Derivation and quantitative analysis of the differential self-interrogation Feynman-alpha method
Johan Anderson, Lenard Pal, Imre Pazsit, Dina Chernikova, Sara, Pozzi

TL;DR
This paper develops a stochastic theory for a two-energy-level neutron population to evaluate the differential self-interrogation Feynman-alpha method's effectiveness using Monte Carlo simulations.
Contribution
It introduces a new theoretical framework and numerical approach to assess the Feynman-alpha method in complex neutron systems.
Findings
Validated the applicability of the Feynman-alpha method through numerical simulations.
Identified key reaction intensities influencing the method's accuracy.
Provided insights into the exponential behaviors in neutron populations.
Abstract
A stochastic theory for a branching process in a neutron population with two energy levels is used to assess the applicability of the differential self-interrogation Feynman-alpha method by numerically estimated reaction intensities from Monte Carlo simulations. More specifically, the variance to mean or Feynman-alpha formula is applied to investigate the appearing exponentials using the numerically obtained reaction intensities.
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.
Taxonomy
TopicsQuantum, superfluid, helium dynamics · Cold Atom Physics and Bose-Einstein Condensates · Quantum Mechanics and Applications
