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October 20, 2025Open Access

Interplay of Variance Reduction and Population Control in Monte Carlo Neutron Transport

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Authors

JNJordan NorthropIVIlham VariansyahTPTodd Palmer

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Overview

This analysis demonstrates how variance reduction and population control affect time-dependent simulations, suggesting careful algorithm selection can enhance performance.

Key Points

  • The study shows that algorithm selection significantly impacts the efficiency of time-dependent neutron transport simulations.
  • Using weight windows with weight-based combing can hinder performance, while pairing with uniform combing improves simulation outcomes.
  • Simulations were assessed across multiple test problems, demonstrating the effects of combining variance reduction and population control techniques.
  • Performance improvements were observed when steady-state weight windows were adapted for time-dependent scenarios.

Cite This Study

Northrop et al. (2025) studied this question.

synapsesocial.com/papers/68f6196ee0bbbc94fac3649chttps://doi.org/10.48550/arxiv.2509.22943
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