An Artificial Neural Network System for Photon-Based Active Interrogation Applications

Autor: Michael Y. Hua, Christopher A. Meert, Sara A. Pozzi, Abbas J. Jinia, Hun-Seok Kim, David D. Wentzloff, Siobhán Clarke, Tessa E. Maurer

Publikováno v: IEEE Access, Vol 9, Pp 119871-119880 (2021)

Active interrogation (AI) is a promising technique to detect shielded special nuclear materials (SNMs). At the University of Michigan, we are developing a photon-based AI system that uses bremsstrahlung radiation from an electron linear accelerator (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a4c003be535cdda0e25e3ae26127bc3
https://ieeexplore.ieee.org/document/9524625/

Trigger-less readout system with pulse pile-up recovery for the PANDA electromagnetic calorimeter

Autor: F. Schreuder, R. Speelman, G. Tambave, P. Schakel, P.J.J. Lemmens, Herbert Löhner, M. Kavatsyuk, M. Hevinga

Publikováno v: Nuclear instruments & methods in physics research section a-Accelerators spectrometers detectors and associated equipment, 718, 217-219. ELSEVIER SCIENCE BV

A simple, efficient, and robust on-line data-processing scheme was developed for the digital front-end electronics of the electromagnetic calorimeter of the PANDA spectrometer at FAIR, Darmstadt. The implementation of the processing algorithm in FPGA

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47590cff5ff4d3716050614c0f3e6736
https://hdl.handle.net/11370/e5cf1094-dfaf-4fb5-ad1d-3c0948330883

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