Andrew Adams

ORCID: 0009-0002-6684-8584
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About
Contact & Profiles
Research Areas
  • Scientific Computing and Data Management
  • Medical Imaging Techniques and Applications
  • Particle Detector Development and Performance
  • Nuclear Physics and Applications
  • Distributed and Parallel Computing Systems
  • Radiation Detection and Scintillator Technologies
  • Natural Language Processing Techniques
  • Particle Accelerators and Free-Electron Lasers
  • Advanced Thermodynamics and Statistical Mechanics
  • Information and Cyber Security
  • Advanced Neural Network Applications
  • Atomic and Subatomic Physics Research

Michigan State University
2022-2024

Pittsburgh Supercomputing Center
2017-2023

Cornell University
1996

Brunswick (United States)
1996

Utrecht University
1996

Max Planck Institute for Informatics
1996

Karlsruhe University of Education
1996

In the pursuit of identifying rare two-particle events within GADGET II Time Projection Chamber (TPC), this paper presents a comprehensive approach for leveraging Convolutional Neural Networks (CNNs) and various data processing methods. To address inherent complexities 3D TPC track reconstructions, is expressed in 2D projections 1D quantities. This capitalizes on diverse modalities TPC, allowing efficient representation distinct features events, with no loss topology uniqueness....

10.48550/arxiv.2501.17892 preprint EN arXiv (Cornell University) 2025-01-28

Background: The established GAseous Detector with GErmanium Tagging (GADGET) detection system is used to measure weak, low-energy β-delayed proton decays.It consists of the gaseous Proton equipped a MICROMEGAS (MM) readout detect protons and other charged particles calorimetrically, surrounded by Segmented Germanium Array (SeGA) for high-resolution prompt γ-rays.Purpose: To upgrade GADGET's operate as compact Time Projection Chamber (TPC) detection, 3D imaging identification singleand...

10.1103/physrevc.110.035807 article EN Physical review. C 2024-09-12

Sensitivity studies have shown that the 15 O(α, γ) 19 Ne reaction is most important rate uncertainty affecting shape of light curves from Type I X-ray bursts. This dominated by 4.03 MeV resonance in Ne. Previous measurements our group this state populated decay sequence 20 Mg. A single Mg(βp α) O event through key yields a characteristic signature: emission proton and alpha particle. To achieve granularity necessary for identification signature, we upgraded Proton Detector Gaseous with...

10.1051/epjconf/202226011046 article EN cc-by EPJ Web of Conferences 2022-01-01

15 O( α , γ ) 19 Ne is regarded as one of the most important thermonuclear reactions in type I X-ray bursts. For studying properties key resonance this reaction using β decay, existing Proton Detector component Gaseous with Germanium Tagging (GADGET) assembly being upgraded to operate a time projection chamber (TPC) at FRIB. This upgrade includes associated hardware well software and paper mainly focusses on upgrade. The full detector set up simulated ATTPCROOTv 2 data analysis framework for...

10.1051/epjconf/202226011034 article EN cc-by EPJ Web of Conferences 2022-01-01

The Particle X-ray Coincidence Technique (PXCT) was originally developed to measure average lifetimes in the $10^{-17}-10^{-15}$~s range for proton-unbound states populated by electron capture (EC). We have designed and built Lifetimes Branching Ratios Apparatus (LIBRA) be used stopped-beam area at Facility Rare Isotope Beams that extends PXCT both decay branching ratios of resonances EC/$\beta^+$ decay. first application LIBRA aims obtain essential nuclear data from $^{60}$Ga constrain...

10.48550/arxiv.2410.16446 preprint EN arXiv (Cornell University) 2024-10-21

10.1080/03155986.1971.11731473 article EN INFOR Information Systems and Operational Research 1971-07-01
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