research papers
Device for source position stabilization and beam parameter monitoring at inverse Compton X-ray sources
aDepartment of Physics, Technical University of Munich, James-Franck-Straße 1, 85748 Garching, Germany, bMunich School of BioEngineering, Technical University of Munich, Boltzmannstraße 11, 85748 Garching, Germany, and cDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675 München, Germany
*Correspondence e-mail: benedikt.guenther@tum.de
Compact X-ray sources based on inverse Compton scattering provide brilliant and partially coherent X-rays in a laboratory environment. The
for inverse Compton scattering is very small, requiring high-power laser systems as well as small laser and electron beam sizes at the interaction point to generate sufficient Therefore, these systems are very sensitive to distortions which change the overlap between the two beams. In order to monitor X-ray source position, size and in parallel to experiments, the beam-position monitor proposed here comprises a small knife edge whose image is acquired with an X-ray camera specifically designed to intercept only a very small fraction of the X-ray beam. Based on the source position drift recorded with the monitor, a closed-loop feedback stabilizes the X-ray source position by adjusting the laser beam trajectory. A decrease of long-term source position drifts by more than one order of magnitude is demonstrated with this device. Consequently, such a closed-loop feedback system which enables stabilization of source position drifts and of inverse Compton sources in parallel to experiments has a significant impact on the performance of these sources.Keywords: inverse Compton X-ray sources; beam-position monitor; active source position stabilization.
1. Compact X-ray sources based on inverse Compton scattering
High-brilliance X-rays generated in synchrotron facilities are necessary for a wide range of advanced methods in imaging, e.g. phase contrast imaging (Bonse & Hart, 1965; Snigirev et al., 1995; Cloetens et al., 1996; Momose et al., 2003; Weitkamp et al., 2005), real-time or high-speed imaging (Berg et al., 2013; Maire et al., 2016; Olbinado et al., 2017) as well as high-resolution imaging (Sakdinawat & Attwood, 2010), spectroscopy, e.g. extended X-ray absorption fine structure (Lee et al., 1981), or X-ray polarimetry, e.g. circular magnetic dichroism (Schütz et al., 1987; Chen et al., 1995). Although these powerful techniques can often provide valuable information for biomedical research as well as industrial product screening, their application outside large research centers has been very limited due to the fact that synchrotron facilities are not readily available because of their large dimension and high cost of construction and operation.
Compact X-ray sources based on inverse Compton scattering recently demonstrated sufficient et al., 2008; Gradl et al., 2017) and grating-based phase contrast imaging (Bech et al., 2009; Schleede, Meinel et al., 2012; Schleede, Bech et al., 2012; Eggl et al., 2015; Eggl, Schleede et al., 2016) as well as protein crystallography (Abendroth et al., 2010) have already been demonstrated at a compact light source which is based on a small electron storage ring. Currently many projects to develop and build inverse Compton sources are ongoing, e.g. the Munich Compact Light Source (MuCLS) (Eggl, Dierolf et al., 2016), the cERL-based laser Compton X-ray source at KEK (Akagi et al., 2016), STAR (Bacci et al., 2014, 2016), Tsinghua Thomson Scattering X-ray Source (Du et al., 2013), ASU Compact XFEL (Graves et al., 2017), LLNL Laser Compton X-ray Source (Hwang et al., 2016), Smart*Light (Luiten, 2016), NESTOR (Shcherbakov et al., 2013), SPARC_LAB Thomson Source (Vaccarezza et al., 2016), ThomX (Variola et al., 2014). Some of them aim for source sizes below 5 µm which on the one hand should provide sufficient coherence to access the holographic regime, but on the other hand means they require a very stable source position or overlap between electron and laser beam, respectively. In general, temporal thermal gradients influence the radiofrequency phases of the electron accelerator. Additionally, steering of the laser beam can be compromised by thermally induced stress in optics, e.g. if those components are placed in close proximity to strong conventional magnets, especially during the magnets' heat-up. This changes electron beam and/or laser beam position and degrades overlap between these two beams, resulting in a reduced X-ray as well as a shift of the source position. In order to suppress this behavior, we developed a closed-loop X-ray beam-position monitor and stabilization system that is designed to work in parallel to experiments. The system has been implemented at the MuCLS, but can be used in different geometries, too.
and to potentially transfer many of these techniques into a laboratory environment, (pre-)clinical setting or assembly line. Propagation-based (Ikeura-SekiguchiThe MuCLS, consisting of the Compact Light Source (CLS) developed by Lyncean Technologies Inc. (Fremont, USA) and the beamline including the experimental end-stations developed in-house, is the first commercially available compact synchrotron source based on inverse Compton scattering. As the −29 m−2 for scattering into the full solid angle), high X-ray at this source is ensured by a high interaction frequency of 64.91 MHz. To this end, an electron beam revolves in a small storage ring and a laser pulse circulates in a laser ring resonator with a matched frequency, which additionally acts as a passive laser amplifier. This design was proposed by Huang & Ruth (1998). The MuCLS is constructed to provide X-rays in the range between 15 and 35 keV. Its initial performance after installation at the Munich School of BioEngineering in 2015 was a of 1.0 × 1010 photons s−1 emitted into a cone angle of 4 mrad which is enforced by the exit aperture (Eggl, Dierolf et al., 2016). A recently installed laser upgrade pushed the up to 3 × 1010 photons s−1 at 35 keV while maintaining small root-mean-square source sizes below 50 µm. This higher was reached by significantly increasing the power stored in the laser resonator. As a consequence, the interplay between thermal fluctuations and laser orbit in the cavity became more pronounced. This resulted in stronger shifts of the X-ray source position leading to a degraded X-ray (cf. Fig. 4b), as discussed above.
for inverse Compton scattering is very small (∼6.65 × 102. An X-ray beam monitor (XBM) for inverse Compton sources
2.1. Design constraints
In order to monitor and compensate such shifts of the X-ray source position, especially during experiments, a closed-loop feedback system was developed. The main constraints for the design of such a system arise from the feedback frequency on the order of 1 Hz required to compensate the aforementioned drifts, the X-ray 8 photons s−1 mm−2 is orders of magnitude lower than the ones available at synchrotrons, e.g. >1012 photons s−1 mm−2 at P05 at Petra III at DESY (DESY, 2018) or beamline X25 at the NSLS (Muller et al., 2012). Therefore, common solutions using the of thin diamond screens or polycrystalline quadrant detectors do not deliver sufficient signal levels for online beam-position measurements at levels available at inverse Compton sources (Bloomer et al., 2016). Single-crystalline diamond screens offer sufficient signal for beam-position measurement, as they do not suffer from charge trapping in grain boundaries which reduces detector efficiency (Tromson et al., 2000). Currently, their size is limited to a diameter of a few millimetres (Bloomer et al., 2016; Muller et al., 2012; Morse et al., 2010). This is smaller than the minimum accessible X-ray beam diameter at the MuCLS of about 6 mm discussed above. Consequently these systems cannot be employed as beam-position monitors for large beam diameters like the ones provided at the MuCLS. Longitudinal segmented ion chambers or split ionization chambers provide information on X-ray as well as X-ray beam position, but, like the diamond beam-position monitors, two of these monitors are necessary to determine the X-ray source position and they lack information on the source size of the X-ray beam as well (Menk et al., 2007). The latter is the most important parameter for ensuring the correct relative timing between the electron and the laser pulse so that inverse Compton scattering takes place at their common focal position.
provided at state-of-the-art inverse Compton X-ray sources, like the MuCLS, and the respective beamline geometry. Knowing the geometry, two beam-position monitors would be necessary to calculate the source position through extrapolation of the beam trajectory. The one closest to the X-ray source would have to be placed directly downstream of the X-ray exit window of the vacuum chamber, because it is not possible to install any monitor inside the vacuum vessel without severely degrading the laser pulses circulating in the enhancement cavity. This restricts the shortest distance to 1.4 m, where the X-ray beam size is already ∼6 mm in diameter. The second beam-position monitor could be placed only outside the radiation shielding enclosure of the MuCLS just in front of the first experimental setup at a distance of ∼3.0 m. At this distance, the X-ray diameter is 12 mm, which, on the one hand, is too large for commercially available synchrotron beam-position monitor systems; on the other hand, the typical X-ray of at most 2.7 × 102.2. XBM design
Considering these constraints, our goal was to develop a more efficient system able to cope with this lower et al., 2016): the extended source leads to a (penumbral) blurring of the knife edge in the recorded image. By fitting an error function to the respective edges, the horizontal and vertical source sizes and the source position can be extracted, if the imaging geometry and detector point-spread function (PSF) are known. The of the source can be calculated from the number of photons absorbed in the detector.
This can be achieved by recording a geometrically magnified image of a knife edge with a photon-counting hybrid pixel array detector (Eggl, DierolfWhile this scheme is very robust and efficient, the implementation used by Eggl, Dierolf et al. (2016) was neither compact nor suited to work in parallel to experiments. Our new setup employing the same principle therefore replaces the previously rather big knife edge, which blocked almost 75% of the X-ray beam, with a tiny version that is inserted only at the very bottom of the beam. The second component of the new implementation is a detector that intercepts only that very small part of the X-ray beam and is placed at a distance of 2.98 m from the interaction point.
This way, online X-ray source monitoring becomes possible in parallel to and without negatively affecting experiments. A schematic of the resulting setup is depicted in Fig. 1(a).
As the tungsten knife edge intercepting the X-ray beam from the bottom is located at a distance of 1.45 m from the source point, there is no geometrical magnification in this case. Thus, the X-ray camera has to provide a half-period resolution of at least 10 µm as the X-ray source size is about 50 µm. We chose a commercial Basler Ava 1600-50gm CCD camera (Basler AG, Ahrensburg, Germany) for its low dark noise and small pixel size of 5.5 µm in a very compact housing. A good compromise between high spatial resolution and sufficient X-ray conversion for online measurements in the energy range between 15 and 35 keV is a 10 µm-thick LuAG:Ce single-crystal scintillator. It is covered with a thin reflective aluminium coating in order to enhance light collection on the one hand and inhibit visible light transmission from the environment into the detector on the other hand. Two fiber-optic plates consisting of fibers of 3 µm core diameter guide the visible light photons from the scintillator to the CCD chip. Manufacturing constraints required a thin second fiber-optic plate glued to the CCD chip, while the long fiber-optic plate, to which the scintillator is coupled, is interchangeable. This optic guarantees very efficient transmission while maintaining the resolution of the CCD camera. The long fiber-optic plate of 25 mm length is cut at an angle of 45° at the top in order to allow the rest of the X-ray beam to pass above the housing of the camera when the scintillator is adjusted to intercept only a very small part at the beam's bottom, cf. Fig. 1(c). As a result, the detector system, depicted in Fig. 1(a) at position 7, is tilted by 45° with respect to the optical axis, resulting in an effective vertical pixel size of 3.9 µm. A comparison of Fig. 1(b) displaying the unobstructed X-ray beam with Fig. 1(d), where the XBM is placed into its operating position, demonstrates the feasibility of our approach. Both images are taken with our Andor Zyla 5.5 sCMOS camera (Andor, Belfast, UK) equipped with a 2:1 fiber-optic taper and a 20 µm Gadox scintillator, which is part of our experimental end-station. Customization of the camera according to our design was performed by Crytur (Turnov, Czech Republic). The frames are directly read out from the camera via the EtherLink interface using the pypylon library, the official Python wrapper around the pylon 5 library of Basler. Gain map correction and fits are performed using standard SciPy functions (Jones et al., 2001). The calculated source parameters are sent to the EPICS control system of the CLS and used in a software feedback loop to adjust the laser orbit in the cavity.
2.3. Characterization of the XBM
The result of our analysis regarding the camera resolution is displayed in Fig. 2. For this analysis, the camera and the resolution pattern were oriented parallel to each other, i.e. both horizontal and vertical effective pixel sizes are 5.5 µm.
Fig. 2(a) shows a line pattern (Xradia, Pleasanton, USA), which was used for analysis of the modulation transfer function (MTF). The Siemens star in Fig. 2(b) demonstrates isotropic resolution of the camera system. Therefore, MTF analysis of the line pattern enclosed by the green box is representative of the whole camera. Fig. 2(c) depicts the intensity modulation of the line pattern averaged in the vertical direction, i.e. along the direction of the lines. The MTF was calculated for the region marked by a blue box in Fig. 2(a) and is plotted in Fig. 2(d). In order to account for substrate absorption, the reference contrast amplitude has been determined as the contrast between the large square structures and the background assuming a constant structure height as well as substrate thickness. The orange line is a moving average (Savitzky–Golay) of the MTF. 65 line-pairs mm−1 are resolved at a MTF of 0.1. This corresponds to a resolution limit of ∼8 µm lines which fulfills the 10 µm requirement originally specified for the camera system. Consequently, online monitoring at a frequency of 1 Hz is possible.
A typical image is depicted in Fig. 3(a) where the individual pixel response is accounted for with a gain map. The total X-ray is determined from the average value of counts within the region of interest shown by the black box with an empirical conversion factor. The red and green boxes indicate the regions of interest for the error function fits, which are depicted in Figs. 3(b)–3(c) in the corresponding colors. The raw data are averaged along the direction of the edge before the error function fit. In contrast to photon-counting detectors which exhibit a box-like PSF, any optic in the camera system – in our case a scintillator and a fiber-optic plate – increases the PSF. We determined both the PSF and the conversion factor by calibrating the source sizes and the measured with the integrating CCD detector to the ones obtained with a photon-counting hybrid pixel array detector (Pilatus 200k, Detris AG, Baden, Switzerland). Its photon counts can be converted into absolute of the source incorporating knowledge about the spectrum and spectral efficiency of the silicon sensor as well as the setup geometry (Eggl, Dierolf et al., 2016). Both measurements were recorded in parallel immediately demonstrating the desired capability of the XBM to work in parallel to experiments. Assuming a Gaussian shape of the PSF, a PSF of 5.73 pixels has been calculated in the vertical direction and a PSF of 6.56 pixels in the horizontal one. Source sizes are determined from the measured and PFS-deconvoluted error function fits by multiplying the resulting pixel number with the corresponding effective pixel sizes for the vertical and horizontal direction. The source position can be tracked via the position of the edge in the image.
3. Closed-loop X-ray source stabilization
3.1. Correction of source position drift
First, the offset from the optimum overlap position of laser and electron beam is calculated by comparing the positions recorded with the XBM with the reference value after X-ray tuning. The shift of the source position is then corrected for by adjusting the steering of the laser beam with a motorized mirror mount. In the special case of the MuCLS, we use one of the mirrors of the enhancement cavity to perform this move. This procedure is not limited to correction of laser-driven source position movements in enhancement cavities, but is compatible with single-shot laser or laser recirculator-based inverse Compton sources. The calculated deviation of the source position from the desired one is multiplied with an empirical gain factor which translates the distance into an angular tip/tilt correction for the respective piezoelectric actuators attached to the motorized mirror. As a result, the position of the laser beam is slightly shifted back to its original position correcting the drift of the source position. The lower action limit of the actuator is set to 0.001 V in the software feedback and the determined conversion factor relating the voltage and the source position shift is 0.02 V µm−1. Therefore, the minimum motion of the source position by the feedback is 0.05 µm. This is smaller than the sub-pixel accuracy of the source position determination of ±0.3–0.4 µm given as the standard deviation of the fit parameters of the error function fits to the respective edges. Consequently, the sensitivity of the system is limited by the determination of the source position. The feedback usually runs with an update frequency of 1 Hz, which is more than sufficient to correct the substantially slower thermal drifts and allows one to operate the XBM with an exposure time of 0.5 s. Image readout and calculation of the source parameters take another ∼0.07 s, online visualization of the acquired data and the knife-edge fits inside the analysis loop takes ∼0.25 s (but could simply be turned off). The design frequency of 1 Hz is achieved by implementing an additional wait time. In particular, the beam-position monitor is also used for the initial optimization of the overlap between the laser beam and electron beam. Also, in this case, the acquisition time of 0.5 s is sufficient to still obtain reliable results at a of around 109 photons s−1 which is one order of magnitude lower than the typical case. Consequently, the acquisition time could be significantly reduced for the purpose of beam stabilization, but ultimately the feedback frequency is limited by the provided by the X-ray source at the position of the beam monitor.
3.2. Evaluation of the XBM and its performance in beam stabilization
The benefit of the feedback on source position is clearly visible by comparing the two 3 h runs displayed in Fig. 4 where the closed-loop feedback was active in (a) and turned off in (b). This duration was chosen because it reflects typical timescales for experiments frequently performed at the MuCLS, e.g. grating-based phase contrast tomography (Eggl et al., 2015). Quantitative numbers of the MuCLS performance during these runs are given in Table 1. A general observation is that variances of source position, source size as well as are substantially lower, if the feedback is running.
|
However, even more important for experiments are the maximum drifts. A drop in the X-ray
of 8% is observed over the course of 3 h when the feedback is turned off compared with only 2% when the beam stabilization is active. Instead of position drifts of 8.94 µm over the period of 3 h in the horizontal direction and −5.75 µm in the vertical direction, the X-ray source position remains almost perfectly stable when the feedback is active, resulting in drifts of 0.6 µm in the horizontal direction and −0.46 µm in the vertical one. Absolute shifts well below 1 µm over the course of 3 h correspond to a relative shift of ∼1% of the source size when the feedback is running compared with shifts of up to ∼16% when the feedback is turned off. The observed improvement amounts to a factor of 14.9 in the horizontal source position stability and 12.5 in the vertical one, which is a reduction by more than one order of magnitude.4. Significance of X-ray source position stabilization
Drifts of the source position presently limit the applicability of inverse Compton sources to certain types of experiments, e.g. scanning microscopy or phase contrast imaging. It has been demonstrated here that a beam-position monitor consisting of a knife edge and a customized commercial CCD camera is sufficient to determine X-ray source parameters, such as X-ray source size and position online. It therefore overcomes the limited applicability of commercial synchrotron beam-position monitors at this class of sources due to the moderate densities and large beam diameters. In addition, it allows one to stabilize the X-ray source in combination with a feedback system. This is achieved by acting upon changes in X-ray source position and adjusting the steering of the laser pulse within the resonator such that the shift of the source position is compensated. Most importantly, this is possible in parallel to and without impairing experiments. Instead of drifts of the source position of up to 9 µm within 3 h, the feedback reduces the amplitude of the drift by more than one order of magnitude.
This work enables very position-sensitive experiments to be carried out at compact inverse Compton X-ray sources in the future. Moreover, this X-ray beam stabilization scheme is not limited to inverse Compton sources. Any kind of X-ray source providing a sufficient
and incorporating elements which can be used as actuators to actively influence the source position, like electron beam optics and/or motorized laser beam optics, can exploit our proposed scheme for source position stabilization. Instead of adjusting a mirror of the laser beam to keep the source position constant, an electron optic would have to be adjusted to steer the electron beam back to its original position.Acknowledgements
The authors would like to thank the staff of Lyncean Technologies Inc. for their technical support, in particular Roderick J. Loewen for discussions concerning source position stabilization.
Funding information
We acknowledge financial support through the Centre for Advanced Laser Applications (CALA), the DFG Cluster of Excellence Munich-Centre for Advanced Photonics (MAP, DFG EXC-158) and the DFG Gottfried Wilhelm Leibniz program.
References
Abendroth, J., McCormick, M. S., Edwards, T. E., Staker, B., Loewen, R., Gifford, M., Rifkin, J., Mayer, C., Guo, W., Zhang, Y., Myler, P., Kelley, A., Analau, E., Hewitt, S. N., Napuli, A. J., Kuhn, P., Ruth, R. D. & Stewart, L. J. (2010). J. Struct. Funct. Genomics, 11, 91–100. CrossRef CAS PubMed Google Scholar
Akagi, T., Kosuge, A., Araki, S., Hajima, R., Honda, Y., Miyajima, T., Mori, M., Nagai, R., Nakamura, N., Shimada, M., Shizuma, T., Terunuma, N. & Urakawa, J. (2016). Phys. Rev. ST Accel. Beams, 19, 114701. Web of Science CrossRef Google Scholar
Bacci, A., Drebot, I., Serafini, L., Torri, V., Petrillo, V., Conti, M. R., Puppin, E., Alesini, D., Bellaveglia, M., Bisesto, F., Buonomo, B., Di Pirro, G., Esposito, A., Iungo, F., Beltrano, J., Borgese, G., Raddo, G. D., Gallo, A., Ghigo, A., Pellegrino, L., Stella, A., Vaccarezza, C., Cianchi, A., Agostino, R., Barberi, R., Ghedini, M., Martire, F., Pace, C., Dauria, G., Fabris, A. & Marazzi, M. (2016). Proceedings of the 7th International Particle Accelerator Conference (IPAC2016), 8–13 May 2016, Busan, Korea, pp. 1747–1750. TUPOW004. Google Scholar
Bacci, A., Palmer, D., Serafini, L., Torri, V., Petrillo, V., Tomassini, P., Puppin, E., Alesini, D., Anania, M., Bellaveglia, M., Bisesto, F., Di Pirro, G., Esposito, A., Ferrario, M., Gallo, A., Gatti, G., Ghigo, A., Spataro, B., Vaccarezza, C., Villa, F., Cianchi, A., Agostino, R., Borgese, G., Ghedini, M., Martire, F., Pace, C., Levato, T., Dauria, G., Fabris, A. & Marazzi, M. (2014). Proceedings of the 5th International Particle Accelerator Conference (IPAC2014), 15–20 June 2014, Dresden, Germany, pp. 2238–2241. WEPRO115. Google Scholar
Bech, M., Bunk, O., David, C., Ruth, R., Rifkin, J., Loewen, R., Feidenhans'l, R. & Pfeiffer, F. (2009). J. Synchrotron Rad. 16, 43–47. Web of Science CrossRef IUCr Journals Google Scholar
Berg, S., Ott, H., Klapp, S. A., Schwing, A., Neiteler, R., Brussee, N., Makurat, A., Leu, L., Enzmann, F., Schwarz, J.-O., Kersten, M., Irvine, S. & Stampanoni, M. (2013). Proc. Natl Acad. Sci. 110, 3755–3759. Web of Science CrossRef CAS PubMed Google Scholar
Bloomer, C., Rehm, G. & Dolbnya, I. P. (2016). AIP Conf. Proc. 1741, 030022. Google Scholar
Bonse, U. & Hart, M. (1965). Appl. Phys. Lett. 6, 155–156. CrossRef Web of Science Google Scholar
Chen, C., Idzerda, Y., Lin, H.-J., Smith, N., Meigs, G., Chaban, E., Ho, G., Pellegrin, E. & Sette, F. (1995). Phys. Rev. Lett. 75, 152–155. CrossRef PubMed CAS Web of Science Google Scholar
Cloetens, P., Barrett, R., Baruchel, J., Guigay, J. P. & Schlenker, M. (1996). J. Phys. D Appl. Phys. 29, 133–146. CrossRef CAS Web of Science Google Scholar
DESY (2018). Unified Data Sheet P05 – Imaging Beamline (2018/06/26; 08:57), https://photon-science.desy.de/facilities/petra_iii/beamlines/p05_imaging_beamline/unified_data_sheet_p05. Google Scholar
Du, Y., Yan, L., Hua, J., Du, Q., Zhang, Z., Li, R., Qian, H., Huang, W., Chen, H. & Tang, C. (2013). Rev. Sci. Instrum. 84, 053301. Web of Science PubMed Google Scholar
Eggl, E., Dierolf, M., Achterhold, K., Jud, C., Günther, B., Braig, E., Gleich, B. & Pfeiffer, F. (2016). J. Synchrotron Rad. 23, 1137–1142. Web of Science CrossRef IUCr Journals Google Scholar
Eggl, E., Schleede, S., Bech, M., Achterhold, K., Grandl, S., Sztrókay, A., Hellerhoff, K., Mayr, D., Loewen, R., Ruth, R. D., Reiser, M. F. & Pfeiffer, F. (2016). Europhys. Lett. 116, 68003. Web of Science CrossRef Google Scholar
Eggl, E., Schleede, S., Bech, M., Achterhold, K., Loewen, R., Ruth, R. D. & Pfeiffer, F. (2015). Proc. Natl Acad. Sci. 112, 5567–5572. Web of Science CrossRef CAS PubMed Google Scholar
Gradl, R., Dierolf, M., Hehn, L., Günther, B., Yildirim, A. Ö., Gleich, B., Achterhold, K., Pfeiffer, F. & Morgan, K. S. (2017). Sci. Rep. 7, 4908. Web of Science CrossRef PubMed Google Scholar
Graves, W. S., Chen, J. P. J., Fromme, P., Holl, M. R., Kirian, R., Malin, L. E., Schmidt, K. E., Spence, J. C. H., Underhill, M., Weierstall, U., Zatsepin, N. A., Zhang, C., Brown, P. D., Hong, K. H., Moncton, D. E. & Nanni, E. A. (2017). Proceedings of the 38th International Free Electron Laser Conference (FEL2017), 20–25 August 2017, Santa Fe, NM, USA, pp. 225–228. TUB03. Google Scholar
Huang, Z. & Ruth, R. D. (1998). Phys. Rev. Lett. 80, 976–979. Web of Science CrossRef CAS Google Scholar
Hwang, Y., Tajima, T., Anderson, G., Gibson, D. J., Marsh, R. A. & Barty, C. P. J. (2016). Proceedings of the North American Particle Accelerator Conference (NAPAC2016), 9–14 October 2016, Chicago, IL, USA, pp. 977–979. WEPOB35. Google Scholar
Ikeura-Sekiguchi, H., Kuroda, R., Yasumoto, M., Toyokawa, H., Koike, M., Yamada, K., Sakai, F., Mori, K., Maruyama, K., Oka, H. & Kimata, T. (2008). Appl. Phys. Lett. 92, 131107. Google Scholar
Jones, E., Oliphant, T., Peterson, P. et al., (2001). SciPy: open source scientific tools for Python (online; accessed 2018-09-19), https://www.scipy.org/. Google Scholar
Lee, P. A., Citrin, P. H., Eisenberger, P. & Kincaid, B. M. (1981). Rev. Mod. Phys. 53, 769–806. CrossRef CAS Web of Science Google Scholar
Luiten, O. J. (2016). KNAW-Agenda Grootschalige Onderzoeksfaciliteiten: Smart*Light: a Dutch table-top synchrotron light source. Amsterdam: Koninklijke Nederlandse Akademie van Wetenschappen (KNAW) (https://pure.tue.nl/ws/portalfiles/portal/41980945/Eervol_KNAW_Agenda_SmartLight.pdf). Google Scholar
Maire, E., Le Bourlot, C., Adrien, J., Mortensen, A. & Mokso, R. (2016). Int. J. Fract. 200, 3–12. Web of Science CrossRef CAS Google Scholar
Menk, R. H., Giuressi, D., Arfelli, F. & Rigon, L. (2007). AIP Conf. Proc. 897, 1109–1112. CrossRef Google Scholar
Momose, A., Kawamoto, S., Koyama, I., Hamaishi, Y., Takai, K. & Suzuki, Y. (2003). Jpn. J. Appl. Phys. 42, L866–L868. Web of Science CrossRef CAS Google Scholar
Morse, J., Solar, B. & Graafsma, H. (2010). J. Synchrotron Rad. 17, 456–464. Web of Science CrossRef CAS IUCr Journals Google Scholar
Muller, E. M., Smedley, J., Bohon, J., Yang, X., Gaowei, M., Skinner, J., De Geronimo, G., Sullivan, M., Allaire, M., Keister, J. W., Berman, L. & Héroux, A. (2012). J. Synchrotron Rad. 19, 381–387. Web of Science CrossRef CAS IUCr Journals Google Scholar
Olbinado, M. P., Cantelli, V., Mathon, O., Pascarelli, S., Grenzer, J., Pelka, A., Roedel, M., Prencipe, I., Garcia, A. L., Helbig, U., Kraus, D., Schramm, U., Cowan, T., Scheel, M., Pradel, P., De Resseguier, T. & Rack, A. (2017). J. Phys. D Appl. Phys. 51, 055601. Web of Science CrossRef Google Scholar
Sakdinawat, A. & Attwood, D. (2010). Nat. Photon. 4, 840–848. Web of Science CrossRef CAS Google Scholar
Schleede, S., Bech, M., Achterhold, K., Potdevin, G., Gifford, M., Loewen, R., Limborg, C., Ruth, R. & Pfeiffer, F. (2012). J. Synchrotron Rad. 19, 525–529. Web of Science CrossRef IUCr Journals Google Scholar
Schleede, S., Meinel, F. G., Bech, M., Herzen, J., Achterhold, K., Potdevin, G., Malecki, A., Adam-Neumair, S., Thieme, S. F., Bamberg, F., Nikolaou, K., Bohla, A., Yildirim, A. O., Loewen, R., Gifford, M., Ruth, R., Eickelberg, O., Reiser, M. & Pfeiffer, F. (2012). Proc. Natl Acad. Sci. 109, 17880–17885. Web of Science CrossRef CAS PubMed Google Scholar
Schütz, G., Wagner, W., Wilhelm, W., Kienle, P., Zeller, R., Frahm, R. & Materlik, G. (1987). Phys. Rev. Lett. 58, 737–740. CrossRef PubMed Web of Science Google Scholar
Shcherbakov, A. A., Androsov, V. P., Aizatsky, N., Boriskin, V. N., Bulyak, E. V. & Al, E. (2013). Proceedings of the Fourth International Particle Accelerator Conference (IPAC2013), 12–17 May 2013, Shanghai, China, pp. 2253–2255. WEPWA060. Google Scholar
Snigirev, A., Snigireva, I., Kohn, V., Kuznetsov, S. & Schelokov, I. (1995). Rev. Sci. Instrum. 66, 5486–5492. CrossRef CAS Web of Science Google Scholar
Tromson, D., Brambilla, A., Foulon, F., Mer, C., Guizard, B., Barrett, R. & Bergonzo, P. (2000). Diamond Relat. Mater. 9, 1850–1855. Web of Science CrossRef CAS Google Scholar
Vaccarezza, C., Alesini, D., Anania, M. P., Bacci, A., Biagioni, A., Bisesto, F., Bellaveglia, M., Cardarelli, P., Cardelli, F., Cianchi, A., Chiadroni, E., Croia, M., Curcio, A., Delogu, P., Giovenale, D. D., Domenico, G. D., Pirro, G. D., Drebot, I., Ferrario, M., Filippi, F., Gallo, A., Galletti, M., Gambaccini, M., Giribono, A., Golosio, B., Li, W., Mostacci, A., Oliva, P., Palmer, D., Petrillo, V., Petrarca, M., Pioli, S., Piersanti, L., Pompili, R., Romeo, S., Rossi, A. R., Scifo, J., Serafini, L., Suliman, G. & Villa, F. (2016). Nucl. Instrum. Methods Phys. Res. A, 829, 237–242. Web of Science CrossRef CAS Google Scholar
Variola, A., Haissinski, J., Loulergue, A. & Zomer, F. (2014). Editors. ThomX Technical Design Report, pp. 1–164, https://hal.in2p3.fr/in2p3-00971281. Google Scholar
Weitkamp, T., Diaz, A., David, C., Pfeiffer, F., Stampanoni, M., Cloetens, P. & Ziegler, E. (2005). Opt. Express, 13, 6296–6304. Web of Science CrossRef PubMed 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.