Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

# Split-pulse X-ray photon correlation spectroscopy with seeded X-rays from X-ray laser to study atomic-level dynamics

## Abstract

With their brilliance and temporal structure, X-ray free-electron laser can unveil atomic-scale details of ultrafast phenomena. Recent progress in split-and-delay optics (SDO), which produces two X-ray pulses with time-delays, offers bright prospects for observing dynamics at the atomic-scale. However, their insufficient pulse energy has limited its application either to phenomena with longer correlation length or to measurement with a fixed delay-time. Here we show that the combination of the SDO and self-seeding of X-rays increases the pulse energy and makes it possible to observe the atomic-scale dynamics in a timescale of picoseconds. We show that the speckle contrast in scattering from water depends on the delay-time as expected. Our results demonstrate the capability of measurement using the SDO with seeded X-rays for resolving the dynamics in temporal and spatial scales that are not accessible by other techniques, opening opportunities for studying the atomic-level dynamics.

## Introduction

Since the observation of X-ray speckles using coherent X-rays1, scientists have developed a speckle-based technique called X-ray Photon Correlation Spectroscopy (XPCS), where the temporal correlation of speckle patterns is used to extract dynamics of materials at specific correlation lengths2,3,4,5. Earlier XPCS studies using synchrotron X-rays primarily focused on determining dynamics on relatively longer length-scales (>10 nm)6,7,8,9,10,11. Only a few studies have recently been carried out at the atomic-scales, although the timescale is limited to relatively slow dynamics (>10 s)12,13,14. Extending the timescale of XPCS to picoseconds, which are relevant to studying the atomic-level dynamics in matter such as liquid, has been challenging because of the insufficient intensity of coherent X-rays and the limited frame-rate of detectors (typically < 1 kHz). Meanwhile, recent progress in high-energy-resolution inelastic X-ray and neutron scattering has extended their accessible timescale and its applications15,16. Nevertheless, their timescale and length-scale are not appropriate for probing the atomic-level dynamics in a wide timescale of picoseconds to nanoseconds due to the limitation in energy resolution and intensity. Accordingly, the atomic-level dynamics in liquids, particularly supercooled liquids, remains elusive.

The advent of X-ray free-electron lasers (XFELs)17,18, together with recent progress in split-and-delay optics (SDO)19,20, has raised the expectation for bridging the aforementioned gap by extending the timescale of XPCS to picoseconds21. In this timescale, measuring the time-correlation of each speckle is not practical because of the intrinsic limitation on the temporal resolution of X-ray detectors as well as the repetition rate of the XFELs. This limitation is overcome by a split-and-delay approach21,22, which uses two X-ray pulses that are generated from a single XFEL pulse. The accessible timescale is determined by the ability to generate two pulses separated in time Δt. The contrast β(Q, Δt) at momentum transfer Q in the sum of speckle scattering patterns from a sequence of two separate X-ray pulses is analyzed to extract the information on dynamics by the Speckle Visibility Spectroscopy (SVS)23,24, utilizing the relationship between β(Q, Δt) and the intermediate scattering function, f(Q, Δt)20,22,25,26,27. Recently, SVS using X-ray pulses with variable pulse duration has been demonstrated for the femtoseconds dynamics in supercooled water without using SDOs28, and accelerator-based double X-ray pulse generations29,30 are also accomplished; however, their pulse duration or time delay is restricted either to a limited range of orders of femtosecond or to discrete steps of hundreds of picoseconds. Alternatively, in an SDO system, a single XFEL pulse is divided into two pulses by a beam splitter, and a delay time between the pulses is controlled by their path length difference. Hard X-ray SDO systems have hitherto been developed19,31,32,33,34, and a few experimental results using the SDO have been reported20,35. However, their application was still limited to a longer length-scale (>1 nm) and the study of atomic-level dynamics at sub-nm scale using X-ray SVS (XSVS) with an SDO has not been reported because of the insufficient pulse energy of X-rays.

Here, we report the XSVS result utilizing the SDO combined with the self-seeded X-rays36 at SPring-8 Angstrom Compact free-electron Laser (SACLA)18. The self-seeding of X-rays36,37,38 generates narrow-band X-rays and thus can provide higher X-ray intensity after passing through the SDOs. The increase in the X-ray pulse energy at the sample position enables the application of XSVS at high Q (>1 Å−1), which is relevant to the study of atomic-level dynamics.

## Results

### Statistics of self-seeded X-rays after the SDO

The XSVS experiment was carried out using the setup shown in Fig. 1. A reflection self-seeding36 at a photon energy of 10 keV was employed. Each X-ray pulse was then split into two sub-pulses using a wavefront-division SDO, making use of Si(220) crystals31. The delay time Δt between the sub-pulses was controlled by the path length difference between the variable-delay branch and the fixed-delay branch. We changed Δt between 0 and 2 ps, although the accessible range of Δt is much longer31. The pulse energy of the variable-delay branch (Idelayed) and the fixed-delay branch (Ifixed) were monitored by the beam intensity monitors, which were installed in the split-delay optics system39. The exit beams were overlapped and focused to a size of 0.7 µm (H) and 0.9 µm (V) at the sample position with X-ray mirrors40.

Figure 2a shows the histogram of X-ray pulse energy at the sample position, Itot = Idelayed + Ifixed. The dashed line is a fit to the experimental data using a gamma density-distribution function41:

$$P\left( {I_{{\mathrm{tot}}}} \right) = \left( {\frac{M}{{\left\langle {I_{{\mathrm{tot}}}} \right\rangle }}} \right)^M\frac{{{\mathrm{exp}}\left( { - MI_{{\mathrm{tot}}}/\left\langle {I_{{\mathrm{tot}}}} \right\rangle } \right)I_{{\mathrm{tot}}}^{M - 1}}}{{{\mathrm{{\Gamma}}}(M)}},$$
(1)

where Γ(M) is the gamma function, 〈Itot〉 represents the average X-ray pulse energy over shots, and M is the number of modes. Our analysis yields 〈Itot〉 = 7.7 μJ and M = 2.24, which is close to the values at the Linac Coherent Light Source (USA) using 8 keV X-rays (M = 2.35)35. The energy bandwidth of single-shot self-seeded X-ray (~2 eV in FWHM) improved the throughput of the SDO system, compared to the case using only self-amplified spontaneous emission (SASE), where the averaged bandwidth is ~30 eV and 〈Itot〉 = 0.38 µJ31. This significant improvement facilitates the XSVS at high Q, where the probabilities of multiple photons per pixel events can be too low to conduct the XSVS. The split ratio, R = Ifixed/(Ifixed + Idelayed), was distributed shot-by-shot, and 13% of the total events satisfy the condition of the ratio of 0.475 < R < 0.525 (Fig. 2b). This distribution originated from shot-to-shot variations in the profile and position of the incident X-ray beam.

In our experiment, a continuous stream of water with a flow rate of 0.7 mL/min was irradiated by the X-rays. The diameter of the water stream was 50 µm, much larger than the variation in the beam position at the sample during the experiment, as shown in Fig. 2c, d. The time-courses of the X-ray beam position clarify that the absolute position of the X-ray beam on the sample, X and Y, drifted ~ 2 µm in 3 h. However, the relative position between two sub-pulses, ∆X and ∆Y, remained stable enough to assume that the two sub-pulses overlapped with each other on the sample. This high stability of the SDO system is a crucial factor for carrying out the XSVS experiment successfully. The scattering from the sample was recorded by three multi-port charge-coupled devices (MPCCDs)42 located 1 m downstream of the sample to cover Q-ranges shown in Fig. 3. The speckle size is estimated to be around 0.18 mm, which is larger than the pixel size of the MPCCDs, 50 µm.

### X-ray scattering of water using the SDO and seeded X-rays

Figure 3a shows an example of raw CCD images taken around Q = 2 Å−1 with Itot = 3.3 µJ. Because of the low-scattering cross-section of water, the signal produced by photons is sparsely distributed. Figure 3c shows a one-dimensional scattering intensity profile, which was averaged over 35,899 shots, the averaged pulse energy of which was 7.9 µJ. A droplet algorithm43,44,45,46 was employed to convert raw data into the digitized X-ray photon images (see “Methods”). The number of photons at each pixel per shot was 0.64 times the estimated value that was calculated using the result of high-energy X-ray diffraction47. This discrepancy could originate from the limited alignment accuracy, ~20 µm, of the sample position relative to the X-ray beam, hence a smaller irradiated volume. The result shows that the observed X-ray intensities predominantly represent scattering from the water.

We now discuss the sample heating induced by the first sub-pulse. Because of the high-pulse energy, the sample temperature may have risen before the second sub-pulse hit the sample. Using the sample thickness, X-ray pulse energy, the specific heat of water, and the transmission of water at 10 keV, the temperature rise can be estimated to be several hundred Kelvin, depending on Ifixed. To evaluate the possible heating effect, we binned our data based on Ifixed and Δt and then analyzed the scattering intensity around Q = 2 Å−1 (Fig. 4a). When the delay time is zero or small (<0.2 ps), the intensity profiles remain the same regardless of Ifixed. However, with a longer delay time and higher Ifixed, the peak shift to high Q is observed as shown in Fig. 4b. Using the temperature dependence of peak position47, we estimated the amount of temperature rise ∆T, as shown in Fig. 4c. Note that the observed scattering intensity profile is the sum of the two scattering intensity profiles, the one from the fixed-delay branch at t = 0 and the other from the variable delayed branch at t = Δt. Thus, the actual temperature rise can be twice as large as ∆T shown in Fig. 4c. The result shows that there exists a heating effect only after Δt = 0.5 ps with Ifixed < 3 µJ, but is much smaller than the simple estimation. On the other hand, ∆T at 1.0 ps and 2.0 ps shows similar values regardless of Ifixed. X-rays first excite electrons, and the electronic energy is transferred to molecular motion (phonons). The Δt-dependence suggests that the heat dissipation through phonons comes into effect after 1 ps, which calls for further experiments and simulations.

### Speckle contrast analysis

From the statistics of observed photons, the visibility of the X-ray speckle pattern at a specific Q was calculated. Following the previous studies20,27,28,35,43, we assume that the probability for observing k photons at a single-pixel is described by a negative binomial distribution with the average number of photons per pixel, μ, when the number of scattered photons is low41:

$$P\left( {k|\mu ,M_s} \right) = \frac{{{\Gamma}(k + M_s)}}{{{\Gamma}\left( {M_s} \right)k!}}\left( {\frac{{M_s}}{{M_s + \mu }}} \right)^k\left( {\frac{\mu }{{M_s + \mu }}} \right)^{M_s}.$$
(2)

Here, Ms is the number of modes in observed scattering images and is related to β such that β = 1/Ms20,22,43. After we binned our data based on Ifixed as in the last section, we determined the value of β by using the log-likelihood ratio statistic of this distribution as demonstrated in earlier studies20, as shown in Fig. 5. At Q = 2 Å−1 with Ifixed < 3 µJ, as the delay time increased, the visibility of speckle reduces, reflecting the dynamics of the sample. At delay-times longer than Δt = 1.0 ps, the values of β agree with that of the baseline value that was determined by the uncorrelated beams without spatial overlap. The decrease in the contrast is comparable to those calculated from the result of inelastic X-ray scattering (IXS) of water as shown in Fig. 548,49. Here, the result of IXS was vertically shifted and scaled using the baseline value and the XSVS result at Δt = 0. Although the heating effect by the first sub-pulse may affect the dynamics at Δt > 0.5 ps even with Ifixed < 3 µJ, the agreement between the contrast decrease and the IXS result suggests that the data points up to, at least, 0.2 ps with Ifixed < 3 µJ are reliable. This is the first time that the dependence of the speckle contrast on the delay time was measured using an SDO system. On the other hand, the dependence of β(Q = 2 Å−1, Δt) on Ifixed shows no clear decaying behavior for Ifixed > 7 µJ because of the heating effect discussed above. Besides, we could not find a clear decaying behavior at Q = 3 Å−1 or higher even with Ifixed < 3 µJ (Supplementary Fig. S1), presumably due to the smaller number of photons and the additional decoherence at a higher Q, which will be addressed in a future study.

## Discussion

The estimated values of Ms depend on (1) the dynamics of the sample to be obtained, (2) the splitting ratio R, (3) the initial contrast, (4) the contrast reduction due to the experimental setting, and (5) the degree of decoherence between the two split pulses20,22. In this letter, we did not include the data with |R − 0.5| > 0.025 to reduce the uncertainty with respect to (2). We can reasonably assume that the sample thickness involved in the scattering was constant because the shot-by-shot positional fluctuations of X-rays were small (Fig. 2c). Then, the effects of (3) and (4) can be expressed in terms of β, which was estimated to be β0 = 0.23 ± 0.02 at Q = 2 Å−1 by measuring the contrast with a single pulse using only the fixed-delay branch by blocking the variable-delay branch. This value is consistent with the baseline value because the baseline should be β0/220. Meanwhile, the result for dual pulses was β(Q, Δt  = 0) = 0.155 ± 0.023, smaller than β0. This contrast reduction can be reasonably explained by the degree of decoherence between the sub-pulses. The angular mismatch parallel to the detector plane between the sub-pulses50, 0.15 mrad, creates the positional difference between two speckles ~ 0.15 mm on the detector plane, thereby reducing the contrast from 0.23 to ~0.15 ~ β(Q, Δt = 0). Note that the angular mismatch perpendicular to the detector plane can be ignored. The perpendicular component of the mismatch is written as −kiη sin 2θ sin φ + kiO(η2), where ki, η, 2θ, and φ are the magnitude of the wavevector, the angular mismatch, the scattering angle, and the azimuthal angle of the scattering, respectively. In our case, φ= 0 and thus the perpendicular component is kiO(η2), hence it is negligibly small. Shot-to-shot incomplete geometrical overlap of the sub-pulses could reduce the contrast20. The relative positional fluctuations were inherently random as shown in the lower rows of Fig. 2c and cannot be monitored simultaneously during the X-ray SVS measurement. Including these effects in analyses to provide reasonable estimates of decoherence using more sophisticated approaches such as hierarchical models51 warrants future studies. The use of hierarchical models will also allow us to include the data with different R for the estimation, thereby significantly increasing the statistics. This will make it possible to extract meaningful information at higher Q and could facilitate the evaluation of femtoseconds to nanoseconds dynamics at the atomic scale.

The current results indicate that with Ifixed > 3 µJ the XSVS results of water in this Q-range are not reliable because of the sample heating. This does not mean that the increase in the X-ray pulse energy by the self-seeding was unnecessary. The number of shots with 1 < Ifixed < 3 µJ was ~ 65% of the total number of shots. Thus, most of the data were within the range where the heating effect has little effect at a timescale shorter than 0.5 ps. On the other hand, with Ifixed < 1 µJ meaningful estimations of β were not obtained because almost all the photon-counting event is not a multi-photon event but a single-photon event. Without the seeded X-rays, 〈Itot〉 = 0.38 µJ31, and it was impossible to carry out the XSVS at the atomic scale. Our results demonstrate the capability of XSVS measurement using the SDO with seeded X-rays as well as the advantages and necessity of the self-seeded X-rays in the XSVS at high Q.

## Methods

### Self-seeded X-rays

We used an 8-GeV electron beam with a charge of 130 pC and ~10 fs duration for reflection self-seeding36 using a Si(220) microchannel-cut crystal monochromator at SPring-8 Angstrom Compact free-electron Laser (SACLA)18. Eight undulator segments were used to generate the SASE with average pulse energy of 80 µJ, and a channel-cut crystal monochromator was used to select a 10 keV radiation with a bandwidth of 0.6 eV (FWHM). The X-ray was used as a seed, which was amplified by the 13 downstream undulator segments.

### Split-and-delay optics

A wavefront-division SDO using Si(220) crystals was used to split a single pulse into two sub-pulses with a delay time31. The SDO system was installed 70 m downstream from the last undulator segment. Shot-to-shot noninvasive diagnostics of pulse energies for both branches were made using inline diagnostic modules. After propagating through the SDO, the pulse width of X-ray was ~8 fs, which was similar to that of SASE (6–8 fs).

### Experimental setting

The experiment was carried out at BL3, SACLA (Japan). The exit beams from the SDO system were focused on a sample position with a focusing mirror system and hit a water jet. The diameter of the water jet was 50 μm, and the water temperature was 22°C. A CCD was located 0.3 m downstream of the sample for monitoring the overall beam intensity and position in shot-by-shot. Each pulse energy of the sub-pulses was monitored by the intensity monitors39 in the SDO system. The time-courses of the X-ray beam position at the sample position were separately measured by installing another CCD with a magnification system at the sample position. Scattering from the water was recorded using three MPCCDs with a pixel size of 50 µm. The distance between the sample and the detector was 1 m. In this experimental setting, the speckle size on the detector plane is estimated to be 0.18 mm. As suggested by a recent study, an SDO with wavefront division has an intrinsic reduction of speckle contrast due to the difference in the speckle position on the detector plane50. In the current setting, the angular difference between two sub-pulses was expected to be 0.15 mrad, leading to the differences in the speckle positions between two sub-pulses ~0.15 mm on the detector plane, which corresponds to 83% of the speckle size. This angular mismatch would lead to a 74% decrease in speckle contrast. Because the contrast with a single pulse from the fixed-delay branch was 0.23 and that with uncorrelated beam was 0.12, the decreased contrast would be (0.23 – 0.12) × 0.26 + 0.12 = 0.15, which is consistent with the measured values at Δt = 0 ps.

### Data reduction

In a CCD image, the electron charge cloud produced by an X-ray photon spreads over several pixels over the detector. A single 10 keV X-ray photon produces ~590 analog-to-digital units (ADU) on average, but the signal on a pixel is widely distributed due to the charge sharing between neighboring pixels, as shown in the solid line in Fig. 3b. We convert the raw data into the digitized X-ray photon images by using a droplet algorithm43,44,45. The histogram of the signal in a droplet in units of ADU is shown as the dashed line in Fig. 3b. Then, we carried out the photon assignment following a procedure labeled as Greedy Guess46. As discussed in great detail in ref. 46, the photon assignment process involves systematic errors but shows a linear response to contrast changes. In this work, we measured the baseline of the contrast, β0/2, by shifting the beam position such that the two sub-pulses do not overlap with each other. β0 was separately estimated by blocking the variable-delay branch. Then, the measured contrast was compared with these values without further calibration.

## Data availability

Data supporting the findings of this study are available within the article and the supplementary materials, and additional data are available from the corresponding authors upon reasonable request.

## Code availability

The codes supporting the findings of this study are available from the corresponding authors upon reasonable request.

## References

1. 1.

Sutton, M. et al. Observation of speckle by diffraction with coherent X-rays. Nature 352, 608–610 (1991).

2. 2.

Stephenson, G. B., Robert, A. & Grübel, G. Revealing the atomic dance. Nat. Mater. 8, 702–703 (2009).

3. 3.

Madsen, A., Fluerasu, A. & Ruta, B. Structural dynamics of materials probed by X-ray photon correlation spectroscopy. in Synchrotron Light Sources and Free-Electron Lasers (eds Jaeschke, E. J., Khan, S., Schneider, J. R. & Hastings, J. B.) 1617–1641 (Springer, 2016).

4. 4.

Sutton, M. A review of X-ray intensity fluctuation spectroscopy. C. R. Phys. 9, 657–667 (2008).

5. 5.

Grübel, G. & Zontone, F. Correlation spectroscopy with coherent X-rays. J. Alloy. Compd. 362, 3–11 (2004).

6. 6.

Dierker, S. B., Pindak, R., Fleming, R. M., Robinson, I. K. & Berman, L. X-ray photon correlation spectroscopy study of Brownian motion of gold colloids in glycerol. Phys. Rev. Lett. 75, 449–452 (1995).

7. 7.

Thurn-Albrecht, T. et al. Photon correlation spectroscopy of colloidal palladium using a coherent X-Ray beam. Phys. Rev. Lett. 77, 5437–5440 (1996).

8. 8.

Mochrie, S. G. J. et al. Dynamics of block copolymer micelles revealed by X-ray intensity fluctuation spectroscopy. Phys. Rev. Lett. 78, 1275–1278 (1997).

9. 9.

Falus, P., Borthwick, M. A. & Mochrie, S. G. J. Fluctuation dynamics of block copolymer vesicles. Phys. Rev. Lett. 94, 016105 (2005).

10. 10.

Caronna, C., Chushkin, Y., Madsen, A. & Cupane, A. Dynamics of nanoparticles in a supercooled liquid. Phys. Rev. Lett. 100, 055702 (2008).

11. 11.

Shinohara, Y., Kishimoto, H., Yagi, N. & Amemiya, Y. Microscopic observation of aging of silica particles in unvulcanized rubber. Macromolecules 43, 9480–9487 (2010).

12. 12.

Leitner, M., Sepiol, B., Stadler, L.-M., Pfau, B. & Vogl, G. Atomic diffusion studied with coherent X-rays. Nat. Mater. 8, 717–720 (2009).

13. 13.

Ruta, B. et al. Atomic-scale relaxation dynamics and aging in a metallic glass probed by X-ray photon correlation spectroscopy. Phys. Rev. Lett. 109, 165701 (2012).

14. 14.

Ruta, B. et al. Revealing the fast atomic motion of network glasses. Nat. Commun. 5, 3939 (2014).

15. 15.

Baron, A. Q. R. High-resolution inelastic X-ray scattering I: context, spectrometers, samples, and superconductors. in Synchrotron Light Sources and Free-Electron Lasers (eds Jaeschke, E. J., Khan, S., Schneider, J. R. & Hastings, J. B.) 1643–1719 (Springer International Publishing, 2016).

16. 16.

Stone, M. B. et al. A comparison of four direct geometry time-of-flight spectrometers at the spallation neutron source. Rev. Sci. Instrum. 85, 045113 (2014).

17. 17.

Emma, P. et al. First lasing and operation of an ångstrom-wavelength free-electron laser. Nat. Photon 4, 641–647 (2010).

18. 18.

Ishikawa, T. et al. A compact X-ray free-electron laser emitting in the sub-ångström region. Nat. Photon 6, 540–544 (2012).

19. 19.

Osaka, T. et al. Wavelength-tunable split-and-delay optical system for hard X-ray free-electron lasers. Opt. Express 24, 9187 (2016).

20. 20.

Roseker, W. et al. Towards ultrafast dynamics with split-pulse X-ray photon correlation spectroscopy at free electron laser sources. Nat. Commun. 9, 1704 (2018).

21. 21.

Grübel, G., Stephenson, G. B., Gutt, C., Sinn, H. & Tschentscher, T. H. XPCS at the European X-ray free electron laser facility. Nucl. Instrum. Meth. Phys. Res. B 262, 357–367 (2007).

22. 22.

Gutt, C. et al. Measuring temporal speckle correlations at ultrafast X-ray sources. Opt. Express 17, 55 (2009).

23. 23.

Dixon, P. K. & Durian, D. J. Speckle Visibility spectroscopy and variable granular fluidization. Phys. Rev. Lett. 90, 184302 (2003).

24. 24.

Bandyopadhyay, R., Gittings, A. S., Suh, S. S., Dixon, P. K. & Durian, D. J. Speckle-visibility spectroscopy: a tool to study time-varying dynamics. Rev. Sci. Instrum. 76, 093110 (2005).

25. 25.

Inoue, I., Shinohara, Y., Watanabe, A. & Amemiya, Y. Effect of shot noise on X-ray speckle visibility spectroscopy. Opt. Express 20, 26878 (2012).

26. 26.

Li, L. et al. Photon statistics and speckle visibility spectroscopy with partially coherent X-rays. J. Synchrotron Rad. 21, 1288–1295 (2014).

27. 27.

Verwohlt, J. et al. Low dose X-ray speckle visibility spectroscopy reveals nanoscale dynamics in radiation sensitive ionic liquids. Phys. Rev. Lett. 120, 168001 (2018).

28. 28.

Perakis, F. et al. Coherent X-rays reveal the influence of cage effects on ultrafast water dynamics. Nat. Commun. 9, 1917 (2018).

29. 29.

Hara, T. et al. Two-colour hard X-ray free-electron laser with wide tunability. Nat. Commun. 4, 2919 (2013).

30. 30.

Marinelli, A. et al. High-intensity double-pulse X-ray free-electron laser. Nat. Commun. 6, 6369 (2015).

31. 31.

Hirano, T. et al. Performance of a hard X-ray split-and-delay optical system with a wavefront division. J. Synchrotron Rad. 25, 20–25 (2018).

32. 32.

Sakamoto, J. et al. Design of a prototype split-and-delay unit for XFEL pulses, and their evaluation by synchrotron radiation X-rays. J. Synchrotron Rad. 24, 95–102 (2017).

33. 33.

Roseker, W. et al. Performance of a picosecond x-ray delay line unit at 8.39 keV. Opt. Lett. 34, 1768 (2009).

34. 34.

Roseker, W. et al. Development of a hard X-ray delay line for X-ray photon correlation spectroscopy and jitter-free pump–probe experiments at X-ray free-electron laser sources. J. Synchrotron Rad. 18, 481–491 (2011).

35. 35.

Roseker, W. et al. Double-pulse speckle contrast correlations with near Fourier transform limited free-electron laser light using hard X-ray split-and-delay. Sci. Rep. 10, 5054 (2020).

36. 36.

Inoue, I. et al. Generation of narrow-band X-ray free-electron laser via reflection self-seeding. Nat. Photon 13, 319–322 (2019).

37. 37.

Emma, C. et al. Experimental demonstration of fresh bunch self-seeding in an X-ray free electron laser. Appl. Phys. Lett. 110, 154101 (2017).

38. 38.

Amann, J. et al. Demonstration of self-seeding in a hard-X-ray free-electron laser. Nat. Photon 6, 693–698 (2012).

39. 39.

Tono, K. et al. Single-shot beam-position monitor for X-ray free electron laser. Rev. Sci. Instrum. 82, 023108 (2011).

40. 40.

Yumoto, H. et al. Focusing of X-ray free-electron laser pulses with reflective optics. Nat. Photon 7, 43–47 (2013).

41. 41.

Goodman, J. W. Statistical Optics (John Wiley & Sons, 1984).

42. 42.

Kameshima, T. et al. Development of an X-ray pixel detector with multi-port charge-coupled device for X-ray free-electron laser experiments. Rev. Sci. Instrum. 85, 033110 (2014).

43. 43.

Hruszkewycz, S. O. et al. High contrast X-ray speckle from atomic-scale order in liquids and glasses. Phys. Rev. Lett. 109, 185502 (2012).

44. 44.

Chushkin, Y., Caronna, C. & Madsen, A. A novel event correlation scheme for X-ray photon correlation spectroscopy. J. Appl. Cryst. 45, 807–813 (2012).

45. 45.

Livet, F. et al. Using direct illumination CCDs as high-resolution area detectors for X-ray scattering. Nucl. Instrum. Meth. Phys. Res. Sec. A 451, 596–609 (2000).

46. 46.

Sun, Y., Montana-Lopez, J., Fuoss, P., Sutton, M. & Zhu, D. Accurate contrast determination for X-ray speckle visibility spectroscopy. J. Synchrotron Rad. 27, 999–1007 (2020).

47. 47.

Skinner, L. B. et al. Benchmark oxygen-oxygen pair-distribution function of ambient water from X-ray diffraction measurements with a wide Q-range. J. Chem. Phys. 138, 074506 (2013).

48. 48.

Shinohara, Y. et al. Viscosity and real-space molecular motion of water: observation with inelastic X-ray scattering. Phys. Rev. E 98, 022604 (2018).

49. 49.

Iwashita, T. et al. Seeing real-space dynamics of liquid water through inelastic X-ray scattering. Sci. Adv. 3, e1603079 (2017).

50. 50.

Sun, Y. et al. Realizing split-pulse X-ray photon correlation spectroscopy to measure ultrafast dynamics in complex matter. Phys. Rev. Res. 2, 023099 (2020).

51. 51.

Gelman, A. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper). Bayesian Anal. 1, 515–534 (2006).

## Acknowledgements

X-ray scattering work by Y. Shinohara, W.D., C.W.R., and T.E. was supported by U.S. Department of Energy, Office of Science, Office of Basic Energy Science, Division of Materials Sciences and Engineering. Work by T.O. was supported by JSPS KAKENHI (Grant No. 18K18307) and work by I.I. was supported by JSPS KAKENHI (Grant No. 19K20604). The experiments at SACLA were carried out under the approval of JASRI (Proposal Nos. 2018B8041, 2019A8043, and 2019B8011).

## Author information

Authors

### Contributions

Y. Shinohara, T.O., I.I., and T.E. conceived the project. T.O. and I.I. prepared the SDO and self-seeding of X-rays. Y. Shinohara, T.I., W.D., C.W.R., and Y. Sarathchandran carried out the experiments with support by T.O. and I.I. Y. Shinohara analyzed the experimental data. Y. Shinohara, T.O., I.I., and T.E. wrote the paper. All authors reviewed and discussed analysis and the paper.

### Corresponding author

Correspondence to Yuya Shinohara.

## Ethics declarations

### Competing interests

The authors declare no competing interests.

Peer review information Nature Communications thanks Christian Bressler Fivos Perakis and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

## Rights and permissions

Reprints and Permissions

Shinohara, Y., Osaka, T., Inoue, I. et al. Split-pulse X-ray photon correlation spectroscopy with seeded X-rays from X-ray laser to study atomic-level dynamics. Nat Commun 11, 6213 (2020). https://doi.org/10.1038/s41467-020-20036-z

• Accepted:

• Published:

• ### X-ray diffraction analysis of matter taking into account the second harmonic in the scattering of powerful ultrashort pulses of an electromagnetic field

• M. K. Eseev
• A. A. Goshev
• D. N. Makarov

Scientific Reports (2021)

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.