Cosmic ray propagation with CRPropa 3

16th International workshop on Advanced Computing and Analysis Techniques in physics research

物理学;计算机科学

Batista, R. Alves^1 ; Erdmann, M.^2 ; Evoli, C.^1 ; Kampert, K.-H.^3 ; Kuempel, D.^2 ; Mueller, G.^2 ; Sigl, G.^1 ; Van Vliet, A.^1 ; Walz, D.^2 ; Winchen, T.^3

University of Hamburg, II Institut für Theoretische Physik, Hamburg, Germany^1

RWTH Aachen University, Physikalisches Institut IIIa, Aachen, Germany^2

University of Wuppertal, Department of Physics, Wuppertal, Germany^3

关键词: Cosmic ray propagation;    Cosmic-ray nucleus;    Forward propagation;    Galactic magnetic fields;    Monte Carlo codes;    Shared memory parallelism;    Transformation matrices;    Ultra high-energy cosmic rays;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012076/pdf
DOI  :  10.1088/1742-6596/608/1/012076

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Solving the question of the origin of ultra-high energy cosmic rays (UHECRs) requires the development of detailed simulation tools in order to interpret the experimental data and draw conclusions on the UHECR universe. CRPropa is a public Monte Carlo code for the galactic and extragalactic propagation of cosmic ray nuclei above ∼ 1017eV, as well as their photon and neutrino secondaries. In this contribution the new algorithms and features of CRPropa 3, the next major release, are presented. CRPropa 3 introduces time-dependent scenarios to include cosmic evolution in the presence of cosmic ray deflections in magnetic fields. The usage of high resolution magnetic fields is facilitated by shared memory parallelism, modulated fields and fields with heterogeneous resolution. Galactic propagation is enabled through the implementation of galactic magnetic field models, as well as an efficient forward propagation technique through transformation matrices. To make use of the large Python ecosystem in astrophysics CRPropa 3 can be steered and extended in Python.