pith. sign in

arxiv: 1806.10778 · v1 · pith:UH5XL36Vnew · submitted 2018-06-28 · ⚛️ physics.ins-det · physics.comp-ph· physics.data-an

Monte Carlo simulations for the optimization and data analysis of experiments with ultracold neutrons

classification ⚛️ physics.ins-det physics.comp-phphysics.data-an
keywords experimentsanalysiscarlocodesimportantmonteneutronneutrons
0
0 comments X
read the original abstract

Ultracold neutrons (UCN) with kinetic energies up to 300 neV can be stored in material or magnetic confinements for hundreds of seconds. This makes them a very useful tool for probing fundamental symmetries of nature, by searching for charge-parity violation by a neutron electric dipole moment, and yielding important parameters for Big Bang nucleosynthesis, e.g. in neutron-lifetime measurements. Further increasing the intensity of UCN sources is crucial for next-generation experiments. Advanced Monte Carlo (MC) simulation codes are important in optimization of neutron optics of UCN sources and of experiments, but also in estimation of systematic effects, and in bench-marking of analysis codes. Here we will give a short overview of recent MC simulation activities in this field.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.