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Updated: Feb 26, 2026

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Variance reduction technique in a beta radiation beam using an extrapolation chamber.

Ivón Oramas Polo¹, William Souza Santos², Patrícia de Lara Antonio¹

¹Instituto de Pesquisas Energéticas e Nucleares/ Comissão Nacional de Energia Nuclear, IPEN/CNEN, Av. Prof. Lineu Prestes, 2242 - Cidade Universitária, 05508-000 São Paulo, SP, Brazil.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine

|July 17, 2017

Summary

This study demonstrates how the "Geometry splitting/Russian roulette" technique enhances accuracy in measuring absorbed dose rates from beta radiation. This method reduces statistical errors and uncertainties, improving simulation reliability in dosimetry.

Keywords:

Beta radiation Extrapolation chamber Monte Carlo Radiation source Variance reduction technique

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Last Updated: Feb 26, 2026

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Published on: February 20, 2021

Area of Science:

Medical Physics
Radiation Dosimetry

Background:

Accurate absorbed dose rate determination is crucial for radiation therapy and safety.
Extrapolation chambers are standard for measuring beta radiation dose rates.
Statistical uncertainties can limit the precision of experimental dosimetry.

Purpose of the Study:

To evaluate the effectiveness of the "Geometry splitting/Russian roulette" variance reduction technique.
To improve statistical error and reduce uncertainties in absorbed dose rate measurements.
To enhance the agreement between experimental and simulation results for beta radiation dosimetry.

Main Methods:

Utilized the "Geometry splitting/Russian roulette" variance reduction technique in simulations.
Employed an extrapolation chamber for experimental measurements of absorbed dose rate.
Compared simulation results with experimental data and manufacturer's certificate.

Main Results:

The "Geometry splitting/Russian roulette" technique significantly improved statistical accuracy.
Increased the number of events in the chamber cavity, leading to better simulation-physical problem approximation.
Achieved good agreement for absorbed dose rate values and uncertainties between experimental, simulated, and certified data.
The variation coefficient of the absorbed dose rate was reduced to 2.85% using the technique.

Conclusions:

The "Geometry splitting/Russian roulette" technique is effective for reducing uncertainties in absorbed dose rate measurements.
This method enhances the reliability and precision of dosimetry simulations.
The study validates the simulation approach against experimental data for beta radiation dosimetry.