Literature DB >> 15606313

The effect of model approximations on single-collision distributions of low-energy electrons in liquid water.

Dimitris Emfietzoglou1, Hooshang Nikjoo.   

Abstract

The development of cross sections for the inelastic interaction of low-energy electrons with condensed tissue-like media is best accomplished within the framework of the dielectric theory. In this work we investigate the degree to which various model approximations, used in the above methodology, influence electron single-collision distributions. These distributions are of major importance to Monte Carlo track structure codes, namely, the energy-loss spectrum, the inelastic inverse mean free path, and the ionization efficiency. In particular, we make quantitative assessment of the influence of (1) the optical data set, (2) the dispersion algorithm, and (3) the perturbation and exchange Born corrections. It is shown that, although the shape and position of the energy-loss spectrum remains almost fixed, its peak height may vary by up to a factor of 1.5. Discrepancies in the calculated inelastic inverse mean free path are largely within 20-30% above 100 eV; they increase drastically, though, at lower energies. Exchange and perturbation Born corrections increase gradually below 1 keV leading to a approximately 30 to 40% reduction of the inverse mean free path at 100 eV. The perturbation effect contributes more than the exchange effect to this reduction. Similar to the dispersion situation, the effect of Born corrections at lower energies is also unclear since the models examined disagree strongly below 100 eV. In comparison, the vapor data are higher than the liquid calculations by 20 to 50% as the energy decreases from 1 to 0.1 keV, respectively. The excitation contribution is the main cause of this difference, since the ionization efficiency in the liquid levels off at approximately 90%, whereas the plateau value for the vapor is approximately 70%. It is concluded that electron inelastic distributions for liquid water, although in some respects distinctively different from the vapor phase, have associated uncertainties that are comparable in magnitude to the phase differences. The situation below 100 eV is uncertain.

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Year:  2005        PMID: 15606313     DOI: 10.1667/rr3281

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  20 in total

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Journal:  Radiat Environ Biophys       Date:  2006-05-30       Impact factor: 1.925

2.  Electron Emission from Foils and Biological Materials after Proton Impact.

Authors:  Michael Dingfelder; Anderson Travia; Robert A McLawhorn; Jefferson L Shinpaugh; Larry H Toburen
Journal:  Radiat Phys Chem Oxf Engl 1993       Date:  2008       Impact factor: 2.858

3.  A new calculation on spectrum of direct DNA damage induced by low-energy electrons.

Authors:  Liming Zhang; Zhenyu Tan
Journal:  Radiat Environ Biophys       Date:  2009-12-29       Impact factor: 1.925

4.  Comparisons of calculations with PARTRAC and NOREC: transport of electrons in liquid water.

Authors:  M Dingfelder; R H Ritchie; J E Turner; W Friedland; H G Paretzke; R N Hamm
Journal:  Radiat Res       Date:  2008-05       Impact factor: 2.841

5.  Calculation on spectrum of direct DNA damage induced by low-energy electrons including dissociative electron attachment.

Authors:  Wei Liu; Zhenyu Tan; Liming Zhang; Christophe Champion
Journal:  Radiat Environ Biophys       Date:  2017-02-09       Impact factor: 1.925

6.  Stopping power and CSDA range calculations for incident electrons and positrons in breast and brain tissues.

Authors:  Mustafa Çağatay Tufan; Tuba Namdar; Hasan Gümüş
Journal:  Radiat Environ Biophys       Date:  2013-01-19       Impact factor: 1.925

7.  Monte Carlo calculations of energy deposition distributions of electrons below 20 keV in protein.

Authors:  Zhenyu Tan; Wei Liu
Journal:  Radiat Environ Biophys       Date:  2014-02-12       Impact factor: 1.925

8.  Calculations of Electron Inelastic Mean Free Paths. XI. Data for Liquid Water for Energies from 50 eV to 30 keV.

Authors:  H Shinotsuka; B Da; S Tanuma; H Yoshikawa; C J Powell; D R Penn
Journal:  Surf Interface Anal       Date:  2017-03-16       Impact factor: 1.607

9.  Measurement of inelastic cross sections for low-energy electron scattering from DNA bases.

Authors:  Marc Michaud; Marc Bazin; Léon Sanche
Journal:  Int J Radiat Biol       Date:  2011-05-26       Impact factor: 2.694

10.  The influence of Geant4-DNA toolkit parameters on electron microdosimetric track structure.

Authors:  Yidi Wang; Zhanpeng Li; Shuyuan Zhang; Wei Tang; Xiang Li; Dandan Chen; Liang Sun
Journal:  J Radiat Res       Date:  2020-01-23       Impact factor: 2.724

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