Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine Learning

CALICE Collaboration • S. Lai (Gottingen U., II. Phys. Inst.) et al.

e-Print: 2407.00178 [physics.ins-det]

Probing gauge-Higgs unification models at the ILC with quark-antiquark forward-backward asymmetry at center-of-mass energies above the Z mass

A. Irles (Valencia U., IFIC), J.P. Márquez (Valencia U., IFIC), R. Poeschl (IJCLab, Orsay), F. Richard (IJCLab, Orsay), A. Saibel (Valencia U., IFIC) et al.

e-Print: 2403.09144 [hep-ph]

DOI: 10.1140/epjc/s10052-024-12918-z

Published in: EurPhys.J.C 84 (2024) 5, 537, Eur.Phys.J.C 84 (2024), 537

Software Compensation for Highly Granular Calorimeters using Machine Learning

CALICE Collaboration • S. Lai (Gottingen U., II. Phys. Inst.) et al.

e-Print: 2403.04632 [physics.ins-det]

DOI: 10.1088/1748-0221/19/04/P04037

Published in: JINST 19 (2024), P04037