8 citations · 8 across the 2 of their papers we have counts for
5 papers
Machine learning methods for subpixel trajectory reconstruction in discretized position detectors
Matthew Mark Romano, Zhengzhi Liu, JungHyun Bae
In this study, we demonstrate that compared with traditional centroid-based methods, machine learning methods (particularly transformer-based architectures) achieve superior subpix…
Methodologies for imaging a used nuclear fuel dry storage cask with cosmic ray muon computed tomography
Zhengzhi Liu
Muons interact with matter via two major interaction mechanisms: ionization and radioactive process, and multiple Coulomb scattering leading to energy loss and trajectory deflectio…
Muon Tracing and Image Reconstruction Algorithms for Cosmic Ray Muon Computed Tomography
Zhengzhi Liu, Stylianos Chatzidakis, John M. Scaglione +3
Cosmic ray muon computed tomography (μCT) is a new imaging modality with unique characteristics that could be particularly important for diverse applications including nuclear nonp…
A Generalized Muon Trajectory Estimation Algorithm with Energy Loss for Application to Muon Tomography
Stylianos Chatzidakis, Zhengzhi Liu, Jason P. Hayward +1
This work presents a generalized muon trajectory estimation (GMTE) algorithm to estimate the path of a muon in either uniform or nonuniform media. The use of cosmic ray muons in nu…
Detection of Missing Assemblies and Estimation of the Scattering Densities in a VSC-24 Dry Storage Cask with Cosmic-Ray-Muon-Based Computed Tomography
Zhengzhi Liu, Jason Hayward, Can Liao +1
Highly energetic, cosmic-ray muons can easily penetrate a dry storage cask and yield information about the material inside it by making use of the physics of multiple Coulomb scatt…