AI boosts sensitivity to double-Higgs signatures occurring about once per trillion collisions

Particle physicists are gearing up to test a fundamental assumption about the cosmos: whether the universe is truly stable. The inquiry will be pursued at the Large Hadron Collider (LHC), the world’s most powerful particle accelerator, whose next major upgrade is slated for completion in roughly four years. The enhanced machine will deliver higher collision energies and greater data volumes, offering scientists an unprecedented opportunity to probe the stability of the vacuum that underpins all physical phenomena.

In preparation for the upgraded LHC, research teams worldwide are refining the analytical methods needed to interpret the incoming flood of information. A group at the University of Michigan, alongside international collaborators, is focusing on improving data‑analysis algorithms, detector‑calibration techniques, and theoretical models. By sharpening these tools now, the community aims to maximize the scientific return from both the LHC’s current operations and its future, high‑precision runs, potentially delivering decisive insight into the long‑standing question of cosmic stability.