research papers
Demonstration of a picosecond Bragg switch for hard X-rays in a synchrotron-based pump–probe experiment
aEuropean Sychrotron Radiation Facility, 71 Avenue des Martyrs, 38000 Grenoble, France, bTailored X-ray Products gGmbH, Berlin, Germany, cInstitut für Nanostruktur- und Festkörperphysik, Universität Hamburg, Luruper Chaussee 149, Hamburg 20355, Germany, and dLeibniz-Institut für Kristallzüchtung, Max-Born-Strasse 2, 12489 Berlin, Germany
*Correspondence e-mail: pgaal@physnet.uni-hamburg.de
A benchmark experiment is reported that demonstrates the shortening of hard X-ray pulses in a synchrotron-based optical pump–X-ray probe measurement. The pulse-shortening device is a photoacoustic Bragg switch that reduces the temporal resolution of an incident X-ray pulse to approximately 7.5 ps. The Bragg switch is employed to monitor propagating sound waves in nanometer thin epitaxial films. From the experimental data, the 9 photons s−1 in high-repetition-rate synchrotron experiments.
diffraction efficiency and switching contrast of the device can be inferred. A detailed efficiency analysis shows that the switch can deliver up to 10Keywords: ultrafast X-ray diffraction; photoacoustics; synchrotrons; pump–probe experiments; active X-ray optics.
1. Introduction
Currently, users in the synchrotron community with an interest in X-ray pulses of a sub-100 ps duration face a changing landscape of facilities. Conditions for time-resolved experiments have been improved significantly by the advent of X-ray free-electron lasers (XFELs), which provide ultrashort hard X-ray pulses of unprecedented Nature Photonics editorial (2017), vol. 11, p. 609]. Alternatives for hard X-ray pulses of a few picoseconds or femtoseconds are the femtoslicing beamlines at the ALS (Schoenlein et al., 2000) and SLS (Ingold et al., 2007; Beaud et al., 2007), table-top plasma sources (Zamponi et al., 2009; Schick et al., 2012) and the new FemtoMax facility at MAX IV (Enquist et al., 2018). X-ray pulses with a duration of a few picoseconds are generated in third-generation storage rings using a low-charge-filling mode, the so-called low-α mode (Jankowiak & Wüstefeld, 2013). This mode reduces the total due to the low filling charge and is therefore only offered a few weeks per year. Currently, an upgrade project is planned for the BESSY II synchrotron (Helmholtz-Zentrum Berlin, 2015) which will provide a permanent improved low-α mode after the installation of additional RF cavities in the storage ring (Di Mitri, 2018).
[In parallel with the commissioning of XFELs and alternative short-pulse sources, many existing synchrotrons are being updated to fourth-generation low-emittance storage rings (Schroer et al., 2018). While low emittance provides better focusing properties and higher beam coherence, the temporal structure, i.e. the and pulse repetition rate, is significantly less favourable for time-resolved experiments. Opportunities for time-resolved experiments at new diffraction-limited synchrotron radiation facilities are discussed intensively within the community.
In this article we present a new photoacoustic Bragg switch that allows the shortening of hard X-ray pulses emitted from synchrotron storage rings, down to a few picoseconds. The idea of switching a synchrotron X-ray pulse with a controlled lattice deformation is almost 50 years old (Allam, 1970). Since then, several attempts have been made that relied on piezoelectric excitation (Grigoriev et al., 2006; Zolotoyabko & Quintana, 2004), the generation of optical (Bucksbaum & Merlin, 1999; Sheppard et al., 2005) and acoustic phonons (Gaal et al., 2014; Sander et al., 2016) or picosecond thermal excitations (Navirian et al., 2011). Our device, which we call the PicoSwitch, has been tested in a synchrotron-based optical pump–X-ray probe experiment to measure the propagation of sound waves in epitaxial nanometer thin films. We discuss important quality parameters, e.g. the switching contrast and the angle- and time-dependent diffraction efficiency to determine the absolute and photon efficiency of the shortened pulse. Based on our experimental results, we show that the switch can be operated at repetition rates of up to 1 MHz and delivers pulses of 5–10 ps duration. The device accepts a limited relative bandwidth of up to ΔE/E0 = 0.2%. On the ID09 beamline at the European Synchrotron (ESRF), where our benchmark experiment was performed, the PicoSwitch can deliver a total of up to 109 photons s−1, which is the typical intensity from a bending-magnet beamline at the ESRF.
2. Experimental
In the following, we give a brief introduction to the working principle of the PicoSwitch. A more comprehensive description can be found elsewhere (Sander et al., 2016).
The layout of the pulse-shortening benchmark experiment is shown in Fig. 1(a). Unlike conventional pump–probe experiments, we employ two optical pump beams from the same laser source, one to trigger the PicoSwitch and the other to excite the sample. The time delay of the first excitation is selected such that the PicoSwitch diffracts incident photons while the maximum intensity of the long synchrotron X-ray pulse is present. Thus, only a temporal slice of the maximum intensity is diffracted from the PicoSwitch, while other parts of the X-ray pulse are suppressed. The shortened X-ray pulse impinges on the sample and is employed to probe dynamics induced by the second optical pump pulse. Since both the PicoSwitch and the sample are excited by optical pulses that stem from the same laser source, the time delay between the optical pump and the shortened X-ray probe pulse is completely jitter free. The relative pump–probe delay between the optical excitation of the sample and the shortened X-ray pulse is controlled by a motorized delay stage to record the transient sample dynamics up to a pump–probe delay of 2 ns.
The PicoSwitch structure is shown in the top part of Fig. 1(b) and consists of two thin films grown by pulsed laser deposition (PLD) on a dielectric substrate (Sellmann et al., 2014). The top layer is composed of a transparent dielectric. The bottom layer is an opaque metal that acts as a thermoelastic transducer upon optical excitation. We underline that several material combinations may be used to build a PicoSwitch device. Here, we use a combination of LaAlO3 (LAO, 85 nm, transparent) and La0.66Sr0.33MnO3 (LSMO, 57 nm, metallic) grown on an NdGaO3 (NGO) substrate. Sound waves generated upon absorption of an optical pump pulse are shown in the coloured plot in Fig. 1(b) as expansive (red) and compressive (blue) strain. The strain pulses are launched from the interface of the transducer to the adjacent top layer and the substrate, respectively.
We calculate the impact of laser-generated strain waves on the angular diffraction efficiency of the PicoSwitch. The results are shown in Fig. 1(c) for pump–probe delays of 0, 5 and 15 ps (Schick et al., 2014). The transient strain propagating through the PicoSwitch shifts the diffraction efficiency of the top LAO layer to larger diffraction angles and back to the initial position within 15 ps. The angular region is marked in grey in Fig. 1(c). Here, the PicoSwitch acts as a switchable mirror that is turned on and off by an acoustic pulse on a picosecond timescale.
An important quality parameter of the PicoSwitch is the switching contrast, which describes the suppression of incident X-ray photons during the off-state of the switch. The diffraction efficiency is at a low level η0 before the arrival of the optical pump pulse. Upon laser excitation, the diffraction efficiency mounts to a high level ηon for a switching time ΔT, which is determined by the propagation of strain waves in the structure. After the coherent strain waves have propagated away from the thin films into the substrate, the diffraction efficiency falls back to its initial value η∞ ≃ η0. We define the switching contrast csw with the following expression (Gaal et al., 2012),
csw basically has the same value before and after the switching is turned on and off This is a significant improvement compared to earlier designs of the PicoSwitch, where the final contrast csw,∞ was strongly reduced by laser heating of the structure (Gaal et al., 2014). Whether introducing the PicoSwitch results in high temporal resolution or not depends on the ratio of the pulse areas of the original and shortened pulses. Therefore, we define the total contrast ctotal as the product of the switching contrast and the area loss factor, i.e. the ratio of the normalized pulse area of the original and shortened pulses,
where ALF is the area loss factor,
and Isw(t), Isw,m, and denote the time-dependent and maximum intensities of the shortened and original X-ray pulses, respectively. While can be easily measured with the PicoSwitch (Gaal et al., 2012), Isw is deduced from model calculations as shown below.
The pulse-shortening capability is shown in Fig. 1(d), which shows a step-like decrease in the diffraction efficiency upon optical excitation. The sample and the physical origin of the sudden intensity change are discussed below. For now, we highlight the influence of the duration of the probe pulse on the measured dynamics. Fig. 1(d) clearly shows a dramatic increase in the temporal resolution of a measurement that employs the PicoSwitch. The temporal shape of the corresponding probe pulse is shown in Fig. 1(e). The original long synchrotron pulse was measured using a fast sampling method (Gaal et al., 2012), which yields a full width at half-maximum (FWHM) of 120 ps. We also clearly recognize the expected asymmetric pulse shape. The shortened pulse was derived from a simulation [red dashed line in Fig. 1(d)] and cross-checked by comparison with the experimental data.
3. Results and discussion
Now we discuss the experimental capabilities of the PicoSwitch pulse-shortening scheme in a real synchrotron-based pump–probe experiment. The sample is composed of a similar structure to the PicoSwitch itself, i.e. a thin-film system composed of a transparent dielectric LAO top layer with a thickness of 104 nm on a metallic LSMO layer with a thickness of 93 nm. The stack is grown on an NGO substrate. Note that the film thicknesses of the sample and the PicoSwitch are different, which results in slightly different propagation times of the coherent sound wave through the respective structure.
The lattice dynamics measured by time-resolved X-ray diffraction (XRD) of the metallic LSMO and dielectric LAO layers are shown in Figs. 2(a) and 2(b), respectively. Experiments were performed at an X-ray photon energy of 14.85 keV on the (002) lattice planes in symmetric ω–2θ geometry.
Both the sample and the PicoSwitch were mounted on motorized xyz translation stages and on a motorized rotation circle with angular resolution better than 0.1 mrad for tuning the incidence angle of the X-ray beam. The size of the X-ray beam before and after symmetric diffraction from the PicoSwitch was approximately 40 µm × 60 µm. The acceptance angle of the PicoSwitch was 870 µrad at an angle of 12.9°, which is eight times larger than the full vertical divergence in the focus of the X-ray beam. At the sample position, approximately 150 mm after the PicoSwitch, we observed no changes in the X-ray beam footprint, divergence or stability. In our setup, the shortened beam is deflected upwards. Insertion of a multilayer mirror could be used to deflect the beam downwards, thus yielding a horizontal beam. The repetition rate of the X-ray beam is reduced to 1 kHz by a system of choppers (Cammarata et al., 2009) to match the laser repetition frequency. The main purpose of the choppers is to reduce the heat load on the beamline optics from the intense X-ray radiation. They also protect soft-matter and biological samples from unnecessary radiation damage, thus leading to a longer sample lifetime. It should be noted that the PicoSwitch contrast is not sufficient to gate a single pulse from the synchrotron pulse train. Instead, gating can be performed electronically by modern detectors (Shayduk et al., 2017). On the ID09 beamline, diffraction and scattering signals are recorded by a Rayonix HS170 detector in accumulation mode, i.e. the signal from many laser/X-ray pulse pairs is accumulated without any time resolution provided by the detector. Beam parameters are summarized in Table 1.
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The sample and PicoSwitch were excited with an optical fluence of 30 mJ cm−2. The principal axes of the elliptical laser footprint on the sample and PicoSwitch were 920 µm/600 µm and 720 µm/630 µm, respectively. We performed simulations of coherent acoustic phonon propagation in the sample using a one-dimensional linear chain model of masses and springs (Herzog, Schick et al., 2012). The phenomenon of propagating high-frequency coherent acoustic phonon wavepackets is well understood (Thomsen et al., 1986; Rose-Petruck et al., 1999; Larsson et al., 2002; Bargheer et al., 2004; Bojahr et al., 2013, 2015; Herzog, Bojahr et al., 2012; Shayduk et al., 2013). Our simulations yield a two-dimensional map of lattice strain versus pump–probe delay along the out-of-plane spatial axis in the sample, as shown in Fig. 1(b). From the spatiotemporal strain map we calculate transient XRD curves using dynamic diffraction theory (Schick et al., 2014; Warren, 1990). Finally, we convolute the XRD simulation with the simulated X-ray probe pulse after reflection from the PicoSwitch. The FWHM of the shortened pulse is approximately 7.5 ps and the pulse is shown in Fig. 1(e).
Figs. 2(c) and 2(d) show simulated dynamics of the LSMO and LAO diffraction peaks, respectively. To reproduce the experimental data in a simulated pump–probe experiment, we find a switching contrast of csw = 33. With ALF = 11.34 we find a total contrast ctotal of 2.93. Both experiment and simulation show the effect of insufficiently suppressed photons of the original long X-ray pulse, e.g. at the equilibrium angle of the LSMO peak of 12.34 in Figs. 2(a) and 2(c). Still, the picosecond dynamics of the propagating sound waves are clearly resolved in the measurement.
Comparing the coloured plots shown in Figs. 2(a) and 2(c) and those in Figs. 2(b) and 2(d), we find excellent agreement of the simulated pump–probe experiment with the experimental data. In particular, we observe a step-like drop in the LSMO peak intensity at ω = 12.34° [black dashed line and black filled circles, Fig. 2(g)]. A delay scan at this incidence angle is shown in Fig. 1(d) compared with a measurement of the same dynamics with the original ESRF X-ray probe pulse. The LSMO peak reappears at ω = 12.29° for approximately 15 ps [blue dashed line and blue filled circles, Fig. 2(g)]. This new peak position corresponds to resulting from the energy deposited by the absorbed optical excitation pulse. At a pump–probe delay of ∼40 ps, the LSMO peak is distorted again but returns to its intermediate expanded angular position [red dashed line and red filled circles, Fig. 2(g)].
The dynamic features observed at the LSMO peak are well understood by simulations of et al., 2012). The initial shift of the LSMO reflex stems from while the second peak distortion originates from the coherent sound wave that is reflected back at the sample surface (Sander et al., 2016). Having determined the sample geometry by static XRD and ellipsometry measurements, we adjust the simulated dynamics via the sound velocity in LSMO and LAO, respectively, to the experimental data. The result agrees well with values reported by other groups (Bogdanova et al., 2003; Michael et al., 1992). For comparison, a similar experiment reported earlier by our group gave 20% higher sound velocities due to insufficient temporal and angular resolution of our XRD setup (Sander et al., 2016).
and coherent phonon generation and propagation (Herzog, SchickAs depicted in Fig. 2(a), we also observe a significant broadening of the LSMO peak after optical excitation. Within the time delay covered in the experiment, thermal transport and heat equilibration do not lead to a significant equilibration of strain within the two layers. Hence, due to the high temporal resolution provided by the PicoSwitch and the high angular resolution provided by the synchrotron, the initial excitation profile directly after absorption of the laser pulse is resolved. The data yield an of the strain in the excited LSMO layer with a of 55 nm−1.
Finally, we discuss the (e), we find an area loss factor ALF = 11.34. The total intensity loss must also account for the finite diffraction ηon of 2 × 10−3. We find a total efficiency of 1.8 × 10−4. Our measurement was performed with the U17 undulator on ID09 at the ESRF, which delivers 2.1 × 106 photons per pulse at an energy of E0 = 14.85 keV, a bunch current of 5 mA and a relative bandwith of ΔE/E0 = 0.016%. With the above considerations, the reduces to 3.6 × 102 photons per pulse.
in the shortened X-ray pulse to check the efficiency of the PicoSwitch. By comparing the integral pulse areas of the original and shortened pulses shown in Fig. 1The calculated initial, final and total contrasts are shown in Fig. 3(a) for a monochromatic X-ray pulse. The high-contrast region also determines a limit for the angular stability of the switch. For experiments which tolerate a higher relative bandwidth, the number of photons can be increased almost linearly with the relative bandwidth ΔE/E0. However, the switching contrast decreases if the relative bandwidth is too large.
The effect of a finite total contrast is demonstrated in Fig. 3(b), which again depicts the sampling of the LSMO peak (black dashed line) with a probe pulse of 7.5 ps FWHM and contrasts of 2.93 (red solid line) and 1.35 (blue solid line). The simulated probe pulses are shown in Fig. 3(c). Clearly, increasing the bandwidth of the X-ray probe pulse yields a higher but it goes hand in hand with a reduced switching contrast. Therefore, the total contrast and intensity of the PicoSwitch probe pulse are related quantities, which allow for adaptation to specific experiments.
We would like to point out again that the PicoSwitch contrast is insufficient for pulse gating. For that, slower photoacoustic transient gratings with diffraction efficiencies of up to 33% may be used (Sander, Herzog et al., 2017; Sander, Pudell et al., 2017). Another parameter for optimizing the experiment and the X-ray is to increase the repetition frequency of the PicoSwitch. A successful implementation of the PicoSwitch at a repetition rate of 208 kHz has already been presented (Sander et al., 2016) and operation even above 1 MHz has been tested successfully. Assuming the PicoSwitch is operated at the ESRF orbit frequency of 354 kHz, the experimentally derived parameters from the measurement shown in Fig. 2 yield a total X-ray of 1.2 × 108 photons s−1. The main performance parameters of the short-pulse beam are summarized in Table 2, which also provides values for an optimized beamline setting with increased bandwidth and increased repetition frequency. As discussed above, both parameters increase the X-ray in the shortened beam. In Table 3 we provide the pulse parameters for other synchrotron-based short-pulse facilities.
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5. Conclusions
In conclusion, we have demonstrated the feasibility of pulse shortening with fast photoacoustic Bragg switches for synchrotron-based pump–probe experiments. Our device, which we call the PicoSwitch, shortens an incident 100 ps long hard X-ray pulse to a duration of 7.5 ps (FWHM). We have defined and quantified the relevant parameters for the 9 photons s−1. The PicoSwitch is a powerful option for introducing high temporal resolution at the beamline level in synchrotron-based experiments. It may become a valuable tool for time-resolved experiments in current and future large-scale radiation facilities.
efficiency and switching contrast of the PicoSwitch. Even with the rather low efficiency of a 1 kHz setup, our experiment monitors structural dynamics due to propagating sound waves in thin epitaxial films. In particular, we profit from the excellent beam stability and angular resolution of the synchrotron beam, which are not degraded by insertion of the PicoSwitch. In an optimized setup with repetition rates up to 1 MHz and a bandwidth of the X-ray pulse of 0.2%, the PicoSwitch would deliver a of more than 10Funding information
Funding for this research was provided by: Bundesministerium für Bildung und Forschung (grant No. 05K16GU3); Horizon 2020 XPROBE (grant No. 637295 to Victoria Kabanova and Michael Wulff).
References
Allam, D. S. (1970). J. Phys. E Sci. Instrum. 3, 1022–1023. CrossRef Google Scholar
Bargheer, M., Zhavoronkov, N., Gritsai, Y., Woo, J. C., Kim, D. S., Woerner, M. & Elsaesser, T. (2004). Science, 306, 1771–1773. Web of Science CrossRef PubMed CAS Google Scholar
Beaud, P., Johnson, S. L., Streun, A., Abela, R., Abramsohn, D., Grolimund, D., Krasniqi, F., Schmidt, T., Schlott, V. & Ingold, G. (2007). Phys. Rev. Lett. 99, 174801. Web of Science CrossRef PubMed Google Scholar
Bogdanova, K. G., Bulatov, A. R., Golenishchev-Kutuzov, V. A., Elokhina, L. V., Kapralov, A. V., Korolev, A. V., Neifel'd, A. & Shakirzyanov, M. M. (2003). Phys. Solid State, 45, 298–303. Web of Science CrossRef CAS Google Scholar
Bojahr, A., Gohlke, M., Leitenberger, W., Pudell, J., Reinhardt, M., von Reppert, A., Roessle, M., Sander, M., Gaal, P. & Bargheer, M. (2015). Phys. Rev. Lett. 115, 195502. Web of Science CrossRef PubMed Google Scholar
Bojahr, A., Herzog, M., Mitzscherling, S., Maerten, L., Schick, D., Goldshteyn, J., Leitenberger, W., Shayduk, R., Gaal, P. & Bargheer, M. (2013). Opt. Express, 21, 21188–21197. Web of Science CrossRef CAS PubMed Google Scholar
Bucksbaum, P. H. & Merlin, R. (1999). Solid State Commun. 111, 535–539. Web of Science CrossRef CAS Google Scholar
Cammarata, M., Eybert, L., Ewald, F., Reichenbach, W., Wulff, M., Anfinrud, P., Schotte, F., Plech, A., Kong, Q., Lorenc, M., Lindenau, B., Räbiger, J. & Polachowski, S. (2009). Rev. Sci. Instrum. 80, 015101. Web of Science CrossRef PubMed Google Scholar
Di Mitri, S. (2018). J. Synchrotron Rad. 25, 1323–1334. Web of Science CrossRef IUCr Journals Google Scholar
Enquist, H., Jurgilaitis, A., Jarnac, A., Bengtsson, Å. U. J., Burza, M., Curbis, F., Disch, C., Ekström, J. C., Harb, M., Isaksson, L., Kotur, M., Kroon, D., Lindau, F., Mansten, E., Nygaard, J., Persson, A. I. H., Pham, V. T., Rissi, M., Thorin, S., Tu, C.-M., Wallén, E., Wang, X., Werin, S. & Larsson, J. (2018). J. Synchrotron Rad. 25, 570–579. Web of Science CrossRef CAS IUCr Journals Google Scholar
Gaal, P., Schick, D., Herzog, M., Bojahr, A., Shayduk, R., Goldshteyn, J., Leitenberger, W., Vrejoiu, I., Khakhulin, D., Wulff, M. & Bargheer, M. (2014). J. Synchrotron Rad. 21, 380–385. Web of Science CrossRef IUCr Journals Google Scholar
Gaal, P., Schick, D., Herzog, M., Bojahr, A., Shayduk, R., Goldshteyn, J., Navirian, H. A., Leitenberger, W., Vrejoiu, I., Khakhulin, D., Wulff, M. & Bargheer, M. (2012). Appl. Phys. Lett. 101, 243106. Web of Science CrossRef Google Scholar
Grigoriev, A., Do, D.-H., Kim, D. M., Eom, C.-B., Evans, P. G., Adams, B. & Dufresne, E. M. (2006). Appl. Phys. Lett. 89, 021109. Web of Science CrossRef Google Scholar
Helmholtz-Zentrum Berlin (2015). Technical Design Study BESSY VSR. https://www.helmholtz-Berlin.de/media/media/angebote/bibliothek/reports/r0001-bessy-vsr-tds.pdf. Google Scholar
Herzog, M., Bojahr, A., Goldshteyn, J., Leitenberger, W., Vrejoiu, I., Khakhulin, D., Wulff, M., Shayduk, R., Gaal, P. & Bargheer, M. (2012). Appl. Phys. Lett. 100, 094101. Web of Science CrossRef Google Scholar
Herzog, M., Schick, D., Gaal, P., Shayduk, R., Korff Schmising, C. & Bargheer, M. (2012). Appl. Phys. A, 106, 489–499. Web of Science CrossRef CAS Google Scholar
Ingold, G., Beaud, P., Johnson, S., Streun, A., Schmidt, T., Abela, R., Al-Adwan, A., Abramsohn, D., Böge, M., Grolimund, D., Keller, A., Krasniqi, F., Rivkin, L., Rohrer, M., Schilcher, T., Schmidt, T., Schlott, V., Schulz, L., van der Veen, F. & Zimoch, D. (2007). AIP Conf. Proc. 879, 1198–1201. CrossRef CAS Google Scholar
Jankowiak, A. & Wüstefeld, G. (2013). Synchrotron Radiat. News, 26(3), 22–24. CrossRef Google Scholar
Larsson, J., Allen, A., Bucksbaum, P., Falcone, R., Lindenberg, A., Naylor, G., Missalla, T., Reis, D., Scheidt, K., Sjogren, A., Sondhauss, P., Wulff, M. & Wark, J. S. (2002). Appl. Phys. Mater. Sci. Process. 75, 467–478. Web of Science CrossRef CAS Google Scholar
Michael, P. C., Trefny, J. U. & Yarar, B. (1992). J. Appl. Phys. 72, 107–109. CrossRef CAS Web of Science Google Scholar
Navirian, H. A., Herzog, M., Goldshteyn, J., Leitenberger, W., Vrejoiu, I., Khakhulin, D., Wulff, M., Shayduk, R., Gaal, P. & Bargheer, M. (2011). J. Appl. Phys. 109, 126104. Web of Science CrossRef Google Scholar
Rose-Petruck, C., Jimenez, R., Guo, T., Cavalleri, A., Siders, C. W., Rksi, F., Squier, J. A., Walker, B. C. Wilson, K. R. & Barty, C. P. J. (1999). Nature, 398, 310–312. CAS Google Scholar
Sander, M., Herzog, M., Pudell, J. E., Bargheer, M., Weinkauf, N., Pedersen, M., Newby, G., Sellmann, J., Schwarzkopf, J., Besse, V., Temnov, V. V. & Gaal, P. (2017). Phys. Rev. Lett. 119, 075901. Web of Science CrossRef PubMed Google Scholar
Sander, M., Koc, A., Kwamen, C. T., Michaels, H., v, A., Reppert, A., Pudell, J., Zamponi, F., Bargheer, M., Sellmann, J., Schwarzkopf, J. & Gaal, P. (2016). J. Appl. Phys. 120, 193101. Web of Science CrossRef Google Scholar
Sander, M., Pudell, J.-E., Herzog, M., Bargheer, M., Bauer, R., Besse, V., Temnov, V. & Gaal, P. (2017). Appl. Phys. Lett. 111, 261903. Web of Science CrossRef Google Scholar
Schick, D., Bojahr, A., Herzog, M., Shayduk, R., von Korff Schmising, C. & Bargheer, M. (2014). Comput. Phys. Commun. 185, 651–660. Web of Science CrossRef CAS Google Scholar
Schick, D., Bojahr, A., Herzog, M., von Korff Schmising, C., Shayduk, R., Leitenberger, W., Gaal, P. & Bargheer, M. (2012). Rev. Sci. Instrum. 83, 025104. Web of Science CrossRef PubMed Google Scholar
Schoenlein, R. W., Chattopadhyay, S., Chong, H. H. W., Glover, T. E., Heimann, P. A., Shank, C. V., Zholents, A. A. & Zolotorev, M. S. (2000). Science, 287, 2237–2240. Web of Science CrossRef PubMed CAS Google Scholar
Schroer, C. G., Agapov, I., Brefeld, W., Brinkmann, R., Chae, Y.-C., Chao, H.-C., Eriksson, M., Keil, J., Nuel Gavaldà, X., Röhlsberger, R., Seeck, O. H., Sprung, M., Tischer, M., Wanzenberg, R. & Weckert, E. (2018). J. Synchrotron Rad. 25, 1277–1290. Web of Science CrossRef CAS IUCr Journals Google Scholar
Sellmann, J., Schwarzkopf, J., Kwasniewski, A., Schmidbauer, M., Braun, D. & Duk, A. (2014). Thin Solid Films, 570, 107–113. Web of Science CrossRef CAS Google Scholar
Shayduk, R., Herzog, M., Bojahr, A., Schick, D., Gaal, P., Leitenberger, W., Navirian, H., Sander, M., Goldshteyn, J., Vrejoiu, I. & Bargheer, M. (2013). Phys. Rev. B, 87, 184301. Web of Science CrossRef Google Scholar
Shayduk, R., Pennicard, D., Krausert, K., Gaal, P., Volkov, S., Vonk, V., Hejral, U., Jankowski, M., Reinhardt, M., Leitenberger, W. & Stierle, A. (2017). J. Synchrotron Rad. 24, 1082–1085. Web of Science CrossRef IUCr Journals Google Scholar
Sheppard, J. M. H., Sondhauss, P., Merlin, R., Bucksbaum, P., Lee, R. W. & Wark, J. S. (2005). Solid State Commun. 136, 181–185. Web of Science CrossRef CAS Google Scholar
Thomsen, C., Grahn, H. T., Maris, H. J. & Tauc, J. (1986). Phys. Rev. B, 34, 4129–4138. CrossRef CAS Web of Science Google Scholar
Warren, B. (1990). X-ray Diffraction. Addison–Wesley Series in Metallurgy and Materials Engineering. New York: Dover Publications. Google Scholar
Zamponi, F., Ansari, Z., Korff Schmising, C., Rothhardt, P., Zhavoronkov, N., Woerner, M., Elsaesser, T., Bargheer, M., Trobitzsch-Ryll, T. & Haschke, M. (2009). Appl. Phys. A, 96, 51–58. Web of Science CrossRef CAS Google Scholar
Zolotoyabko, E. & Quintana, J. P. (2004). Rev. Sci. Instrum. 75, 699–708. Web of Science CrossRef CAS Google Scholar
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