Open Access
| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 02033 | |
| Number of page(s) | 8 | |
| Section | T2 - Offline computing | |
| DOI | https://doi.org/10.1051/epjconf/201921402033 | |
| Published online | 17 September 2019 | |
- M. Titov and L. Ropelewski, Micro-pattern gaseous detector technologies and RD51 Collaboration, Mod.Phys.Lett. A28 (2013), 1340022. dx.doi.org/10.1142/S0217732313400221. [CrossRef] [Google Scholar]
- R. De Oliveira, M. Maggi, A. Sharma, A novel fast timing micropattern gaseous detector: FTM., arXiv:1503.05330[physics.ins-det] (2015). https://arxiv.org/abs/1503.05330. [Google Scholar]
- T. Papaevangelou, etal., Fast Timing for High-Rate Environments with Micromegas, PJ Web Conf. 174 (2018) 02002. 10.1051/epjconf/201817402002. [CrossRef] [Google Scholar]
- M. Conti, State of the art and challenges of time-of-flight PET, Physica Medica 25 (2009) 1–11. dx.doi.org/10.1016/j.ejmp.2008.10.001. [CrossRef] [Google Scholar]
- T.K. Lewellen, Recent developments in PET detector technology, Phys. Med. Biol. 53 (2008) R287. dx.doi.org/10.1088/0031-9155/53/17/R01. [CrossRef] [PubMed] [Google Scholar]
- S. Agostinelli, etal., GEANT4: A Simulation toolkit, Nucl. Instrum. Meth. A506 (2003) 250–303. dx.doi.org/10.1016/S0168-9002(03)01368-8. [Google Scholar]
- J. Allison etal., Geant4 Developments and Applications, IEEE Trans. Nucl. Sci. 53 (2006) 270–278. dx.doi.org/10.1109/TNS.2006.869826. [Google Scholar]
- J. Allison etal., Recent developments in GEANT4, Nucl. Instrum. Meth. A835 (2016) 186–225. dx.doi.org/10.1016/j.nima.2016.06.125. [Google Scholar]
- I.B. Smirnov, Modeling of ionization produced by fast charged particles in gases. Nucl. Instrum. Meth. A554 (2005) 474–493. dx.doi.org/10.1016/j.nima.2005.08.064. [Google Scholar]
- H. Schindler, Microscopic Simulation of Particle Detectors. CERN-THESIS-2012-208. cds.cern.ch/record/1500583. [Google Scholar]
- S.F. Biagi, Monte Carlo simulation of electron drift and diffusion in counting gases under the influence of electric and magnetic fields. Nucl.Instrum.Meth. A421 (1999) 234–240. dx.doi.org/10.1016/S0168-9002(98)01233-9. [CrossRef] [Google Scholar]
- H. Schindler etal., ] Calculation of gas gain fluctuations in uniform fields. Nucl.Instrum.Meth. A624 (2010), 78–84. dx.doi.org/10.1016/j.nima.2010.09.072. [CrossRef] [Google Scholar]
- F.F. Rieke and W. Prepejchal, Ionization Cross Sections of Gaseous Atoms and Molecules for High-Energy Electrons and Positrons. Phys. Rev. A 6, 1507. dx.doi.org/10.1103/PhysRevA.6.1507. [Google Scholar]
- O. Sahin etal., Penning transfer in argon-based gas mixtures. Journal of Instrumentation 5 (2010) P05002 1–30. dx.doi.org/10.1088/1748-0221/5/05/P05002. [CrossRef] [Google Scholar]
- O. Sahin etal., High-precision gas gain and energy transfer measurements in Ar-CO2 mixtures. Nucl.Instrum.Meth. A768 (2014) 104–111. dx.doi.org/10.1016/j.nima.2014. 09.061 [CrossRef] [Google Scholar]
- G. Bencivenni etal., The micro-Resistive WELL detector: a compact spark-protected single amplification-stage MPGD. JINST 10 (2015) P02008. dx.doi.org/10.1088/1748-0221/10/02/P02008. [CrossRef] [Google Scholar]
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