Abstract
The frequency distribution of the lineal energy, y, of a 30-MeV proton beam was measured as a function of the radial distance from the beam path, and the dosed mean of was obtained to investigate the radial dependence of A wall-less tissue-equivalent proportional counter, in a cylindrical volume with simulated diameters of 0.36, 0.72 and 1.44 µm was used for the measurement of y distributions, yf(y). The measured values of yf(y) summed in the radial direction agreed fairly well with the corresponding data taken from the microdosimetric calculations using the PHITS code. The value of the 30-MeV proton beam presented its smallest value at r = 0.0 and gradually increased with radial distance, and the values of heavy ions such as iron showed rapid decrease with radial distance. This experimental result demonstrated that the stochastic deposited energy distribution of high-energy protons in the microscopic region is rather constant in the core as well as in the penumbra region of the track structure.
INTRODUCTION
Radiation-induced biological effects are related to the track structure around charged particles and are strongly dependent on the type and energy of the radiation involved. Deposited energy in the subcellular region of a tissue causes damage to living cells through physical, chemical and biological processes. Measuring the deposited dose D(r) as a function of radial distance r from the ion beam path provides information on the spatial distribution of deposited energy. Much data have been collected since 1960s for protons(1–7), deuterons(3) and the particles of helium(4, 8, 9), carbon(9, 10), nitrogen(11), oxygen(9, 12, 13), neon(11, 14), silicon(11), iron(10, 15–17), nickel(18), germanium(19, 20), bromine(21), iodine(12) and uranium(19) using tissue-equivalent proportional counters (TEPC) or tissue-equivalent ion chambers. Data on the stochastic depositions of energy such as the lineal energy distribution(22) yf(y) are also of great importance for the verification of theoretical models applied to the evaluation of relative biological effectiveness (RBE) of radiation therapy(23–27), and track structure models(28–33) have been verified and improved on the basis of the data from radial dose distributions.
While much data on the deposited energy distributions at the microscopic scale have been reported for various ions and energies, there is a limited amount of data from measurements taken under homogeneous conditions using a wall-less TEPC(1–7, 9, 10, 15, 19, 20, 34–37). Such a device can measure yf(y) precisely for energetic ion beams in particular. The dose-mean of yf(y), is an appropriate index for evaluating the beam quality in a microscopic region of interest. Toburen et al.(19, 20) reported the dependence of on radial distance in radial dose distributions taken for 5.9-MeV u−1 and 16.2-MeV u−1 Germanium ions. Their studies indicated that the values of rapidly decrease with increasing radial distance and approach a constant due to secondary delta rays. For proton beams, Tsuda et al.(37) showed the unique characteristics of proton and ion beams with kinetic energies ranging from 20 to 160 MeV, whose values of linear energy transfer (LET) were less than ∼10 keV µm−1. Under the broad beam irradiation condition, the obtained values for the proton beams are larger than the LET values, and the values of He, C and Si ions with kinetic energies of >150 MeV u−1 are less than those of LET. This is attributed to the discrete energy deposition of delta rays produced by high-energy protons.
To further investigate the microscopic energy deposition of high-energy protons in the radial direction, a wall-less TEPC(10, 36, 37) has been used to measure stochastic radial dose distributions due to a narrow proton beam with kinetic energy of 30 MeV because there are little data for protons with energies of >5 MeV. This paper reports the measured values of yf(y) for a 30-MeV proton beam at different radial distances, the radially summed yf(y), a comparison of the authors’ experimental yf(y) with that calculated by the particle and heavy ion transport code system, PHITS(38), and the dependence of on radial distance.
MATERIALS AND METHODS
Experimental
The measurement of yf(y) was performed with the 30-MeV proton beam produced from a K110 AVF cyclotron at Takasaki Ion Accelerators for Advanced Radiation Application (TIARA)(39) at the Japan Atomic Energy Agency. The cyclotron can accelerate protons and heavy ions up to 90 MeV and 27.5 MeV n−1, respectively. Figure 1 shows the experimental set-up in the HB1 beam line at TIARA. The accelerated 30-MeV proton beam provided from the cyclotron was extracted into the air through an aluminium collimator with a hole 1 mm across.
Figure 1.

Schematic and photograph of the experimental set-up.
The detection part of the wall-less TEPC(10, 36, 37) was composed of a thin anode wire and a helical cathode wire, the sizes of each of which were 3 mm in diameter and 3 mm height. The inside of the wall-less TEPC was filled with a propane-based tissue-equivalent gas(22) (TE-gas), the volume percentage of the propane being 54.7 %, the carbon dioxide 39.7 % and the nitrogen 5.6 %. The pressures of the TE gas were set at 6.67 × 103 Pa (50 Torr), 1.33 × 104 Pa (100 Torr) and 2.67 × 104 Pa (200 Torr). The mean chord length of a cavity is πd/4 for the beam irradiation on the cylindrical detection part perpendicular to the central axis. The corresponding volumes are 0.36 µm at 50 Torr, 0.72 µm at 100 Torr and 1.44 µm at 200 Torr. The change of the gas pressure was set to be <1 % under each condition, because the stability of the gas pressure was directly related to the uncertainty of the simulated site size. The centres of the detection parts in the wall-less TEPC and the beam monitor were positioned in a straight line on the trajectory of the incident proton beam (r = 0.0). The vertical positions of the wall-less TEPC were changed to measure the yf(y) values for different radial distances, r. The adjustment of height was performed using a lab jack with the precision of <0.5 mm.
A schematic of the measurement system is shown in Figure 2. For obtaining signals in a wide range, the signals from the wall-less TEPC were divided into three and fed into a digital storage oscilloscope (DSO) through a preamplifier and a linear amplifier. In order to reduce the pile up, the beam intensity was determined based on the count rates of the beam monitor 1, not on the beam current provided by the beam operator. The dead-time owing to the data processing in the hard-disc drive on the DSO was corrected using the recorded time stamp of each data.
Figure 2.
Schematic of the measurement system.
The coincidence measurement between the wall-less TEPC and beam monitor 1 was performed by triggering the signal of the wall-less TEPC, because it had a lower detection efficiency than beam monitor 1, especially when the wall-less TEPC was positioned radially far from the beam path. The details of beam monitor 1 are reported elsewhere(10). Beam monitor 1 consisted of 8 × 8 bundled plastic scintillation fibre arrays arranged laterally and vertically. The square cross section of each fibre was 1 mm2. The beam spread observed by the beam monitor 1 was estimated to be ∼3 mm in diameter. The beam was likely to be dispersed by the Kapton film set on the exit of the collimator (55 µm thick) and the beam window of the wall-less TEPC (50 µm thick).
Beam monitor 2 was a 5-inch plastic scintillation detector used to obtain the total number of incident protons passing the wall-less TEPC and beam monitor 1. Using the total numbers of incident protons measured by beam monitor 2, the normalizations of the radial doses and the yf(y) were performed.
To remove the pile-up events recorded in beam monitor 1, the single events that were recorded at both/either the x and y axes positions were extracted from data, irrespective of the detected position in the sensitive area of the beam monitor 1. The obtained pulse-height distribution was then converted into y distributions based on the calibration data using a surface source of 244Cm (Eα = 5.78 MeV) installed inside the wall-less TEPC. A distance of 7 mm was kept between the centre of the source and the anode during the calibration, which was performed before and after each beam irradiation. The details of the experimental conditions have been reported elsewhere(36, 37).
Dose-mean lineal energy
According to the definition of microdosimetry, the dose-mean lineal energy , was obtained from the yf(y) distribution as follows(22):
| (1) |
where d(y) is the dose probability density of y, and ymax and ymin are the maximum and minimum values of y, respectively, which can be measured. Because the values of ymin were based on the noise levels under experimental conditions, the obtained experimentally was restricted and differed from what would be obtained under ideal conditions (i.e. for ymin = 0). Note that is less sensitive to a change in ymin than which is the frequency mean of y.
The frequency distribution measured at a radial distance ri using a narrow beam is defined as fi(y). The ‘narrow’ beam diameter was less than ∼3 mm at the sensitive volume of the wall-less TEPC. To compare the results with the calculation or with other measurements using a broad beam, the frequency distribution of y for a broad beam condition was obtained by summing the fi(y) values obtained at different radial distances ri:
| (2) |
where Ri is the relative probability of a single event per incident proton occurring in the detection part of the wall-less TEPC and Ai is the relative area at a radial distance, ri. The ‘broad’ beam diameter is ∼10 cm, which is large enough to cover the radial distance range of the measurement in this study. The value of Ri was determined as the ratio of the number of protons detected in the wall-less TEPC and beam monitor 1 to total number of incident protons on beam monitor 2.
RESULTS AND DISCUSSION
Lineal energy distributions
Figure 3 shows the measured yfi(y) values under TE gas pressures of 50, 100 and 200 Torr. The area under each dataset was normalised by the total count of beam monitor 2 at each radial distance. The uncertainties represent one standard deviation based on the statistical counts for each bin. At each pressure, the shape of the distribution at r = 0.0 µm seems not to be so different than other distributions measured far from the beam path, although the count is much higher than those obtained at other radial distances. This is because the 30-MeV proton beam has similar stopping power (dE/dx) to the produced delta rays, whereas the dE/dx values of heavy ions are sufficiently large to show distinct peaks from delta rays in the pulse-height distributions(37). The values of dE/dx of protons and electrons in human soft tissue (muscle) and water, which were calculated using the SRIM code(40) and the ESTAR code(41), respectively, are presented in Figure 4. It is noted that the difference of the values of dE/dx between the soft tissue and water is not significant in this energy range and that the value of dE/dx for 30-MeV protons in soft tissue is ∼2 keV µm−1. The broad peaks of the primary 30-MeV protons are seen around 1 keV µm−1 in each distribution at r = 0.0 µm under all pressure conditions. The counts obtained away from the beam path are much smaller than those at r = 0.0 µm and decrease by increasing the radial distance.
Figure 3.

Lineal energy distributions measured in 0.36 µm at 50 Torr, 0.72 µm at 100 Torr and 1.44 µm at 200 Torr diameter simulated tissue volumes as a function of the radial distance from a 30-MeV proton beam.
Figure 4.

Stopping power of protons(40) and electrons(41) in human tissue and water.
Radial dose distributions
Measured radial doses are shown in Figure 5, along with the calculations performed using the models of Katz et al.(28, 29), Chunxiang(30), Chatterjee(31) and Kiefer(32) and the Monte Carlo simulation-based model by RITRACKS(33). The uncertainties of radial distance are within the size of the symbols. The relative measured radial doses agree with the calculation fairly well, although among the calculation models, slight differences can be found.
Figure 5.

Radially summed lineal energy distributions for 30-MeV proton beam along with the distributions calculated by PHITS. The areas under the distributions are normalised to unity.
Comparison of yf(y) with Monte Carlo simulation
Radially summed yf(y) values are presented in Figure 6. Experimental data were obtained according to Equation (2) by summing the measured yfi(y) from 0.0 to the maximal radial distances under pressures of 50, 100 and 200 Torr. The areas under the distributions were normalised to unity. The calculation of yf(y) using the microdosimetric calculation procedure(42), incorporated into the PHITS code(38), was ideally performed from r = 0.0 to infinity in the homogeneous condition filled with water. The statistical uncertainties for the PHITS calculation are too small to be observed. Beyond 10 keV µm−1, the measured data are larger than the calculation. The reason can be explained by the additional energy deposition from the delta rays produced in the structural materials such as the cathode wire, as reported in (43). However, the experimentally obtained yf(y) agree with the calculation fairly well. This result implies that the range of the radial distance determined in the measurement, >1.8 µm, is large enough to obtain the yf(y) under an infinite condition in water.
Figure 6.

Radial dose distributions for a 30-MeV proton beam (relative comparison).
Comparison of for protons with for heavy ions
Figure 7 shows the evaluated values at various radial distances for 30-MeV protons along with those for 5.9 MeV u−1 uranium(19, 20), 16.2 MeV u−1 germanium(19) and 600 MeV u−1 iron(15). The uncertainties of the radial distances cannot be seen in Figure 7, because the values are smaller than symbol sizes. In comparison with the values of the 30-MeV protons with those for other ions in radial distance far from the beam path, the of the 30-MeV protons is consistent with other results. The reasons are that the maximum energy of delta rays is proportional to the kinetic energy per nucleon and the dE/dx of electrons in the energy range from 1 keV to 1 MeV decrease with kinetic energy, as shown in Figure 4.
Figure 7.

The radial dose-mean lineal energy measured in 0.36 µm (square), 0.72 µm (circle) and 1.44 µm (triangle) diameter simulated tissue volumes as a function of the radial distance from a 30-MeV proton beam and other heavier ions(15, 19, 20). Lines are in place to guide the eye.
For the heavy ions, decrease with radial distance rapidly and almost remain constant in radial distance far from the beam path, owing to the relatively small energy deposition of delta rays. Moreover, the values of at r = 0.0 are the largest because the dE/dx of the incident heavy ions are much greater than that of the delta rays. On the other hand, for the 30-MeV proton beam, the value of at r = 0.0 µm is the smallest and increases gradually with radial distance. This dependence of on radial distance, the opposite of that observed in heavy ions, can be explained by the fact that the dE/dx of the 30-MeV protons is almost equivalent to those of the delta rays, as shown in Figure 6. Because the value of dE/dx includes all the contributions of delta rays, the energy deposition of the 30-MeV proton at r = 0.0 µm is reduced from that of the delta rays.
For further discussion, Figure 8 shows the yf(y) calculated using the microdosimetric function(42) of the PHITS code for protons with incident energy of 1 and 30 MeV in simulated tissue volume of 0.72 µm. For the yf(y) for 30 MeV, already shown in Figure 6, only one broad peak can be seen, because the contribution of the primary protons and the delta rays are overlapped. On the other hand, for 1-MeV protons, one can see two peaks: one is for the primary protons around ∼30 keV µm−1 and the other for delta rays is found in the range of y < ∼4 keV µm−1. It is revealed that the values for high-energy protons increase with radial distance and remain almost constant, and the dependence of on radial distance for low-energy protons is similar to those of heavy ions. Hence, the stochastic deposit energy distributions of high-energy protons is rather constant in the microscopic region both in the core and the penumbra region of the track structure compared with heavy ions, though the radial dose decreases with radial distance.
Figure 8.

Calculated yf(y) for protons with incident energy of 1 and 30 MeV in simulated tissue volume of 0.72 µm.
CONCLUSIONS
Radial distributions of lineal energy for a 30-MeV proton beam have been obtained using a wall-less TEPC. The obtained radial dose distributions agreed with predictions by theories and models fairly well. The radially summed yf(y) were found to agree with the results calculated by the microdosimetric function of PHITS. It was found that for high-energy protons, the values of increase gradually with radial distance due to the relatively small dE/dx of the incident proton beam, and the stochastic deposit energy distributions in the microscopic region are rather constant both in the core and in the penumbra region of the track structure. Stochastic and spatial data of the deposited energy in the microscopic region will be useful for precise modelling of radial dose as well as clinical application for the estimation of RBE.
FUNDING
This work was supported by Japan Atomic Energy Agency.
ACKNOWLEDGEMENTS
The authors thank the technical staff of TIARA for providing support during the experiments.
REFERENCES
- 1.Glass W. A., Roesch W. C. Measurement of ionization distributions in tissue-equivalent gas. Radiat. Res. 49, 477–494 (1972). [PubMed] [Google Scholar]
- 2.Bettega D., Birattati C., Candoni B., Coppola M., Poli A., Sverzellati P. P., Lombardi L. T. Energy deposition by proton beams of up to 31 MeV in microscopic volumes. Radiat. Environ. Biophys. 19, 79–89 (1981). [DOI] [PubMed] [Google Scholar]
- 3.Menzel H. G., Booz J. Measurement of radial energy deposition spectra for protons and deuterons in tissue equivalent gas. In: Proceedings. 5. Symposium on Microdosimetry Verbania Pallanza, Italy, EUR 5452 (Vol.1), Commission of the European Communities (CEC), pp. 22–26 (1976). [Google Scholar]
- 4.Wingate C. L., Baum J. W. Measured radial distributions of dose and LET for alpha and proton beams in hydrogen and tissue-equivalent gas. Radiat. Res. 65, 1–19 (1976). [PubMed] [Google Scholar]
- 5.Baily N. A., Steigerwalt J. E., Hilbert J. W. Frequency distributions of energy deposition by 44 meV protons at bone-soft tissue interfaces. Radiat. Res., 56, 205–212 (1973). [PubMed] [Google Scholar]
- 6.Baily N. A., Steigerwalt J. E., Hilbert J. W. Changes in the frequency distribution of energy deposited in short pathlengths as a function of energy degradation of the primary beam. Radiat. Res. 49, 26–35 (1972). [PubMed] [Google Scholar]
- 7.Hilbert J. W., Baily N. A. Energy deposition in microscopic volumes by high-energy protons. Radiat. Res. 39, 1–14 (1969). [PubMed] [Google Scholar]
- 8.Kanai T., Kawachi K. Radial dose distribution for 18.3 MeV/n α beams in tissue-equivalent gas. Radiat. Res. 112, 426–435 (1987). [PubMed] [Google Scholar]
- 9.Schmollack J. U., Klaumuenzer S. L., Kiefer J. Stochastic radial dose distributions and track structure theory. Radiat. Res. 153, 469–478 (2000). [DOI] [PubMed] [Google Scholar]
- 10.Tsuda S., Sato T., Watanabe R., Takada M. Radial dependence of lineal energy distribution of 290 MeV/u carbon and 500 MeV/u iron ion beams using a wall-less tissue-equivalent proportional counter. J. Radiat. Res. 561, 197–204 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Guetersloh S. B., Borak T. B., Taddei P. J., Zeitlin C., Heilbronn L., Miller J., Murakami T., Iwata Y. The response of a spherical tissue-equivalent proportional counter to different ions having similar energy transfer. Radait. Res. 161, 64–71 (2004). [DOI] [PubMed] [Google Scholar]
- 12.Varma M. N., Baum J. W., Kuehner A. V. Energy deposition by heavy ions in a ‘tissue equivalent’ gas. Radiat. Res. 62, 1–11 (1975). [PubMed] [Google Scholar]
- 13.Varma M. N., Baum J. W., Kuehner A. V. Radial dose, LET, and W for 16O ions in N2 and tissue-equivalent gases. Radiat. Res. 70, 511–518 (1977). [PubMed] [Google Scholar]
- 14.Varma M. N., Baum J. W. Energy deposition in nanometer regions by 377 MeV/nucleon 20Ne ions. Radiat. Res. 81, 355–363 (1980). [Google Scholar]
- 15.Metting N. F., Rossi H. H., Braby L. A., Kliauge P. J., Howard J., Zaider M., Schimmerling W., Wong M., Rapkin M. Microdosimetry near the trajectory of high-energy heavy ions. Radiat. Res. 116, 183–195 (1988). [PubMed] [Google Scholar]
- 16.Gersey B. B., Borak T. B., Guetersloh S. B., Zeitlin C., Miller J., Heilbronn L., Murakami T., Iwata Y. The response of a spherical tissue-equivalent proportional counter to iron particles from 200–1000 MeV/nucleon. Radait. Res. 157, 350–360 (2002). [DOI] [PubMed] [Google Scholar]
- 17.Rademacher S. E., Borak T. B., Zeitlin C., Heilbronn L., Miller J. Wall effects observed in tissue-equivalent proportional counters from 1.05 GeV/nucleon iron-56 particles. Radait. Res. 149, 387–395 (1998). [PubMed] [Google Scholar]
- 18.Furukawa K., Ohno S., Namba H., Taguchi M., Watanabe R. Radial dose distribution around a heavy ion's path. Radiat. Phys. Chem. 49, 641–644 (1997). [Google Scholar]
- 19.Toburen L. H., Braby L. A., Metting N. F., Kraft G., Scholz M., Schmidt-Bocking H., Dorner R., Seip R. Radial distributions of energy deposited along charged particle tracks. Radiat. Prot. Dosim. 31, 199–203 (1990). [Google Scholar]
- 20.Toburen L. H., Metting N. F., Braby L. A. Spatial patterns of ionization in charged-particle tracks. Nucl. Instr. Meth. B40/41, 1275–1278 (1989). [Google Scholar]
- 21.Varma M. N., Baum J. W., Kuehner A. V. Stopping power and radial dose distribution for 42 MeV bromine ions. Phys. Med. Biol. 25, 651–656 (1980). [DOI] [PubMed] [Google Scholar]
- 22.International Commission on Radiation Units & Measurements. Microdosimetry, International Commission on Radiation Units and Measurements Report 36. International Commission on Radiation Units & Measurements, Inc (1983).
- 23.Kase Y., Kanai T., Matsumoto Y., Furusawa Y., Okamoto H., Asaba T., Sakama M., Shinoda H. Microdosimetric measurements and estimation of human cell survival for heavy-ion beams. Radiat. Res. 166, 629–638 (2006). [DOI] [PubMed] [Google Scholar]
- 24.Inaniwa T., Furukawa T., Kase Y., Matsufuji N., Toshito T., Matsumoto Y., Furusawa Y., Noda K. Treatment planning for a scanned carbon bean with a modified microdosimetric kinetic model. Phys. Med. Biol. 55, 6721–6737 (2010). [DOI] [PubMed] [Google Scholar]
- 25.Sato T., Kase Y., Watanabe R., Niita K., Sihver L. Biological dose estimation for charged -particle therapy using an improved PHITS code coupled with a microdosimetric kinetic model. Radiat. Res. 171, 107–117 (2009). [DOI] [PubMed] [Google Scholar]
- 26.Sato T., Furusawa Y. Cell survival fraction estimation based on the probability densities of domain and cell nucleus specific energies using improved microdosimetric kinetic models. Radiat. Res. 178, 341–356 (2012). [DOI] [PubMed] [Google Scholar]
- 27.Sato T., Hamada N. Model assembly for estimating cell surviving fraction for both targeted and nontargeted effects based on microdosimetric probability densities. PLoS ONE 9(11), e114056 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Butts J. J., Katz R. Theory of RBE for heavy ion bombardment of dry enzymes and viruses. Radiat. Res. 30, 855–871 (1967). [PubMed] [Google Scholar]
- 29.Katz R., Varma M. N. Radial distribution of dose, physical and chemical mechanisms in molecular radiation biology. Basic Life Sci. 58, 163–180 (1991). [DOI] [PubMed] [Google Scholar]
- 30.Chunxiang Z., Dunn D. E., Katz R. Radial distribution of dose and cross-sections for the inactivation of dry enzymes and viruses. Radiat. Prot. Dosim. 13, 215–218 (1985). [Google Scholar]
- 31.Chatterjee A., Schaefer H. J. Microdosimetric structure of heavy ion tracks in tissue. Rad. Env. Biophys. 13, 215–227 (1976). [DOI] [PubMed] [Google Scholar]
- 32.Kiefer J., Straaten H. A model of ion track structure based on classical collision dynamics. Phys. Med. Biol. 31, 1201–1209 (1986). [DOI] [PubMed] [Google Scholar]
- 33.NASA Space Radiation Program Element, RITRACKS. Available on http://spaceradiation.usra.edu/downloads/ritracks (25 December 2014, date last accessed).
- 34.Kliauga P., Colvett R. D., Goodman L. J., Lam Y. M. Microdosimetry of 400 MeV/amu 12C and 450 MeV/amu 40Ar beams, EUR 6064. Harwood Academic, pp. 1173–1183 (1978). [Google Scholar]
- 35.Dicello J. F., Wasiolek M., Zaider M. Measured microdosimetric spectra of energetic beams of Fe, Ar, Ne, and C: limitation of LET distributions and quality factors in space research and radiation effects. IEEE Trans. Nucl. Sci. 38(6), 1203–1209 (1991). [Google Scholar]
- 36.Tsuda S., Sato T., Takahashi F., Satoh D., Endo A., Sasaki S., Namito Y., Iwase H., Ban S., Takada M. Measurement of microdosimetric spectra with a wall-less tissue-equivalent proportional counter for a 290 MeV/u 12C beam. Phys. Med. Biol. 55, 5089–5101 (2010). [DOI] [PubMed] [Google Scholar]
- 37.Tsuda S., Sato T., Takahashi F., Satoh D., Sasaki S., Namito Y., Iwase H., Ban S., Takada M. Systematic measurement of lineal energy distributions for proton, He and Si ion beams over a wide energy range using a wall-less tissue equivalent proportional counter. J. Radiat. Res. 53, 264–271 (2012). [DOI] [PubMed] [Google Scholar]
- 38.Sato T., et al. Particle and heavy ion transport code system phits, Version 2.52, J. Nucl. Sci. Technol., 50, 913–923 (2013). [Google Scholar]
- 39.Ohara Y., Arakawa K., Fukuda M., Kamiya T., Kurashima S., Nakamura Y., Okumura S., Saidoh M., Tajima S. Development of cyclotron beam technology for applications in materials science and biotechnology at JAERI-TIARA. In: 17th International Conference of Application of Accelerators in Research and Industry (CP680), American Institute of Physics (AIP), pp. 1067–1070 (2003). [Google Scholar]
- 40.Ziegler J. F., Biersack J. P., Ziegler M. D. The stopping and range of ions in matter. Available on http://www.srim.org/ (7 April 2015, date last accessed).
- 41.Berger M. J. NISTIR 4999, National institute of standards and technology. (Gaithersburg, MD: National Institute of Standards and Technology) (1993).
- 42.Sato T., Watanabe R., Niita K. Development of the calculation method for estimating the specific energy distribution in complex radiation fields. Radiat. Prot. Dosim. 122(1–4), 41–45 (2006). [DOI] [PubMed] [Google Scholar]
- 43.Tsuda S., Sato T., Takahashi F., Satoh D., Endo A., Sasaki S., Namito Y., Iwase H., Ban S., Takada M. Analysis of the effect of structural materials in a wall-less tissue equivalent proportional counter irradiated by 290 MeV/u carbon beam. Radiat. Prot. Dosim. 143 (2–4), 450–454 (2011). [DOI] [PubMed] [Google Scholar]

