Backward Monte-Carlo applied to muon transport

Abstract

We discuss a backward Monte-Carlo technique for muon transport problem, with emphasis on its application in muography. Backward Monte-Carlo allows exclusive sampling of a final state by reversing the simulation flow. In practice it can be made analogous to an adjoint Monte-Carlo, though it is more versatile for muon transport. A backward Monte-Carlo was implemented as a dedicated muon transport library: PUMAS. It is shown for case studies relevant for muography imaging that the implementations of forward and backward Monte-Carlo schemes agree to better than 1%.

43 pages, 7 figures

References in corpus (5)

• Big-Bang Nucleosynthesis
• Propagation of Muons and Taus at High Energies
• MUM: flexible precise Monte Carlo algorithm for muon propagation through thick layers of matter
• Coulomb Corrections to the Parameters of the Moliere Multiple Scattering Theory
• Accuracy of muon transport simulation

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