Calculations of electron stopping powers for 41 elemental solids over the 50eV to 30keV range with the full Penn algorithm

Shinotsuka, Hiroshi; Tanuma, Shigeo; Powell, Cedric J.; Penn, David R.

doi:10.1016/j.nimb.2011.09.016

Cited by 50 publications

(41 citation statements)

References 51 publications

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“…The resulting theoretical λ inel (E) agrees for the energy range presently considered with the NIST reference data [32][33][34] to within 5%. The small λ inel (E) (less than two lattice spacings) derived from the bulk dielectric function point to the strong surface sensitivity of the photoemission process at xuv energies.…”

supporting

confidence: 64%

Real-time observation of collective excitations in photoemission

et al. 2015

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Ejection of an electron by absorption of an extreme ultraviolet (xuv) photon probes the many-electron response of a solid well beyond the single-particle picture. Photoemission spectra feature complex correlation satellite structures signifying the simultaneous excitation of single or multiple plasmons. The time delay of the plasmon satellites relative to the main line can be resolved in attosecond streaking experiments. Time-resolved photoemission thus provides the key to discriminate between intrinsic and extrinsic plasmon excitation. We demonstrate the determination of the branching ratio between intrinsic and extrinsic plasmon generation for simple metals

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supporting

confidence: 64%

Real-time observation of collective excitations in photoemission

et al. 2015

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“…Below this value, the stopping power of the implemented models agrees well with the theoretical model of Shinotsuka. 47 At such energies (below 100 eV), experimental measurements are clearly needed to be able to quantify the accuracy of the proposed theoretical models. Since we have not implemented a specific model for bremsstrahlung, we also show the agreement between our models and the ICRU37 stopping powers in the absence of bremsstrahlung at higher energies ( տ10 6 eV).…”

Section: Validation Of the New Modelsmentioning

confidence: 99%

An implementation of discrete electron transport models for gold in the Geant4 simulation toolkit

Sakata

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et al. 2016

Journal of Applied Physics

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Gold nanoparticle (GNP) boosted radiation therapy can enhance the biological effectiveness of radiation treatments by increasing the quantity of direct and indirect radiation-induced cellular damage. As the physical effects of GNP boosted radiotherapy occur across energy scales that descend down to 10 eV, Monte Carlo simulations require discrete physics models down to these very low energies in order to avoid underestimating the absorbed dose and secondary particle generation. Discrete physics models for electron transportation down to 10 eV have been implemented within the Geant4-DNA low energy extension of Geant4. Such models allow the investigation of GNP effects at the nanoscale. At low energies, the new models have better agreement with experimental data on the backscattering coefficient, and they show similar performance for transmission coefficient data as the Livermore and Penelope models already implemented in Geant4. These new models are applicable in simulations focussed towards estimating the relative biological effectiveness of radiation in GNP boosted radiotherapy applications with photon and electron radiation sources. Gold nanoparticle (GNP) boosted radiation therapy can enhance the biological effectiveness of radiation treatments by increasing the quantity of direct and indirect radiation-induced cellular damage. As the physical effects of GNP boosted radiotherapy occur across energy scales that descend down to 10 eV, Monte Carlo simulations require discrete physics models down to these very low energies in order to avoid underestimating the absorbed dose and secondary particle generation. Discrete physics models for electron transportation down to 10 eV have been implemented within the Geant4-DNA low energy extension of Geant4. Such models allow the investigation of GNP effects at the nanoscale. At low energies, the new models have better agreement with experimental data on the backscattering coefficient, and they show similar performance for transmission coefficient data as the Livermore and Penelope models already implemented in Geant4. These new models are applicable in simulations focussed towards estimating the relative biological effectiveness of radiation in GNP boosted radiotherapy applications with photon and electron radiation sources. Published by AIP Publishing. [http://dx

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“…Notice that this fact necessarily creates bunches of very low energy electrons, which one should bare in mind not to account for by other means to not risk double counting the electrons produced by these processes. When high electron energies are involved, electron stopping can be approximated by the Bethe classical energy loss expression [14], but since in our case we are more interested in low energy electrons, typically below 30 keV, Bethe's approximation is not valid, as pointed out by several authors that have recently addressed the subject [13,15].…”

Section: Primarymentioning

confidence: 99%

“…This said, and after careful analysis of the detailed calculations by Shinotsuka [15], we have tested on electron stopping power data an approach similar to what has been carried out for protons and alpha particles ionisation cross-sections [9]. The result of this approach is a simple polynomial approximation to electron stopping powers published recently [16], which allows the recovery of the Shinotsuka results [15] to better than 20% for electron energies above 100 eV.…”

Section: Primarymentioning

confidence: 99%