Energy loss of protons and deuterons at low energies in Pd polycrystalline thin films

Celedón, Carlos; Sánchez, Esteban; Moreno, M. Sergio; Arista, N. R.; Uribe, Juan D.; Mery, Mario; Valdés, Joaquín; Vargas, P.

doi:10.1103/physreva.88.012903

Cited by 16 publications

(13 citation statements)

References 19 publications

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“…We consider that these differences fall within the experimental error. We can observe that the present energy distributions show large tails at the lower energy side in contrast to the energy distributions observed in metallic films which have a Gaussian-like shape (19). To evaluate the proton electronic energy loss, we use the most probable energy in the energy distribution (peak position) and the energy loss, in eV/A, is calculated using the nominal thickness of MLG sample, which corresponds to 3.45 nm.…”

Section: Energy Loss Measurementsmentioning

confidence: 88%

Proton energy loss in multilayer graphene and carbon nanotubes

Uribe

Mery

Fierro

et al. 2018

Radiation Effects and Defects in Solids

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Results of a study of electronic energy loss of low keV protons interacting with multilayer graphene targets are presented. Proton energy loss shows an unexpectedly high value as compared with measurements in amorphous carbon and carbon nanotubes. Furthermore, we observe a classical linear behavior of the energy loss with the ion velocity but with an apparent velocity threshold around 0.1 a.u., which is not observed in other carbon allotropes. This suggests low dimensionality effects which can be due to the extraordinary graphene properties.

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Section: Energy Loss Measurementsmentioning

confidence: 88%

Proton energy loss in multilayer graphene and carbon nanotubes

Uribe

Mery

Fierro

et al. 2018

Radiation Effects and Defects in Solids

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show abstract

“…There is a large amount of experimental data involving a wide variety of target materials, and, most important, There has been great interest lately in the threshold behavior of stopping cross sections [8,27,28,29,30,31,32,33,34,35,36,37,38] with implications on fundamental atomic and solid-state physics.…”

Section: Stopping Of Protonsmentioning

confidence: 99%

Note on measuring electronic stopping of slow ions

Sigmund

Schinner

2017

Nuclear Instruments and Methods in Physics Research Section B:

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“…SRIM basically proceeds along this line, but frequently with unexplained, rather strange modifications of kS e,LS [23]. An example of moderate magnitude is the hump seen in For H + , D + , and He + incident on metals, velocity-proportional electronic stopping has been observed down to velocities as low as 0.1υ 0 , often with a change in gradient at about 0.2υ 0 (E/M 1 = 1 keV/u), attributed to the onset of stopping due to d electrons [1,[4][5][6][7]. For B in Si similar threshold effects have not (yet) been reported.…”

Section: Basic Aspectsmentioning

confidence: 99%

“…Recent studies on the slowing-down of energetic ions in matter have addressed a wide variety of topics. Arranged roughly in the order of increasing projectile energy or velocity, noteworthy examples include the following: the correlation between electronic stopping and ion induced electron emission [1,2,3], the role of s and d electrons in electronic stopping of slow protons and deuterons [1,4,5,6,7], systematic differences in electronic stopping of low-energy H + and He + ions [6,8], the importance of exact knowledge of nuclear stopping (screening length) in low-energy ion scattering [9], the applicability of the reciprocity approach [10] for predicting ranges of slow heavy ions in compounds [11,12,13], modelling of range distributions in crystalline silicon [14], and measurements and interpretation of electronic stopping of low-and medium-mass ions in solids at energies around the Bragg peak and below [15,16,17]. However, reasonably accurate knowledge of electronic stopping cross sections S e is still available merely for a very limited number of projectile-target combinations, often within narrow ranges of energy.…”

Section: Introductionmentioning

confidence: 99%

Highly accurate nuclear and electronic stopping cross sections derived using Monte Carlo simulations to reproduce measured range data

Wittmaack

Mutzke

2017

Journal of Applied Physics

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We have examined and confirmed the previously unexplored concept of using measured projected ranges of ions implanted in solids to derive a quantitative description of nuclear interaction and electronic stopping. The idea was to perform Monte Carlo calculations of range distributions and to search for those input parameters that generate, over a wide band of energies, the best possible agreement with accurate experimental range data. The projectile-target combination studied was 11 B in Si, in which case 98 data contained in 12 sets reported by 10 different groups were compiled between 1 keV and 8 MeV. Detailed examination revealed set-wise systematic errors up to ± 8%. Their removal resulted in a refined data base with 93 ranges featuring only statistical uncertainties (mean standard deviation 1.8%; five outliers not considered any further). Ultimately, the Monte Carlo calculations reproduced the 93 refined ranges very well, with a mean ratio of 1.002 ± 1.7%. The input parameters required to achieve this very high level of agreement were identified to be as follows. Nuclear interaction is best described by the Kr-C potential, but only when used in obligatory combination with the Lindhard-Scharff (LS) screening length. Up to 300 keV the electronic stopping cross section is proportional to the projectile velocity, i.e., LS-type, S e = kS e,LS , with k = 1.46 ± 0.01. At higher energies S e falls progressively short of kS e,LS. Around the Bragg peak, i.e., between 0.8 and 10 MeV, S e is described by an adjustable function with fit parameters selected to tailor the peak shape properly (flat-topped region between 1.5 and 5 MeV). The reliability of our results is confirmed by showing that calculated and measured isotope effects for ranges of 10 B and 11 B in Si agree within experimental uncertainty (± 0.25%). Furthermore, the range-based S e,R (E) reported here predicts the scarce experimental data derived from energy loss in projectile transmission through thin Si foils to within 2% or better. By contrast, S e (E) data available from different types of stopping power tables must be rated inaccurate, the deviations from S e,R (E) ranging between-40% and + 14%.

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Energy loss of protons and deuterons at low energies in Pd polycrystalline thin films

Cited by 16 publications

References 19 publications

Proton energy loss in multilayer graphene and carbon nanotubes

Proton energy loss in multilayer graphene and carbon nanotubes

Note on measuring electronic stopping of slow ions

Highly accurate nuclear and electronic stopping cross sections derived using Monte Carlo simulations to reproduce measured range data

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