Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 187 tok/s
Gemini 2.5 Pro 40 tok/s Pro
GPT-5 Medium 32 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 104 tok/s Pro
Kimi K2 177 tok/s Pro
GPT OSS 120B 436 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Monte Carlo simulations for the optimization and data analysis of experiments with ultracold neutrons (1806.10778v1)

Published 28 Jun 2018 in physics.ins-det, physics.comp-ph, and physics.data-an

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.

Citations (3)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.