34 citations
- The Ohio State UniversityUS2 papers
- Transylvania University of BrașovRO2 papers
- University of AlbertaCA2 papers
- University of MichiganUS2 papers
- A. Alikhanyan National LaboratoryAM1 paper
- Academia SinicaTW1 paper
- AGH University of KrakowPL1 paper
- Argonne National LaboratoryUS1 paper
- Aristotle University of ThessalonikiGR1 paper
- Boğaziçi UniversityTR1 paper
- Brandeis UniversityUS1 paper
- Brookhaven National LaboratoryUS1 paper
7 papers
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…
The Notre-Dame Cube: An active-target time-projection chamber for radioactive beam experiments and detector development
T. Ahn, J. S. Randhawa, S. Aguilar +20
Active-target detectors have the potential to address the difficulties associated with the low intensities of radioactive beams. We have developed an active-target detector, the No…
Diophantine approximation on manifolds and lower bounds for Hausdorff dimension
Victor Beresnevich, Lawrence Lee, Robert C. Vaughan +1
Given and , let denote the classical set of -approximable points in , which consists of th…
Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity
Elizabeth C. Lee, Michael R. Kelly, Brad M. Ochocki +4
Mathematical models of cholera and waterborne disease vary widely in their structures, in terms of transmission pathways, loss of immunity, and other features. These differences ma…
Analysis of Flows Inside Quiescent Prominences as Captured by Hinode/Solar Optical Telescope
M. S. Freed, D. E. McKenzie, D. W. Longcope +1
Developing an understanding of how magnetic fields can become entangled in a prominence is important for predicting a possible eruption. This work investigates the kinetic energy a…
Learning Binary Features Online from Motion Dynamics for Incremental Loop-Closure Detection and Place Recognition
Guangcong Zhang, Mason J. Lilly, Patricio A. Vela
This paper proposes a simple yet effective approach to learn visual features online for improving loop-closure detection and place recognition, based on bag-of-words frameworks. Th…