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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2018 Dec 24;116(2):395–400. doi: 10.1073/pnas.1816730116

Imaging electron-density fluctuations by multidimensional X-ray photon-coincidence diffraction

Lyuzhou Ye a,1, Jérémy R Rouxel b,c, Daeheum Cho a, Shaul Mukamel a,d,1
PMCID: PMC6329969  PMID: 30584098

Significance

X-ray diffraction is routinely used to monitor the ground-state electronic charge density of molecules or the motion of nuclei. In this work, we propose a spectroscopic measurement based on multidimensional photon-coincidence X-ray diffraction, which probes the correlation functions of the charge densities in momentum space. The inverse Fourier-transformed signal in real space, which is a combination of correlation functions of transition charge densities, allows us to identify the various scattering pathways that dominate the signal in momentum space and provides most valuable information on spontaneous electronic fluctuations and correlations.

Keywords: X-ray diffraction, photon-coincidence, multidimensional spectroscopy

Abstract

The ultrafast spontaneous electron-density fluctuation dynamics in molecules is studied theoretically by off-resonant multiple X-ray diffraction events. The time- and wavevector-resolved photon-coincidence signals give an image of electron-density fluctuations expressed through the four-point correlation function of the charge density in momentum space. A Fourier transform of the signal provides a real-space image of the multipoint charge-density correlation functions, which reveal snapshots of the evolving electron density in between the diffraction events. The proposed technique is illustrated by ab initio simulations of the momentum- and real-space inelastic scattering signals from a linear cyanotetracetylene molecule.


Time-resolved ultrafast X-ray diffraction is a rapidly developing technique (17). Recent advances include single-molecule diffraction (810) and multiple-photon coincidence detection (11, 12). It is now possible to envision time-resolved detection schemes involving repeated diffraction events on the same single molecule (1316). Such measurements use several X-ray pulses with variable delays, each undergoing a diffraction event, whereby a photon is recorded in momentum space. Multidimensional diffraction signals (MDSs) given by multiple-point correlation functions of the charge-density operator are obtained when the photons are detected in coincidence. The detection of each photon can be described either in momentum space by considering directly the momentum-transfer vector, or in real space by a Fourier transform of the diffraction signal. Multiple photon-counting signals thus combine temporal, spatial, and momentum resolutions to provide valuable information on electronic and structural dynamics.

We shall focus on the 2D signal represented in Fig. 1A. Diffracted photons are recorded for various time delays, thereby directly monitoring the dynamical charge-density fluctuations. Generalization to n-dimensional signals obtained by n diffraction events is straightforward. The first scattering event transfers a momentum q1 to the electrons and brings the molecule into a superposition state that is later detected by the second diffraction process. If the two diffraction events come from different molecules, the signal is independent on the delay and carries no additional information beyond ordinary 1D single diffraction. We are therefore interested in single-molecule contributions whereby the two diffraction events occur with the same molecule. In a system of N molecules, the first contribution which scales as N2 is much stronger than the second contribution that scales as N. In a macroscopic ensemble, multiple diffraction events most likely occur on different molecules. The single-molecule contribution may be isolated by subtracting the two-molecule background (17, 18) which is independent on the time delay. Separating the background is easier in a few-molecule sample (small N). Sensitive detection (19) can be used in single-molecule samples where the two-molecule background does not exist.

Fig. 1.

Fig. 1.

(A) Loop diagram for off-resonant X-ray scattering from a single molecule detected by two-photon coincidence. The molecule is initially in the ground state g. T is the time delay between the two scattering events. (B) Schematic of the two-photon coincidence diffraction process. (C) Chemical structure of cyanotetracetylene (HC8CN) oriented in laboratory frame along x with the ground-state charge density σgg (isovalue of 0.05). The color scheme for the atoms is carbon (gray), hydrogen (white), and nitrogen (blue). (D) Energy levels of the ground (g) and excited (e=1,,10) states.

Imaging atomic-resolution structure and following the dynamics of single molecules are now feasible, thanks to the major advances in X-ray free-electron lasers (17, 2024) and detectors (10, 2527). Sensitive single-photon counting detectors are now available, such as the Jungfrau detector developed by the detector group at the Paul Scherrer Institute (28). Single-molecule multidimensional X-ray diffraction has been proposed recently (14, 15). Here, we demonstrate how this technique may be used to transfer a controlled momentum to a molecule by the first scattering event and is able to detect in real-space correlation functions of the charge density. In the first diffraction event, a momentum q1 is given to the electrons, thereby preparing the molecule in a superposition electronic state. The molecule then evolves freely for a delay T, after which a second diffraction provides a momentum q2 and so forth. This class of signals offers a great wealth of information, and an appropriate representation is needed for displaying them. Here, we develop a mixed momentum-space representation that gives a clear physical insight: The molecular dynamics is followed in real space after a given momentum has been transferred to the electrons. The MDS depends on the momentum transfers and times of all diffraction events (q1,T1,,qn,Tn). As shown in Fig. 1A, two interactions are needed to create each diffracted photon. An n-photon-counting multiple diffraction is given by a 2n correlation functions of charge density in momentum space. The correlation function of the multiple-photon diffraction thus involve an even number of charge densities. Various excitation and detection parameters, such as time, frequency, wavevector, polarization, and phase, can be used as control knobs.

We first introduce the two-photon coincidence signals and then demonstrate the physical insight gained on a linear molecule, cyanotetracetylene. The analysis of the density matrix and the sum-over-states expression for the signal allow us to identify the dominating pathways of the electron-density dynamics in momentum space. The time- and wavevector-resolved signal is obtained by eliminating the elastic scattering contribution. While the signal is highly dependent on the time-evolving charge densities, it is not obvious that the real-space transition charge densities can be recovered from the scattering patterns in momentum space. In this work, we show that the Fourier-transformed signal directly images the charge-density correlations in real space and provides valuable information about the various charge-density pathways between the diffraction events.

The 2D Photon-Coincidence Diffraction

The radiation–matter interaction is given by the minimal-coupling Hamiltonian (2931)

Hint(t)=e2mcdrσ^(r,t)A^2(r,t)drj^(r,t)A^(r,t). [1]

Here, c is the speed of light, and e and m are the electron charge and mass, respectively. σ^ and j^ are the charge and current density operators, respectively, and A^ is the radiation field vector potential. The first term in Eq. 1 dominates off-resonant scattering processes (32), which will be investigated in this work. The second term is responsible for resonant scattering processes and will be neglected hereafter. Anomalous diffraction involving both σ and j interactions occurs in the near-resonant regime (32).

The matrix elements of the charge-density operator for an N-electron system are given by

σij(r)=Ndr2drNΨi*(r,r2,,rN)Ψj(r,r2,,rN), [2]

where Ψi(j)(r,r2,,rN) is the many-electron wavefunction of electronic eigenstate i(j), with r,r2,,rN as the electronic coordinates.

In a 2D coincidence measurement, two temporally well-separated pulses with wavevectors kp1 and kp2 and a delay T=T2T1 are scattered off a single molecule. The scattered X-ray field intensities from the two diffraction events are recorded in coincidence. The process is described by loop diagram (33), as depicted in Fig. 1 A and B. The first diffraction transfers a momentum q1 to the electrons which then evolve freely for a delay period T until the second pulse is diffracted. The two scattered photons are collected in the directions ks1 or ks2. When the molecule is initially in the ground state g, the diffracted signal is given by the sum-over-states expression (15)

S(q1,q2,T)=cdeρggAp1(ωs1+ωcg)Ap1*(ωs1+ωdg)×Ap2(ωs2+ωec)Ap2*(ωs2+ωed)×σcg(q1)σdg*(q1)σec(q2)σed*(q2)eiωcdT. [3]

The indices c, d, and e run over the valence molecular eigenstates, Apj (j=1,2) is the spectral envelope of the j-th incoming pulse, and ωsj is the corresponding detection frequency. σec(qj) is the transition charge density between states e and c with the scattering momentum qj=ksjkpj transferred from the photon to the electrons. σec(qj)=drjeiqjrjσec(rj) is the Fourier transform of σec(r). Eq. 3 shows that the time dependence of the signal originates from electronic coherences during the delay T, while populations contribute to a constant background.

The two-photon coincidence signal can be alternatively displayed in a mixed q1R2 representation obtained by a Fourier transform of Eq. 3 with respect to q2

S(q1,R2,T)=ecdfecd(q1,T)gcgdg(q1)geced(R2). [4]

where gijkl(R2) is the correlation function of transition charge densities in real space

gijkl(R2)=dr2σij(r2)σkl(r2R2), [5]

and gijkl(q1)=σij(q1)σkl*(q1) is defined by the convolution theorem. fecd(q1,T) is a lineshape function

fecd(q1,T)=Ap1(ωs1+ωcg)Ap1*(ωs1+ωdg)×Ap2(ωs2+ωec)Ap2*(ωs2+ωed)eiωcdT. [6]

In a simple picture, when the electronic configurations of two states i and j only differ by two orbitals φa and φb, the transition charge density is given by σij(r)=φa(r)φb*(r). Thus, a real-space display of the transition charge density indicates where the charge movement has occurred during an electronic transition. The correlations between transition charge densities that are directly measured by the photon coincidence indicate how the electronic change occurring in two transitions differs. geced(R2) has been used to investigate the interplay between charge ordering and high-temperature superconductivity in cuprates (34), the correlated movement of electrons in solid-state plasmas (35), and the protein structural dynamics (36).

Application to Cyanotetracetylene

We have simulated the diffraction signals from cyanotetracetylene (HC8CN) (Fig. 1C), a linear polyynic molecule with alternating single and triple bonds. Its ground-state charge density σgg has cylindrical symmetry. Its linear geometry allows a clear interpretation in both momentum and real space. This molecule was first detected in interstellar space (37) and has been studied both experimentally (3842) and theoretically (4347). We assume a single molecule oriented along x in the laboratory frame as shown in Fig. 1C.

The X-ray scattering signals contain both elastic and inelastic contributions (48, 49). The former is expressed as the correlation function of the ground-state charge density in momentum space σgg(q). The latter is given by correlation functions of the transition charge densities σij(q) (ij) responsible for the time-dependent features of the signal. The transition charge densities (i.e., off-diagonal elements of the charge-density operator) are smaller than their diagonal counterparts. The inelastic contribution is thus significantly weaker than the elastic one (14). The latter can be filtered out either by removing the time-independent contribution or by keeping the detection frequency ωs outside the pulse bandwidth. Radiation damage is neglected since we focus on the ultrashort (less than a few femtoseconds) dynamics before the Coulombic explosion can take place (5052).

The first X-ray pulse is a Gaussian propagating along y

Ap1(ω)=A12πτ1eτ12(ωΩ1)2/2. [7]

The central frequency Ω1 is set to 10keV, and the pulse duration is τ1=5fs. The detection frequency for the first scattered photon is ωs1=Ω13.93eV, as marked by the red vertical line in Fig. 2A. Only the valence states within the pulse bandwidth (3.93eV) contribute to the inelastic scattering; Fig. 1D. The elastic scattering, which is 1012 times stronger than the inelastic, is eliminated. The q1 scattering pattern is shown in Fig. 2B. Unlike elastic scattering, which is dominated by the ground-state charge density σgg and strongly centered around the origin (qx,qz)=(0,0) (14), the inelastic scattering has several peaks away from the origin.

Fig. 2.

Fig. 2.

Off-resonant scattering of a Gaussian X-ray pulse (Eq. 7) from HC8CN. (A) The pump spectral envelope Ap1(ω) and the detected scattered frequency ωs1=Ωp3.93eV (red vertical line). (B) The ground-state q1 scattering pattern created by the first pulse propagating along y.

We have selected two points A=(2.34Å1,3.17Å1) and B=(2.45Å1,2.92Å1) from the q1 scattering pattern indicated in Fig. 2B to apply the second scattering event. The molecule has received a known momentum from the first X-ray scattering and evolves freely in a superposition state ρab(T)=cacb*eiωabT until the next pulse arrives, where the superposition coefficients ci are given by

ci=Ap1(ωs1+ωig)σig(q1). [8]

Fig. 3 depicts the time evolution of the six off-diagonal elements ρab(T) that dominate the signal. Note that the degenerate excited states (E2=E3 and E5=E6 in Fig. 1D) do not contribute to the time dependence. The dominating elements are ρ25, ρ26, ρ35, and ρ36 for point A; and ρ24, ρ25, ρ26, ρ34, ρ35, and ρ36 for point B.

Fig. 3.

Fig. 3.

Time-dependent off-diagonal elements ρab(T) that dominate the dynamics of the signals for the two q1 points A and B marked in Fig. 2B.

A broadband attosecond (τ2=100as) off-resonant X-ray pulse is used to probe this electronic wavepacket. The scattered photon is detected at time T in several directions q2=ks2kp2. Fig. 4 depicts the q2 scattering pattern in the qx2=0.04Å1 plane for the two points labeled in Fig. 3B at three time delays T. To highlight the changes, we plot the differences S(T)S(T=0) for signals at T>0. As shown in Fig. 3, the off-diagonal density matrix elements for point B are smaller compared with A. The signal differences shown in Fig. 4 for point B are weaker than for point A. Several concentric circular rings are observed by pointing the second incoming pulse along the molecule main axis x, reflecting the molecule’s cylindrical symmetry. However, when the kp2 pulse propagates along y, two peaks instead of circular rings are observed at T=0, due to the loss of cylindrical symmetry along y. The scattered intensity variations with the time delay are depicted in Fig. 4. The time dependencies at points A and B are very different. For example, for the yx configuration (k^p1=ey and k^p2=ex) at point A, the signal difference preserves the sign at T=1.5 and 3fs, while the sign is reversed for the yx configuration at point B. This is because different electronic coherences are prepared at the two q1 points, reflecting the different momenta q1 transferred to the electrons by the first diffraction kp1 pulse at T=0.

Fig. 4.

Fig. 4.

Two-photon coincidence q2 scattering patterns for the two points marked in Fig. 2B at three time delays T. Left shows the full signal S(T=0). Center and Right show the signal difference S(T)S(T=0).

The pathways that dominate the signal can be identified from the sum-over-states expression Eq. 3 (for details, see SI Appendix , Fig. S1). Take the yy configuration in Fig. 4 as an example. At the q1 point A, the dominating pathways are gg2222, gg2288, and gg3399, which are time-independent, because the system is in a population after interaction with the kp1 pulse. By resorting to the signal difference S(T)S(T=0), the time-independent pathways can be eliminated. The time dependence of the signal is dominated by the pathways gg5288 and gg6399 (and their complex conjugates). Conversely, at point B, the time dependence of the signal difference is dominated by pathways gg5222 and gg4288 (and their complex conjugates).

The homodyne-detected two-photon coincidence signal directly images the dynamics of charge-density correlations, corresponding to the scattering pathways in momentum space. Fig. 5 depicts snapshots of the real and the imaginary parts of two-photon coincidence signals S(q1,R2,T) vs. R2 for the fixed q1. Since the diagonal elements of the density matrix cc (populations) are larger than the coherences cd with cd, the signals are dominated by the time-independent (c=d) pathways, and the time-independent charge-density correlation functions fecc(q1)gcgcg(q1)gecec(R2) contribute substantially to the real part of the signals. To highlight the time variation of the signals, Fig. 5 displays Re[S(q1,R2,T=0)] in Left and the difference Re[S(q1,R2,T)S(q1,R2,T=0)] in Center and Right.

Fig. 5.

Fig. 5.

The real (A) and imaginary (B) parts of the real-space two-photon coincidence signal S(q1,R2,T) for q1 points A and B marked in Fig. 2B at three time delays T. To highlight the changes, A, Center and Right show the signal differences Re[S(q1,R2,T)S(q1,R2,T=0)].

For the yy pulse configuration at point A, Re[S(q1,R2,T)] at T=0 lacks cylindrical symmetry along x, because the charge-density correlation function g2222(R2) makes a significant contribution to the signal, and the corresponding charge density σ22(r) is not cylindrically symmetric (SI Appendix, Fig. S2). The imaginary part of S(q1,R2,T) is a superposition of the time-dependent correlation functions of charge densities [i.e., Im[fecd(q1,T)gcgdg(q1)]geced(R2) with cd] and strongly varies with time as shown in Fig. 5B. The signals Im[S(q1,R2,T)] are cylindrically symmetric along x because all contributing transition charge densities have this symmetry. Conversely, for the yx configuration at point A, the corresponding signals are quite similar to those for the yy configuration, except for the full signal Re[S(q1,R2,T)] at T=0. This is because the dominating scattering pathways for these two pulse configurations are the same except that the pathway gg2222 only contributes to the signals for the yy configuration. This pathway and the corresponding correlation function g2222(R2) are time-independent and do not contribute to the signals Re[S(q1,R2,T)S(q1,R2,T=0)] and Im[S(q1,R2,T)], which can explain the similarities between the signals for the two pulse configurations. The real-space signals at point B can be analyzed similarly. Since different momenta q1 are transferred to the electrons by the kp1 pulses, the signals S(q1,R2,T) at points A and B are very different, which result from the interference of different scattering pathways.

Conclusions

We have proposed a diffraction technique that makes use of emerging X-ray sources. We demonstrated the physical insight gained by this signal by simulating the off-resonant X-ray scattering signals Eq. 3 from a single linear molecule in the electronic ground state. In the inelastic scattering regime, the signal dynamics is determined by the transition charge densities rather than the diagonal elements of the charge-density matrix and reveals more information about the electronic excitations than the conventional X-ray diffraction. The time- and wavevector-resolved signals are detected by a two-photon coincidence measurement, which reveals the correlation functions of the charge densities in momentum space.

The aforementioned off-resonant X-ray scattering signal Eq. 3 uses homodyne detection, which does not provide the phase of the charge densities. Phase-retrieval algorithms may be used to overcome this problem (5355). The real-space two-photon coincidence signal Eq. 4 is not a snapshot of the time-dependent charge density, but instead reflects the correlation between several transition charge densities. The signal shows an interference of various scattering pathways in momentum space. By using the density matrix and the sum-over-states expression Eq. 3, the time-dependent and -independent pathways can be clearly discriminated.

The inverse Fourier-transformed signals image the correlation function of charge densities in real space. The real part of the real-space signal is a sum of the time-dependent and -independent charge-density correlation functions, while the imaginary part contains only the time-dependent ones, which corresponds to the time-dependent scattering pathways in momentum space. Broadband attosecond X-ray pulses allow the visualization of time-dependent electron correlations on an ultrafast timescale. The real-space two-photon coincidence signals may be used to examine how correlation effects influence the dynamics of many-electron systems.

In this work, the scattered signal is obtained for a molecule initially in the ground state, and it thus only depends on a single time variable. More elaborate multidimensional measurements can be obtained by using coincidences involving more than two diffractions or by tuning the X-ray frequency at some core molecular resonance. We assume that the molecule is rigid. This simplifies the interpretation of the scattering patterns. It is possible to include nuclear motion between the two diffraction events, and the signal would then contain a signature of both nuclear and electronic wavepackets motion. Moreover, a dynamical process can also be launched by actinic pulses before or in between the scattering events (56). These protocols may offer fascinating new insights into the ultrafast electronic and nuclear dynamics of molecules.

Finally, the 2D diffraction signal presented here only provides even order correlation functions of the charge-density matrix elements that only depend on two wavevectors. Heterodyne detection scheme or incoming quantum state of light may reveal more general correlation functions.

Materials and Methods

The optimized geometry was obtained with density functional theory (DFT) with the functional B3LYP/6-311G(d,p) (5759). Time-dependent DFT (TDDFT) CAM-B3LYP (60)/6-311G(d,p) calculations were then performed with the Tamm–Dancoff approximation (TDA) (61) by using the NWChem program package (62, 63). Ten valence-excited states were included in the simulations, with energies ranging from 3.03 to 6.33eV. The charge-density matrix elements σij between valence-excited states i and j were evaluated by using the configuration interaction coefficients from the TDDFT/TDA results.

Supplementary Material

Supplementary File
pnas.1816730116.sapp.pdf (338.9KB, pdf)

Acknowledgments

This work was supported by Chemical Sciences, Geosciences, and Biosciences Division, Office of Basic Energy Sciences, Office of Science, US Department of Energy Awards (DOE) DE-FG02-04ER15571 and DE-SC0019484; and National Science Foundation Grant CHE-1663822. J.R.R. was supported by the DOE grant.

Footnotes

The authors declare no conflict of interest.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1816730116/-/DCSupplemental.

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