research papers
Scientific instrument Femtosecond X-ray Experiments (FXE): instrumentation and baseline experimental capabilities1
aFemtosecond X-ray Experiments Group, European XFEL, Holzkoppel 4, 22869 Schenefeld, Germany, bFaculty of Physics, Adam Mickiewicz University, Umultowska 85, 61-614 Poznań, Poland, cThe Hamburg Centre for Ultrafast Imaging, Universität Hamburg, 22607 Hamburg, Germany, dBiological Research Centre (BRC), Hungarian Academy of Sciences, Temesvári krt 62, H-6726 Szeged, Hungary, eSTFC Technology, Rutherford Appleton Laboratory, Didcot, Oxfordshire OX11 0QX, UK, and fFakultät Physik, Technische Universität Dortmund, 44227 Dortmund, Germany
*Correspondence e-mail: christian.bressler@xfel.eu
The European X-ray Free-Electron Laser (EuXFEL) delivers extremely intense (>1012 photons pulse−1 and up to 27000 pulses s−1), ultrashort (<100 fs) and transversely coherent X-ray radiation, at a repetition rate of up to 4.5 MHz. Its unique X-ray beam parameters enable novel and groundbreaking experiments in ultrafast and material sciences at the Femtosecond X-ray Experiments (FXE) scientific instrument. This paper provides an overview of the currently implemented experimental baseline instrumentation and its performance during the commissioning phase, and a preview of planned improvements. FXE's versatile instrumentation combines the simultaneous application of forward X-ray scattering and techniques with femtosecond time resolution. These methods will eventually permit exploitation of wide-angle X-ray scattering studies and X-ray emission spectroscopy, along with X-ray absorption spectroscopy, including resonant inelastic X-ray scattering and X-ray Raman scattering. A suite of ultrafast optical lasers throughout the UV–visible and near-IR ranges (extending up to mid-IR in the near future) with pulse length down to 15 fs, synchronized to the X-ray source, serve to initiate dynamic changes in the sample. Time-delayed hard X-ray pulses in the 5–20 keV range are used to probe the ensuing dynamic processes using the suite of X-ray probe tools. FXE is equipped with a primary monochromator, a primary and secondary single-shot spectrometer, and a timing tool to correct the residual timing jitter between laser and X-ray pulses.
Keywords: XFELs; X-rays; pump–probe; ultrafast science.
1. Introduction
More than three decades ago coherent et al., 1981). Since then, an impressive development of ultrafast optical spectroscopies has taken place (Zewail, 2000), addressing the timescale of atomic movements from picoseconds (ps) to femtoseconds (fs), i.e. from 10−12 to 10−15 s, respectively, and already entering the attosecond (as) time domain (Calegari et al., 2016; Gallmann et al., 2012). Fundamental processes in physics, chemistry and biology occur in this ultrashort time range, exemplified by the timescale of chemical bond breaking, formation and structural reorganization, by the transfer of energy and charge through molecules and solids, and by changes of spin states and guest–host interactions. In other words, with the advent of fs optical tools we have gained a deeper understanding of the underlying elementary steps in all kinds of matter.
were observed in `real time' on a picosecond timescale exploiting short-pulse lasers (LambertDespite the ongoing success of femtochemistry (Zewail, 2000), some fundamental questions regarding ultrafast processes remain unsolved. Optical domain spectroscopy does not directly deliver evolving structural information and in consequence efforts have been undertaken to combine the high time resolution of fs lasers with the high spatial resolution (at the atomic level) of structurally sensitive tools using electrons or X-rays (Chergui & Zewail, 2009). The next step aimed at pushing the timescale of structure-sensitive techniques into the fs region, and this expanded towards element-sensitive structural tools capable of directly resolving the electronic, spin and geometric structure changes during the course of a chemical reaction and their influence on the chemical reactivity.
With the construction of ultrafast short-wavelength light sources over the past ten years, i.e. free-electron lasers (FELs), which extend the available photon energies from soft to hard X-ray ranges (0.1–20 keV), entirely new experiments in ultrafast have been made possible (Ullrich et al., 2012; Gallmann et al., 2012; Ackermann et al., 2007; Emma et al., 2010; Shintake et al., 2008). In particular, FEL sources, based on the self-amplified (SASE) process, have become operational at several large-scale facilities worldwide and provide intense coherent vacuum UV to X-ray radiation with fs pulse lengths (Emma et al., 2010; Shintake et al., 2008). A multitude of experiments have successfully demonstrated that this new generation of light sources provides unprecedented insight into structural dynamics in various condensed-matter systems (Chergui & Collet, 2017; Alonso-Mori et al., 2015; Abela et al., 2017; Chollet et al., 2015; Clark et al., 2013; Först et al., 2013; Chen et al., 2016). Particularly relevant for the scientific scope of the Femtosecond X-ray Experiments (FXE) instrument are studies focused on tracking correlated electronic and nuclear motion in a strongly nonadiabatic regime during the formation and breaking of chemical bonds, which aim at filming the nuclear motions during chemical reactions with atomic spatial and temporal resolution while tracking the excited-state dynamics of reacting molecules (Mara et al., 2017; Miller et al., 2017; Lemke et al., 2017; Zhang et al., 2014, 2017; van Driel et al., 2016; Shelby et al., 2016; Biasin et al., 2016; Pande et al., 2016; Barends et al., 2015; Kern et al., 2015; Zhang & Gaffney, 2015; Kim et al., 2015; Canton et al., 2015; Levantino et al., 2015; Arnlund et al., 2014).
Since 2017, the European X-ray Free-Electron Laser (EuXFEL) user facility has offered X-ray pulses with the world's highest average et al., 2006), or up to 27000 pulses s−1, which is more than a hundredfold what other FEL facilities can offer. In combination with advanced scientific instrumentation and sample preparation techniques, this unmatched average X-ray opens unprecedented opportunities for the investigation of time-dependent phenomena, such as solution-phase (Mara et al., 2017; Miller et al., 2017; Lemke et al., 2017; Zhang et al., 2014, 2017; van Driel et al., 2016; Shelby et al., 2016; Biasin et al., 2016; Pande et al., 2016; Barends et al., 2015; Kern et al., 2015; Zhang & Gaffney, 2015; Kim et al., 2015; Canton et al., 2015; Levantino et al., 2015; Arnlund et al., 2014) and material science studies on crystalline and non-crystalline samples (Hruszkewycz et al., 2012; Glover et al., 2012; Brown et al., 2015; Ferrer et al., 2015; Gerber et al., 2015; Jiang et al., 2016; Kozina et al., 2017; Mannebach et al., 2017). One example is hard X-ray Raman scattering (XRS): one can seek to use every single X-ray pulse at 4.5 MHz to collect the required statistics, thus obtaining the information content of soft X-ray spectra while maintaining the experimental benefits of hard X-ray techniques (Bergmann et al., 2002; Szlachetko et al., 2017). Moreover, the high enables time-resolved studies on very dilute solutions, a typical challenge for biologically relevant systems. The scientific instrument FXE is designed to advance into this uncharted territory, utilizing hard X-rays to make fs-resolved `molecular movies' of ensuing nuclear and electronic dynamics while exploiting the facility's uniquely high average (Bressler et al., 2012).
due to its superconducting accelerator that allows for a remarkably high 4.5 MHz repetition rate pulse pattern – and its delivery of up to 2700 intense, ultrashort, transversely coherent X-ray pulses per second in 10 Hz bursts (Altarelli2. Overview of the scientific instrument FXE
The FXE instrument is located at the end of the 915 m-long SASE1 beamline and consists of a dedicated undulator section and X-ray photon transport tunnel to guide the X-ray beam to the experimental hall (see Section 3 for a detailed description). The end-station successfully started user operation in September 2017. Similar to other instruments focused on time-resolved studies at existing X-ray FEL (XFEL) sources (Chergui & Collet, 2017; Alonso-Mori et al., 2015; Abela et al., 2017; Chollet et al., 2015), FXE uses ultrafast optical laser pulses to generate transient states while the X-ray pulses probe their dynamical evolution. The FXE optical laser is a dedicated high-power system that has been developed to serve the EuXFEL facility (see Section 5 for details): it is synchronized to the unique X-ray pulse train pattern (burst mode) and can also accommodate the highest repetition rate of 4.5 MHz in burst mode (Palmer et al., 2019). Thus, the laser pulse pattern follows the time structure of X-ray pulses delivered by the XFEL. The laser system is also tunable across the UV–visible up to near-IR range and delivers 15 fs-long pulses at 800 nm. In addition, a commercial fiber-based MHz laser system is available, but with less pulse intensity (20 µJ at 1030 nm) and longer pulse widths (∼300 fs FWHM).
For probing the transient structures, a versatile suite of instrumentation with different and complementary X-ray techniques is available. A dispersive X-ray emission spectrometer, based on a von Hamos design previously implemented at the Linear Coherent Light Source (Alonso-Mori et al., 2015), can be utilized in combination with different X-ray detectors, operating at either 10 Hz (inter-train) or sub-MHz (intra-train) repetition rates. These include CCD cameras (GreatEyes Company), the Jungfrau 2D (with 75 µm pixels) (Redford et al., 2018) or the Gotthard 1D strip (50 µm pitch) detectors (Mozzanica et al., 2012). The von Hamos spectrometer allows for tracking of ultrafast changes in the electronic structure around a selected atom in the sample by recording the corresponding X-ray emission spectra (thus element-specific with fs time resolution). For X-ray solution scattering (XSS) or X-ray diffraction (XRD), which are the dominant techniques for probing concomitant structural changes, the Large Pixel Detector (LPD) (Hart et al., 2012) is used. Further instrumentation, as described below, allows use of the and techniques, including in the future XRS, for structural dynamics research. In comparison with similar time-resolved end-stations at other XFEL facilities, the main differences in instrumentation concern the materials and concepts used for design of the beamline components, which have to withstand the high heat load induced by the intense X-ray beam. Furthermore, substantially faster sample delivery/exchange is implemented to operate reliably with the newly developed optical pump laser at X-ray pulse repetition rates of up to 4.5 MHz (Altarelli et al., 2006). In this article the scientific instrument FXE and its current performance status are presented in detail.
3. X-ray beam transport and X-ray pulse structure
The SASE1 undulator serves as the source of hard X-ray radiation (Sinn et al., 2019). Its variable gap structure makes it possible to generate 5–20 keV radiation without changing the electron beam energy. Up to 35 undulators, each 5 m long (and with a 4 cm pole period and K parameters of 1.65–3.9), can be inserted to drive the stimulated emission into saturation (Abeghyan et al., 2019). Currently, the source provides 1–1.5 mJ pulse energy at 9.3 keV, but the design goal will eventually cover all energies in the 5–20 keV range, with pulse energies above 4 mJ expected (Abeghyan et al., 2019; Grünert, 2019).
The X-ray beam exits the undulator with a divergence of around 2 µrad (at 10 keV), which delivers a fluence at the exit that is too large for any X-ray optics to withstand the high heat load. This is only possible more than 200 m from the source, where consequently the first optical elements in the tunnel are installed: 230 m from the undulator exit a ten-element compound refractive lens (CRL) system for beam collimation is placed, which allows the X-ray beam to be fully placed on the three mirrors along the beam path (especially the most distant one, M3, see Fig. 1), and thus to transport the entire available X-ray into the FXE experiment hutch.
Imagers along the beam path allow the beam position and profile to be monitored over the entire tunnel length (Grünert, 2019). The X-ray beam is guided through both offset mirrors and one deflection mirror (Sinn, 2019) into the optics branch of the FXE instrument. At the end of the photon transport tunnel, the front-end shutter of FXE is located right before the FXE experiment hutch.
The X-ray pulses delivered by the EuXFEL are not evenly distributed but follow a structure of pulse trains, so-called bursts, at 10 Hz, with each train consisting of 1–2700 pulses. The temporal length of the burst is defined by the duration of the accelerator radiofrequency (RF) pulses, with a maximum train duration of 0.6 ms (Fig. 2). As a consequence, 2700 pulses can be delivered by the machine at a pulse repetition rate of 4.5 MHz. Smaller intra-train repetition rates of e.g. 1.125 MHz or less can be achieved at the expense of the number of total pulses available in a single train; at 1.125 MHz, this amounts to 675 pulses, while at 376 kHz to only 225 pulses (see Fig. 2). In addition, these pulses have to be distributed among all three SASE beamlines, which could limit the available number of X-ray pulses for each experiment to 900 at 4.5 MHz. Details of the pulse distribution scheme are currently under investigation, and the facility aims to offer a most flexible electron bunch filling pattern for each of the three undulators. At present, 120 pulses per pulse train are routinely offered at the SASE1 instruments, each separated by 889 ns (or 1.125 MHz intra-train repetition rate); however, more pulses will become available over the course of next year, eventually reaching 2700 pulses at 4.5 MHz.
4. Overview of the FXE experimental hutch
The experimental hutch of the scientific instrument FXE consists of three main parts: the 8 m-long optics branch (OPT in the right part of the FXE area in Fig. 3), the sample environment (S) in the center, including the robot arm mounted on a steel tower and two secondary spectrometers (central part of the FXE area in Fig. 3) as well as the LPD (Hart et al., 2012), and the post-sample diagnostics branch (left part of the FXE area in Fig. 3). The FXE instrument is designed to permit simultaneous usage of the spectrometers near the sample position and the LPD behind it, in pump–probe geometry and dominantly under ambient conditions (helium atmosphere).
The instrument design seeks to maintain a flexible sample environment, with space available around the sample for desired modifications or additions. Therefore, the e.g. a small goniometer for solid samples. A particular design aim is to facilitate liquid sample investigations, where the liquid flows through high-speed jets that can contain solvated chemicals or dissolved nanoparticles.
detectors are mounted on an inverted robot arm, hanging from a vibrationally stabilized robot tower. A motorized sample stack goniometer is placed 40 cm below the X-ray beam axis, allowing for the inclusion of additional equipment,4.1. FXE optics branch
A Si(111) monochromator is installed 10 m upstream from the FXE photon beam tunnel transport wall (inside the tunnel). Its four-bounce geometry conserves the same X-ray beam axis for pink as well as for monochromatic beams. This is an important feature for pump–probe studies utilizing an external optical laser for sample excitation. Downstream from the monochromator, a retractable beam splitter (diamond grating) can send the main beam together with both −1st- and +1st-order diffracted beams into the optics branch (OPT in Fig. 3; also Fig. 4) of the FXE instrument. These diffracted beams are used for a curved crystal based single-shot spectrum analyzer (SpA) and a foil-based time arrival detector (TAD), respectively, to determine the spectrum of every single shot and the relative arrival time of each X-ray pulse with respect to the optical laser pulse, respectively. Moreover, the optical branch contains several diagnostics and beam shaping components on two optical granite tables: three beam imaging units (BIUs), two power slit systems (PS1 and PS2), each slit capable of withstanding the unattenuated X-ray beam, a solid attenuator assembly (SAA), and ten-element Be-lens focusing optics (CRLs).
The transmission of the entire beamline from source to end has been determined to be >70%, after optimization of the components in the tunnel, mainly three horizontally deflecting mirrors and the collimating Be-lens stack, and those in the optics branch.
In the following sections we will describe the characteristics and performance of a few components of the FXE instrument during the commissioning in 2018.
4.1.1. Beam imaging units and single-shot intensity position monitor
The FXE instrument is equipped with four identical BIUs, three in the optics branch before the sample and one in the post-sample diagnostics branch. They are designed for visual imaging of the spatial distribution of the incoming X-ray beam intensity using visible emission from either a Ce-doped YAG crystal (Ce:YAG) for single-bunch or low-intensity operation, or a thin polycrystalline diamond for burst-mode operation or when high transmission is desired. Each BIU is equipped with a motorized water-cooled copper rod supporting up to four different targets for beam visualization. Currently, both YAG and diamond targets have a thickness of 50 µm; the extra two could either be spares of the same YAG/diamond and different thickness or be made of different materials (e.g. BN, ceramic) suitable for higher energy or full burst mode at 4.5 MHz. The targets are tilted by 45° with respect to the X-ray beam propagation direction, and the visible emission is collected by a CCD camera parallel to the targets under 90° to the X-ray beam, synchronized to the 10 Hz pulse train. In this configuration the BIUs have a resolution of approximately 25 µm pixel−1, which is sufficient for good diagnostics of the unfocused beam (or slightly focused in the case of BIU3).
Two intensity and position monitors (IPMs), one schematically shown in Fig. 5, are included upstream and downstream of the sample position to enable reproducible X-ray beam propagation through the FXE instrument. Both IPMs are equally equipped with retractable diamond screens and four silicon diodes picking up scattered X-rays (dominated by Compton scattering) as well as fluorescence photons, since the avalanche photodiodes (APDs) operate without optical shielding. Because of the arrangement of diodes in quadrants, the horizontal as well as vertical beam position can be determined from the difference signal, while the total signal is proportional to the pulse energy. The is extended (by about a factor of ten) by a linear translation stage, which enables different screen–detector distances. This addition is different to the otherwise similar design at other FEL facilities (Feng et al., 2011; Chollet et al., 2015). The screens are made of 15 µm-thick nanocrystalline diamond (grain size < 50 nm). The choice of detectors includes either APDs or PIN diodes, Hamamatsu S8664-1010 or S3590-09, respectively, with 10 × 10 mm sensor size and mounted in backscattering geometry. The resulting electronic signal is capacitively coupled into a fast 12-bit analog-to-digital converter (ADC) (SP devices ADQ412). Commonly, bias voltages of 200 V are applied to the APDs, and a signal with sub-200 ns FWHM temporal response is measured, enabling the read-out of single X-ray pulse energies up to more than 1.1 MHz repetition rates. The integrated signals from each APD allow calculation of the beam position from the normalized difference of opposite APDs, while their sum is proportional to the pulse energy. The spatial information is calibrated by comparison with the beam position on a BIU, while deliberately sweeping the beam over the active area. The resolution of a similar device was shown to be better than 5 µm by moving the diodes inside the IPM on an absolute scale (Feng et al., 2011). Fig. 6 shows experimental results from the device, monitoring the horizontal position of each X-ray pulse (9.3 keV) in consecutive trains at 1.1 MHz. Horizontal inter-train pointing jitter amounts to 130 µm (FWHM), whereas intra-train jitter is only 27 µm, for a horizontal beam size of 230 µm (FWHM). In the vertical plane (data not shown), the inter- and intra-train jitter have equal amplitudes of 50 µm with a vertical beam size of 700 µm. This result confirms the overall superior intra-train beam stability of 12% (horizontal) and 7% (vertical) of the respective beam sizes.
The information from the IPM is also used for normalization of detector data and as a feedback signal acting on the pitch of the last deflecting X-ray mirror (M3) in the photon tunnel in order to compensate for slower drifts of the X-ray beam on the scale of seconds to hours.
4.1.2. Beam-splitting diamond grating
A retractable beam splitter in the form of a grooved diamond grating is installed 8 m upstream of the first component in the FXE optics branch, thus inside and near the end of the SASE1 tunnel section. The unit can support up to four gratings, which can be exchanged according to the experiment needs including diffraction efficiency, beam separation and X-ray energy. The gratings are made of diamond with 10 µm thickness and are supported by a silicon frame. Currently, we have three diamond gratings installed, one with 150 nm pitch and two with 200 nm pitch, that were manufactured by the group of C. David from the X-ray Optics and Applications Group in the Laboratory for Micro- and Nanotechnology of the Paul Scherrer Institut in Switzerland.
In Fig. 7 (left), we show the expected beam separation between the main beam and the +1st and −1st diffracted beams in the operational energy range of FXE, at the position of BIU1 on the FXE optics branch. On the right side, an image of the 0th, 1st and −1st order of the 9.3 keV X-ray beam diffracted by one of the 150 nm-pitch diamond gratings as detected by BIU1 is shown. The separation between the 0th and the +/−1st order is around 270 pixels.
With a conversion factor of roughly 25 µm/pixel, this corresponds to an estimated separation of around 6.7 mm at the position of BIU1. The beam splitter can serve different diagnostic components, such as the SpA (see Section 7.1) or the TAD (Section 7.2), and is also used at other FEL facilities (Rich et al., 2016; Makita et al., 2015; Katayama et al., 2016; Rehanek et al., 2017).
4.1.3. Compound refractive lenses for beam focusing
The lens stack of FXE (Fig. 8) comprises 70 beryllium lenses with 1.5 and 3 mm apertures, distributed on ten arms with up to ten lenses on each arm.
This arrangement permits us to focus all X-ray energies from 5 to 20 keV onto the sample, which is located 5 m downstream, when we also use the 50 cm translation stroke of the entire Be-lens chamber. The effective aperture (Lengeler et al., 1999) defined by the geometry of the lens and its wavelength-dependent X-ray absorption is around 1 mm over the 5–20 keV wavelength range. The performance of this device, in terms of focusing capabilities, is discussed in more detail in Section 6 (Fig. 14).
4.2. Sample interaction area
The FXE instrument is very flexible in terms of sample environment. The sample interaction point is centered on top of a ten-axis sample stage from Huber (gray component in the center of Fig. 9) and a tower (blue, right in Fig. 9) that supports a robot arm (Stäubli, orange in Fig. 9) holding several different detectors. These detectors are mainly for secondary spectroscopy purposes in contrast to LCLS, which uses this configuration mainly for forward-scattering detectors (Chollet et al., 2015). Connected to the sample-mounting stack (SMS) are two high-energy-resolution X-ray spectrometers, one operating in dispersive mode (von Hamos, right in Fig. 9) and the other in scanning mode (Johann, left in Fig. 9). The spectrometers can be rotated around the sample, allowing for spectroscopic experiments in different geometries.
Further downstream, the LPD can be placed as close as 60 mm from the sample interaction point, which enables collection of scattering up to about 65° without shadowing. Alternatively, the LPD can be placed as far as about 7 m from the sample interaction point. The LPD is mounted on a granite block equipped with three independent motorized stages; the translation along the beam direction has a 1.5 m range. The whole LPD mount moves via air pads and can be easily aligned due to the presence of docking stations along the beam propagation direction.
4.2.1. Liquid jet sample environment
Experiments with liquid samples greatly benefit from the capabilities provided by FXE and the high repetition rate of the EuXFEL. In order to provide a flexible environment for liquid samples, a universal support was designed which is capable of holding several different jets, as well as beam characterization and diagnostics (YAG or diamond screens, timing diodes, pinholes, laser beam profiler etc.), at the sample position. This support is shown schematically in Fig. 10. It is designed such that any jet mount or alternatively beam characterization/diagnostics is placed at the same distance from the support edge, maintaining the beam–sample interaction point to within 10 µm. This facilitates the fast exchange of jets and diagnostics during experiments, while keeping spatial overlap of laser and X-rays, which is of fundamental importance in pump–probe experiments. The support for liquid jets was designed to have a wide opening of almost 180° downstream from the sample, allowing the concomitant use of both X-ray spectrometers and forward-direction scattering without shadowing any of them. The whole support can be covered with thin polymer foils (e.g. Kapton, Mylar), and a gas inlet with fast connector (Festo) can be used to create an inert or protective atmosphere around the liquid jet. On top of the SMS, three independent orthogonal translation stages can be used to further align the liquid jet sample environment onto the X-ray beam.
4.3. with the Large Pixel Detector
The high photon energy, high ) was designed, developed and initially commissioned at the Rutherford Appleton Laboratory, Science and Technology Facilities Council, in Oxford, UK, in collaboration with EuXFEL, strictly following the requirements of the FXE instrument design. The LPD is a hybrid pixel detector with square pixels of 500 µm × 500 µm in size. Each pixel has 512 analog memory cells allowing the storage of up to 510 images recorded with 100 ns integration time at the maximum EuXFEL frame rate of 4.5 MHz. It then transfers these images within 99.6 ms to a data acquisition system, thus operating in a burst mode compatible with the X-ray pulse pattern of the EuXFEL. The LPD provides a of 105 photons at 12 keV enabled by the three parallel gain stages with three gain factors of 1×, 10× or 100× and two preamplifier settings with a 50 pF or 5 pF feedback capacity. The latter provides sub-single-photon noise at 14 keV at the expense of dynamic range.
and high repetition rate capabilities of the EuXFEL machine set demanding requirements for the main scattering and diffraction detector. The LPD (Fig. 11The most appropriate gain factor for each pixel in each image is automatically selected after signal amplification and before data are transferred from the analog memory to the data acquisition system. For photon energies >18 keV, the detector provides single-photon sensitivity at the 3σ level. The 500 µm-thick Si sensor allows for X-ray detection with a >90% in the 5–13 keV photon energy range and approximately 30% at 20 keV. The sensitive area consists of 1024 × 1024 pixels in total, grouped in 256 exchangeable rectangular tiles (128 × 32 pixels, Fig. 12).
These tiles are arranged into mostly independent supermodules consisting of 16 tiles each. Furthermore, the supermodules are grouped into four quadrants that can be moved in an iris-like pattern in the detection plane to form an adjustable square central hole for the direct X-ray beam to pass through to avoid radiation and physical damage. A `veto' capability can reduce the effective detection frame rate based on a configurable `veto' pattern, matching, for example, a sparser pulse structure, or allow one to discard poor images based on an external veto signal. Real-time diagnostic devices can, for example, provide such an external veto signal to improve the overall number of good quality images transmitted to the data acquisition system. In particular, when the total number of pulses per burst exceeds the 510 available memory cells, the veto mechanism allows detection and storage of a maximum number of good images. Raw images are corrected on a per-pixel, per-memory-cell and per-gain basis for offset and relative gain. A geometric correction of the relative pixel positions based on photographic metrology data is available. GPU-based corrections have been implemented for online feedback, and can handle image rates of up to 256 Mpixel images per second (Hauf et al., 2019; Fangohr et al., 2018). The respective calibration parameters were established after delivery of the LPD to EuXFEL and are stored in the calibration database; corrections from earlier set points can be reapplied to the raw data upon request and are resolved by detector operating conditions (Kuster et al., 2014). A full set of calibration parameters for LPD consists of billions of parameters, totaling approximately 40 GByte in size.
4.4. X-ray emission spectroscopy with an energy-dispersive spectrometer
FXE was designed to be equipped with two independent high-energy-resolution X-ray spectrometers, one operating in dispersive mode in a von Hamos geometry (von Hámos, 1932) and the other in scanning mode with curved crystals in Johann geometry (Bergmann & Cramer, 1998). Both X-ray spectrometers are based on designs already implemented at many synchrotrons and other FELs (Szlachetko et al., 2012; Alonso-Mori et al., 2012, 2015; Britz et al., 2016). Here, we describe the dispersive-type spectrometer, which is based on the von Hamos geometry.
The von Hamos spectrometer (VHS) at FXE has a multi-crystal design, containing up to 16 cylindrically bent curved analyzer crystals with 500 mm radius (Fig. 13). Each crystal can be individually rotated with very high resolution around a horizontal and a vertical rotation axis in its diffraction plane by means of three stepper motors arranged in a triangular pattern. Each crystal can easily be removed and re-installed by a magnetic coupling, allowing for very fast and reproducible changes in the analyzer configuration. The VHS spectrometer is attached to the SMS and has ten three motorized orthogonal rotations and translations, and a manual translation (Fig. 9). The entire VHS system can be rotated around the SMS vertical axis by a large rotation stage, allowing spectroscopic experiments in different geometries. The complete VHS can be operated in air; or, alternatively, a helium atmosphere enclosed in a flexible container with thin windows transparent to X-rays can be used to minimize attenuation by the air path sample VHS detector. The operation and performance of von Hamos spectrometers regarding energy resolution and signal quality, including on FEL time-resolved experiments, have already been covered in several publications and will not be described here (Szlachetko et al., 2012, 2017; Alonso-Mori et al., 2012; Britz et al., 2016).
5. FXE optical laser systems
Several pulsed optical laser beams synchronized to the burst-mode sequence of X-ray pulses are available for experiments. The lasers are located in different rooms in close vicinity to the X-ray hutch (Fig. 3) in order to keep laser path lengths reasonably short as well as to permit work on these systems even when X-rays in the experiment hutch prohibit access (to that room).
While the EuXFEL laser system is situated in the larger laser hutch (LAS in Fig. 3), the commercial Tangerine laser is located in the FXE instrument laser hutch (ILH in Fig. 3). This allows users to choose between different beams with different properties (wavelength, pulse duration). The currently tested wavelengths are summarized in Table 1. More conversion components (e.g. TOPAS) will be installed soon, which will further increase the available wavelengths, with the goal of eventually serving the entire 200–2000 nm range. THz radiation is also on the upgrade program and will add to the available portfolio of laser wavelengths.
‡A 50 fs bandwidth-limited option is under preparation. |
6. Performance status of FXE
The FXE instrument has served early users since September 2017, while constantly improving its conditions and components for time-resolved investigations with fs resolution. In this section, we demonstrate the current status of this scientific instrument, by showing key properties and measurements. Time-resolved studies require unique measurement conditions in order to achieve high-quality data with fs resolution. Specific experimental parameters, instrumentation and procedures that play a key role are the spot sizes of the laser and X-ray pulses, their stability, achieving spatial and temporal overlap of both pules at the sample position, the sample environment itself, online analysis tools, and the measurement protocol, including possible reference samples.
As the spot size of the X-ray beam in laser pump–X-ray probe measurements needs to be smaller than the laser spot size in order to probe a uniformly excited sample volume, a first requirement is a tunable, small X-ray focus. At FXE, the X-ray beam from the source is collimated with a set of Be lenses 215 m from the source (Fig. 1) and focused with another set of Be lenses (located 5 m upstream from the sample) onto the sample (Fig. 8). Caustic scans around the sample position yield about 10 µm focal spot sizes in both horizontal and vertical directions (Fig. 14, here for 14 keV radiation). Typically, the laser is then focused to a slightly bigger spot size on the sample, around 50–150 µm. Given these focal sizes for different target systems, different strategies are pursued in order to ensure that each, or a specific number of, pump–probe shots illuminates a fresh sample.
At FXE, liquids can be supplied by micro-jet systems. The fastest jet flow speeds can be reached with round jets (Fig. 15), and, currently for the routinely used 100 µm-diameter nozzles, flow speeds of about 30 m s−1 can be achieved with a laminar flow. Thus, a combination of a 50 µm laser spot and a 564 kHz repetition rate of the FEL will guarantee that every pump–probe shot will interact with a fresh sample volume. For solid-state samples, a sample scanning procedure is implemented; the solid-state target is subject to a raster scan with each spot on the target exposed to a limited number of pump–probe exposures. To illuminate a fresh spot on the solid-state target, step sizes for the raster scan have to be sufficiently large. For successful sample motion to X-ray arrival synchronization, an X-ray pulse train on demand functionality is used that only allows the illumination of a sample after it has reached its designated position.
Another important parameter is the spatial stability of both the X-ray and laser beams at the sample position. A detailed discussion of the X-ray beam stability at FXE is given in Section 4.1.1 for the IPM. Information on the beam position from the BIUs or the IPM is automatically fed back to the piezo motors of M3, correcting spatial drifts on timescales longer than 2 s. The stability of the optical laser beams will be further controlled by temperature-stabilizing beam path enclosures. The strategy to achieve the spatial overlap between the X-ray and laser pulses is based on first imaging the relative positions of both beams on a YAG screen at the sample position. Subsequently the laser beam is adjusted to the X-ray position on the YAG by a stepper-motor-controlled mirror in the laser beam path. The coarse temporal overlap (∼100 ps) between the X-ray and laser pulses is achieved by recording the temporal signature of both pulses at the sample position using a fast photodiode, Hamamatsu GE 4176, with a rise time of circa 30 ps. A Tektronix oscilloscope is used to monitor the relative timing of the pulses. Up to now, the pump–probe laser is synchronized via a RF setup. RF frequencies of the accelerator's master oscillator serve as reference signals. The phase of the optical pump laser is then shifted to adjust the relative timing between the laser and the X-ray pulses. A more accurate determination of time-zero, currently around 300 fs, is done on the signal from the sample or a reference sample. In this case, the time-resolved signal is used as a figure of merit for both temporal and spatial overlap optimizations. For fast and reliable alignment, well-known calibration samples can be used to pre-adjust temporal and spatial overlap before introducing the user sample.
This alignment procedure is illustrated in Fig. 16 for the case of a 15 mM solution of FeII(bpy)32+ (bpy = bipyridine) in acetonitrile. Once the static emission signal from the reference sample is found, the horizontal and vertical positions of the last mirror in the optical laser beam path are scanned while the transient pump–probe signal is recorded, as illustrated in Figs. 16(a)–16(b). The maximum of the transient signal marks optimal spatial overlap of the laser and the X-ray beams. The phase shifter of the optical laser is then scanned to accurately determine time-zero as shown in Figs. 16(c)–16(d).
7. Upcoming FXE components
In the FXE optics branch, there are still components in the early stages of commissioning, which we describe below.
7.1. Spectrum analyzer
The SpA will resolve the et al., 2012; Makita et al., 2015; Rich et al., 2016; Rehanek et al., 2017; Boesenberg et al., 2017). The SpA consists of curved, thin, single crystals of Si(111), Si(110), Ge(110) (100 µm) or diamond/CVD foil and a 1D strip detector (Gotthard) as illustrated in Fig. 17(a). The crystals are mounted on a temperature-stabilized copper holder with five movement in and out of the X-ray beam, to the center of the X-ray beam, and to the center of the detector rotation as well as tilting and Bragg-angle rotation. The convex bent crystals spectrally disperse the first-order diffracted X-ray beam from the upstream diamond grating onto the detector. The size of the impinging X-ray beam and the curvature of the crystal define the theoretical recordable energy window. In conjunction with a second SpA downstream of the sample (also to be commissioned), it will be possible to carry out self-normalized X-ray absorption measurements.
of the pink beam. Its operating principle is based on a dispersive diffraction setup (ZhuNote that, given the high X-ray transmission, the SpA can be operated in parallel with actual measurements at the sample position. The device is capable of recording a shot-to-shot dispersed incident SASE spectrum at 564 kHz at the moment, where the repetition rate limit is imposed by the Gotthard detector read-out speed (limited to 0.8 MHz). The example of a SASE spectrum at the nominal central wavelength of E0 = 9.3 keV dispersed onto the Gotthard detector using a Ge(220) bent crystal is shown in Fig. 17(b).
7.2. Timing tool
The TAD measures the relative time delay (or time arrival) between the synchronized optical laser and X-ray FEL pulses. This measurement has to be performed for each incident optical laser and X-ray pulse to allow jitter-corrected shot-to-shot pump–probe experiments. In principle, three methods can be employed: spatial, spectral and interferometric encoding. An extensive review of each of these techniques and a conceptual design of temporal diagnostics devices that are potentially feasible at FXE can be found in the work of Harmand et al. (2013), Hartmann et al. (2014), Schulz et al. (2015) and Katayama et al. (2016). The mechanical design of the TAD chamber at FXE is described in detail in the Technical Design Report for FXE (Bressler et al., 2012). Early commissioning measurements are presented in Fig. 18. For all subfigures the vertical axis is merely showing subsequent trains of pulses at shot 50, while the x axis is simply the dispersive axis of a spectrometer used to capture the time arrival signal. A detailed analysis and thus implementation into the data stream of FXE is ongoing.
7.3. Solid-state sample environment
Experiments on solid-state samples can be performed at FXE in air as well as in vacuum. A Kappa goniometer is the common sample stage for in-air experiments, such as grazing-incidence diffraction. It is shown schematically in Fig. 19 and is commonly installed onto the SMS (Fig. 9). Besides the choice of arbitrary incidence angles ω, φ and χ, it enables sample translation over a 50 × 50 mm range to avoid sample damage issues. During translation, the sample surface must stay in the interaction volume of pump and probe beams. In particular, in grazing-incidence experiments close to the total reflection angle, spatial inhomogeneities in sample height must be compensated with micrometre accuracies. This is achieved by optical distance measurements and a mechanical compensation strategy. In the case of oxygen-sensitive samples, He purging is employed.
A small and versatile vacuum chamber is available at FXE, which can be used for XSS, XRD, , where an off-center geometry is depicted, which is ideal for scattering and simultaneous emission spectroscopy experiments. Polycrystalline or amorphous samples can be mounted on fast translation axes to enable sample scanning in transmission geometry. Instead of the sample scanner, a helium cryostat can be installed in the chamber to enable experiments at temperatures between 4 and 400 K. The optical pump laser is injected into the vacuum either through an angled viewport (at roughly 25° to the X-rays or through the main beam-pipe, at an angle of 4° to the X-rays). Up to six motorized stages can be installed in the chamber; the default configuration is two translation stages for sample frames and two translation stages for the beamstop. Options for an in-vacuum goniometer are under investigation, but specific solutions can be realized by combination of commercial rotation and translation stages operated with stepper motors.
and measurements. It is shown schematically in Fig. 197.4. X-ray emission spectroscopy: Johann scanning spectrometer
Next to the dispersive (von Hamos) ), the FXE instrument is also equipped with another point-to-point scanning X-ray spectrometer based on the Johann geometry. These types of devices have been successfully used in the synchrotron/FEL community, and most utilize the arrangement employing multiple bent crystal analyzers pioneered by Bergmann & Cramer (1998). The Johann scanning spectrometer (JSS) at FXE is equipped with five spherical analyzer crystals (Si and Ge) that can be independently moved with four for fine alignment and during the energy scans (see Fig. 20). The typical analyzer radius is 1 m; however, the design permits the use of crystals with variable radii between 1.0 and 2.0 m, the former increasing the solid-angle coverage and the latter favoring a higher resolution according to the experimental needs. Similar to the dispersive spectrometer, the JSS is directly connected to the SMS and can be rotated along the sample vertical axis using air pads. Additionally, the air pads permit one to move the entire granite block holding the JSS and, in particular, away from the sample interaction region for those experiments requiring more available space near the sample position.
spectrometer already described (see Section 4.47.5. Avoiding collisions for the six-axis robot arm
The six-axis robot is needed to align the X-ray emission detectors to the correct emission energy. This requires – especially for the Johann spectrometer – a combined movement of both the analyzing crystals and the X-ray emission detector during a given X-ray emission scan. This poses stringent conditions on the space the robot can occupy without damaging any ancillary equipment (e.g. the sample mount, the LPD forward-scattering detector etc). Additional safety measures must be put in place if the robot is going to be used via remote control, e.g. scanning positions during an experiment. These constraints require a low-level equipment protection system to be in place that can sense and stop the robot immediately if collision is going to occur. Unfortunately, such a low-level equipment protection is not practical on its own, as it can block the instrument during a scan without any corrective measure. Therefore, we need an additional special tool that checks the feasibility of movements beforehand and enables the execution of the permitted movements during the desired experimental scan. Hence, the complete trajectory of the required motions is verified beforehand against collision. This can be implemented in Karabo control software (Hauf et al., 2019; Heisen et al., 2013) by connecting to a Virtual Beamline Simulator which checks for collisions in 3D (du Boulay et al., 2008; Atkinson et al., 2009). Note that not only can physical collisions be prevented this way, but blockage of the detector view (e.g. shadowing of the effective scattering cone) can also be avoided. For a proper use, the instrumentation including the robot and its axes must be properly calibrated and positioned in the virtual reality (Brockhauser et al., 2011; White et al., 2018), which will happen during the next commissioning phase.
8. Conclusions
The scientific instrument FXE is designed to permit a range of versatile experiments with optical pump and X-ray FEL radiation probe pulses, aiming to explore structural and electronic dynamics with fs time resolution. All equipment is now in place and pink beam experiments have been carried out since its inauguration in September 2017. Commissioning results show that we can perform experiments with 300 fs time resolution, which should improve following full implementation of the time arrival detector that will measure the relative arrival time between both pulses to better than 50 fs. Using the Be-lens optics, X-ray focal spot sizes of about 10 µm can be achieved routinely and can be conveniently overfilled with the optical laser pump pulses. The remaining equipment described in Section 5 is currently under commissioning, and FXE should become fully operational in 2019.
Acknowledgements
Most of the instrumentation shown here was designed and fabricated by JJ X-ray, Denmark, and we are grateful to Christian Mammen and his colleagues for their dedicated efforts throughout the past six years of this project. We thank Martin Meedom Nielsen who was vital in all early design steps of the scientific instrument FXE. Pieter Glatzel and David Fritz advised us on important aspects of the overall design, together with the FXE Advisory Review Team (ART) of the Scientific Instrument FXE; Pieter also aided us in using his Johann spectrometer design at ID26/ESRF, and Uwe Bergmann and Roberto Alonso Mori gave us all details of their 16-element von Hamos spectrometer. Christian David helped us with the diamond beam splitter, and Kay Ebbesen synthesized within his bachelor thesis reference samples we used to establish our first pump–probe signals at FXE. Kai Tiedtke and Stephan Klumpp, together with Andreij Sorokin from DESY, provided us with their compact X-ray gas monitor, which was cross calibrated with the bolometer Takahiro Tanaka provided from AIST, Japan. We are grateful for the fruitful collaboration with and vital help from other EuXFEL groups: instrument control via the novel control system Karabo was programmed by the Control and Analysis Software (CAS) Group, the integration of motor control hardware and MHz digitizing schemes was implemented by the Advanced Electronics (AE) group led by Patrick Gessler, data transfer and storage were delivered by the Information Technology and Data Management (ITDM) group led by Krzysztof Wrona. The X-ray beam transport and characterization were developed by the X-ray Optics (XRO) group led by Harald Sinn and the X-ray Photon Diagnostics (XPD) group led by Jan Grünert. We thank the Optical Lasers (LAS) group led by Max Lederer for the implementation of the EuXFEL pump–probe laser system, and the Detector Development (DET) group for providing the LPD. The photon commissioning team led by Harald Sinn guided the first FEL beam through their entire X-ray beam transport section, which was a prerequisite for us to introduce the first X-ray beam into our experiment hutch.
Funding information
The following funding is acknowledged: Horizon 2020 (grant No. 654220). This work was funded by the European XFEL GmbH. Portions of the work relating tp liquid jets and timing tool strategies were funded by EUCALL/PUCCA.
References
Abeghyan, S., Bagha-Shanjani, M., Chen, G., Englisch, U., Karabekyan, S., Li, Y., Preisskorn, F., Wolff-Fabris, F., Wuenschel, M., Yakopov, M. & Pflueger, J. (2019). J. Synchrotron Rad. 26, 302–310. Web of Science CrossRef CAS IUCr Journals Google Scholar
Abela, R., Beaud, P., van Bokhoven, J. A., Chergui, M., Feurer, T., Haase, J., Ingold, G., Johnson, S. L., Knopp, G., Lemke, H., Milne, C. J., Pedrini, B., Radi, P., Schertler, G., Standfuss, J., Staub, U. & Patthey, L. (2017). Struct. Dyn. 4, 061602. Web of Science CrossRef PubMed Google Scholar
Ackermann, W. et al. (2007). Nat. Photon. 1, 336–342. Web of Science CrossRef Google Scholar
Alonso-Mori, R., Kern, J., Sokaras, D., Weng, T.-C., Nordlund, D., Tran, R., Montanez, P., Delor, J., Yachandra, V. K., Yano, J. & Bergmann, U. (2012). Rev. Sci. Instrum. 83, 073114. Web of Science PubMed Google Scholar
Alonso-Mori, R., Sokaras, D., Zhu, D., Kroll, T., Chollet, M., Feng, Y., Glownia, J. M., Kern, J., Lemke, H. T., Nordlund, D., Robert, A., Sikorski, M., Song, S., Weng, T.-C. & Bergmann, U. (2015). J. Synchrotron Rad. 22, 612–620. Web of Science CrossRef CAS IUCr Journals Google Scholar
Altarelli, M., Brinkmann, R., Chergui, M., Decking, W., Dobson, B., Düsterer, S. & Yurkov, M. (2006). Technical Design Report DESY 2006-097. European XFEL, Hamburg, Germany. Google Scholar
Arnlund, D., Johansson, L. C., Wickstrand, C., Barty, A., Williams, G. J., Malmerberg, E., Davidsson, J., Milathianaki, D., DePonte, D. P., Shoeman, R. L., Wang, D., James, D., Katona, G., Westenhoff, S., White, T. A., Aquila, A., Bari, S., Berntsen, P., Bogan, M., van Driel, T. B., Doak, R. B., Kjaer, K. S., Frank, M., Fromme, R., Grotjohann, I., Henning, R., Hunter, M. S., Kirian, R. A., Kosheleva, I., Kupitz, C., Liang, M., Martin, A. V., Nielsen, M. M., Messerschmidt, M., Seibert, M. M., Sjöhamn, J., Stellato, F., Weierstall, U., Zatsepin, N. A., Spence, J. C. H., Fromme, P., Schlichting, I., Boutet, S., Groenhof, G., Chapman, H. N. & Neutze, R. (2014). Nat. Methods, 11, 923–926. Web of Science CrossRef CAS PubMed Google Scholar
Atkinson, I., du Boulay, D., Brockhauser, S., McMullen, D., Quilici, R., Sharpe, A. & Turner, P. (2009). Comput. Methods Sci. Technol. 15, 75–82. CrossRef Google Scholar
Barends, T., Foucar, L., Ardevol, A., Nass, K., Aquila, A., Botha, S., Doak, R. B., Falahati, K., Hartmann, E., Hilpert, M., Heinz, M., Hoffmann, M. C., Kofinger, J., Koglin, J. E., Kovacsova, G., Liang, M., Milathianaki, D., Lemke, H. T., Reinstein, J., Roome, C. M., Shoeman, R. L., Williams, G. J., Burghardt, I., Hummer, G., Boutet, S. & Schlichting, I. (2015). Science, 350, 445–450. Web of Science CrossRef CAS PubMed Google Scholar
Bergmann, U. & Cramer, S. P. (1998). Proc. SPIE, 3448, 198–209. CrossRef CAS Google Scholar
Bergmann, U., Glatzel, P. & Cramer, S. (2002). Microchem. J. 71, 221–230. Web of Science CrossRef CAS Google Scholar
Biasin, E., van Driel, T., Kjaer, K., Dohn, A., Christensen, M., Harlang, T., Chabera, P., Liu, Y., Uhlig, J., Pápai, M., Németh, Z., Hartsock, R., Liang, W., Zhang, J., Alonso-Mori, R., Chollet, M., Glownia, J. M., Nelson, S., Sokaras, D., Assefa, T. A., Britz, A., Galler, A., Gawelda, W., Bressler, C., Gaffney, K. J., Lemke, H. T., Møller, K. B., Nielsen, M. M., Sundström, V., Vankó, G., Wärnmark, K., Canton, S. E. & Haldrup, K. (2016). Phys. Rev. Lett. 117, 013002. Web of Science CrossRef PubMed Google Scholar
Boesenberg, U., Samoylova, L., Roth, T., Zhu, D., Terentyev, S., Vannoni, M., Feng, Y., van Driel, T. B., Song, S., Blank, V., Sinn, H., Robert, A. & Madsen, A. (2017). Opt. Express, 25, 2852–2862. Web of Science CrossRef CAS PubMed Google Scholar
Boulay, D. du, Brockhauser, S., Chee, C., Chiu, K., Devadithya, T., Leow, R. & Turner, P. (2008). Int. J. Online Eng. 4, 5–11. Google Scholar
Bressler, C., Gawelda, W. & Galler, A. (2012). Technical Design Report EU TR-2012-008. European XFEL, Hamburg, Germany. Google Scholar
Britz, A., Assefa, T. A., Galler, A., Gawelda, W., Diez, M., Zalden, P., Khakhulin, D., Fernandes, B., Gessler, P., Sotoudi Namin, H., Beckmann, A., Harder, M., Yavas, H. & Bressler, C. (2016). J. Synchrotron Rad. 23, 1409–1423. Web of Science CrossRef IUCr Journals Google Scholar
Brockhauser, S., White, K. I., McCarthy, A. A. & Ravelli, R. B. G. (2011). Acta Cryst. A67, 219–228. Web of Science CrossRef CAS IUCr Journals Google Scholar
Brown, C., Gericke, D., Cammarata, M., Cho, B., Döppner, T., Engelhorn, K., Förster, E., Fortmann, C., Fritz, D., Galtier, E., Glenzer, S. H., Harmand, M., Heimann, P., Kugland, N. L., Lamb, D. Q., Lee, H. J., Lee, R. W., Lemke, H., Makita, M., Moinard, A., Murphy, C. D., Nagler, B., Neumayer, P., Plagemann, K., Redmer, R., Riley, D., Rosmej, F. B., Sperling, P., Toleikis, S., Vinko, S. M., Vorberger, J., White, S., White, T. G., Wünsch, K., Zastrau, U., Zhu, D., Tschentscher, T. & Gregori, G. (2015). Sci. Rep. 4, 5214. Web of Science CrossRef Google Scholar
Calegari, F., Sansone, G., Stagira, S., Vozzi, C. & Nisoli, M. (2016). J. Phys. B At. Mol. Opt. Phys. 49, 062001. Web of Science CrossRef Google Scholar
Canton, S. E., Kjaer, K. S., Vankó, G., van Driel, T. B., Adachi, S., Bordage, A., Bressler, C., Chabera, P., Christensen, M., Dohn, A. O., Galler, A., Gawelda, W., Gosztola, D., Haldrup, K., Harlang, T., Liu, Y., Møller, K. B., Németh, Z., Nozawa, S., Pápai, M., Sato, T., Sato, T., Suarez-Alcantara, K., Togashi, T., Tono, K., Uhlig, J., Vithanage, D. A., Wärnmark, K., Yabashi, M., Zhang, J., Sundström, V. & Nielsen, M. M. (2015). Nat. Commun. 6, 6359. Web of Science CrossRef PubMed Google Scholar
Chen, F., Zhu, Y., Liu, S., Qi, Y., Hwang, H., Brandt, N., Lu, J., Quirin, F., Enquist, H., Zalden, P., Hu, T., Goodfellow, J., Sher, M., Hoffmann, M. C., Zhu, D., Lemke, H., Glownia, J., Chollet, M., Damodaran, A. R., Park, J., Cai, Z., Jung, I. W., Highland, M. J., Walko, D. A., Freeland, J. W., Evans, P. G., Vailionis, A., Larsson, J., Nelson, K. A., Rappe, A. M., Sokolowski-Tinten, K., Martin, L. W., Wen, H. & Lindenberg, A. M. (2016). Phys. Rev. B, 94, 180104. Web of Science CrossRef Google Scholar
Chergui, M. & Collet, E. (2017). Chem. Rev. 117, 11025–11065. Web of Science CrossRef CAS PubMed Google Scholar
Chergui, M. & Zewail, A. H. (2009). ChemPhysChem, 10, 28–43. Web of Science CrossRef PubMed CAS Google Scholar
Chollet, M., Alonso-Mori, R., Cammarata, M., Damiani, D., Defever, J., Delor, J. T., Feng, Y., Glownia, J. M., Langton, J. B., Nelson, S., Ramsey, K., Robert, A., Sikorski, M., Song, S., Stefanescu, D., Srinivasan, V., Zhu, D., Lemke, H. T. & Fritz, D. M. (2015). J. Synchrotron Rad. 22, 503–507. Web of Science CrossRef CAS IUCr Journals Google Scholar
Clark, J., Beitra, L., Xiong, G., Higginbotham, A., Fritz, D., Lemke, H., Zhu, D., Chollet, M., Williams, G. J., Messerschmidt, M., Abbey, B., Harder, R. J., Korsunsky, A. M., Wark, J. S. & Robinson, I. K. (2013). Science, 341, 56–59. Web of Science CrossRef CAS PubMed Google Scholar
Driel, T. B. van, Kjaer, K. S., Hartsock, R. W., Dohn, A. O., Harlang, T., Chollet, M. L., Christensen, M., Gawelda, W., Henriksen, N. E., Kim, J. G., Haldrup, K., Kim, K. H., Ihee, H., Kim, J., Lemke, H., Sun, Z., Sundström, V., Zhang, W., Zhu, D., Møller, K. B., Nielsen, M. M. & Gaffney, K. J. (2016). Nat. Commun. 7, 13678. Web of Science PubMed Google Scholar
Emma, P. et al. (2010). Nat. Photon. 4, 641–647. Web of Science CrossRef CAS Google Scholar
Fangohr, H., Beg, M., Bondar, V., Boukhelef, D., Brockhauser, S., Danilevski, C., Ehsan, W., Esenov, S. G., Flucke, G., Giovanetti, G., Goeries, D., Hauf, S., Heisen, B., Hickin, D. G., Khakhulin, D., Klimovskaia, A., Kuster, M., Lang, P. M., Maia, L., Mekinda, T., Michelat, A., Parenti, G., Previtali, H., Santos, A., Silenzi, J., Sztuk-Dambietz, J., Szuba, M., Teichmann, K., Weger, J., Wiggins, K., Wrona, L., Xu, C., Aplin, S., Barty, A., Kuhn, M., Mariani, V. & Kluyver, T. (2018). Proceedings of the 16th International Conference on Accelerator and Large Experimental Control Systems (ICALEPCS'17), 8–13 October 2017, Barcelona, Spain, pp. 245–252. TUCPA01. Google Scholar
Feng, Y., Feldkamp, J. M., Fritz, D. M., Cammarata, M., Robert, A., Caronna, C., Lemke, H. T., Zhu, D., Lee, S., Boutet, S., Garth, W., Tono, K., Yabashi, M. & Hastings, J. B. (2011). Proc. SPIE, 8140, 8140OQ Google Scholar
Ferrer, A., Johnson, J., Huber, T., Mariager, S., Trant, M., Grübel, S., Zhu, D., Chollet, M., Robinson, J., Lemke, H. T., Ingold, G., Milne, C., Staub, U., Beaud, P. & Johnson, S. L. (2015). Appl. Phys. Lett. 106, 154101. Web of Science CrossRef Google Scholar
Först, M., Mankowsky, R., Bromberger, H., Fritz, D., Lemke, H., Zhu, D., Chollet, M., Tomioka, Y., Tokura, Y., Merlin, R., Hill, J. P., Johnson, S. L. & Cavalleri, A. (2013). Solid State Commun. 169, 24–27. Google Scholar
Gallmann, L., Cirelli, C. & Keller, U. (2012). Annu. Rev. Phys. Chem. 63, 447–469. Web of Science CrossRef CAS PubMed Google Scholar
Gerber, S., Kim, K., Zhang, Y., Zhu, D., Plonka, N., Yi, M., Dakovski, G. L., Leuenberger, D., Kirchmann, P. S., Moore, R. G., Chollet, M., Glownia, J. M., Feng, Y., Lee, J. S., Mehta, A., Kemper, A. F., Wolf, T., Chuang, Y. D., Hussain, Z., Kao, C. C., Moritz, B., Shen, Z. X., Devereaux, T. P. & Lee, W. S. (2015). Nat. Commun. 6, 7377. Web of Science CrossRef PubMed Google Scholar
Glover, T., Fritz, D., Cammarata, M., Allison, T., Coh, S., Feldkamp, J., Lemke, H., Zhu, D., Feng, Y., Coffee, R. N., Fuchs, M., Ghimire, S., Chen, J., Shwartz, S., Reis, D. A., Harris, S. E. & Hastings, J. B. (2012). Nature, 488, 603–608. Web of Science CrossRef CAS PubMed Google Scholar
Grünert, J., Carbonell, M. P., Dietrich, F., Falk, T., Freund, W., Koch, A., Kujala, N., Laksman, J., Liu, J., Maltezopoulos, T., Tiedtke, K., Jastrow, U. F., Sorokin, A., Syresin, E., Grebentsov, A. & Brovko, O. (2019). J. Synchrotron Rad. 26, 1422–1431. CrossRef IUCr Journals Google Scholar
Hámos, L. von (1932). Naturwissenschaften, 20, 705–706. Google Scholar
Harmand, M., Coffee, R., Bionta, M. R., Chollet, M., French, D., Zhu, D., Fritz, D. M., Lemke, H. T., Medvedev, N., Ziaja, B., Toleikis, S. & Cammarata, M. (2013). Nat. Photon. 7, 215–218. Web of Science CrossRef CAS Google Scholar
Hart, M., Angelsen, C., Burge, S., Coughlan, J., Halsall, R., Koch, A. & Wing, M. (2012). IEEE Nucl. Sci. Symp. Med. Imaging Conf. Rec. pp. 534–537. Google Scholar
Hartmann, N., Helml, W., Galler, A., Bionta, M. R., Grünert, J., Molodtsov, S. L., Ferguson, K. R., Schorb, S., Swiggers, M. L., Carron, S., Bostedt, C., Castagna, J.-C., Bozek, J., Glownia, J. M., Kane, D. J., Fry, A. R., White, W. E., Hauri, C. P., Feurer, T. & Coffee, R. N. (2014). Nat. Photon. 8, 706–709. Web of Science CrossRef CAS Google Scholar
Hauf, S., Heisen, B., Aplin, S., Beg, M., Bergemann, M., Bondar, V., Boukhelef, D., Danilevsky, C., Ehsan, W., Essenov, S., Fabbri, R., Flucke, G., Marsa, D. F., Goeries, D., Giovanetti, G., Hickin, D., Jarosiewicz, T., Kamil, E., Khakhulin, D., Klimovskaia, A., Kluyver, T., Kririenko, Y., Kuhn, M., Maia, L., Mamchyk, D., Mariani, V., Mekinda, L., Michelat, T., Muennich, A., Padee, A., Parenti, A., Santos, H., Silenzi, A., Teichmann, M., Weger, K., Wiggins, J., Wrona, K., Xu, C., Youngman, C., Zhu, J., Fangohr, H. & Brockhauser, S. (2019). J. Synchrotron Rad. 26, 1448–1461. CrossRef IUCr Journals Google Scholar
Heisen, B., Boukhelef, D., Esenov, S., Hauf, S., Kozlova, I., Maia, L., Parenti, A., Szuba, J., Weger, K., Wrona, K. & Youngman, C. (2013). 14th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS2013), 6–11 October 2013, San Francisco, CA, USA. FRCOAAB02. Google Scholar
Hruszkewycz, S., Sutton, M., Fuoss, P., Adams, B., Rosenkranz, S., Ludwig, K., Roseker, W., Fritz, D., Cammarata, M., Zhu, D., Lee, S., Lemke, H., Gutt, C., Robert, A., Grübel, G. & Stephenson, G. B. (2012). Phys. Rev. Lett. 109, 185502. Web of Science CrossRef PubMed Google Scholar
Jiang, M. P., Trigo, M., Savić, I., Fahy, S., Murray, É. D., Bray, C., Clark, J., Henighan, T., Kozina, M., Chollet, M., Glownia, J. M., Hoffmann, M. C., Zhu, D., Delaire, O., May, A. F., Sales, B. C., Lindenberg, A. M., Zalden, P., Sato, T., Merlin, R. & Reis, D. A. (2016). Nat. Commun. 7, 12291. Web of Science CrossRef PubMed Google Scholar
Katayama, T., Owada, S., Togashi, T., Ogawa, K., Karvinen, P., Vartiainen, I., Eronen, A., David, C., Sato, T., Nakajima, K., Joti, Y., Yumoto, H., Ohashi, H. & Yabashi, M. (2016). Struct. Dyn. 3, 034301. Web of Science CrossRef PubMed Google Scholar
Kern, J., Yachandra, V. & Yano, J. (2015). Curr. Opin. Struct. Biol. 34, 87–98. Web of Science CrossRef CAS PubMed Google Scholar
Kim, K. H., Kim, J. G., Nozawa, S., Sato, T., Oang, K. Y., Kim, T. W., Ki, H., Jo, J., Park, S., Song, C., Sato, T., Ogawa, K., Togashi, T., Tono, K., Yabashi, M., Ishikawa, T., Kim, J., Ryoo, R., Kim, J., Ihee, H. & Adachi, S. (2015). Nature, 518, 385–389. Web of Science CrossRef CAS PubMed Google Scholar
Kozina, M., van Driel, T., Chollet, M., Sato, T., Glownia, J., Wandel, S., Radovic, M., Staub, U. & Hoffmann, M. C. (2017). Struct. Dyn. 4, 054301. Web of Science CrossRef PubMed Google Scholar
Kuster, M., Boukhelef, D., Donato, M., Dambietz, J.-S., Hauf, S., Maia, L. & Youngman, C. (2014). Synchrotron Radiat. News, 27(4), 35–38. CrossRef Google Scholar
Lambert, W., Felker, P. & Zewail, A. (1981). J. Chem. Phys. 75, 5958–5960. CrossRef CAS Web of Science Google Scholar
Lemke, H. T., Kjaer, K. S., Hartsock, R., van Driel, T. B., Chollet, M., Glownia, J. M., Song, S., Zhu, D., Pace, E., Matar, S. F., Nielsen, M. M., Benfatto, M., Gaffney, K. J., Collet, E. & Cammarata, M. (2017). Nat. Commun. 8, 15342. Web of Science CrossRef PubMed Google Scholar
Lengeler, B., Schroer, C., Tümmler, J., Benner, B., Richwin, M., Snigirev, A., Snigireva, I. & Drakopoulos, M. (1999). J. Synchrotron Rad. 6, 1153–1167. Web of Science CrossRef IUCr Journals Google Scholar
Levantino, M., Schirò, G., Lemke, H. T., Cottone, G., Glownia, J. M., Zhu, D., Chollet, M., Ihee, H., Cupane, A. & Cammarata, M. (2015). Nat. Commun. 6, 6772. Web of Science CrossRef PubMed Google Scholar
Makita, M., Karvinen, P., Zhu, D., Juranic, P. N., Grünert, J., Cartier, S., Jungmann-Smith, J. H., Lemke, H. T., Mozzanica, A., Nelson, S., Patthey, L., Sikorski, M., Song, S., Feng, Y. & David, C. (2015). Optica, 2, 912–916. Web of Science CrossRef Google Scholar
Mancuso, A. P., Aquila, A., Batchelor, L., Bean, R. J., Bielecki, J., Borchers, G., Doerner, K., Giewekemeyer, K., Graceffa, R., Kelsey, O. D., Kim, Y., Kirkwood, H. J., Legrand, A., Letrun, R., Manning, B., Lopez Morillo, L., Messerschmidt, M., Mills, G., Raabe, S., Reimers, N., Round, A., Sato, T., Schulz, J., Signe Takem, C., Sikorski, M., Stern, S., Thute, P., Vagovič, P., Weinhausen, B. & Tschentscher, T. (2019). J. Synchrotron Rad. 26, 660–676. Web of Science CrossRef CAS IUCr Journals Google Scholar
Mannebach, E., Nyby, C., Ernst, F., Zhou, Y., Tolsma, J., Li, Y., Sher, M. J., Tung, I. C., Zhou, H., Zhang, Q., Seyler, K. L., Clark, G., Lin, Y., Zhu, D., Glownia, J. M., Kozina, M. E., Song, S., Nelson, S., Mehta, A., Yu, Y., Pant, A., Aslan, O. B., Raja, A., Guo, Y., DiChiara, A., Mao, W., Cao, L., Tongay, S., Sun, J., Singh, D. J., Heinz, T. F., Xu, X., MacDonald, A. H., Reed, E., Wen, H. & Lindenberg, A. M. (2017). Nano Lett. 17, 7761–7766. Web of Science CrossRef CAS PubMed Google Scholar
Mara, M. W., Hadt, R. G., Reinhard, M. E., Kroll, T., Lim, H., Hartsock, R. W., Alonso-Mori, R., Chollet, M., Glownia, J. M., Nelson, S., Sokaras, D., Kunnus, K., Hodgson, K. O., Hedman, B., Bergmann, U., Gaffney, K. J. & Solomon, E. I. (2017). Science, 356, 1276–1280. Web of Science CrossRef CAS PubMed Google Scholar
Miller, N. A., Deb, A., Alonso-Mori, R., Garabato, B. D., Glownia, J. M., Kiefer, L. M. & Miller, N. A. (2017). J. Am. Chem. Soc. 139, 1894–1899. Web of Science CrossRef CAS PubMed Google Scholar
Mozzanica, A., Bergamaschi, A., Dinapoli, R., Graafsma, H., Greiffenberg, D., Henrich, B., Johnson, I., Lohmann, M., Valeria, R., Schmitt, B. & Xintian, S. (2012). J. Instrum. 7, C01019. Web of Science CrossRef Google Scholar
Palmer, G., Kellert, M., Wang, J., Emons, M., Wegner, U., Kane, D., Pallas, F., Jezynski, T., Venkatesan, S., Rompotis, D., Brambrink, E., Monoszlai, B., Jiang, M., Meier, J., Kruse, K., Pergament, M. & Lederer, M. J. (2019). J. Synchrotron Rad. 26, 328–332. Web of Science CrossRef CAS IUCr Journals Google Scholar
Pande, K., Hutchison, C. D., Groenhof, G., Aquila, A., Robinson, J. S., Tenboer, J., Basu, S., Boutet, S., DePonte, D. P., Liang, M., White, T. A., Zatsepin, N. A., Yefanov, O., Morozov, D., Oberthuer, D., Gati, C., Subramanian, G., James, D., Zhao, Y., Koralek, J., Brayshaw, J., Kupitz, C., Conrad, C., Roy-Chowdhury, S., Coe, J. D., Metz, M., Xavier, P. L., Grant, T. D., Koglin, J. E., Ketawala, G., Fromme, R., rajer, V., Henning, R., Spence, J. C. H., Ourmazd, A., Schwander, P., Weierstall, U., Frank, M., Fromme, P., Barty, A., Chapman, H. N., Moffat, K., van Thor, J. J. & Schmidt, M. (2016). Science, 352, 725–729. Web of Science CrossRef CAS PubMed Google Scholar
Redford, S., Andrä, M., Barten, R., Bergamaschi, A., Brückner, M., Dinapoli, R., Fröjdh, E., Greiffenberg, D., Lopez-Cuenca, C., Mezza, D., Mozzanica, A., Ramilli, M., Ruat, M., Ruder, C., Schmitt, B., Shi, X., Thattil, D., Tinti, G., Vetter, S. & Zhang, J. (2018). J. Instrum. 13, C01027. Web of Science CrossRef Google Scholar
Rehanek, J., Makita, M., Wiegand, P., Heimgartner, P., Pradervand, C., Seniutinas, G., Flechsig, U., Thominet, V., Schneider, C. W., Fernandez, A. R., David, C., Patthey, L. & Juranić, P. (2017). J. Instrum. 12, P05024. Google Scholar
Rich, D., Zhu, D., Turner, J., Zhang, D., Hill, B. & Feng, Y. (2016). J. Synchrotron Rad. 23, 3–9. Web of Science CrossRef CAS IUCr Journals Google Scholar
Schulz, S., Grguraš, I., Behrens, C., Bromberger, H., Costello, J. T., Czwalinna, M. K., Felber, M., Hoffmann, M. C., Ilchen, M., Liu, H. Y., Mazza, T., Meyer, M., Pfeiffer, S., Prędki, P., Schefer, S., Schmidt, C., Wegner, U., Schlarb, H. & Cavalieri, A. L. (2015). Nat. Commun. 6, 5938. Web of Science CrossRef PubMed Google Scholar
Shelby, M., Lestrange, P., Jackson, N., Haldrup, K., Mara, M., Stickrath, A., Zhu, D., Lemke, H. T., Chollet, M., Hoffman, B. M., Li, X. & Chen, L. X. (2016). J. Am. Chem. Soc. 138, 8752–8764. Web of Science CrossRef CAS PubMed Google Scholar
Shintake, T. et al. (2008). Nat. Photon. 2, 555–559. Web of Science CrossRef CAS Google Scholar
Sinn, H., Dommach, M., Dickert, B., Di Felice, M., Dong, X., Eidam, J., Finze, D., Freijo-Martin, I., Gerasimova, N., Kohlstrunk, N., La Civita, D., Meyn, F., Music, V., Neumann, M., Petrich, M., Rio, B., Samoylova, L., Schmidtchen, S., Störmer, M., Trapp, A., Vannoni, M., Villanueva, R. & Yang, F. (2019). J. Synchrotron Rad. 26, 692–699. Web of Science CrossRef CAS IUCr Journals 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
Szlachetko, J., Nachtegaal, M., Grolimund, D., Knopp, G., Peredkov, S., Czapla–Masztafiak, J. & Milne, C. J. (2017). Appl. Sci. 7, 899. Web of Science CrossRef Google Scholar
Ullrich, J., Rudenko, A. & Moshammer, R. (2012). Annu. Rev. Phys. Chem. 63, 635–660. Web of Science CrossRef CAS PubMed Google Scholar
White, K. I., Bugris, V., McCarthy, A. A., Ravelli, R. B. G., Csankó, K., Cassetta, A. & Brockhauser, S. (2018). J. Appl. Cryst. 51, 1421–1427. Web of Science CrossRef CAS IUCr Journals Google Scholar
Zewail, A. (2000). J. Phys. Chem. A, 104, 5660–5694. Web of Science CrossRef CAS Google Scholar
Zhang, W., Alonso-Mori, R., Bergmann, U., Bressler, C., Chollet, M., Galler, A., Gawelda, W., Hadt, R. G., Hartsock, R. W., Kroll, T., Kjaer, K. S., Kubiček, K., Lemke, H. T., Liang, H. W., Meyer, D. A., Nielsen, M. M., Purser, C., Robinson, J. S., Solomon, E. I., Sun, Z., Sokaras, D., van Driel, T. B., Vankó, G., Weng, T. C., Zhu, D. & Gaffney, K. J. (2014). Nature, 509, 345–348. Web of Science CrossRef CAS PubMed Google Scholar
Zhang, W. & Gaffney, K. (2015). Acc. Chem. Res. 48, 1140–1148. Web of Science CrossRef CAS PubMed Google Scholar
Zhang, W., Kjaer, K., Alonso-Mori, R., Bergmann, U., Chollet, M., Fredin, L., Hadt, R. G., Hartsock, R. W., Harlang, T., Kroll, T., Kubiček, K., Lemke, H. T., Liang, H. W., Liu, Y., Nielsen, M. M., Persson, P., Robinson, J. S., Solomon, E. I., Sun, Z., Sokaras, D., van Driel, T. B., Weng, T. C., Zhu, D., Wärnmark, K., Sundström, V. & Gaffney, K. J. (2017). Chem. Sci. 8, 515–523. Web of Science CrossRef CAS PubMed Google Scholar
Zhu, D., Cammarata, M., Feldkamp, J. M., Fritz, D. M., Hastings, J. B., Lee, S., Lemke, H. T., Robert, A., Turner, J. L. & Feng, Y. (2012). Appl. Phys. Lett. 101, 034103. Web of Science CrossRef 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.