Energy Loss Of Protons Research Articles

Significance of the proton energy loss mechanism to gold nanoparticles in proton therapy: a Geant4 simulation

The biological effectiveness in proton therapy is only slightly greater than of the treatment by X-ray and hence, many researches have suggested the use of gold nanoparticles for increasing the ionization interactions to produce more secondary electrons and elevate the yield of DNA damage. But the ionization interactions also lead to protons energy loss inside the nanoparticles. The present study shows that, the protons slowed-down by High-Z nanoparticles are responsible for dose enhancement rather than the produced secondary electrons. To this purpose, using Geant4 Monte Carlo tool, one million nanoparticles distributed in a proton irradiated volume and variation of the proton’s spectra and the dose related to this variation has been demonstrated. It was found that, the elevation in proton’s LET values when passing through the gold nanoparticles will lead to a more significant dose enhancement than the increased dose due to the extra secondary electrons. Also, it was found that, the mechanism of protons slowing-down by gold nanoparticles has another useful aspect in proton therapy in which, the dose leakage to surrounding healthy tissues will be reduced which must be considered in future investigations more precisely.

Different spectra of cosmic ray H, He, and heavier nuclei escaping compact star clusters

ABSTRACT Cosmic ray acceleration at the termination shock of compact star clusters has recently received much attention, mainly because of the detection of gamma-ray emission from some of such astrophysical sources. Here we focus on the acceleration of nuclei at the termination shock and we investigate the role played by proton energy losses and spallation reactions of nuclei, especially downstream of the shock. We show that for a reasonable choice of the mean gas density in the cavity excavated by the cluster wind, dominated by the presence of dense clouds, the spectrum of He nuclei escaping the bubble is systematically harder than the spectrum of hydrogen, in a manner that appears to be qualitatively consistent with the observed and yet unexplained phenomenon of discrepant hardening. We also find that, in this scenario, the spallation reactions of heavier nuclei are likely to be so severe that their spectra becomes very hard and with a low normalization, meaning that it is unlikely that heavy nuclei escaping star clusters can provide a sizeable contribution to the spectrum of cosmic rays at the Earth. Limitations and implications of this scenario are discussed.

Closer scrutiny of cosmic ray proton energy losses

The percent-level precision attained by modern cosmic ray (CR) observations motivates reaching a comparable or better control of theoretical uncertainties. Here we focus on energy-loss processes affecting low-energy CR protons (∼0.1–5 GeV), where the experimental errors are small and collisional effects play a comparatively larger role with respect to collisionless transport ones. We study three aspects of the problem: (i) We quantitatively assess the role of the nuclear elastic cross section, for the first time, providing analytical formulas for the stopping power and inelasticity; (ii) We discuss the error arising from treating both elastic and pion production inelastic interactions as continuous energy loss processes, as opposed to catastrophic ones. The former is the approximation used in virtually all modern numerical calculations; (iii) We consider subleading effects such as relativistic corrections, radiative and medium processes in ionization energy losses. Our analysis reveals that neglecting (i) leads to errors close to 1%, notably around and below 1 GeV, neglecting (ii) leads to errors reaching about 3% within the considered energy range, (iii) contributes to a minor effect, gauged at the level of 0.1%. Consequently, while (iii) can currently be neglected, (ii) warrants consideration, and we also recommend incorporating (i) into computations. We conclude with some perspectives on further steps to be taken towards a high-precision goal of theoretical CR predictions regarding the treatment of energy losses. Published by the American Physical Society 2024

Features of the Neutralization of Fast Protons in a Hydrocarbon Pellet Cloud

To measure the high-energy part of the energy distribution function of ions in a hot plasma using the pellet charge exchange (PCX) diagnostic, it is necessary to know the energy dependence of the fraction F0(E) of fast ions neutralized when intersecting a pellet cloud. Using experimental and calculated data on the ablation of polystyrene macroparticles (pellets) in the LHD stellarator, the function F0(E) for protons in the hydrocarbon cloud has been calculated in the energy range of 50–1000 keV at pitch angles \\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$ \\geqslant {\\kern 1pt} 70^\\circ $$\\end{document}. At energies of 50‒200 keV, it is necessary to take into account the decrease in the flux of neutralized protons multiply intersecting the cloud. Energy losses of protons along the trajectory provide a lower bound E > 100 keV for the possible PCX measurements. The necessity of the control of the charge state composition and structure of the cloud limits the view area of the detector of atoms within ±30 mm from the position of a pellet along the magnetic field. For this reason, the injection axis should be aligned with the observation axis of the neutral particle analyzer for the optimal geometry of PCX measurements with polystyrene pellets.

Development of a 2D digital proton–proton scattering technique for hydrogen depth profiling

Measuring hydrogen concentration and determining its depth profile in different substrates has always been a major challenge for material science. Proton–proton scattering is a nondestructive technique for hydrogen analysis in thin samples. In this paper, the development of a 2D coincidence proton–proton spectroscopy was performed using a 3 MeV Van de Graaff accelerator. In the presented technique, the coincidence recording of the proton–proton scattering events by a waveform digitizer provides the sum‐difference energy spectrum of the correlated events. By determining the proton energy loss in the sample, the hydrogen depth profile was extracted. To correct the error in the counting efficiency due to the multiple scattering, the Monte Carlo simulation was performed using the Corteo code. The performance of the technique was tested by measuring the concentration of hydrogen on both sides of a thin layer of aluminum. The results confirmed that the established technique is sensitive enough to separate the hydrogen peaks of these two thin layers.

Electronic stopping power of protons in platinum: Direct valence and inner-shell-electron excitations from first-principles calculations

The electronic energy loss of proton in platinum (Pt) is studied through nonadiabatic electron-ion coupling dynamic simulations within time-dependent density functional formalism. We have clarified the counterintuitive deviation from velocity proportionality due to the existence of kink velocity of the $d$ electron excitation for a slow proton moving in metal Pt, whose valence $d$ band indeed extends up above the Fermi energy. We have also quantitatively investigated the involvement of the host core electron excitation in the ion-target interaction, through monitoring the evolution of the bound electron number on a specific orbital of the host atom during the close encounter with the flying incident ion. It is found that the low-lying $5p$, $5s$, and $4f$ configuration excitations play significant roles in determining the profile of the stopping curve around and above the stopping maximum.

Lightweight Omnidirectional Radiation Protection for a Photon-Counting Imaging System in Space Applications

Concerns about the impact of space radiation on spacecraft and their internal instruments have prompted the need for effective protection. However, excessive protection can increase the costs and difficulty of space launches, making it crucial to achieve better shielding protection of lighter weights. In real space orbits, we observed the interference of charged particles on photon-counting imaging detectors and plan to address this issue by adding a shielding ring to the side wall of the detector input terminal. Additionally, a local protection structure was proposed for electronics, where the outer edge was increased to enable particles to reach the same thickness as the shielding box within the PCB range. This approach resulted in an omnidirectional spatial shielding thickness that was nearly identical at any point on the PCB surface. Furthermore, we used the Monte Carlo method to calculate the energy loss of electrons and protons in materials such as aluminum (Al), tantalum (Ta), and high-density polyethylene (HDPE). Through this analysis, we determined the optimal mass ratio of Al, Ta, and HDPE to achieve the lowest ionization doses at an object’s location in the particle environment of the FY-3 satellite orbit. This protection strategy provides a useful design concept for photoelectric detection instruments with high sensitivity.

The dependence of proton energy on the parametric degradation in silicon bipolar junction transistors

The effects of high total dose proton irradiation on the reliability of silicon NPN rf power bipolar junction transistor (BJT) were examined by subjecting to 1, 3, and 5 MeV protons in the dose range from 100 Krad to 100 Mrad. The electrical characteristics such as Gummel characteristics (IB, IC-VBE), excess base current (ΔIB = IBpost – IBpre), current gain (hFE), and output characteristics (IC-VCE), built-in potential (Vbi) and the effective doping concentration (Nd) were studied before and after irradiation. SRIM simulation was conducted to understand the range and energy loss of protons in the BJT structure. SRIM and experimental results infer that the proton irradiation at lower energy (1 MeV) was found to degrade the current–voltage(I-V) and capacitance–voltage (C-V) characteristics more severely than higher-energy (3 and 5 MeV) proton irradiation. Thermal annealing on irradiated devices was also conducted to study the parametric recovery of irradiated devices.

Electrical deterioration of 4H-SiC MOS capacitors due to bulk and interface traps induced by proton irradiation

In this study, the displacement damage dose (DDD) effects of proton irradiation on bulk crystal and interfacial properties of 4H-SiC MOS capacitors (MOSCs) were investigated. The Monte Carlo calculation code named SRIM (Stopping and Range of Ions in Matter) was first used to predict the depth profiles and damage distributions of protons. The 4H-SiC MOSCs were irradiated with 60, 100, 150 keV protons to fluences ranging from 5 × 1011 to 5 × 1013 cm−2. Capacitance-voltage (C-V) curves of the MOSCs were then measured to characterize the variation of the electrically active defects in 4H-SiC MOSCs. The results revealed that the non-ionization energy loss of incident protons leads to the accumulation of the primary defects in bulk SiC crystal as well as the increase of the interface traps between SiO2 and SiC crystal. A distinctive bump phenomenon was found in the weak inversion region of the C-V curve and it became more prominent with the increase of proton fluence, providing evidence for the existence of bulk traps. Furthermore, the incident proton energy is also a crucial factor in interface deterioration, suggesting that more interface traps would be formed when the proton damage peak is closer to the SiO2/SiC interface.

Energy loss of MeV protons in diamond: Stopping power and mean ionization energy

Energy loss of MeV protons in diamond: Stopping power and mean ionization energy

Experimental setup for interaction between highly charged ions and laser-produced plasma near Bohr velocity energy region

Ion energy loss in the interaction between highly charged ions and dense plasma near Bohr velocity energy region is one of the important physical problems in the field of high-energy density physics driven by intense heavy ion beams. Based on the 320 kV experimental platform at the Institute of Modern Physics, Chinese Academy of Sciences, a new experimental setup was built for the research of interaction between ions and laser-produced plasma near the Bohr velocity, where the ion energy loss and charge state distribution can be experimentally investigated. In this paper we introduce the new setup in detail, including the generation and controlling of pulsed ion beam ( ≥ 200 ns); the preparation of high-density laser plasma target (10<sup>17</sup>—10<sup>21</sup> cm<sup>–3</sup>); the diagnostics of plasma and the developed high energy resolution ion measurement system (< 1%). In the experiment, the charge distribution of Xe<sup>15+</sup> ions with 4 MeV penetrating through the laser-produced Al plasma target is measured. The charge-state analysis device observes different results without and with the plasma, in which the outgoing Xe ion charge-state changes correspondingly from the 15+ to 10+, thus the electron capture process is believed to be dominant. In addition, the proton energy loss is also measured by using the magnetic spectrometer, showing that the experimental energy loss is about 2.0 keV, 30% higher than those theoretical predictions , which can be attributed to the fact that in the near Bohr velocity energy regime, the first-order Born approximation condition is not valid, thus the Bethe model and SSM model are inapplicable to the experimental results. In future, a systematic study will be performed based on our ions-plasma ineteraction setup, and the energy loss and charge state data will be introduced.

Extension of the open-source TIGRE toolbox for proton imaging

Proton irradiation is a well-established method to treat deep-seated tumors in radio oncology. Usually, an X-ray computed tomography (CT) scan is used for treatment planning. Since proton therapy is based on the precise knowledge of the stopping power describing the energy loss of protons in the patient tissues, the Hounsfield units of the planning CT have to be converted. This conversion introduces range errors in the treatment plan, which could be reduced, if the stopping power values were extracted directly from an image obtained using protons instead of X-rays. Since protons are affected by multiple Coulomb scattering, reconstruction of the 3D stopping power map results in limited image quality if the curved proton path is not considered. This work presents a substantial code extension of the open-source toolbox TIGRE for proton CT (pCT) image reconstruction based on proton radiographs including a curved proton path estimate. The code extension and the reconstruction algorithms are GPU-based, allowing to achieve reconstruction results within minutes. The performance of the pCT code extension was tested with Monte Carlo simulated data using three phantoms (Catphan® high resolution and sensitometry modules and a CIRS patient phantom). In the simulations, ideal and non-ideal conditions for a pCT setup were assumed. The obtained mean absolute percentage error was found to be below 1% and up to 8 lp/cm could be resolved using an idealized setup. These findings demonstrate that the presented code extension to the TIGRE toolbox offers the possibility for other research groups to use a fast and accurate open-source pCT reconstruction.

Analysis of displacement damage mechanism and simulation proton irradiation on GaAs

GaAs is an important material for preparing power supply for space vehicles, satellites, and space systems. To study the displacement damage of GaAs material caused by protons in the space environment, in this article, the Monte Carlo software Geant4 was used to simulate the transport process of space protons in GaAs; calculate the non-ionizing energy loss (NIEL) of protons with different energies; and obtain the species, energy range, and proportion of primary knock-on atom produced by proton irradiation with different energies. The results show that with the increase in the incident proton energy, the probability of elastic collision decreases and the probability of inelastic collision increases. The main source of displacement damage changes from elastic collision to inelastic collision. The radiation damage of low energy protons is serious at the end of the range, while that of high energy protons is serious at the beginning and end of the range. With the increase in the proton energy, the number of displaced atoms increases and the NIEL changes slowly. This provides a theoretical reference for the reliable operation of spacecraft.

Calculations on the stopping power of the warm dense matter at the Bragg peak

This work aims to be useful for future experiments providing hydrodynamic and stopping power calculations to warm dense matter (WDM) analysis. For this purpose, the hydrodynamic simulations have been carried out using MULTI-fs code. Key plasma parameters - e.g., electron temperature, mass density, ionization, etc- have been studied at different expansion times to show the WDM behavior. Thanks to these data from the hydrodynamic simulations, precise stopping power calculations can be performed. A comparison is made between our present stopping power model with other models in the literature at the Bragg peak. Specifically, proton energy loss is estimated in carbon at a WDM state described by the hydrodynamic simulations. As the Bragg peak is the energy range where most differences arise between theoretical stopping power models, an experiment of the characteristics here described could be useful to differentiate between these models and to test their validity in the WDM regime.

Improvements and validation of particle channeling model in GEANT4

In this work several modifications to the default GEANT4 channeling model are provided and the results are validated against experimental data. The channeling model in GEANT4 10.3 version comes with physical process wrapper classes instead of cross section biasing operations which are used in the version 11.0. Initial simulations have shown that inaccurate energy losses of channeled particles are simulated with the original GEANT4 11.0 channeling model. In order to correct this, the cross section biasing operations were changed with the wrapper classes and the energy loss of channeled particles was compared to experimental results. The energy loss of protons and deuterons was evaluated and validated along the 〈100〉, 〈110〉 and 〈111〉 directions of Si, Ge and GaAs in the energy region 1–20 MeV. The difference between the simulated and the experimental stopping powers was less than 10 % in most cases. Higher deviations (up to ∼ 20 %) were observed in the low energy region, below 4 MeV. The overall good agreement with the experimental results shows that the modified model is able to accurately predict stopping powers in channeling conditions for protons and deuterons. Another modification to the model was the inclusion of the condition of critical channeling angle. The simulations have shown that the simulated critical angle is in good agreement with the theoretical one. Also, the comparison of different particle step size limitations during the simulations has shown that the channeling process is particularly sensitive to simulation conditions such as beam spread, sample rotation, lattice quality etc. The modified model is being further developed and the possibility of RBS/C spectra simulation is investigated.

A Geant4 simulation of X-ray emission for three-dimensional proton imaging of microscopic samples.

Proton computed microtomography is a technique that reveals the inner content of microscopic samples. The density distribution of the material (in g·cm-3) is obtained from proton transmission tomography (STIM: Scanning Transmission Ion Microscopy) and the element content from X-ray emission tomography (PIXE: Particle Induced X-ray Emission). A precise quantification of chemical elements is difficult for thick samples, because of the variations of X-ray production cross-sections and of X-ray absorption. Both phenomena are at the origin of an attenuation of the measured X-ray spectra, which leads to an underestimation of the element content. Our aim is to quantify the accuracy of a specific correction method that we designed for thick samples. In this study, we describe how the 3D variations in the mass density were taken into account in the reconstruction code, in order to quantify the correction according to the position of the proton beam and the position and aperture angle of the X-ray detector. Moreover, we assess the accuracy of the reconstructed densities using Geant4 simulations on numerical phantoms, used as references. The correction process was successfully applied and led, for the largest regions of interest (little affected by partial volume effects), to an accuracy ≤ 4% for phosphorus (compared to about 40% discrepancy without correction). This study demonstrates the accuracy of the correction method implemented in the tomographic reconstruction code for thick samples. It also points out some advantages offered by Geant4 simulations: i) they produce projection data that are totally independent of the inversion method used for the image reconstruction; ii) one or more physical processes (X-ray absorption, proton energy loss) can be artificially turned off, in order to precisely quantify the effect of the different phenomena involved in the attenuation of X-ray spectra.

The free electron model and the electronic energy losses of protons at low velocities interacting with polycrystalline tantalum

In this letter, we report experimental data and theoretical work on the electronic energy loss and energy loss straggling of protons transmitted through self-supported thin films of tantalum in a polycrystalline tetragonal phase . Low-energy protons with energies below 10 keV and Ta films with nominal thickness of 6, 9 and 12 nm are used. The aim of this work is to understand the unexpected values of the Ta stopping power for low-energy proton backscattering reported recently, which are far from the prediction of the standard free electron gas model and semi-empirical approaches. This had led the authors to conclude the failure of the free electron model. Our transmission measurements confirm these experimental results. In this work, a qualitative discussion and quantitative explanation of our experimental results is given, using an approach based on the density functional theory within the framework of the free electron gas (FEG) model. We performed semiclassical deterministic trajectory simulations and employ the local density approximation model, using an inhomogeneous electron density distribution and the polycrystalline character of Ta samples.

Collision site effect on the radiation dynamics of cytosine induced by proton

By combing the time-dependent density functional calculations for electrons with molecular dynamics simulations for ions (TDDFT-MD) nonadiabatically in real time, we investigate the microscopic mechanism of collisions between cytosine and low-energy protons with incident energy ranging from 150 eV to 1000 eV. To explore the effects of the collision site and the proton incident energy on irradiation processes of cytosine, two collision sites are specially considered, which are N and O both acting as the proton receptors when forming hydrogen bonds with guanine. Not only the energy loss and the scattering angle of the projectile but also the electronic and ionic degrees of freedom of the target are identified. It is found that the energy loss of proton increases linearly with the increase of the incident energy in both situations, which are 14.2% and 21.1% of the incident energy respectively. However, the scattering angles show different behaviors in these two situations when the incident kinetic energy increases. When proton collides with O, the scattering angle of proton is larger and the energy lost is more, while proton captures less electrons from O. The calculated fragment mass distribution shows the high counts of the fragment mass of 1, implying the production of H+ fragment ion from cytosine even for proton with the incident energy lower than keV. Furthermore, the calculated results show that N on cytosine is easier to be combined with low-energy protons to form NH bonds than O.

In situ ions energy spectrum measurement using a diamond detector in laser-accelerated ions–plasma interaction

Intense ion beams driven by ultra-high-power lasers are very interesting in terms of their elementary physics and potential applications. We introduce a new experimental result that the energy spectra of laser-accelerated protons and carbon ions are measured in situ by time-of-flight method using a diamond detector. An obvious interference on the detector system from the electromagnetic pulse is found and we propose a mathematical processing method to improve the distinguishability of ions in TOF. The experimental evidence of the energy loss of protons in dense plasma is presented and the comparison with the ex situ energy loss result is given too.

Use of Bayesian Optimization to understand the structure of nuclei

Monte Carlo simulations are widely used in nuclear physics to model experimental systems. In cases where there are significant unknown quantities, such as energies of states, an iterative process of simulating and fitting is often required to describe experimental data. We describe a Bayesian approach to fitting experimental data, designed for data from a 12Be(d,p) reaction measurement, using simulations made with GEANT4. Q-values from the 12C(d,p) reaction to well-known states in 13C are compared with simulations using BayesOpt. The energies of the states were not included in the simulation to reproduce the situation for 13Be where the states are poorly known. Both cases had low statistics and significant resolution broadening owing to large proton energy losses in the solid deuterium target. Excitation energies of the lowest three excited states in 13C were extracted to better than 90 keV, paving a way for extracting information on 13Be.