42 citations · 108 across the 8 of their papers we have counts for
8 papers
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…
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…
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 Standa…
Automatic detection of boosted Higgs boson and top quark jets in an event image
Sang Kwan Choi, Jinmian Li, Cong Zhang +1
We build a deep neural network based on the Mask R-CNN framework to detect the Higgs jets and top quark jets in any event image. We propose an algorithm to assign the top quark fin…
Polarization measurement for the dileptonic channel of scattering using generative adversarial network
Jinmian Li, Cong Zhang, Rao Zhang
Measuring the polarization fractions of the scattering reveals the interactions of the Higgs boson as well as new neutral states that are related to the standard model ele…
Vector Boson Scattering Processes: Status and Prospects
Diogo Buarque Franzosi, Michele Gallinaro, Richard Ruiz +26
Insight into the electroweak (EW) and Higgs sectors can be achieved through measurements of vector boson scattering (VBS) processes. The scattering of EW bosons are rare processes…
Detecting anomaly in vector boson scattering
Jinmian Li, Shuo Yang, Rao Zhang
Measuring the vector boson scattering (VBS) precisely is an important step towards understanding the electroweak symmetry breaking of the standard model (SM) and detecting new phys…
The Boosted Higgs Jet Reconstruction via Graph Neural Network
Jun Guo, Jinmian Li, Tianjun Li +1
By representing each collider event as a point cloud, we adopt the Graphic Convolutional Network (GCN) with focal loss to reconstruct the Higgs jet in it. This method provides high…