- 1. Introduction
- 2. Ray-tracing simulations of the spectrometer
- 3. Energy- versus wavelength-resolved X-ray spectra
- 4. Optical characterization of the conical analyzer crystal
- 5. X-ray mapping of the surface of the conical crystal
- 6. Alignment robustness
- 7. Conical versus cylindrical crystal analyzers
- 8. Conclusions
- References
- 1. Introduction
- 2. Ray-tracing simulations of the spectrometer
- 3. Energy- versus wavelength-resolved X-ray spectra
- 4. Optical characterization of the conical analyzer crystal
- 5. X-ray mapping of the surface of the conical crystal
- 6. Alignment robustness
- 7. Conical versus cylindrical crystal analyzers
- 8. Conclusions
- References
research papers
Multicolor single-analyzer high-energy-resolution
spectrometer for simultaneous examination of different elementsaWigner Research Centre for Physics, Konkoly Thege M. 29-33, 1121 Budapest, Hungary
*Correspondence e-mail: nemeth.z@wigner.hu
The present work demonstrates the performance of a von Hámos high-energy-resolution X-ray spectrometer based on a non-conventional conical Si single-crystal analyzer. The analyzer is tested with different primary and secondary X-ray sources as well as a hard X-ray sensitive CCD camera. The spectrometer setup is also characterized with ray-tracing simulations. Both experimental and simulated results affirm that the conical spectrometer can efficiently detect and resolve the two pairs of two elements (Ni and Cu) Kα peaks simultaneously, requiring a less than 2 cm-wide array on a single position-sensitive detector. The possible applications of this simple yet broad-energy-spectrum crystal spectrometer range from quickly adapting it as another probe for complex experiments at synchrotron beamlines to analyzing X-ray emission from plasma generated by ultrashort laser pulses at modern laser facilities.
Keywords: high-energy-resolution X-ray spectroscopies; von Hámos geometry; laser plasma; ray tracing; X-ray emission spectroscopy.
1. Introduction
The evolution of high-energy-resolution X-ray spectrometers is still in progress not only at large-scale facilities, including synchrotrons, X-ray free-electron lasers (XFELs) and high-power laser facilities (see examples in Tu et al., 2019; Khakhulin et al., 2020; Zymaková et al., 2021), but also in the laboratory, using X-ray tubes as sources (Németh et al., 2016; Holden et al., 2017; Malzer et al., 2018; Błachucki et al., 2019; Honkanen et al., 2019). The most common devices, widespread at dedicated synchrotron beamlines, XFEL instruments, and recently even in laboratory setups, are Rowland-circle spectrometers equipped with a spherically bent crystal analyzer (SBCA) or von Hámos spectrometers (Hámos, 1939) using cylindrically bent analyzer crystals. They can both provide very high resolution X-ray spectra, although their working principles are different. In the Rowland-circle spectrometer the SBCA selects a single wavelength at a given thus this device records intensity at a single energy at a time, and the spectrum is obtained by scanning the (while keeping the source, analyzer and detector on the Rowland circle) in the required range. The von Hámos spectrometer, on the other hand, is dispersive, and a position-sensitive detector can record an energy range limited often by the size of the detector, but large enough to cover the fine structure of an emission feature or an Despite their spread and success, these generalized spectrometer types do not cover all specific use cases, and alternative spectrometer designs with different analyzer geometries may emerge to be more advantageous. A frequent demand would be to simultaneously study the electronic structure of more than one element in a complex sample. Such a multicolor experiment is often not possible, as it requires two separate spectrometers including two separate analyzer crystals, often even two detectors (see, for example, Gul et al., 2015). Even if it could be installed, the different experimental geometries required by the two spectrometers might not be possible to arrange due to limitations posed by beamline space restrictions, peculiarities of the sample environment, unfortunate positions of vacuum chamber openings, small windows of a high-pressure cell that require the two analyzer to be practically at the same position, etc. Thus a single spectrometer capable of recording both signals would be clearly highly advantageous.
As a viable alternative to routine ) that a conical-shape analyzer crystal can be used in the von Hámos arrangement, which results in a shorter spectrum with a more advantageous geometry. With such a device, not only is the spread of the spectrum squeezed tighter but the focal line is also rotated from the original one, that is parallel to the axis, to a perpendicular one, which is often more compatible with experimental setups. A conical von Hámos spectrometer was built for recording soft X-ray spectra using a KAP crystal (Martinolli et al., 2004). Although the spectral resolution is somewhat lower and the alignment is more critical, it was successfully used in the soft X-ray range showing the satellite lines of the highly ionized aluminium (Martinolli et al., 2004). Recently, multicone spectrometers have been designed (Bitter et al., 2016) in order to improve the imaging properties and thus the spectral resolution with the applied X-ray streak camera.
setups, it was suggested by Hall (1984A typical use case for such a distinct spectrometer is the study of shock-ignition-generated laser plasma via the measurement of the relative intensities of the X-ray emission signal of doped transition metal atoms in nano-structured targets. Here streak cameras with temporal resolution but limited spatial extent are used. Shock ignition (Betti et al., 2007) is a promising way towards direct drive inertial fusion which separates target compression and ignition. Compression is achieved in a conventional way but with lower implosion velocity, using lasers with intensities of a few times 1014 W cm−2, which is followed by a high-intensity laser spike of about 1016 W cm−2 with some hundreds of picosecond duration launching a strong shock and igniting the fuel. In the case of shock ignition the hot electrons generated by the spike can be either beneficial (Shang et al., 2017) or detrimental, depending on whether they are generated in Raman or two-plasmon decay instabilities. Therefore it is essential to characterize the hot electron temperature. The generally used method is Emission of embedded radiators, i.e. microdots, contains Kα radiation as electrons are kicked out of the K-shell by the fast electrons. Clearly, simultaneous time-dependent measurements by using two types of emitters at different depths of the target enable these investigations. Most of the current applications use two different high-resolution spectrometers for such observations (Cristoforetti et al., 2017), but a single spectrometer which enables high-energy-resolution time-dependent observation of Ni and Cu Kα radiation simultaneously would be more beneficial.
The aim of the present work is to demonstrate a conical von Hámos spectrometer built to observe hard X-ray emission lines around 8 keV to follow the changes of both Ni and Cu Kα radiation simultaneously, and having the capability of time-dependent observation of Ni and/or Cu satellite lines that may appear when studying laser plasma with this spectrometer. Our choice for the analyzer crystal (and, correspondingly, the spectrometer geometry) was a bent Si(111) crystal (2d = 6.271 Å), manufactured by Saint Gobain (Saint-Gobain, 2021) by bending and gluing a 50 mm × 25 mm wafer to a conical surface made of aluminium, where the conical half angle of 14.78° was applied. The 50 mm dimension is in the dispersive direction and, orthogonal to this, the crystal is bent to a monotonously changing radius of curvature (from the conical axis) between its minimum of 95.68 mm and maximum of 108.44 mm at the edges, following the surface of a truncated cone. The spectrometer was designed to give an 800 mm source–detector distance (with the crystal in the middle, laterally 105 mm off from the source–detector center line). In this case the distance between the Ni and Cu Kα lines is 17 mm in the detector plane, i.e. they can be well resolved either by a CCD or by an X-ray streak camera.
2. Ray-tracing simulations of the spectrometer
In order to optimize the spectrometer setup, ray-tracing simulations can be beneficial. Fig. 1 shows the 3D visualization of the analyzer crystal and the detector surface of the intended spectrometer simulated by the XRayTracer software package (Klementiev & Chernikov, 2014). Although this software does not support conical-shape analyzers, we have used a model where two narrow (1 cm wide) cylindrical crystals with different bending radius (109.7 mm and 103.4 mm), according to the bending radius of the conical crystal at their position, mimic the conical surface. In the case of a conical von Hámos spectrometer, the and the corresponding position – where Ni and Cu Kα signals are reflected – are separated on the crystal surface. Thus, in the simulations two cylindrical crystals were positioned at the calculated reflection segments of the Ni and Cu Kα signals. This gives a good approximation of the actual conical analyzer crystal in the energy ranges of the Ni and Cu signals. The different bending radii at different X-ray energies are designed to make the focus of the signal on the detector perpendicular to the axis of revolution, as seen in Fig. 1. This is very beneficial at special environments like, for example, laser plasma chambers or sample vacuum chambers, which are often used at synchrotron beamlines.
Fig. 2 shows the expected signal shape on the 2D detector (ray-tracing simulations on the bottom) compared with the measured ones (top) for the two Cu Kα emission lines. The experimental setup includes the above-described conical Si(111) analyzer crystal and a position-sensitive 2D array hard X-ray CCD camera from Andor (Newton DY920, pixel size 26 µm × 26 µm). The primary X-ray source was an XOS XBeam X-ray tube with focusing optics, Rh anode and 50 W total power (the tube was set for 50 kV and 1 mA). The sample (secondary X-ray source) was the inner part of a 200 HUF coin (75% Cu and 25% Ni). The size and position of the ray-traced and experimental signals agree very well. When deducing the signals from the detector image, a good agreement is found between ray-tracing results and measurements for both the Ni and Cu emission peak pairs (Fig. 3).
3. Energy- versus wavelength-resolved X-ray spectra
(XRF) spectroscopy, where multiple emission X-ray peaks from different elements have to be recorded simultaneously, commercially available energy-resolving solid state detectors are used. For example, a silicon drift diode (SDD) provides sufficient energy resolution to quantitatively determine elemental ratios. However, both the energy resolution and the temporal resolution of these semiconductor detectors are limited, constraining their use in some cases, like characterizing laser-induced plasma, as described in theThe difference in energy resolution between an energy-resolving solid state detector and a wavelength-dispersive crystal spectrometer can be easily demonstrated with laboratory X-ray sources. An example is given in Fig. 4, where hard X-ray fluorescent signals from metallic Ni and Cu both in a 1:1 ratio powder mixture as well as in a metallic alloy (inner part of a 200 HUF coin, Cu:Ni ratio 3:1) recorded by an Amptek SDD X-123 unit (∼25 cm away from the sample and with 45° angle to the line of X-ray propagation) and a wavelength-dispersive von Hámos spectrometer (setup as described in Section 2) are compared. While the overall efficiency is superior when using a single SDD detector, the two orders of magnitude better energy resolution of the von Hámos spectrometer is also obvious.
4. Optical characterization of the conical analyzer crystal
To image the anticipated reflection area from the conical analyzer to the detector plate in the aforementioned von Hámos geometry, a diffuse green laser source was deployed in the source position. The Si crystal reflected light gives a good approximation of the total area covered by the conical crystal on the detector. Fig 5 demonstrates two cases: panel (a) shows the reflected optical image on the optimal detector position, while panel (b) does the same for a surface which is much closer to the source. The former results in a 2.6 mm-wide (dispersive direction) well focused line (focus height is about 0.2 mm). In contrast, if the detector plate is not in the optimal position, the focus is greatly distorted [in the case of Fig. 5(b), 1.7 mm high], while the width of the image is thinner.
5. X-ray mapping of the surface of the conical crystal
An important note on the specific conical shape analyzer crystal used in this work is that during the first test measurements unexpected peaks with varying intensity and position appeared near the Cu and Ni Kα peaks. A full scan of the crystal revealed the nature of this anomaly. For this purpose, the direct X-ray beam from another XOS XBeam microfocus tube (here with Cu anode) was used as source, pointing towards the analyzer. The analyzer crystal and the CCD detector were aligned in the aforementioned von Hámos geometry, but considering the focal point of the polycapillary optic being the origin to record the Cu Kα peaks of the tube anode. The spectrometer (the analyzer and the detector) was shifted along the dispersive direction of the analyzer (axis y in Fig. 1) to scan the crystal surface with the beam, thus using different segments of the crystal to reflect the Cu Kα radiation. The resulting intensity map is shown in Fig. 6. Each row in the map corresponds to the (in the non-dispersive direction) integrated signal of the CCD detector (that is, the resolved energy spectrum), while the vertical axis refers to the position of the X-ray beam center on the 50 mm-long conical crystal. The spectra are aligned to have the Kα signal global maxima at pixel 74 in the dispersive axis, compensating the shift of the signal on the detector surface due to the different bending radius at different positions on the conical analyzer.
Normally, one would expect only two intensity maxima (Cu Kα1 and Kα2) with intensity ratios of 2:1 in each row over the entire map, but additional signals deviating from both peaks and both at the bottom as well as at the top can be clearly identified. One exemplary row is plotted in Fig. 7 as the orange line, the extra lines appearing at about pixels 62 and 87. However, if the very edge of the crystal is masked out with lead (about 1 mm from both left and right sides), the extra reflections disappear completely, as shown in Fig. 7 by the blue line. Thus, the extra peaks arise due to a reflection of the diverging radiation from the edges of the analyzer crystal.
6. Alignment robustness
In the proposed example application of the conical-based von Hámos spectrometer, that is, measuring hot electrons generated in laser plasmas, the source position (the focal point of the laser) is considered to be well defined, but the positioning of the analyzer and, more probably, the detector can be restricted by spatial constrains (e.g. by the fixed dimensions of the vacuum chamber). While the alignment of the analyzer is usually critical in the von Hámos geometry, the positioning of the detector is considered to be more flexible. In order to test the robustness of the detector's position in the conical-analyzer-based spectrometer, the Kα spectrum of the Cu anode of an X-ray tube (XOS XBeam) was measured with the above-described conical analyzer and Andor CCD detector with optimized crystal alignment but shifting the detector around the optimal position by a few centimetres along the axis of revolution of the analyzer (axis y in Fig. 1).
A typical spectrum image in a non-optimal detector position is shown in Fig. 8(a). The Kα2 and Kα1 lines appear as thin and high signals around nominal 22.5 and 23 mm, well separated from each other. The focus (vertical extension) is rather wide, almost 1.5 mm, and the signal is structured vertically to dominating dots. The latter comes from the fact that the source is a polycapillary focused X-ray tube, which emits a non-homogeneous, dotted X-ray spot due to the small capillaries, thus the emission line is not a spatially homogeneous line, as well. While changing the detector position, the Kα peaks retain their shape in the dispersive direction, but the focus varies greatly. This is shown in Fig. 8(b), where the vertical line with the strongest intensity of all detector images [e.g. the orange line in Fig. 8(a)] is plotted as a function of nominal detector position. The focal height of the individual Kα1 lines are also plotted in Fig. 8(c). It is clearly seen that the optimal focus is retained for about 5 mm (around nominal 16 mm), but, even at 3 cm off, the focus is only 1 mm wider.
In contrast to the changes in the focal size, the spectral shape, that is, the energy resolution of the spectra, remains unperturbed by the mispositioning of the detector. This is illustrated in Fig. 9, where the Kα1 peak is plotted at four different detector positions. It is recognizable that the spectra are identical and the detector positioning does not affect the line shape.
7. Conical versus cylindrical crystal analyzers
While the advantages of the von Hámos spectrometer with the conical analyzer crystal over the energy-resolving solid state detectors are obvious, it is worth comparing this setup with the more widespread cylindrically bent analyzer-based von Hámos spectrometers. The latter uses a simpler, thus cheaper, crystal which focuses the dispersed radiation on a line along its axis of revolution, twice as long as the footprint of the diffracting surface of the analyzer crystal (Hámos, 1939; Hoszowska et al., 1996; Szlachetko et al., 2012). This results in a relatively narrow observable energy range as well as high sampling rate of the high-energy-resolved spectrum. In contrast, the conical analyzer reflects a spectrum with larger energy range and lower sampling. To test these effects, two spectrometer setups are compared here. The conical-analyzer-based one is very similar to what was used in the preceding sections, the only difference being the detector, which was a Dectris Mythen2 1D strip detector with 50 µm-wide strips here. The cylindrical spectrometer uses a segmented Si(531) crystal (100 × 50 mm total area with 100 pieces of 1 mm-wide, 50 mm-long strips) with 250 mm bending radius, the geometry corresponds to the mean Bragg angles of either the Cu or the Ni Kα peaks. The detector is the same Mythen2 strip detector, as used with the conical setup. Fig. 10 gives a comparison of the observed spectra from a Cu foil secondary source (excited by an XOS XBeam X-ray tube with Rh anode and polycapillary optics) for the two spectrometers, in good agreement with the above-described considerations. It is worth mentioning that the Si(531) crystal has a slightly better energy resolution for the measured Cu signal due to the different Bragg angles applied. The aim of this comparison is to contrast the spectra of the present geometry-restrained conical spectrometer with an almost optimal setup based on the conventional cylindrical von Hámos spectrometer.
As foreseen, the conical-analyzer-based setup can record both Ni and Cu Kα peaks for both elements investigated. While the data from the conical-based setup is sufficient to analyze peak intensity ratios, both the lower sampling as well as the setup's high sensitivity to precise alignment makes it less favorable for line-shape-analysis-based evaluation, e.g. for measuring electronic or spin structure differences in different chemical environments. This is illustrated in Fig. 11, where the Kα spectra of metallic and ionic (divalent) Ni atoms recorded with conical- and cylindrical-analyzer-based spectrometers are shown. While both data sets show pronounced differences between Ni0 and Ni2+, the lines registered by the conical setup are much broader and the different broadening due to small misalignment during sample changing hinders the signal-shape analysis significantly.
while the cylindrical based one can measure only one element with a given setting. In terms of efficiency, both the cylindrical as well as the conical-analyzer-based spectrometers resulted in very similar count rates integrated for the two8. Conclusions
The applicability of a conically bent Si crystal analyzer in a von Hámos type dispersive spectrometer to record Ni and Cu Kα signals simultaneously is presented. The conical-analyzer-based spectrometer works with good efficiency and adequate energy resolution and is suggested to be well applicable to, for example, synchrotron beamlines as an alternative option to the existing single-element spectrometers or in laser-plasma experiments, especially for those intending to measure the hot electron temperature, related to shock ignition inertial confinement fusion.
Funding information
This work was financially supported by the National Research, Development and Innovation Fund (NKFIH) under grants FK 124460 and SNN 135636. JEG thanks the Stipendium Hungaricum for supporting her PhD work. This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 — EUROfusion). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.
References
Betti, R., Zhou, C. D., Anderson, K. S., Perkins, L. J., Theobald, W. & Solodov, A. A. (2007). Phys. Rev. Lett. 98, 155001. CrossRef PubMed Google Scholar
Bitter, M., Hill, K. W., Gao, L., Efthimion, P. C., Delgado-Apariccio, L., Lazerson, S. & Pablant, N. (2016). Rev. Sci. Instrum. 87, 11E333. CrossRef PubMed Google Scholar
Błachucki, W., Czapla-Masztafiak, J., Sá, J. & Szlachetko, J. (2019). J. Anal. At. Spectrom. 34, 1409–1415. Google Scholar
Cristoforetti, G., Colaïtis, A., Antonelli, L., Atzeni, S., Baffigi, F., Batani, D., Barbato, F., Boutoux, G., Dudzak, R., Koester, P., Krousky, E., Labate, L., Nicolaï, P., Renner, O., Skoric, M., Tikhonchuk, V. & Gizzi, L. A. (2017). EPL (Europhysics Lett), 117, 35001. Google Scholar
Gul, S., Ng, J. W. D., Alonso-Mori, R., Kern, J., Sokaras, D., Anzenberg, E., Lassalle-Kaiser, B., Gorlin, Y., Weng, T.-C., Zwart, P. H., Zhang, J. Z., Bergmann, U., Yachandra, V. K., Jaramillo, T. F. & Yano, J. (2015). Phys. Chem. Chem. Phys. 17, 8901–8912. Web of Science CrossRef CAS PubMed Google Scholar
Hall, T. A. (1984). J. Phys. E: Sci. Instrum. 17, 110–112. Google Scholar
Hámos, L. von (1939). Z. Kristallogr. 101, 17–29. Google Scholar
Holden, W. M., Hoidn, O. R., Ditter, A. S., Seidler, G. T., Kas, J., Stein, J. L., Cossairt, B. M., Kozimor, S. A., Guo, J., Ye, Y., Marcus, M. A. & Fakra, S. (2017). Rev. Sci. Instrum. 88, 073904. Web of Science CrossRef PubMed Google Scholar
Honkanen, A.-P., Ollikkala, S., Ahopelto, T., Kallio, A.-J., Blomberg, M. & Huotari, S. (2019). Rev. Sci. Instrum. 90, 033107. Web of Science CrossRef PubMed Google Scholar
Hoszowska, J., Dousse, J.-C., Kern, J. & Rhême, C. (1996). Nucl. Instrum. Methods Phys. Res. A, 376, 129–138. CrossRef CAS Web of Science Google Scholar
Khakhulin, D., Otte, F., Biednov, M., Bömer, C., Choi, T.-K., Diez, M., Galler, A., Jiang, Y., Kubicek, K., Lima, F. A., Rodriguez-Fernandez, A., Zalden, P., Gawelda, W. & Bressler, C. (2020). Appl. Sci. 10, 995. Web of Science CrossRef Google Scholar
Klementiev, K. & Chernikov, R. (2014). Proc. SPIE, 9209, 92090A. Google Scholar
Malzer, W., Grötzsch, D., Gnewkow, R., Schlesiger, C., Kowalewski, F., Van Kuiken, B., DeBeer, S. & Kanngießer, B. (2018). Rev. Sci. Instrum. 89, 113111. Web of Science CrossRef PubMed Google Scholar
Martinolli, E., Koenig, M., Boudenne, J. M., Perelli, E., Batani, D. & Hall, T. A. (2004). Rev. Sci. Instrum. 75, 2024–2028. CrossRef CAS Google Scholar
Németh, Z., Szlachetko, J., Bajnóczi, É. G. & Vankó, G. (2016). Rev. Sci. Instrum. 87, 103105. Web of Science PubMed Google Scholar
Saint-Gobain, (2021). Saint-Gobain Crystals – Innovative Materials and Applications Solutions, https://www.crystals.saint-gobain.com/. Google Scholar
Shang, W., Betti, R., Hu, S., Woo, K., Hao, L., Ren, C., Christopherson, A., Bose, A. & Theobald, W. (2017). Phys. Rev. Lett. 119, 195001. CrossRef PubMed Google Scholar
Szlachetko, J., Nachtegaal, M., de Boni, E., Willimann, M., Safonova, O., Sa, J., Smolentsev, G., Szlachetko, M., van Bokhoven, J. A., Dousse, J.-C., Hoszowska, J., Kayser, Y., Jagodzinski, P., Bergamaschi, A., Schmitt, B., David, C. & Lücke, A. (2012). Rev. Sci. Instrum. 83, 103105. Web of Science CrossRef PubMed Google Scholar
Tu, M.-F., Doumy, G., Al Haddad, A., March, A. M., Southworth, S. H., Assoufid, L., Kumagai, Y., Walko, D. A., DiChiara, A. D., Liu, Z., Shi, B., Young, L. & Bostedt, C. (2019). J. Synchrotron Rad. 26, 1956–1966. Web of Science CrossRef CAS IUCr Journals Google Scholar
Zymaková, A., Albrecht, M., Antipenkov, R., Špaček, A., Karatodorov, S., Hort, O., Andreasson, J. & Uhlig, J. (2021). J. Synchrotron Rad. 28, 1778–1785. CrossRef IUCr Journals Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.