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Two-dimensional approach to
XANES measurement using a silicon drift detectoraJapan Synchrotron Radiation Research Institute/SPring-8, 1-1-1 Kouto, Sayo 679-5198, Japan, and bImmunology Frontier Research Center, Osaka University, 3-1 Yamadaoka, Suita, Osaka 565-0871, Japan
*Correspondence e-mail: tamenori@spring8.or.jp
The objective of this article is to describe the capability of a two-dimensional (2D) approach to X-ray absorption near-edge structure (XANES) measurement by means of a partial
(PFY) method. 2D-XANES measurements were achieved by using a silicon drift detector as an energy-dispersive fluorescence detector. The advantage of this technique is that it allows full surveys of data that are lost in conventional PFY measurements. The availability of a map approach was demonstrated by applying it to XANES measurements in both a diluted (Mn-doped nano-diamond) and a concentrated (MnO crystal) manganese sample. The 2D approach clearly distinguished between the PFY spectra of Mn and O atoms, where absorption edges of both elements are close to each other. Further, the 2D approach extracted an unambiguous PFY spectrum of phosphorus in the XANES measurement of SS304 (P < 0.045 wt%).Keywords: XANES; soft X-rays; silicon drift detector; partial fluorescence yield; map approach.
1. Introduction
Since the pioneering work by Jaklevic et al. in 1977 (Jaklevic et al., 1977), (FY) detection has been widely used to measure X-ray absorption fine-structure (XAFS) spectra of dilute samples in the hard X-ray region. On the other hand, FY detection is not a mainstream technique in the soft X-ray region because fluorescence decay is a minor channel for low-Z elements (Krause, 1979). For example, the fluorescence decay probability for an oxygen 1s core-hole is less than 1%, in which case electron yield measurement is a common technique for obtaining the XANES spectrum in the soft X-ray region.
Although the yield of fluorescence decay is low, FY detection has unique advantages over electron yield detection. First, et al., 1990; Krol et al., 1990; Stöhr, 1992). Second, the detection of FY is insensitive to sample charging, which makes it applicable for measuring the spectrum of insulating materials (Lipp et al., 2003). Third, fluorescence measurement is possible under non-UHV conditions, allowing investigation of the materials under in situ conditions (Kappen et al., 2001a, 2002; Yagi et al., 2004; Nakanishi et al., 2010). Fourth, FY detection is possible in a strong magnetic field, and it is applicable to measurements (Bateman et al., 2001). Leveraging such advantages of fluorescence detection, a wide variety of applications using FY measurement in the soft X-ray region are being explored.
has a much deeper escape depth than the electron. Therefore, simultaneous collection of both fluorescence and electron yield provides an opportunity to distinguish electronic properties between the surface and bulk of materials (TrögerIn addition to the above-mentioned advantages, the greatest characteristic of FY detection in ; Kappen et al., 2002; Carlson et al., 2006). This advantage allows us to measure low-concentration elements in chemical compounds. In the early stage of research, FY measurements were performed by total fluorescence detection using a non-energy-dispersive detector, e.g. a Lytle-type detector (Lytle et al., 1984), a micro-channel plate or a silicon PIN photodiode detector. The detection sensitivity of the total method is approximately 1% (Kappen et al., 2002). An alternative approach is partial fluorescence detection which is possible by using an energy-dispersive detector such as a (Fischer et al., 1989), gas microstrip detector (Bateman et al., 2001; Lipp et al., 2003) or semiconductor detector. Using a silicon drift detector (SDD), which is a semiconductor detector, is the most widely applied method of measurement. The principle of the SDD was first proposed by Gatti & Rehak (Gatti & Rehak, 1984; Guazzoni, 2010), and is now commercially available. The SDD is unique because it achieves a higher energy resolution and higher count rate at shorter shaping times compared with conventional semiconductor detectors, and it can be used near room temperature (Lechner et al., 1996; Lutz, 2006; Welter et al., 2009). The high count rate of the SDD can compensate for low in the soft X-ray region, and it can distinguish the fluorescence line of interest from the peak caused by and from neighbouring fluorescence lines. Selective detection can improve the detection sensitivity, and XANES spectra have been obtained for elements with concentrations lower than 100 p.p.m. (Kappen et al., 2002).
measurement is a higher signal-to-background ratio than the transmission method and the electron yield detection method (Stöhr, 1992In the present research, we have introduced a two-dimensional (2D) approach for the partial et al., 1996) and a time-of-flight analyzer (Berrah et al., 1998), and in UVU fluorescence spectroscopy (Ukai et al., 1995), and resonant inelastic X-ray scattering spectroscopy using a grating monochromator (Fuchs et al., 2009). In measurements the 2D approach can be achieved by using an energy-dispersive detector such as a SDD, since it can also produce a full (XRF) spectrum.
(PFY) measurement using a SDD in the soft X-ray region. The 2D measurement is a correlation plot between the and the spectrum obtained by a secondary spectrometer. This technique has been developed in combined with a hemispherical (HikosakaThe advantage of recording full XRF spectra in the fluorescence et al., 2001b; Mangold & Welter, 2001). In conventional procedures of PFY measurement the XRF information was lost because the PFY was collected by selecting a region of interest (ROI) prior to the XANES data collection. Only a signal corresponding to the ROI is recorded. This is problematic for PFY measurement of complicated samples in which overlaid peaks obscure the fluorescence (Kappen et al., 2001b; Mangold & Welter, 2001). This issue is more serious in the soft X-ray region where absorption edges of different elements are close to each other and where fluorescence lines overlap. In such cases it is indispensable to store the entire fluorescence spectrum at every single point of the scan, and to validate the obtained spectrum after the measurement. In current procedures the highly brilliant soft X-ray beam and high-count-rate performance of an SDD allow us to collect complete `X-ray maps' instead of ROI data, even for low-concentration samples of less than 0.1 wt%. In the present report we will demonstrate the capabilities of the 2D map approach for partial fluorescence XANES measurements using an SDD detector in the soft X-ray region. The 2D approach allows us to obtain the correct PFY spectrum by surveying full XRF spectra prior to extracting the PFY spectrum.
measurement is a more precise data treatment (Kappen2. Experimental
2.1. Beamline
Experiments were carried out at the c-branch of the soft X-ray et al., 2001). The light source was radiation from a figure-8 undulator, which can produce a linearly polarized photon beam (Tanaka et al., 1998). The figure-8 undulator provides both horizontally and vertically polarized soft X-ray beams by selection of an appropriate undulator gap, with the linear electric vector lying horizontally (0°) for integer-order-harmonic light and vertically (90°) for half-integer-order light. The photon beam was dispersed by a soft X-ray monochromator with varied-line-spacing plane gratings. Two spherical mirrors and three gratings allow the scanning of an energy range of 170–2800 eV (Tamenori et al., 2002). The spectra were measured by scanning the undulator gap as well as the monochromator scan to maintain the maximum intensity of the incident soft X-rays, and by scanning the width of the entrance and exit slits to maintain constant During the XANES measurement the intensity of the incoming photon beam (I0) was monitored by measuring a drain current on the surface of a post-focusing mirror.
beamline (BL27SU) at the SPring-8 facility. Details of the beamline have been described in a previous report (Ohashi2.2. SDD detector
The fluorescence signal was detected using a single-element SDD. The SDD used in the present investigation was purchased from OURSTEX Corporation (X Flash Detector, 1201 series). The active area of the photodetection element is 30 mm2. The entrance window mounted on the front of the detector is a MOXTEK AP3.3 window consisting of ultra-thin polymer film (300 nm thick, density 1.4 g cm−3) and is supported by a 38 µm-thick rigid silicon grid with 77% open area. The SDD module equipped with the AP3.3 window provides an X-ray transmission to the detector as low as the boron Kα X-ray energy (170 eV), i.e. the detector is applicable to XANES experiments at the boron K-edge. The photodetection element is cooled down to 253 K using a Peltier device to avoid temperature noise from the field-effect transistor of a preamplifier. A KETEK digital pulse processor board (DPP) was used as a signal-processing unit. The SDD output is processed by a preamplifier, followed by an analog shaping amplifier. The output signal was digitized by an ADC/MCA and transferred to the onboard memory. The spectrum was transferred to the controlling computer through a USB 2.0 interface. The maximum count rate achieved by the SDD combined with the DPP system is 1 × 105 counts s−1 at 1 µs of peaking time.
2.3. XANES set-up
A powder sample was fixed with conductive double-sided carbon tape onto an aluminium sample holder. A solid sample was directly mounted on the sample plate using a screw. The sample holder was fixed on a linear and rotatable manipulator and installed in a vacuum chamber. The pressure of the XANES chamber was 1 × 10−5 Pa. The spectrum was recorded simultaneously in both total electron yields (TEYs) by measuring a sample drain current and FY spectra using a SDD. The SDD was mounted perpendicularly to the incident photon beam axis. The monochromatic light was irradiated at an angle of about 80° relative to the sample normal to minimize the contamination of the elastic scattering.
3. Results and discussion
3.1. XANES of phosphorus in SS304
The XANES spectrum of phosphorus in stainless steel (SS) 304 was measured using the 2D map approach. Generally, in SS304 samples, C (<0.08%), Mn (<2.0%), Si (<1.0%), P (<0.045%) etc. are present as minor components, while Cr (18–20%), Ni (8–10.5%) and Fe are present as major components. Fig. 1 shows (a) the 2D spectrum, (b) the XRF spectrum taken at 2190 eV and (c) the PFY spectrum extracted from the 2D spectrum. The XRF spectrum can be fitted well to seven Gaussian peaks, as indicated by lines (red online) in Fig. 1(b). The four peaks observed in the 400–1000 eV range originate from the K-shell ionization of oxygen and the L23-shell ionization of the main elements, Cr, Fe and Ni. On the other hand, the fluorescence from Si and P K-shell ionization can be observed at approximately 1720 eV and 2000 eV, respectively. The interesting feature of these results is that the fluorescence counts of minor components are greatly enhanced in the XRF spectrum. For example, while the concentration of Fe is about 70 times larger than that of Si, the integrated fluorescence intensity of Si is approximately 50% of the intensity of Fe. There are three reasons for this phenomenon. First, the ionization depends on the The ionization reaches a maximum at an and decreases with the increase of excitation photon energy. When an XRF spectra at 2 keV was obtained, the incident photon energy was approximately 1300 eV higher than the Fe L23 and 300 eV above the Si K-edge, while the of Si (3075.8 cm2 g−1) at 2 keV was twice that of Fe (1665.8 cm2 g−1) (Bandyopadhyay & Segre, undated). Second, the fluorescence decay probability following Si K-shell ionization (0.05) is about ten times larger than that of Fe L23-shell ionization (0.0063) (Krause, 1979). Third, the transmission of the AP3.3 window for a 2000 eV photon (75%) is 1.5 times larger than that of a 700 eV photon (50%). Consequently, the fluorescence yields for minor elements are enhanced in the XRF measurement at 2 keV.
The FY from the main elements and Si make horizontal stripes in Fig. 1(a), because these elements have no absorption edges in this energy region. On the other hand, only the FY of phosphorous changes drastically. Fig. 1(c) shows the PFY spectrum extracted from integration of the 1940–2020 eV range. The obtained PFY spectrum closely resembles the XANES spectra of iron phosphate (Hesterberg et al., 1999). While the XANES spectrum is clearly observed in the PFY mode, it cannot be found in the TEY spectrum (data not shown). In the TEY mode the imperceptible signals from the minor components are buried in the higher background signals originating from the excitation of major components, because Auger decay is the dominant decay channel following the L-shell ionization of 3d transition metals. The present measurement indicates that the selective fluorescence detection improves sensitivity to the imperceptible signal from phosphorus.
The patterns caused by Kα (2013.7 eV) is about 30 eV lower than the binding energy of the phosphorus 1s electron (2045.5 eV). Therefore, the diagonal line does not directly intersect with the phosphorus Kα line in the XANES region. However, contributes to the baseline of the XANES spectrum. Fig. 2 compares the PFY spectra extracted from varying integration regions. This procedure corresponds to the PFY measurement with different ROI window selections. In principle, the baseline of the PFY spectrum should be flat in the pre-edge region, because the photon energy is insufficient to excite or ionize the P 1s electron and therefore cannot eliminate the Kα fluorescence from phosphorus. However, Fig. 2 shows that the baseline shape depends on the integrated area owing to the contamination of The contamination is especially apparent when the higher fluorescence energy region is included in the PFY spectrum extraction as exhibited by the effect of the baseline in the pre-edge region and the tilt of the PFY baseline. This phenomenon could be a significant issue for subtraction of the baseline in the data analysis procedures of the measurement. Recording of the full XRF is necessary for correct data treatment.
appear as diagonal stripes in the 2D map. The energy of the phosphorus3.2. XANES of concentrated manganese: MnO crystal
Fig. 3 shows XANES spectra of a MnO crystal measured by (a) the total (TFY) method and (b) the TEY method in the Mn L23-edge region. The TEY spectrum presents two groups of multiplets split by the spin–orbit interaction of the Mn 2p inner-shell level. Here, it should be noted that the obtained TEY spectrum agrees well with the earlier reports on the oxidized MnO crystal (Gillbert et al., 2003). It is well known that the TEY spectrum of MnO is sensitive to the surface condition (Gillbert et al., 2003; Laffont & Gibot, 2010). In the present study we used a MnO crystal without surface cleaning such as cleaving and Ar ion sputtering, since the cleanness of the sample surface is not the essence of the present research. The surface of our MnO crystal was in a stable oxidized state, and can be confirmed from comparison with earlier reports.
On the other hand, the TFY spectra indicate different spectral profiles where the decrease in yield is observed at the L3-edge and a weak peak is observed at the L2-edge. The suppression of TFY at the was observed in previous XANES investigations (Tröger et al., 1990, 1992; Emura et al., 1993). This phenomenon can be interpreted based on the change of the total photoabsorption coefficient and the change of fluorescence decay probabilities. Since the of the L23-edges of Mn (638.7 and 649.9 eV) is close to that of the O K-edge (543.1 eV), photoabsorption by both elements must be considered. The fluorescence intensity of the O Kα (IO) is determined for a thick sample by the equation (Jaklevic et al., 1977; Tröger et al., 1990)
where μtot(E) is the total photoabsorption coefficient of the sample at photon energy E, μO(E) is the of the oxygen atom at photon energy E, μtot(Efl) is the photoabsorption coefficient at the fluorescence energy, and ∊ is the fluorescence decay probability of oxygen. Equation (1) suggests that the relative increase of μtot(E) leads to the decrease of the FY of oxygen. This can be understood as additional photoabsorption of manganese at the Mn L23-edge leading to a reduction in the total number of photoexcited O atoms within the sample. On the other hand, even if the number of photoexcited O atoms is decreased, the TFY should be enhanced at the Mn L23-edge if the fluorescence decay probability of manganese is comparable with that of oxygen. However, the fluorescence decay probability following the Mn L23-shell ionization (0.0063) is about ten times smaller than that of the O K-shell ionization (0.05) (Krause, 1979). Therefore, the TFY spectrum indicates a dip profile at the Mn L23-shell edges.
The above-mentioned interpretation can be confirmed by the 2D fluorescence measurement. Fig. 4(a) shows the 2D spectrum of MnO in the Mn L23-edge region. The XRF spectrum (Fig. 4b) fits well to two Gaussian peaks, and the dependence of the fluorescence signals from each element is well distinguished in the 2D map. Fig. 4(c) shows a PFY spectrum of oxygen (400–520 eV) and manganese (630–750 eV) extracted from the integration of fluorescence counts in the 2D spectrum. The decrease of the O Kα FY at the Mn L23-edge is evidently confirmed in the PFY of oxygen. The PFY(O) indicates the inverted spectral profile to the TEY and PFY(Mn) spectrum. In contrast, the PFY of manganese indicates two groups of multiplets split by the spin–orbit interaction of the Mn 2p level. Compared with the TEY spectrum, the yield of the L3-peak in PFY(Mn) is suppressed. The suppression could originate from self-absorption owing to the concentrated manganese in the sample. Consequently, the TFY shows strong suppression at the L3-edge, while a small peak appears at the L2-edge.
3.3. XANES of diluted manganese: manganese doped in nano-diamond
To verify the validity of the discussion in §3.2 we have measured the 2D spectrum of diluted manganese in the L23-edge region. Fig. 5(a) shows the 2D spectrum of Mn (1 × 1016 cm−2) doped in nano-diamond taken in the Mn L23-edge region. The XRF spectrum (Fig. 5b) fits well to three Gaussian peaks. The peak at about 280 eV can be assigned to the Kα of carbon. The peak at 526.5 eV corresponds to the Kα of oxygen because a lot of water molecules are absorbed by the nano-diamond. The peak at 648.1 eV corresponds to the L-line of manganese.
In Fig. 5(a) the two horizontal stripes observed at the fluorescence energies of 283.7 eV and 525.1 eV correspond to the Kα of carbon and the Kα of oxygen, respectively. Further, additional contour islands are noticeable on the horizontal line at 646.5 eV, corresponding to the resonant excitation of manganese. Fig. 5(c) shows the PFY spectrum of manganese extracted from an integration of fluorescence counts in the range 600–750 eV. The observed PFY spectrum is consistent with the XANES spectrum of Mn(II) (de Groot et al., 1990). In contrast to the XANES measurement of the MnO crystal, the suppression of the Kα of oxygen and carbon is limited, because the concentration of manganese in the sample is low and the change in μtot(E) at the Mn L23-edge is small. Additionally, the seems to be negligible owing to the low concentration of the investigated element.
The present results demonstrate the advantage of the 2D approach to PFY measurement where the FY of several elements is simultaneously changed. In conventional PFY measurement, users need to set the energy window prior to the incident photon energy scanning. Conversely, the 2D-map technique makes it possible to extract the partial
spectra after the incident photon energy scanning. This technique allows us to fully survey XRF spectra after the data collection, and to record the change in FY of all elements in the sample.4. Summary
We have demonstrated the capabilities of a 2D approach to partial L23-shell ionization region from Mn (1 × 1016 cm−2) doped in nano-diamond. In the case of the concentrated sample the PFY of manganese indicates resonance peaks, whereas a strong suppression can be seen in the PFY of O atoms in the Mn L23-edge region. The different behaviour of both elements can be interpreted based on the change of the total photoabsorption coefficient and the change of fluorescence decay probabilities. The 2D approach gives unambiguous FY-XANES information in the soft X-ray region, where absorption edges of different elements are close to each other, or where fluorescence lines overlap.
XANES measurement using a silicon drift detector. The noteworthy advantage of 2D data collection is to allow a full survey of XRF spectra, and determine the extracting area after the XANES measurement. The availability was demonstrated using three XANES measurements. First, we obtained the PFY spectrum for a low-concentration element [P (<0.045%)] in an XANES measurement of SS304. By using a 2D technique we can verify the area where the PFY was extracted. Further, we performed the XANES measurement of manganese in both diluted and concentrated samples. In the case of the diluted sample, we extracted the PFY spectrum of manganese in theAcknowledgements
The authors would like to thank Mr M. Higashiyama for providing some of the key equipment used in this study. This study was conducted with the approval of the SPring-8 Proposal Review Committee (proposals 2009A2014, 2009B1999 and 2010A1104).
References
Bandyopadhyay, P. & Segre, C. U. (undated). Mucal on the web, https://www.csrri.iit.edu/mucal.html. Google Scholar
Bateman, J. E., Derbyshire, G. E., Dudzik, E., van der Laan, G., Lipp, J. D., Smith, A. D. & Stephenson, R. (2001). J. Synchrotron Rad. 8, 1157–1161. Web of Science CrossRef CAS IUCr Journals Google Scholar
Berrah, N., Langer, B., Wills, A., Kukk, E. & Bozek, J. D. (1998). Synchrotron Radiat. News, 11, 21–24. CrossRef Google Scholar
Carlson, S., Clausén, M., Gridneva, L., Sommarin, B. & Svensson, C. (2006). J. Synchrotron Rad. 13, 359–364. Web of Science CrossRef CAS IUCr Journals Google Scholar
De Groot, F. M. F., Fuggle, J. C., Thole, B. T. & Sawatzky, G. A. (1990). Phys. Rev. B, 42, 5459–5468. CrossRef CAS Google Scholar
Emura, S., Moriga, T., Takizawa, J., Nomura, M., Bauchspiess, K. R., Murata, T., Harada, K. & Maeda, H. (1993). Phys. Rev. B, 47, 6918–6930. CrossRef Web of Science Google Scholar
Fischer, D. A., Colbert, J. & Gland, G. L. (1989). Rev. Sci. Instrum. 60, 1596–1602. CrossRef CAS Web of Science Google Scholar
Fuchs, O., Weinhardt, L., Blum, M., Weigand, M., Umbach, E., Bär, M., Heske, C., Denlinger, J., Chuang, Y. D., McKinney, W., Hussain, Z., Gullikson, E., Jones, M., Batson, P., Nelles, B. & Follath, R. (2009). Rev. Sci. Instrum. 80, 063103. Web of Science CrossRef PubMed Google Scholar
Gatti, E. & Rehak, P. (1984). Nucl. Instrum. Methods Phys. Res. 225, 608–614. CrossRef CAS Web of Science Google Scholar
Gillbert, B., Frazer, B. H., Belz, A., Conrad, P. G., Nealson, K. H., Haskel, D., Lang, J. C., Srajer, G. & De Stasio, G. (2003). J. Phys. Chem. A, 107, 2839–2847. Google Scholar
Guazzoni, C. (2010). Nucl. Instrum. Methods Phys. Res. A, 624, 247–254. Web of Science CrossRef CAS Google Scholar
Hesterberg, D., Zhou, W., Hutchison, K. J., Beauchemin, S. & Sayers, D. E. (1999). J. Synchrotron Rad. 6, 636–638. Web of Science CrossRef CAS IUCr Journals Google Scholar
Hikosaka, Y., Hattori, H., Hikida, T. & Mitsuke, K. (1996). J. Chem. Phys. 105, 6367–6374. CrossRef CAS Web of Science Google Scholar
Jaklevic, J., Kirby, J. A., Klein, M. P., Robertson, A. S., Brown, G. S. & Eisenberger, P. (1977). Solid State Commun. 23, 679–682. CrossRef CAS Web of Science Google Scholar
Kappen, P., Grunwaldt, J.-D., Clausen, B. S. & Materlik, G. (2001b). HASYLAB & DESY Annual Reports 2001, p. 5382. HASYLAB/DESY, Hamburg, Germany. Google Scholar
Kappen, P., Grunwaldt, J.-D., Hammershoi, B. S., Tröger, L. & Clausen, B. S. (2001a). J. Catal. 198, 56–65. Web of Science CrossRef CAS Google Scholar
Kappen, P., Tröger, L., Materlik, G., Reckleben, C., Hansen, K., Grunwaldt, J.-D. & Clausen, B. S. (2002). J. Synchrotron Rad. 9, 246–253. Web of Science CrossRef CAS IUCr Journals Google Scholar
Krause, M. O. (1979). J. Phys. Chem. Ref. Data, 8, 307–327. CrossRef CAS Google Scholar
Krol, A., Lin, C. S., Ming, Z. H., Sher, C. J., Kao, Y. H., Chen, C. T., Sette, F., Ma, Y., Smith, G. C., Zhu, Y. Z. & Shaw, D. T. (1990). Phys. Rev. B, 42, 2635–2638. CrossRef CAS Web of Science Google Scholar
Laffont, L. & Gibot, P. (2010). Mater. Charact. 61, 1268–1273. Web of Science CrossRef CAS Google Scholar
Lechner, P., Eckbauer, S., Hartmann, R., Krisch, S., Hauff, D., Richter, R., Soltau, H., Strüder, L., Fiorini, C., Gatti, El, Longoni, A. & Sampietro, M. (1996). Nucl. Instrum. Methods Phys. Res. A, 377, 346–351. CrossRef CAS Google Scholar
Lipp, J. D., Bateman, J. E., Derbyshire, G. E., Kirkman, I. W., van der Laan, G., Stephenson, R. & Teodorescu, C. M. (2003). J. Synchrotron Rad. 10, 455–460. Web of Science CrossRef CAS IUCr Journals Google Scholar
Lutz, G. (2006). J. Synchrotron Rad. 13, 99–109. Web of Science CrossRef CAS IUCr Journals Google Scholar
Lytle, F. W., Greegor, R. B., Sandstrom, D. R., Marques, E. C., Wong, J., Spiro, C. L., Huffman, G. P. & Huggins, F. E. (1984). Nucl. Instrum. Methods Phys. Res. 226, 542–548. CrossRef CAS Google Scholar
Mangold, S. & Welter, E. (2001). HASYLAB and DESY Annual Reports 2001, p. 5506. HASYLAB/DESY, Hamburg, Germany. Google Scholar
Nakanishi, K., Yagi, S. & Ohta, T. (2010). AIP Conf. Proc. 1234, 931–934. CrossRef CAS Google Scholar
Ohashi, H., Ishiguro, E., Tamenori, Y., Kishimoto, H., Tanaka, M., Irie, M., Tanaka, T. & Ishikawa, T. (2001). Nucl. Instrum. Methods Phys. Res. A, 467, 529–532. Web of Science CrossRef Google Scholar
Stöhr, J. (1992). NEXAFS Spectroscopy. Berlin: Springer. Google Scholar
Tamenori, Y., Ohashi, H., Ishiguro, E. & Ishikawa, T. (2002). Rev. Sci. Instrum. 73, 1588–1590. Web of Science CrossRef CAS Google Scholar
Tanaka, T., Maréchal, X.-M., Hara, T., Tanabe, T. & Kitamura, H. (1998). J. Synchrotron Rad. 5, 459–461. Web of Science CrossRef CAS IUCr Journals Google Scholar
Tröger, L., Arvanitis, D., Baberschke, K., Michaelis, H., Grimm, U. & Zschech, E. (1992). Phys. Rev. B, 46, 3283–3289. CrossRef Web of Science Google Scholar
Tröger, L., Arvanitis, D., Rabus, H., Wenzel, L. & Baberschke, K. (1990). Phys. Rev. B, 41, 7297–7300. Google Scholar
Ukai, M., Machida, S., Kameta, K., Kitajima, M., Kouchi, N., Hatano, Y. & Ito, K. (1995). Phys. Rev. Lett. 74, 239–242. CrossRef PubMed CAS Web of Science Google Scholar
Welter, E., Hansen, K., Reckleben, C. & Diehl, I. (2009). J. Synchrotron Rad. 16, 293–298. Web of Science CrossRef CAS IUCr Journals Google Scholar
Yagi, S., Matsumura, Y., Soda, K., Hashimoto, E. & Taniguchi, M. (2004). Surf. Interface Anal. 36, 1064–1066. Web of Science CrossRef CAS Google Scholar
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