahram Rahatlou (Istituto Nazionale di Fisica Nucleare)

Thursday 14 May 2026, 16:00 → 18:00 Europe/Rome

Aula Conversi (Dipartimento di Fisica-Ed. Marconi)

What happens when the Large Hadron Collider is pushed far beyond its original design? The High-Luminosity Large Hadron Collider will deliver an order of magnitude more data, transforming both the scale and methodology of particle physics.
To meet this challenge, the CMS and ATLAS collaborations have developed new generations of detectors, which are now being constructed and prepared for installation. These systems are designed to operate in extreme conditions, with up to hundreds of simultaneous collisions, requiring advances in detector design, real-time data processing, and reconstruction techniques.
In this seminar, I will explore how these challenges translate into opportunities: precision studies of the Higgs boson, stringent tests of the Standard Model, and new strategies to uncover physics beyond it. Machine learning will play a central role, enabling more efficient data processing, improved detector performance, and enhanced sensitivity to rare signals. The HL-LHC will provide a rich environment for students and researchers eager to contribute to the next generation of discoveries.