Efficiency Studies of Fast Neutron Tracking using MCNP
Pinghan Chu, Michael R. James, Zhehui Wang

TL;DR
This study uses MCNP simulations to evaluate the efficiency of fast neutron detection and tracking via elastic scattering, analyzing different target materials and detector parameters for improved neutron spectroscopy.
Contribution
The paper introduces a comprehensive simulation-based analysis of neutron tracking efficiency using MCNP, including the effects of target material, timing, and recoil energies for detector design optimization.
Findings
Neutron detection efficiency varies with target material and energy.
Helium-4 shows higher ion travel ranges compared to silicon.
Timing and recoil energy measurements are crucial for detector performance.
Abstract
Fast neutron identification and spectroscopy is of great interest to nuclear physics experiments. Using the neutron elastic scattering, the fast neutron momentum can be measured. (Wang and Morris, 2013) introduced the theoretical concept that the initial fast neutron momentum can be derived from up to three consecutive elastic collisions between the neutron and the target, including the information of two consecutive recoil ion tracks and the vertex position of the third collision or two consecutive elastic collisions with the timing information. Here we also include the additional possibility of measuring the deposited energies from the recoil ions. In this paper, we simulate the neutron elastic scattering using the Monte Carlo N-Particle Transport Code (MCNP) and study the corresponding neutron detection and tracking efficiency. The corresponding efficiency and the scattering…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
