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0010-4655(94)90233-X
525
21. Roesler, S., Engel, R., Ranft, J.: The Monte Carlo Event Generator DPMJET-III. In: A. Kling
M. Nakagawa L. Távora & P. Vaz PG - 1033, F.B. (ed.) Advanced Monte Carlo for Radiation
Physics, Particle Transport Simulation and Applications. p. 1038 (2001)
22. Allison, J., Amako, K., Apostolakis, J. et al.: Recent developments in Geant4. Nucl.
Instruments Methods Phys. Res. Sect. A Accel. Spectrometers, Detect. Assoc. Equip. 835,
186–225 (2016). https://doi.org/10.1016/j.nima.2016.06.125
23. Sihver, L., Sato, T., Gustafsson, K. et al.: Iwase, H., Niita, K., Nakashima, H., Sakamoto, Y.,
Iwamoto, Y., Matsuda, N.: An update about recent developments of the PHITS code. Adv. Sp.
Res. 45, 892–899 (2010). https://doi.org/10.1016/j.asr.2010.01.002
24. Mashnik, S.G.: Validation and Verification of MCNP6 Against Intermediate and High-Energy
Experimental Data and Results by Other Codes. Eur. Phys. J. Plus. (2011). https://doi.org/
10.1140/epjp/i2011-11049-1
25. Goorley, T., James, M., Booth, T. et al.: Features of MCNP6. Ann. Nucl. Energy. 87, 772–783
(2016). https://doi.org/10.1016/J.ANUCENE.2015.02.020
26. Veenhof, R.: Garfield, recent developments. Nucl. Instruments Methods Phys. Res. A. 419,
726–730 (1998). https://doi.org/10.1016/S0168-9002(98)00851-1
27. Smirnov, I.B.: Modeling of ionization produced by fast charged particles in gases. Nucl.
Instruments Methods Phys. Res. Sect. A Accel. Spectrometers, Detect. Assoc. Equip. 554,
474–493 (2005). https://doi.org/10.1016/j.nima.2005.08.064
28. Veenhoff, R., Schindler, H.: Garfield++ – simulation of ionisation based tracking detectors,
http://garfieldpp.web.cern.ch/garfieldpp/
29. Pfeiffer, D., De Keukeleere, L., Azevedo, C. et al.: A Geant4/Garfield++ and Geant4/Degrad
Interface for the Simulation of Gaseous Detectors. (2018)
30. van der Ende, B.M., Rand, E.T., Erlandson, A. et al.: Use of SRIM and Garfield with Geant4
for the characterization of a hybrid 10B/3He neutron detector. Nucl. Instruments Methods
Phys. Res. Sect. A Accel. Spectrometers, Detect. Assoc. Equip. 894, 138–144 (2018). https:/
/doi.org/10.1016/J.NIMA.2018.03.056
31. Lukas, W.: Fast Simulation for ATLAS: Atlfast-II and ISF. J. Phys. Conf. Ser. 396, 022031
(2012). https://doi.org/10.1088/1742-6596/396/2/022031
32. Mokhov, N.V, Gudima, K.K., James, C.C. et al.: Recent enhancements to the MARS15 code.
Radiat Prot Dosim. 116, 99–103 (2005)
33. Huhtinen, M., Aarnio, P.A.: Neutron and photon fluxes and shielding alternatives for the CMS
detector at LHC. Nucl. Instruments Methods Phys. Res. Sect. A Accel. Spectrometers, Detect.
Assoc. Equip. 363, 545–556 (1995). https://doi.org/10.1016/0168-9002(95)00444-0
34. Hrivnacova, I., Adamova, D., Berejnoi, V. et al.: The Virtual Monte Carlo. In: Computing in
High Energy and Nuclear Physics (CHEP03), La Jolla, CA. p. arXiv:cs/0306005 (2003)
35. Kalos, M.H., Whitlock, P.A.: Monte Carlo methods. Wiley - VCH (2008)
36. James, F.: Monte Carlo theory and practice. Reports Prog. Phys. 43, 1145–1189 (1980). https:/
/doi.org/10.1088/0034-4885/43/9/002
37. Bielajew, A.F.: Fundamentals of the Monte Carlo method for neutral and charged particle
transport. (2000)
38. Panneton, F., L’Ecuyer, P.: Resolution-stationary random number generators. Math. Comput.
Simul. 80, 1096–1103 (2010). https://doi.org/10.1016/j.matcom.2007.09.014
39. Savvidy, G., Ter-Arutyunyan-Savvidy, N.: On the Monte Carlo simulation of physical
systems. J. Comput. Phys. 97, 566–572 (1991). https://doi.org/10.1016/0021-9991(91)90015D
40. Savvidy, K., Savvidy, G.: Spectrum and entropy of C-systems MIXMAX random number generator. Chaos, Solitons & Fractals. 91, 33–38 (2016). https://doi.org/10.1016/
j.chaos.2016.05.003
41. Lüscher, M.: A portable high-quality random number generator for lattice field theory
simulations. Comput. Phys. Commun. 79, 100–110 (1994). https://doi.org/10.1016/00104655(94)90232-1
42. James, F.: RANLUX: A Fortran implementation of the high-quality pseudorandom number
generator of Lüscher. Comput. Phys. Commun. 79, 111–114 (1994). https://doi.org/10.1016/
0010-4655(94)90233-X