Open Access
Issue
EPJ Web Conf.
Volume 225, 2020
ANIMMA 2019 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
Article Number 06006
Number of page(s) 8
Section Decommissioning, Dismantling and Remote Handling
DOI https://doi.org/10.1051/epjconf/202022506006
Published online 20 January 2020
  1. Y.-s. Kim, J. H. Kim, H. S. Lee, H. R. Lee, J. H. Park, J. H. Park, H. Seo, C. Lee, S. H. Park and C. H. Kim, Development of Compton imaging system for nuclear material monitoring at pyroprocessing test-bedfacility, 2016: Journal of Nuclear Science and Technology, 53:12, 2040–2048, DOI:. [Google Scholar]
  2. A. Koide, J. Kataoka, T. Masuda, S. Mochizuki, T. Taya, K. Sueoka, L. Tagawa, K. Fujieda, T. Maruhashi, T. Kurihara and T. Inaniwa, Precision imaging of 4.4 MeV gamma rays using a 3-D positionsensitive Compton camera, Scientific Reportsvolume 8, Article number: 8116, 2018. [CrossRef] [Google Scholar]
  3. P. Bloser, R. Andritschke, G. Kanbach, V. Schonfelder, F. Schopper and A. Zoglauer, The MEGA advanced Compton telescope project, New Astronomy Reviews 46 611–616, 2002. [NASA ADS] [CrossRef] [Google Scholar]
  4. W. Leo, Techniques for Nuclear and Particle Physics Experiments: A How-to Approach, Springer–Verlag, 1993. [Google Scholar]
  5. S. Takeda, Y. Ichinohe, K. Hagino, H. Odaka, T. Yuasa, S.-n. Ishikawa, T. Fukuyama, S. Saito, T. Sato, G. Sato, S. Watanabe, M. Kokubun and T. Takahashi, Applications and imaging techniques of a Si/CdTe Compton gamma-ray camera, TIPP 2011 - Technology and Instrumentation in Particle Physics 2011. Physics Procedia 37 (2012) 859–866, 2012. [Google Scholar]
  6. G. Llosa, M. Trovato, J. Barrio, A. Etxebeste, E. Muñoz, C. Lacasta, J. F. Oliver, M. Rafecas, C. Solaz and P. Solevi, First Images of a Three-Layer ComptonTelescope Prototype for Treatment Monitoring in Hadron Therapy, Frontiers in Oncology 6:14, 2016. [Google Scholar]
  7. C. Lehner, Z. He and F. Zhang, 4Pi Compton Imaging Using a 3-D Position-Sensitive CdZnTe Detector Via Weighted List-Mode Maximum Likelihood, IEEE: Transactions on Nuclear Science, Vol. 51, NO. 4, 2004. [CrossRef] [Google Scholar]
  8. O. Limousin, The story of Caliste: CdTe based pixel detectors for Hard X-Ray astronomy in space, Habilitation à Diriger des Recherches, Université Paris-Diderot, CEA, 2016. [Google Scholar]
  9. A. Andreyev, A. Celler, I. Ozsahin and A. Sitek, Resolution recovery for Compton camera using origin ensemble algorithm, Medical Physics 43, 2016. [Google Scholar]
  10. D. Xu, Z. He, C. E. Lehner and F. Zhang, 4 Pi Compton imaging with single 3D position sensitive CdZnTe detector, Hard X-Ray and Gamma-Ray Detector Physics VI, Proc. of SPIE Vol. 5540 (SPIE, Bellingham, WA, 2004) · 0277-786X/04/$15 · doi: 10.1117/12.563905, 2004. [Google Scholar]
  11. A. Meuris, O. Limousin, O. Gevin, F. Lugiez, I. L. Mer, F. Pinsard, M. Donati, C. Blondel, A. Michalowska, E. Delagnes, M.-C. Vassal and F. Soufflet, Caliste HD: a New Fine Pitch Cd(Zn)Te Imaging Spectrometer from 2 ke V up to 1 Me V, 2011: IEEE Nuclear Science Symposium Conference Record. [Google Scholar]
  12. S. Dubos, O. Limousin, C. Blondel, R. Chipaux, Y. Dolgorouky, O. Gevin, Y. Ménesguen, A. Meuris, T. Orduna, T. Tourette and A. Sauvageon, Low Energy Characterization of Caliste HD, a Fine Pitch CdTe-Based Imaging Spectrometer, IEEE: Transactions on Nuclear Science, Vol. 60, No. 5, 2013. [CrossRef] [Google Scholar]
  13. A. Michalowska, O. Gevin, O. Lemaire, F. Lugiez, P. Baron, H. Grabas, F. Pinsard, O. Limousin and E. Delages, IDeF-X HD: A low power Multi-Gain CMOSASIC for the readout of Cd(Zn)Te Detectors, IEEE Nuclear Science Symposuim & Medical Imaging Conference, 2010. [Google Scholar]
  14. C. E. Ordonez, A. Bolozdynya and W. Chang, Doppler Broadening of Energy Spectra in Compton Cameras, IEEE Nuclear Science Symposium Conference Record, 1998. [Google Scholar]
  15. A. Meuris, O. Limousin and C. Blondel, Charge sharing in CdTe pixilated detectors, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Volume 610, Issue 1, Pages 294–297, 2009. [CrossRef] [Google Scholar]
  16. G. Daniel, O. Limousin, D. Maier, F. Ceraudo and A. Meuris, Application of Bayesian Convolutional Neural Network to spectral identification ofradionuclides for nuclear monitoring, To be submitted TNS 2019, 2019. [Google Scholar]
  17. D. Maier and O. Limousin, Energy calibration viacorrelation, Nuclear Instruments and Methods in Physics Research Section A, DOI:10.1016/j.nima.2015.11.149, 2016. [Google Scholar]
  18. A. Andreyev, A. Sitek and A. Celler, Fast imagereconstruction for Compton camera using stochasticorigin ensemble approach, Medical Physics 38, 2010. [Google Scholar]
  19. C. Bobin ; O. Bichler ; V. Lourenço ; C. Thiam ; M. Thévenin, Applied Radiation and Isotopes, Vol. 109, Pages 405–409, 2015. [Google Scholar]
  20. A. Chambolle, V. Caselles, M. Novaga, D. Cremers and T. Pock, An introduction to Total Variation forImage Analysis, hal-00437581, 2009. [Google Scholar]
  21. V. Maxim, Enhancement of Compton camera images reconstructed by inversion of a conical Radon transform, Inverse Problems 35 014001, 2018. [Google Scholar]

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