Articles | Volume 11, issue 11
Model evaluation paper
13 Nov 2018
Model evaluation paper |  | 13 Nov 2018

Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches

David Sarria, Casper Rutjes, Gabriel Diniz, Alejandro Luque, Kevin M. A. Ihaddadene, Joseph R. Dwyer, Nikolai Østgaard, Alexander B. Skeltved, Ivan S. Ferreira, and Ute Ebert

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Cited articles

Adachi, T., Takahashi, Y., Ohya, H., Tsuchiya, F., Yamashita, K., Yamamoto, M., and Hashiguchi, H.: Monitoring of Lightning Activity in Southeast Asia: Scientific Objectives and Strategies, Kyoto Working Papers on Area Studies, G-COE Series, 2008. a
Agostinelli, S., Allison, J., Amakon, K., et al.: GEANT4: A simulation toolkit, Nucl. Instrum. Meth., 506, 250–303,, 2003. a, b
Allison, J., Amako, K., Apostolakis, J., Araujo, H., Dubois, P. A., Asai, M., Barrand, G., Capra, R., Chauvie, S., Chytracek, R., Cirrone, G. A. P., Cooperman, G., Cosmo, G., Cuttone, G., Daquino, G. G., Donszelmann, M., Dressel, M., Folger, G., Foppiano, F., Generowicz, J., Grichine, V., Guatelli, S., Gumplinger, P., Heikkinen, A., Hrivnacova, I., Howard, A., Incerti, S., Ivanchenko, V., Johnson, T., Jones, F., Koi, T., Kokoulin, R., Kossov, M., Kurashige, H., Lara, V., Larsson, S., Lei, F., Link, O., Longo, F., Maire, M., Mantero, A., Mascialino, B., McLaren, I., Lorenzo, P. M., Minamimoto, K., Murakami, K., Nieminen, P., Pandola, L., Parlati, S., Peralta, L., Perl, J., Pfeiffer, A., Pia, M. G., Ribon, A., Rodrigues, P., Russo, G., Sadilov, S., Santin, G., Sasaki, T., Smith, D., Starkov, N., Tanaka, S., Tcherniaev, E., Tome, B., Trindade, A., Truscott, P., Urban, L., Verderi, M., Walkden, A., Wellisch, J. P., Williams, D. C., Wright, D., and Yoshida, H.: Geant4 developments and applications, IEEE T. Nucl. Sci., 53, 270–278,, 2006. a, b
Allison, J., Amako, K., Apostolakis, J., et al.: Recent developments in Geant4, Nucl. Instrum. Meth., 835, 186–225,, 2016. a, b
Apostolakis, J., Asai, M., Bogdanov, A., Burkhardt, H., Cosmo, G., Elles, S., Folger, G., Grichine, V., Gumplinger, P., Heikkinen, A., Hrivnacova, I., Ivanchenko, V., Jacquemier, J., Koi, T., Kokoulin, R., Kossov, M., Kurashige, H., McLaren, I., Link, O., Maire, M., Pokorski, W., Sasaki, T., Starkov, N., Urban, L., and Wright, D.: Geometry and physics of the Geant4 toolkit for high and medium energy applications, Radiat. Phys. Chem., 78, 859–873,, 2009. a
Short summary
We evaluate three models (Geant4, REAM, GRRR) used in the field of high-energy atmospheric physics that are able to simulate relativistic runaway electron avalanches. Several models have been used by the community, but there was, up until now, no study evaluating their consistency in this context. We conclude that there are no major differences to report, and we discuss minor ones. We also provide advice on how to properly set up the general purpose code (Geant4) in this context.