Connecting The Dots 2025

Session

Poster lightning talks

11 Nov 2025, 16:50

98. Challenges Deploying a Hybrid PV-finder Algorithm for Primary Vertex Reconstruction in LHCb’s GPU-Resident First Level Trigger

Mohamed Elashri (University of Cincinnati)

11/11/2025, 16:50

Talk

The PV-finder algorithm employs a hybrid deep neural network to reconstruct primary vertex positions (PVs) in proton-proton collisions at the LHC. The algorithm was originally developed for use in LHCb, but it has been adapted successfully for use in the much higher pile-up environment of ATLAS. PV-finder integrates fully connected layers that do track-by-track calculations with a...

110. GNN-based Track Finding for a new multiple TPC detector

Shujie Li (Berkeley Lab)

11/11/2025, 16:53

Talk

The Tagged Deep Inelastic Scattering (TDIS) experiment at Jefferson Lab studies nucleon mesonic content by detecting low-momentum recoil hadrons with a multiple Time Projection Chamber (mTPC) in coincidence with scattered electrons. The expected high rate, high occupancy environment poses significant challenges to traditional track finding algorithms. In this talk, I will present our...

100. Advances in Low-Energy Particle Track Reconstruction with Interaction Graph Networks at the PANDA experiment.

Nikolai in der Wiesche (Institute of Nuclear Physics, University of Münster)

11/11/2025, 16:56

Talk

The success of neural network based tracking algorithms for high energy colliders has prompted us to explore the merits of these methods for tracking in the lower energy regime of the PANDA experiment. In this talk, I will present the current state of a tracking pipeline that has been adapted from the Exa.TrkX group and that has an interaction graph neural network at its core. It has an...

101. Machine Learning implementation in Front-End Electronics of Belle II Central Drift Chamber for cross-talk noise reduction

Yun-Tsung Lai

11/11/2025, 16:59

Talk

Central Drift Chamber (CDC) in the Belle II experiment is one of the charged tracking device for both offline and real-time hardware trigger systems. Belle II CDC has been using a Front-End Electronics (FEE) device based on Xilinx Virtex-5 FPGA to record the digitized waveform of anode wires and to deliver the data to both central data acquisition system and hardware trigger system. In the...

103. Graph Neural Network Acceleration on FPGAs for Real-Time Muon Triggering at the HL-LHC

Davide Fiacco (Sapienza Universita e INFN, Roma I (IT))

11/11/2025, 17:02

The upcoming High Luminosity phase of the Large Hadron Collider requires significant advancements in real-time data processing to handle the increased event rates and maintain high-efficiency trigger decisions. In this work, we explore the acceleration of graph neural networks on field-programmable gate arrays for fast inference within future muon trigger pipelines with O(100) ns latencies....

104. Application of Point Cloud Classification to Particle Identification in the SuperFGD neutrino detector

Hikaru Tanigawa (KEK)

11/11/2025, 17:05

The T2K experiment is a long-baseline neutrino oscillation experiment located in Japan that has major goal to find hints of CP-violation in the leptonic sector. To further improve its sensitivity, it is crucial to precisely measure electron neutrino cross section at the near detector. This measurement has been challenging, as the T2K beam composition is mostly muon neutrinos, requiring a...

105. Development and performance of electron reconstruction with Acts and the OpenDataDetector (ODD)

Andreas Stefl (CERN)

11/11/2025, 17:08

Over the last years, a general purpose track finding algorithm based on the combinatorial Kalman filter (CKF) has been developed for the Acts toolkit - a community-driven project that provides experiment-independent tracking algorithms written in modern C++. It has been validated and optimized with the OpenDataDetector (ODD), and the ATLAS Phase-2 Inner Tracker (ITk). The CKF shows good...