MCNP 6.2 simulations of energy deposition in low-density volumes corresponding to unit-density volumes on the nanometre level

Lillhök, Jan; Billnert-Maróti, Robert; Anastasiadis, Anastasios

doi:10.1016/j.radmeas.2022.106831

Cited by 6 publications

(4 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Details of the method can be found, e.g., in reference 4.). Agreement between experimental and calculated values has been reported down to 20 nm 5 …”

Section: Introductionsupporting

confidence: 54%

“…The observations were results of both measurements and calculations. Values of

{\bar{\varepsilon }}_{D,s}

down to a few tens of nanometers are possible to measure with the variance‐ or the variance‐covariance method 5 and computations may be used at even smaller volumes. The dimension of the volume to study was recently discussed 15 .…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Technical note: Evaluation of a mean value of the number of ionizations in a single event distribution by the variance method in microdosimetry

Lindborg¹,

Rabus

2023

Medical Physics

View full text Add to dashboard Cite

“…(Details of the method can be found, e.g., in reference 4.). Agreement between experimental and calculated values has been reported down to 20 nm 5 …”

Section: Introductionsupporting

confidence: 54%

“…The observations were results of both measurements and calculations. Values of

{\bar{\varepsilon }}_{D,s}

Section: Resultsmentioning

confidence: 99%

Technical note: Evaluation of a mean value of the number of ionizations in a single event distribution by the variance method in microdosimetry

Lindborg¹,

Rabus

2023

Medical Physics

View full text Add to dashboard Cite

“…Recently, GEANT4‐DNA which is a low‐energy software package of the open‐access GEANT4 toolkit has become available for performing track‐structure simulations for microdosimetry applications 18 . The single‐event electron transport feature of MCNP 6.2 has also been used for microdosimetric simulations, 19 and for low‐press ure ion chamber simulations in the nanometer range 20 …”

Section: Introductionmentioning

confidence: 99%

“…18 The single-event electron transport feature of MCNP 6.2 has also been used for microdosimetric simulations, 19 and for low-press ure ion chamber simulations in the nanometer range. 20 Measurements are often limited to simulated volumes with diameters larger than fractions of a micrometer, although values on dose-mean lineal energy, ȳD , have been reported down to 6 nm with the variance-covariance technique 21,22 and down to 40 nm with the pulse height analysis method using miniature detectors. 23 The uncertainty in measurements increases in particular below 50 nm, where simulations may provide complementary results.…”

Section: Introductionmentioning

confidence: 99%

Dose‐mean lineal energy values for electrons by different Monte Carlo codes: Consequences for estimates of radiation quality in photon beams

et al. 2021

View full text Add to dashboard Cite

Background:The microdosimetric quantity lineal energy and its mean values have proven useful for quantifying radiation quality in many situations. The ratio of dose-mean lineal energies is perhaps the simplest quantity for quantifying differences between two radiation qualities. However, published dose-mean lineal energy values from different codes may differ significantly with potential influence on radiation quality estimates. Purpose: The purpose was to compare dose-mean lineal energy values from different track-structure data sets for condensed water vapor and liquid water, and to evaluate the influence on radiation quality estimations for some photon sources. Methods: Published dose-mean lineal energy values for 0.1 keV to 1 MeV electrons in spheres with diameters 2 nm to 1 μm, calculated with water vapor and liquid water track structure codes and proximity functions, were collected, analyzed, and compared. Data for cylinders were converted to spheres using a theoretical transformation published by Kellerer. A new set of dose-mean lineal energy values was calculated to cover the whole range of volumes of interest here using the GEANT4-DNA code. The influence from the differences between codes on radiation quality calculations was estimated using dose-mean lineal energy ratios for the photon sources 125 I, 169 Yb, and 192 Ir relative to 60 Co. Results: The theoretical relation for converting the dose-mean lineal energy between different geometrical volumes, results in differences up to 10% between cylinders and spheres depending on electron energy and target size, in agreement with published simulated results. For spheres with diameter above 100 nm, dose-mean lineal energy values for condensed water vapor and liquid water are with few exceptions within ±10%. Below 100 nm, the difference increases with decreasing diameter reaching a factor of two at 2 nm. The values from water vapor codes are in general larger than from liquid water codes. If the dose-mean lineal energy ratio is based on condensed water vapor instead of liquid water, the ratio differs less than 9% for the nuclides 125 I, 169 Yb, and 192 Ir relative to 60 Co independent of the volume simulated. However, a specific value of the dose-mean lineal energy ratio, is found at a larger target diameter in liquid water than in condensed water vapor. Conclusions: When ratios of the dose-mean lineal energy are used as a measure of the radiation quality it is important to compare values for geometrically equal target shapes. A practical method of converting values for cylinders of equal diameter and height to spheres was demonstrated. Although dose-mean lineal energy values calculated with water vapor and liquid water codes may differ significantly, the radiation quality, in terms of ratios of dose-mean lineal 1286

show abstract

Relative efficiency of radiophotoluminescent glass dosimeters in a scanning pencil proton beam

Majer,

Pasariček,

Brkić

et al. 2024

Radiation Physics and Chemistry

View full text Add to dashboard Cite

MCNP 6.2 simulations of energy deposition in low-density volumes corresponding to unit-density volumes on the nanometre level

Cited by 6 publications

References 44 publications

Technical note: Evaluation of a mean value of the number of ionizations in a single event distribution by the variance method in microdosimetry

Technical note: Evaluation of a mean value of the number of ionizations in a single event distribution by the variance method in microdosimetry

Dose‐mean lineal energy values for electrons by different Monte Carlo codes: Consequences for estimates of radiation quality in photon beams

Relative efficiency of radiophotoluminescent glass dosimeters in a scanning pencil proton beam

Contact Info

Product

Resources

About