2017
DOI: 10.1016/j.nima.2017.03.036
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PENTrack—a simulation tool for ultracold neutrons, protons, and electrons in complex electromagnetic fields and geometries

Abstract: Modern precision experiments trapping low-energy particles require detailed simulations of particle trajectories and spin precession to determine systematic measurement limitations and apparatus deficiencies. We developed PENTrack, a tool that allows to simulate trajectories of ultracold neutrons and their decay products-protons and electrons-and the precession of their spins in complex geometries and electromagnetic fields. The interaction of ultracold neutrons with matter is implemented with the Fermi-potent… Show more

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Cited by 8 publications
(10 citation statements)
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“…To simulate UCN storage and transport, we built a detailed model of the production volume and UCN guides for the Monte Carlo simulation PENTrack [25], including the burst disk, actual shape of the UCN valve in open and closed state, pinhole, foil, and main detector. PENTrack uses Fermi potentials to model interaction of UCNs with materials; the imaginary part of the potential determines the loss of UCNs.…”
Section: Comparison With Simulationsmentioning
confidence: 99%
“…To simulate UCN storage and transport, we built a detailed model of the production volume and UCN guides for the Monte Carlo simulation PENTrack [25], including the burst disk, actual shape of the UCN valve in open and closed state, pinhole, foil, and main detector. PENTrack uses Fermi potentials to model interaction of UCNs with materials; the imaginary part of the potential determines the loss of UCNs.…”
Section: Comparison With Simulationsmentioning
confidence: 99%
“…Several alternative simulation codes are available as STARucn [21], PENTrack [22], and GEANT4UCN [23]. This allows for comparison of independent calculations, very important for increasing confidence in using these codes and in intricate numerical estimations.…”
Section: Introductionmentioning
confidence: 99%
“…Absorption and upscattering on and in materials can be expressed via an imaginary Fermi potential U F = V F − iW F . The larger the real part V F of wall materials, the larger the energy spread of UCN may be; the larger the imaginary part W F the higher the loss probability per wall bounce, see [20]. The geometry of UCN storage vessels and guides influences the mean free path between wall hits and therefore the losses of UCN due to W F .…”
Section: Performance Estimationmentioning
confidence: 99%