activity
19982026
most citedMeasurement of the Light Antiquark Flavor Asymmetry in the Nucleon Sea

306 citations · 669 across the 17 of their papers we have counts for

collaborators

17 papers

physics.ins-det2026

Fast and bright scintillators for ultrafast materials dynamics using 4th generation synchrotron

Zhehui Wang, Dana Dattelbaum, Rachel Huber +13

We present recent advances in fast and bright scintillators for ultrafast X-ray phase contrast imaging of dynamic materials experiments at the upgraded Advanced Photon Source (APS-…

physics.ins-det2026

PiMiX 2.0: AI-enhanced Data Fusion for Radiographic Imaging and Tomography

Zhehui Wang, Shanny Lin, Nicholas Amano +8

Extending earlier work in Physics-informed Meta-instrument for eXperiments (PiMiX) [1], PiMiX~2.0 is an artificial-intelligence (AI)-enhanced data-fusion and analysis framework tha…

cs.CV2025

A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images

Asya Y. Akkus, Bradley T. Wolfe, Pinghan Chu +7

Neutron imaging is essential for diagnosing and optimizing inertial confinement fusion implosions at the National Ignition Facility. Due to the required 10-micrometer resolution, h…

physics.data-an2024★ 2 cited

Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy

Zhehui Wang, Shanny Lin, Miles Teng-Levy +24

Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…

physics.ins-det2023★ 10 cited

Neural Network Methods for Radiation Detectors and Imaging

S. Lin, S. Ning, H. Zhu +6

Recent advances in image data processing through machine learning and especially deep neural networks (DNNs) allow for new optimization and performance-enhancement schemes for radi…

physics.ins-det2023★ 1 cited

Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography

Xin Yue, Shanny Lin, Wenting Li +11

We summarize recent progress in ultrafast Complementary Metal Oxide Semiconductor (CMOS) image sensor development and the application of neural networks for post-processing of CMOS…

cs.CV2022★ 9 cited

Machine Learning for Detection of 3D Features using sparse X-ray data

Bradley T. Wolfe, Michael J. Falato, Xinhua Zhang +7

In many inertial confinement fusion experiments, the neutron yield and other parameters cannot be completely accounted for with one and two dimensional models. This discrepancy sug…

physics.plasm-ph2022★ 85 cited

2022 Review of Data-Driven Plasma Science

Rushil Anirudh, Rick Archibald, M. Salman Asif +60

Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data…

physics.plasm-ph2022★ 13 cited

Plasma Image Classification Using Cosine Similarity Constrained CNN

Michael J. Falato, Bradley T. Wolfe, Tali M. Natan +5

Plasma jets are widely investigated both in the laboratory and in nature. Astrophysical objects such as black holes, active galactic nuclei, and young stellar objects commonly emit…

nucl-ex2018★ 80 cited

Search for the Neutron Decay n X+ where X is a dark matter particle

Z. Tang, M. Blatnik, L. J. Broussard +21

In a recent paper submitted to Physical Review Letters, Fornal and Grinstein have suggested that the discrepancy between two different methods of neutron lifetime measurements, the…

nucl-ex2017★ 97 cited

New result for the neutron -asymmetry parameter from UCNA

M. A. -P. Brown, E. B. Dees, E. Adamek +56

The neutron -decay asymmetry parameter defines the correlation between the spin of the neutron and the momentum of the emitted electron, which determines $λ=\frac{g_{A}}{g…

physics.ins-det2017★ 14 cited

Evaluation of commercial nickel-phosphorus coating for ultracold neutron guides using a pinhole bottling method

R. W. Pattie, E. Adamek, T. Brenner +24

We report on the evaluation of commercial electroless nickel phosphorus (NiP) coatings for ultracold neutron (UCN) transport and storage. The material potential of 50~m thick Ni…

physics.ins-det2016★ 12 cited

Imaging the inside of thick structures using cosmic rays

E. Guardincerri, J. M. Durham, C. Morris +8

The authors present here a new method to image reinforcement elements inside thick structures and the results of a demonstration measurement performed on a mock-up wall built at Lo…

physics.ins-det2013★ 30 cited

Storage of ultracold neutrons in the UCN magneto-gravitational trap

D. J. Salvat, E. R. Adamek, D. Barlow +29

The UCN experiment is designed to measure the lifetime of the free neutron by trapping ultracold neutrons (UCN) in a magneto-gravitational trap. An asymmetric bowl-shape…

cond-mat.mtrl-sci2013★ 5 cited

The Upscattering of Ultracold Neutrons from the polymer

E. I. Sharapov, C. L. Morris, M. Makela +28

It is generally accepted that the main cause of ultracold neutron (UCN) losses in storage traps is the upscattering to the thermal energy range by hydrogen adsorbed on the surface…

nucl-ex2013★ 5 cited

Measurements of ultracold neutron upscattering and absorption in polyethylene and vanadium

E. I. Sharapov, C. L. Morris, M. Makela +27

The study of neutron cross sections for elements used as efficient ``absorbers'' of ultracold neutrons (UCN) is crucial for many precision experiments in nuclear and particle physi…

hep-ex1998★ 306 cited

Measurement of the Light Antiquark Flavor Asymmetry in the Nucleon Sea

E. A. Hawker, T. C. Awes, M. E. Beddo +42

A precise measurement of the ratio of Drell-Yan yields from an 800 GeV/c proton beam incident on hydrogen and deuterium targets is reported. Over 140,000 Drell-Yan muon pairs with…