J. Lieber Marin

This researcher works in experimental particle physics, focusing on how detectors called calorimeters measure the energy of particles produced in high-energy collisions (such as at the ATLAS experiment at the Large Hadron Collider). A major thread of the work is applying machine learning methods, especially decision-tree techniques, to improve energy calibration and to rapidly select and classify particles like electrons and photons in real time.

Publication activity has been intermittent but present over the last several years, with a peak of four publications in 2023 and an average of about 1.6 papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026