3 papers
hep-ph2026
Disentangling Dark Gauge Symmetries with Deep Learning on the Lund Jet Plane
Jinmian Li, Junle Pei, Rao Zhang
While dark sectors with new confining gauge symmetries are compelling candidates for resolving the dark matter mystery, discerning the underlying dark gauge group structure remains…
hep-ph2025
Jet Reconstruction with Mamba Networks in Collider Events
Jinmian Li, Peng Li, Bingwei Long +1
We introduce a novel end-to-end framework for jet reconstruction in high-energy collider events, leveraging the efficiency and long-range modeling capabilities of the Mamba archite…
hep-ph2025
Testing tree level TeV scale seesaw scenarios in TRISTAN
Arindam Das, Jinmian Li, Sanjoy Mandal +2
We investigate TeV scale seesaw scenarios at and colliders in the TRISTAN experiment. In minimal type-I seesaw scenario we consider two generations of St…