FTREE: single-history Monte Carlo analysis for radiation detection and measurement


This work introduces FTREE, which describes radiation cascades following impingement of a source particle on matter. The ensuing radiation field is characterised interaction by interaction, accounting for each generation of secondaries recursively. Each progeny is uniquely differentiated and catalogued into a family tree; the kinship is identified without ambiguity. This mode of observation, analysis and presentation goes beyond present-day detector technologies, beyond conventional Monte Carlo simulations and beyond standard pedagogy. It is able to observe rare events far out in the Gaussian tail which would have been lost in averaging—events less probable, but no less correct in physics.

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Corresponding author

Correspondence to Mary P. W. Chin.

Electronic supplementary material

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Supplementary information

Supplementary material 1 (TXT 604 kb) Accompanying file is provided in ASCII format. First column: kinetic energy (GeV). Second column: time (ns). Third column: longitudinal distance from beam-hit position (cm). Forth column: lateral displacement from beam-hit position (cm). Fifth column: material. Sixth column: particles and collisions.



Listing 1

An excerpt: radiation cascade resulting from FLUKA simulation of a single 480 MeV proton impinging a tungsten target, traversing the targetry and surrounding shield materials (concrete, steel and hematite aggregates). Kinetic energy (MeV) at collision (arrows) or production (stars) is given in column one. Time (ns) is given in column two; the clock starts ticking at the birth of the 480 MeV proton source. Indents denote the nth particle generation. Neutrons under 20 MeV were given multigroup treatment, where the collision type (eg. whether elastic or not) is not differentiated. In this case two energies rather than one are given. The two values, separated by an underscore, correspond to the edges of the respective energy group.

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Chin, M.P.W. FTREE: single-history Monte Carlo analysis for radiation detection and measurement. J Radioanal Nucl Chem 306, 565–569 (2015).

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  • Monte Carlo
  • Radiation detection