EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 225 (2020) EPJ Web Conf., 225 (2020) 06006 References
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. [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. [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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.