We report the design and performance of a time-resolved electron diffraction apparatus capable of producing intense bunches with simultaneously single digit micrometer probe size, long coherence length, and 200 fs rms time resolution. We measure the 5d (peak) beam brightness at the sample location in micro-diffraction mode to be 7×1013A/m2rad2. To generate high brightness electron bunches, the system employs high efficiency, low emittance semiconductor photocathodes driven with a wavelength near the photoemission threshold at a repetition rate up to 250 kHz. We characterize spatial, temporal, and reciprocal space resolution of the apparatus. We perform proof-of-principle measurements of ultrafast heating in single crystal Au samples and compare experimental results with simulations that account for the effects of multiple scattering.

Probing the transient response of materials after excitation by short, intense pulses of light is a route to the discovery of new phenomena and functionalities not observable in equilibrium.1–6 Progress in the experimental investigation of out-of-equilibrium states of matter requires the ongoing development of electron and x-ray beam-based tools with high resolving power in space, time, and energy. Observation of the fastest structural responses demands temporal resolution at the picosecond level and below.7,8

In practical terms, electron beam systems can be more compact than synchrotron x-ray sources and can provide complementary structural information.9 Multiple ultrafast electron probe modalities are common, ranging from diffraction10 to microscopy (imaging)11 and spectroscopy,12 accelerated to energies from sub-keV13 to keV,14 up to few MeV,15–20 with notable advantages in each regime. Among these, keV diffraction beamlines have served as the pioneering ultrafast electron structural probe system,3,21–24 and keV primary energies offer the advantages of room-scale size, high scattering cross section (beneficial for the investigation of 2D materials),25 and intrinsically high reciprocal space and energy resolution.26–29 In this paper, we focus on the keV ultrafast electron diffraction (UED) system archetype and explore ways to expand its scientific reach.

Temporal resolution has rightly been a focus of much work on ultrafast electron probes, with the state of the art in temporal resolution well below 50 fs.30–32 In this work, we adopt the rf compression scheme employed by multiple keV sources which regularly achieve 100 fs temporal resolution and below.

In the design of this apparatus, we emphasize the transverse degrees of freedom: probe size and reciprocal space resolution.33,34 Decreasing the probe size can significantly reduce the difficulty and time requirements of sample preparation,35 may permit the direct usage of standard transmission electron microscope (TEM) sample preparation techniques,36 or can enable selected area ultrafast diffraction of textured materials.28 In addition, for a given pump fluence, reducing the probe size permits a commensurate reduction of the pump size and pump-pulse energy. Reducing the total deposited energy in the sample per shot can both extend sample lifetimes and potentially shorten the time required for the sample to relax to its initial state following pump interaction, allowing data to be taken at higher repetition rates.

As a means for beam generation, photoemission affords fine control of the electron distribution both in space and time via laser shaping.37–40 To increase the spatial beam quality, in this work we employ photocathodes with high intrinsic brightness and further tune the photoemission wavelength.41,42 The choice of photo-excitation energies, when approaching the photoemission threshold, involves a trade-off between (i) maximizing the ratio of emitted electrons to incident photons—the quantum efficiency (QE) and (ii) minimizing the momentum spread of emitted photoelectrons, summarized in the mean transverse energy (MTE)43 of the beam. The maximum brightness achievable from a photoemission source is inversely proportional to MTE.44,45

Almost all ultrafast electron machines rely on metal photocathodes. While being robust, metals typically have much lower quantum efficiency (often <104, but there are exceptions46) and higher MTE (often hundreds of meV) than the best performing semiconductor photocathodes. We elect to use alkali antimonide photocathodes, which possess higher QE (103) and lower MTE (<50 meV) when illuminated with near-threshold visible and near-infrared photons. This high quantum efficiency near the photoemission threshold is critical, as it mitigates the brightness diluting effects of multiphoton photoemission and ultrafast cathode heating.47,48 However, the cost of this increased brightness is extreme vacuum sensitivity. Unlike metal photocathodes, alkali antimonides must be grown, transported, and used in ultra high vacuum (UHV) conditions.

Multiple ultrafast microscopy sources have utilized sharp tip geometries to generate coherent, sub-micron probes.49–51 Similar sub-micron emission sizes in high quantum efficiency semiconductor cathodes are yet to be demonstrated but are possible in principle. Low MTE photoemission is, in a sense, the conjugate technique to spatial confinement but has the advantage that it does not restrict total emitted charge per pulse. In this work, we use a 10 μm diameter laser-machined aperture just upstream of the sample plane (henceforth referred to as the “probe-defining aperture”) to generate few-micron rms sample probe sizes. In the hypothetical case without space charge, the role of the photocathode MTE is straightforward; our electron optics roughly image the photocathode plane onto this aperture, and the MTE then primarily determines the reciprocal space resolution of the diffraction pattern. However, we operate in a regime where space-charge is non-negligible, and this modifies the direct correspondence between MTE and reciprocal space resolution. Space charge forces usually degrade the brightness of the total beam, a fact which on the surface suggests that low MTE may not be useful for beam brightness at the sample. However, for both high-charge photoinjectors (for example, for synchrotron light sources) and UED machines of the kind described in this work, it has been shown in simulation that if beam optics and setpoints are designed from the outset to incorporate low MTE photoemission, significant performance gains are possible, down to the levels of the lowest MTEs measured from photoemission to date: 10 meV.52 We present below simulations of this effect at play in our apparatus as well as measurements consistent with the simulations.

The effects of space charge are further mitigated by selecting only the spatial core of the beam, as we do via the probe-defining aperture. In the core of the beam, nonlinear space charge forces are much smaller than at the edges, so that the core of the beam remains brighter than the beam as a whole.44,52,53 We typically overfill the probe-defining aperture by orders of magnitude in charge so that we select only this core, whose brightness is most closely determined by the initial MTE and photoemitted charge density. As compared to space charge free operation, this method provides significant flux gains through the aperture with only modest concessions in coherence. For probe diameters of 10 μm, we typically select between 100 and 1000 electrons from incident pulses of 105 electrons. The resulting bunch length at the sample is <200 fs rms.

Operated in micro-diffraction mode at its maximum repetition rate of 250 kHz with between 100 and 1000 electrons per pulse, we measure a peak brightness of 7×1013A/m2rad2 at the sample plane, which is the state of the art in this charge regime. Thanks to its photoinjector heritage, our design mitigates much of the performance-degrading effects of space charge and in high-charge mode, at 105 electrons per bunch, achieves a peak brightness of 4×1013A/m2rad2, a small decrease in brightness for a dramatic increase in charge. Wide flexibility in bunch charges is advantageous in UED experiments particularly at moderate pump fluences, even in stroboscopic operation, because sample relaxation times and damage thresholds can prohibit running at megahertz repetition rates.54,55 Moreover, the intrinsically lower energy spread of our photocathode makes our machine suitable for performing sub-eV ultrafast electron energy loss spectroscopy experiments in the future. Finally, we compare below our brightness figures with brightness measurements in both MeV and keV ultrafast electron diffraction and microscopy systems and show that our machine operates in an unfilled, complementary parameter space.

The body of this paper begins in Sec. II by describing the subsystems of the beamline, which we have named MEDUSA (Micro-Electron Diffraction for Ultrafast Structural Analysis). In Secs. III and IV, we report diagnostic measurements of the spatial and temporal resolution of the electron probe. Section V concludes the paper by presenting the results of a proof-of-principle measurement of ultrafast heating in a gold sample.

Our photoemission source is a Na–K–Sb cathode grown in the Cornell photocathode lab57 and transported to the electron gun via a UHV suitcase. Na–K–Sb photocathodes have simultaneously high quantum efficiency (103) and low MTE (<50 meV) when illuminated with red (650 nm) light.58 Our photocathode geometry is planar, and the photocathode film diameter is 1 cm. Thus, the profile of the photoemitting laser determines the electron source size. The photocathode is mounted on a custom INFN/DESY/LBNL-style miniplug which allows laser illumination in one of either transmission or reflection mode.59,60 In reflection mode, we use a laser spot size of 25 μm rms, while in transmission mode, a final lens placed close to the cathode forms a minimum laser spot size of 5 μm rms. The required pointing stability of the photoemitting laser is much stricter in transmission mode than in reflection mode; the results reported in this paper were obtained in reflection mode. A dc gun accelerates the beam61 to a maximum 200 keV; our typical operating energy is 140 keV. A schematic of the beamline is shown in Fig. 1. Following the dc gun, the beam is focused transversely by two solenoid lenses, and longitudinally by a 3 GHz bunching cavity. We place the transverse and longitudinal foci in the plane of the sample, and the diffraction pattern is transported by a drift to a modular detector section of variable length, depending on the reciprocal space field of view required.

FIG. 1.

(a) Schematic of the UED apparatus. The beamline consists of a 200 kV dc gun, two solenoids, a 3 GHz rf bunching cavity, the sample chamber, and a detector. The total length of the beamline is approximately 2.2 m. (b) Example data taken with the apparatus, showing a selected area electron diffraction pattern produced by a single flake of Nb3Br8.56 (c) The sample flake viewed under an optical microscope, the dark oval is a 10 μm window through the SiN substrate.

FIG. 1.

(a) Schematic of the UED apparatus. The beamline consists of a 200 kV dc gun, two solenoids, a 3 GHz rf bunching cavity, the sample chamber, and a detector. The total length of the beamline is approximately 2.2 m. (b) Example data taken with the apparatus, showing a selected area electron diffraction pattern produced by a single flake of Nb3Br8.56 (c) The sample flake viewed under an optical microscope, the dark oval is a 10 μm window through the SiN substrate.

Close modal

The laser system for generating both the pump and probe beams is a 250 kHz, 1030 nm, Yb fiber laser (Amplitude Systèmes Tangerine). One quarter of the available 200 μJ pulse energy is taken to generate the pump (typically 515 nm, via second harmonic generation), while the rest drives an optical parametric amplifier (OPA, Amplitude Systèmes Mango) to generate tunable visible light for photocathode illumination. A schematic of the entire setup is shown in Fig. 2. The OPA is tuned to generate 300 fs pulses at 650 nm, with 10 μJ pulse energy. A grating pair stretches the 300 fs pulse to approximately 1 ps, and the pulse is further broadened to 10 ps fwhm via temporal stacking crystals.62 This long pulse length is chosen to obtain a “cigar” electron bunch aspect ratio upon photoemission, which is known to alleviate transverse space charge forces.45,63 Furthermore, the optimized simulations, shown in Fig. 5 and described in more detail in Sec. III, all required pulses with fwhm > 5 ps. We choose stacking crystals over a single high-dispersion grating stretcher, as large dispersion combined with the inhomogenous spectrum of the OPA would introduce temporal profile distortions.

FIG. 2.

(a) A schematic of the laser system for the MEDUSA beamline. A 1030 nm fiber laser is used to generate both the 515 nm pump and the 650 nm photoemitting laser. The photoemitting laser is stretched with pulse stacking crystals and transported through a fiber to the cathode, to ensure position stability. The pump laser utilizes multiple feedbacked mirrors to ensure position stability. A motorized delay stage controls the relative time of arrival of the pump and probe. (b) Temporal distribution of the photoemitting laser as measured by deflecting a zero charge emitted electron beam.

FIG. 2.

(a) A schematic of the laser system for the MEDUSA beamline. A 1030 nm fiber laser is used to generate both the 515 nm pump and the 650 nm photoemitting laser. The photoemitting laser is stretched with pulse stacking crystals and transported through a fiber to the cathode, to ensure position stability. The pump laser utilizes multiple feedbacked mirrors to ensure position stability. A motorized delay stage controls the relative time of arrival of the pump and probe. (b) Temporal distribution of the photoemitting laser as measured by deflecting a zero charge emitted electron beam.

Close modal

Multiple feedback mechanisms ensure laser power and pointing stability. The photoemitting laser intensity is set by a waveplate controlled by a slow (5 Hz) feedback mechanism, which primarily corrects for thermal drifts. The photoemitting laser is transported to the cathode via a single mode hollow core fiber, which both ensures position stability and cleans the spatial mode of the OPA. The pump laser position and angle are read by two quadrant detectors, each of which controls a fast piezo-mirror that holds the position of the laser on the sample constant to 1 μm rms. This position stability is of critical importance given the small size of both the pump and probe. The pump laser size can be tuned down to <10 μm rms at the sample in the current optical configuration.

The bunching cavity is a 3 GHz reentrant TM01 cavity based on the Eindhoven design.64 The low-level 3 GHz rf signal is derived from the 50 MHz laser oscillator; the beam dynamics are, therefore, largely insensitive to laser oscillator phase drift. A fast feedback system based on the work of Otto et al.65 controls both both the phase and the amplitude of the buncher rf field as measured by a field probe on the cavity.

A large volume sample chamber provides flexibility in experimental design. Figure 3(a) is a diagram of the elements of the sample chamber when configured for ultrafast electron diffraction experiments. Pump pulses enter through a chamber window and a final, in-vacuum mirror determines the position of the pump spot on the sample. A 175 mm lens downstream of the final mirror focuses the pump to form a waist at the sample. An out-of-vacuum, remotely adjustable lens doublet enables tuning of the final spot size on the sample. Prior to entering the chamber, a beam splitter sends part of the pump pulse energy to an out-of-vacuum camera—the virtual sample camera—that monitors the position of the pump pulse on the sample: the path length to the camera is equal to that of the sample from the splitter, and a lens of equal focal length focuses the picked-off pulse to a waist at the camera CCD. Another camera looking into the sample chamber monitors the position of the sample stage as well as the physical condition of the sample. Figure 3(b) shows an example image of a 3 mm copper TEM grid (used for the destructive plasma timing diagnostic discussed below), with pump laser damage clearly visible.

FIG. 3.

(a) Top down illustration of our sample chamber, configured for ultrafast electron diffraction. We split the pump beam at the chamber entrance. The main pump path reflects off a final mirror and passes through a final focusing lens before reaching the sample. An aperture collimates the electron probe. The pump path bypasses the electron aperture and makes a 30° angle with the electron path. The other pump path, split at (i), is focused by an equivalent lens onto a camera we use to track the pump position on the sample. (b) A view of a copper TEM mounted in the sample holder inside the chamber from a camera located outside the vacuum. (c) The sample holder accommodates 3 mm TEM grids, among other standard TEM sample mounts, as well as knife edges and pinholes for measuring emittance. The sample can be remotely translated transversely and up to two tilt axes.

FIG. 3.

(a) Top down illustration of our sample chamber, configured for ultrafast electron diffraction. We split the pump beam at the chamber entrance. The main pump path reflects off a final mirror and passes through a final focusing lens before reaching the sample. An aperture collimates the electron probe. The pump path bypasses the electron aperture and makes a 30° angle with the electron path. The other pump path, split at (i), is focused by an equivalent lens onto a camera we use to track the pump position on the sample. (b) A view of a copper TEM mounted in the sample holder inside the chamber from a camera located outside the vacuum. (c) The sample holder accommodates 3 mm TEM grids, among other standard TEM sample mounts, as well as knife edges and pinholes for measuring emittance. The sample can be remotely translated transversely and up to two tilt axes.

Close modal

The flexibility to modify the sample setup entails routine vacuum venting of the sample chamber, making a bakeout impractical. Therefore, the vacuum in the sample chamber remains in the mid 108 Torr level during beam running. To prevent poisoning of the sensitive alkali antimonide photocathode, a vacuum conductance aperture and a large non-evaporable getter pump (∼1000 l/s pumping speed) separate the beamline into two portions: sample chamber plus detector (108 Torr) and the ultra-high vacuum portion, consisting of the gun itself (<1011 Torr) and the beam optics section (1010 Torr). The resulting operational lifetime of our photocathodes is several months.

We place the probe-defining aperture 10–15 mm upstream of the sample. This stand-off distance allows the pump beam to reach the sample without clipping on the electron aperture while minimizing the contribution of momentum spread to the probe size on the sample. Pump and probe rays make an angle of 30° at the sample plane. Pulse front tilt does not significantly change the pump pulse length because of the pump's small transverse size: the transverse full width at half max is one third the pulse length.

We have tested two detector modalities. For emittance measurements, or for diffraction measurements where high momentum resolution is required, we use a high spatial resolution 50 μm thick Ce:YAG scintillator screen coupled to a cooled, scientific CMOS camera (Teledyne Photometrics Prime BSI-Express) with a lens capable of 1:1 image magnification. For most diffraction experiments, even higher collection efficiency is desired. In this case, we use a P11 phosphor with a high numerical aperture lens system on the camera. The detectors are a separate vacuum module from the sample chamber, so they can be exchanged, or the camera length can be modified, without breaking the chamber's vacuum.

Spatial resolution in this beamline can be characterized by both the reciprocal space resolution and the beam size in real space. High reciprocal space resolution results in sharp diffraction peaks, while a small beam size enables the beam to probe small spatial features in the sample.

Reciprocal space resolution Δs can be expressed in terms of the rms spot size on the sample σx and normalized emittance ϵn as17 

Δs=2πλeϵnσx,
(1)

where λe is the electron de Broglie wavelength.

As shown in Eq. (1), there is a trade-off between the reciprocal space resolution and beam size. The beam size is primarily determined by the size of the probe-defining aperture and the size of the target sample, so the reciprocal space resolution in this system can only be improved by lowering the transverse emittance. Thus, it is critical to measure the emittance to quantify the performance of this apparatus, in both the high-charge and micro-diffraction modes of operation.

In the high-charge mode, the probe-defining aperture is removed, and the typical charge is up to 105 electrons/bunch, or 16 fC, at the sample plane. This is also the charge per bunch typically delivered to the aperture in micro-diffraction experiments. We measure the emittance of this bunch by first bringing it to a waist at the sample. Next, scanning the 10 μm diameter aperture across the beam both horizontally and vertically, and imaging the transmitted beam distribution on a viewscreen (which in this case represents the sample momentum distribution), we generate a full 4d transverse phase space of the beam. We then directly compute the emittance by calculating the sigma matrix of the beam. With this method, we measure a projected, normalized emittance of 13 nm-rad at 16 fC with an rms beam size of 43 μm. Achieving this value required not only the correction of normal quadrupole and skew-quadrupole but also sextupole components in the transverse and longitudinal focusing optics with dedicated quadrupole and sextupole corrector magnets just downstream of the second solenoid. This correction procedure will be described in a forthcoming manuscript, along with the complex space charge dynamics and compensation involved.

The micro-diffraction mode, the routine configuration for diffraction from small crystal flakes, e.g., panel (c) of Fig. 1, uses the probe-defining aperture to generate very small probes. Typical beamline operational parameters in this mode are listed in Table I. The right side of Fig. 4 shows a knife edge scan performed at the sample plane, yielding a transverse rms probe size of 3 μm. The bunch charge through the aperture is 500 electrons, and the normalized emittance is 0.7±0.1 nm rad. The emittance in this case was measured by bringing the beam to a focus on the pinhole, measuring its size at the sample with the knife edge and measuring the momentum spread using the beam size on the final screen.

TABLE I.

Routine beamline parameters for ultrafast micro-diffraction experiments.

Beam energy 140 keV 
Cathode spot size 25 μm rms 
Charge on target Up to 0.1 fC 
Probe size on target 3.5 μm rms 
Normalized emittance 1 nm rad 
Bunch length < 200 fs rms 
Pump fluence Up to 1 J/cm2 
Pump size on target Down to 10 μm rms 
Beam energy 140 keV 
Cathode spot size 25 μm rms 
Charge on target Up to 0.1 fC 
Probe size on target 3.5 μm rms 
Normalized emittance 1 nm rad 
Bunch length < 200 fs rms 
Pump fluence Up to 1 J/cm2 
Pump size on target Down to 10 μm rms 
FIG. 4.

(a) Scanning electron transmission image of our ultrafast diffraction sample, a gold film mounted on a 3 mm gold TEM grid. (b) Finer electron beam scan of a unique feature in the sample film. (c) Transmission scan of the same feature with the pump laser beam, for the purpose of verifying alignment of electron beam and pump. (d) Beam size measured at the sample plane through the final collimating aperture. There is a silicon knife edge in the sample plane, and the beam size is measured by fitting an error function to the intensity as a function of the position of the knife edge. The beam size is measured to be 3 μm rms. (e) Illustrating the two transmission modes, in red the electron beam is collimated by a 10 μm diameter aperture, in green the pump beam is steered around the electron aperture, making an angle with the electron beam of 30° at the sample plane; we perform the scan by moving the sample, shown in gold. (f) Selected area electron diffraction of the same gold sample comparing (i) a 100 μm rms probe size against and (ii) a 3 μm rms probe size.

FIG. 4.

(a) Scanning electron transmission image of our ultrafast diffraction sample, a gold film mounted on a 3 mm gold TEM grid. (b) Finer electron beam scan of a unique feature in the sample film. (c) Transmission scan of the same feature with the pump laser beam, for the purpose of verifying alignment of electron beam and pump. (d) Beam size measured at the sample plane through the final collimating aperture. There is a silicon knife edge in the sample plane, and the beam size is measured by fitting an error function to the intensity as a function of the position of the knife edge. The beam size is measured to be 3 μm rms. (e) Illustrating the two transmission modes, in red the electron beam is collimated by a 10 μm diameter aperture, in green the pump beam is steered around the electron aperture, making an angle with the electron beam of 30° at the sample plane; we perform the scan by moving the sample, shown in gold. (f) Selected area electron diffraction of the same gold sample comparing (i) a 100 μm rms probe size against and (ii) a 3 μm rms probe size.

Close modal

In order to understand the role of low MTE in our space charge dominated conditions, we use General Particle Tracer (GPT),66 a particle tracking PIC code, to simulate the changes in beam dynamics for various MTEs. GPT is coupled with a multiobjective genetic algorithm,67 which is set to optimize both bunch length and emittance at the sample plane, generating a curve of optimal emittance for each bunch length, known as a Pareto front. We fix the gun voltage and element positions and allow the electron optics and 3d laser pulse shape to vary, as would be the case in operation. Pareto fronts generated for MTEs of 25, 150, and 500 meV are shown in Fig. 5, and in these optimizations, the optimizer was permitted to emit up to 160 fC at the cathode and is required to transmit 16 fC to the sample after traversing physical apertures (for example, the bore of the buncher and pipe) in the beamline. We see a reduction in emittance of roughly 30% from 150 to 25 meV and roughly a factor of 2 from 500 to 25 meV, averaged over all displayed bunch lengths.

FIG. 5.

Pareto fronts generated in simulation by a genetic algorithm optimizer for cathode MTEs of 25 (red), 150 (green), and 500 meV (blue) with a final bunch charge of 16 fC. The optimizer was set to minimize emittance and bunch length, holding MTE, gun voltage, and element positions constant while being free to pick operational parameters. The measured emittance and bunch length are consistent with an MTE less than 150 meV. The solid lines are included solely for the purpose of guiding the eye.

FIG. 5.

Pareto fronts generated in simulation by a genetic algorithm optimizer for cathode MTEs of 25 (red), 150 (green), and 500 meV (blue) with a final bunch charge of 16 fC. The optimizer was set to minimize emittance and bunch length, holding MTE, gun voltage, and element positions constant while being free to pick operational parameters. The measured emittance and bunch length are consistent with an MTE less than 150 meV. The solid lines are included solely for the purpose of guiding the eye.

Close modal

From a physical standpoint, the relationship between MTE, brightness, and bunch length can be understood by considering the emitted charge. To achieve the same final emittance and charge at higher MTE, simulations show that it is necessary to emit a higher charge density and select out a smaller fraction of the total beam. Higher charge density results in larger longitudinal space charge forces prior to the sample plane, leading to longer bunch lengths.

Comparing the measured emittances to simulation, the optimal simulated emittance for a 200 fs bunch length is 17.5 nm rad at an MTE of 500 meV, 13 nm rad at 150 meV, and 10 nm rad at an MTE of 25 meV. As will be covered in Sec. IV, the bunch lengths we measure are lower than 200 fs, so the measured high-charge emittances are consistent with an MTE substantially less than 150 meV.

To help locate our machine in the parameter space of other ultrafast electron instruments, we compute 4d and 5d beam brightnesses from our beam diagnostic measurements. It is convenient to define the 5d normalized beam brightness Bnp in terms of normalized emittance and peak current Ip as

Bnp:=Ipπ2ϵn2.
(2)

We define the peak current of a beam with charge per bunch Q and rms bunch length σt as

Ip:=Q2πσt.
(3)

In the high-charge mode, the 5d brightness at the sample plane is 4×1013, and 7×1013A/m2rad2 in the micro-diffraction mode, consistent with the expectation that core brightness is higher than average brightness. For machines operating in the same charge and emittance regime, the natural units of 4d brightness, Q/ϵn2, are electrons per nanometer-radian squared per pulse. Our machine delivers 600 electrons/(nmrad)2 in high-charge mode and 1000 electrons/(nmrad)2 in micro-diffraction mode at the sample plane. For experimental applications, brightness at the sample plane is the relevant figure, not source brightness, as space charge forces and lens aberrations cause brightness loss in beam transport.55,68,69

It is informative to compare the brightness of MEDUSA with MeV-UED beamlines and ultrafast electron microscopes (UEMs) equipped with nano-tip sources, as this subset of ultrafast electron technology spans multiple orders of magnitude in charge per bunch, repetition rate, emittance, and temporal resolution around our operating point. In addition, the brightness values of these machines have been well-characterized. Megavolt diffraction beamlines have demonstrated 5d brightnesses in the range of 1012–1014A/m2rad2 and 4d brightnesses in the range of 10–103 electrons/(nmrad)2 in both high-charge and micro-diffraction modes.16,17,33,70 On the other end of the charge spectrum, at less than one electron per pulse delivered to the sample, nanotip UEMs achieve 5d brightnesses in the range of 1013–1015A/m2rad2 and 4d brightnesses in the range of 103–104 electrons/(nm-rad)2 when operated in high coherence mode.51,71 Nanotips have been shown to yield 1012A/m2rad2 and 102 electrons/(nmrad)2 at charges greater than one electron per pulse delivered to the sample; however, owing to brightness loss, users do not typically operate nanotip UEMs at these charges.71 

This beamline occupies an unfilled position in parameter space and is complementary to other state-of-the-art time-resolved electron scattering devices. Looking to the examples cited above, this beamline achieves comparable transverse brightness to existing MeV diffraction beamlines, but with high repetition rate and reciprocal space resolution in a compact footprint. However, compared to the same MeV devices, this beamline has coarser temporal resolution and more stringent vacuum requirements, and more complicated space charge compensation. Compared to nanotip UEMs, this beamline offers finer temporal resolution and much larger charge per pulse at the cost of lower transverse brightness.

As stated in the introduction, real space resolution, i.e., probe size, is a critical figure of merit for this beamline. In addition to the aforementioned knife edge scans, the left side of Fig. 4 provides another demonstration of the real space resolution of the electron beam. By scanning the position of the sample, we make a transmission image of the sample. Our target is a gold TEM grid with bar width of 25 μm and a pitch of 83 μm. We resolve fine details of this target using the electron beam scan with better resolution than the equivalent scan with the pump laser, which was measured to have a size of 10 μm rms. Not only does this method provide micrometer-resolution imaging, it also allows us to align pump and probe with single micrometer precision.

Two terms add in quadrature to determine the temporal resolution of the instrument: (i) the stability of the gun and bunching fields and (ii) the bunch length of the probe beam. A compact 3 GHz TM110 deflecting cavity (DrX Works) placed very near the plane of the sample transversely streaks the electron beam and provides direct measurements of both (i) and (ii).

The change in beam centroid as the deflector kicks the beam gives the bunch time of arrival. After subtracting off the transverse jitter in quadrature, we measure the time of arrival jitter to be 170 fs. We believe this to be an upper bound, as it includes contributions from deflector phase jitter. We estimate bunch length by deconvolving the beam width with the deflector on from the beam width with the deflector off. By fitting for the kernel of the convolution, we extract the contribution to the beam width from the deflected bunch length. Figure 6 shows measured bunch length as a function of buncher field amplitude. The minimum bunch length is measured to be 110 ± 70 fs rms, with the majority of the uncertainty arising from the deconvolution of the transverse beam size from the deflected bunch length as well as deflector phase jitter. We plan to improve our measurements of time of arrival jitter by performing streaked diffraction experiments72,73 which will provide a time-stamped signal to reconstruct beam time of arrival, mitigating the effects of deflector phase jitter. To generate an estimate of the overall temporal resolution, we add the measured time of arrival jitter in quadrature with the bunch length to yield 200±40 fs rms.

FIG. 6.

RMS bunch length as a function of buncher field amplitude. The minimum bunch length measured is less than 200 fs. The displayed error bars represent the mean of the individual standard errors for each measurement.

FIG. 6.

RMS bunch length as a function of buncher field amplitude. The minimum bunch length measured is less than 200 fs. The displayed error bars represent the mean of the individual standard errors for each measurement.

Close modal

A variable path length controls the time of arrival of the pump pulse at the sample plane. Synchronizing the pump and probe beams requires a target sample that responds promptly to the pump pulse. A standard technique is to aim the pump at a copper TEM grid and photoemit an electron gas,74 recording a time-resolved shadowgram of the electron gas with the probe beam. At a pump wavelength of 515 nm, the emitted charge is quadratic in pump energy and the effect on the probe becomes obvious at fluences above 100mJ/cm2. Figure 7(a) shows the signal we measure upon scanning pump delay. Figure 7(b) sketches the physical mechanism: the ejected plasma's coulomb field deflects the probe beam. The size of the deflection [exaggerated in Fig. 7(b)], though small compared to the beam size, is readily apparent in a difference image comparing the probe beam on the final screen between pump on and off. Figure 7(c) shows an example difference image. The signal we compute is the rms intensity of these difference images, cropped to a region of interest, as a function of delay time.

FIG. 7.

(a) Measurement of time-dependent photoemitted plasma lensing, showing the rms per pixel change in beam intensity as a function of time. (b) Schematic of the mechanism that drives the beam response: (i) pump laser photoemits an electron gas from a copper grid, and (ii) Coulomb field from emitted gas deflects the electron beam. (c) Example of the detected difference image used to compute the signal plotted in (a).

FIG. 7.

(a) Measurement of time-dependent photoemitted plasma lensing, showing the rms per pixel change in beam intensity as a function of time. (b) Schematic of the mechanism that drives the beam response: (i) pump laser photoemits an electron gas from a copper grid, and (ii) Coulomb field from emitted gas deflects the electron beam. (c) Example of the detected difference image used to compute the signal plotted in (a).

Close modal

As a proof-of-principle experiment, we measure the ultrafast heating of a gold diffraction sample (TED Pella #646) with mosaicity observed in static diffraction patterns indicating domains of sizes ∼10–100 μm. According to a two-temperature model of this process, the 515 nm pump beam deposits its energy into conduction electrons, which as a subsystem thermalize on a timescale much shorter than the 200 fs pump pulse length. The hot electron gas then equilibrates with the lattice over a few picosecond relaxation time τ. The transverse profile of the deposited energy is Gaussian with an rms size of 12μm. This pump size represents a trade-off between uniform illumination and minimizing the total deposited energy. The probe optics are chosen to maximize transmission through the collimating aperture, producing an rms probe size of 5μm. Hence, the sample temperature in the probed region is close to spatially uniform. Measuring the incident, transmitted, and reflected pump power in situ, we estimate the absorbed pump fluence to be no greater than 0.8mJ/cm2.

In the dataset shown in Fig. 8, we scan delays at 1.3 ps intervals. Each panel in the figure shows the difference in intensity between pump on and pump off on the detector screen, averaging 1.25×106 pulses per delay stage position. We alternate acquisitions of 5s at a repetition rate of 5kHz between pump-on and pump-off to control for slow drifts in the primary beam current.

FIG. 8.

Time-dependent diffraction from a gold sample pumped by 515 nm light. Each panel is a composite of 100 acquisitions at a 5 s exposure time and 5 kHz electron beam repetition rate, taken at a fixed pump delay indicated by the inset text.

FIG. 8.

Time-dependent diffraction from a gold sample pumped by 515 nm light. Each panel is a composite of 100 acquisitions at a 5 s exposure time and 5 kHz electron beam repetition rate, taken at a fixed pump delay indicated by the inset text.

Close modal

Grouping peaks related by lattice symmetries and averaging the change in peak intensity at each delay time gives the results shown in Fig. 9(a). To each dataset we fit an exponential decay, constraining the fit to find a common decay time τ for all curves and obtaining τ=3.0±0.3ps.

FIG. 9.

Bragg peak intensity as a function of pump delay. Peak intensities are estimated from the data shown in Fig. 8 by taking the maxima of Gaussian filtered images. The quantity plotted is the change in this intensity normalized by its fully relaxed (pump-probe delay 100 μs) value. (b) Simulated signal as a function of sample thickness including multiple scattering effects, assuming a cold temperature of 273 K and a hot temperature of 423 K; colors have the same meaning as in panel (a), dashed line indicates a thickness that reproduces qualitatively the dependence on scattering angle in the experimental data, values along this line are plotted as asterisks in panel (a).

FIG. 9.

Bragg peak intensity as a function of pump delay. Peak intensities are estimated from the data shown in Fig. 8 by taking the maxima of Gaussian filtered images. The quantity plotted is the change in this intensity normalized by its fully relaxed (pump-probe delay 100 μs) value. (b) Simulated signal as a function of sample thickness including multiple scattering effects, assuming a cold temperature of 273 K and a hot temperature of 423 K; colors have the same meaning as in panel (a), dashed line indicates a thickness that reproduces qualitatively the dependence on scattering angle in the experimental data, values along this line are plotted as asterisks in panel (a).

Close modal

Averaging the diffraction data along the azimuth provides a complementary 2D visualization of the ultrafast time-dependent effect. Figure 10(a) shows delay time on the vertical axis and the magnitude of the scattering vector on the horizontal. The four dark streaks that begin to appear at t = 0 correspond to the primary beam and the three reflections plotted in Fig. 9. The dashed and solid horizontal lines correspond to the cross sections plotted in Fig. 10(b). In addition to the suppression of the diffraction peaks, Figs. 10(a) and 10(b) reveal an enhancement of the diffuse scattering signal at scattering vectors in the interval between 2 and 6rad/Å. With an upgrade to our detector we plan to better resolve the momentum dependence of time-dependent diffuse scattering, revealing the non-equilibrium dynamics of lattice phonons.54,75

FIG. 10.

(a) Scattering intensity as a function of the magnitude of the scattering vector and pump delay time; the data are calculated by averaging the images in Fig. 8 over the azimuthal coordinate, centered on the primary peak. (b) A comparison of two cross sections of panel (a), showing explicitly the percentage change in scattering intensity as a function of the magnitude of the scattering vector; the dashed curve corresponds to the cross section indicated by a dashed line in panel (a), likewise the solid curve.

FIG. 10.

(a) Scattering intensity as a function of the magnitude of the scattering vector and pump delay time; the data are calculated by averaging the images in Fig. 8 over the azimuthal coordinate, centered on the primary peak. (b) A comparison of two cross sections of panel (a), showing explicitly the percentage change in scattering intensity as a function of the magnitude of the scattering vector; the dashed curve corresponds to the cross section indicated by a dashed line in panel (a), likewise the solid curve.

Close modal

The leading effect of ultrafast heating on the probe beam in the weak scattering limit is to wash out the coherence of the partial waves scattered from individual atoms. If the sample's initial temperature is well above its Debye temperature, and the temperature change ΔT is small compared to the sample's melting point, then the fractional suppression of the beamlet scattered by reciprocal lattice vector k is proportional to k2ΔT. Although the gold film is approximately 20 nm thick, at our primary beam energy, multiple scattering is significant, and hence, the trend in Fig. 9(a) does not show a quadratic dependence on scattering angle.

To quantify the importance of multiple scattering, we perform electron diffraction simulations with the slice-method code, μSTEM.76 Simulation results as a function of thickness and temperature are shown in Fig. 9(b). The vertical axis represents the relative change in diffraction peak intensity between the two temperatures 273 and 423 K, and the horizontal axis is the simulated crystal thickness. The vertical dashed line in Fig. 9(b) indicates a simulation thickness that reproduces the ordering of Bragg peaks seen in Fig. 9(a). The range of the horizontal axis in Fig. 9(b) covers 12 atomic layers. The figure thus shows that the addition of one atomic layer modulates the temperature response by more than the experimental uncertainty of the data shown in Fig. 9(a). The simulations agree qualitatively with our UED data, disagreeing on the scale of 10% of the measured effect. Non-uniform specimen thickness and temperature within the probed region could plausibly account for this discrepancy.

We have designed and commissioned an ultrafast electron micro-diffraction apparatus with sub-picosecond temporal resolution. Using an alkali antimonide photocathode, we generate beams with low intrinsic emittance allowing for micrometer scale probe size without significant loss in the reciprocal space resolution. A 3 GHz rf bunching cavity compresses the beam longitudinally to a few hundred femtoseconds, while solenoids and a collimating aperture reduce the beam size to 3 μm rms. With this small probe, as a proof-of-principle experiment we showed that the apparatus can clearly resolve the ultrafast evolution of the lattice temperature of a few-micron selected area of a textured gold film.

The capability to perform ultrafast electron diffraction with single-micron scale selected areas enables the study of samples that are challenging (or impossible) to produce in larger sizes. Furthermore, small electron probe sizes allow the commensurate reduction of pump area, which, for a constant excitation fluence, can dramatically reduce the pump energy deposition in the sample, mitigating average heating effects and sample damage at high repetition rates.

Future planned upgrades include the installation of a direct electron detector,77 with an expected substantial improvement in both sensitivity and data acquisition rate. Furthermore, low MTE photoemission conditions provide electron beams with low total energy spread (potentially in the tens of meV). With the addition of a high-resolution spectrometer, this apparatus will have the capability to probe electronic degrees of freedom on ultrafast timescales with very high energy resolution. A single probe that can correlate structural and electronic information promises to provide new insight into the role of electron–phonon interactions in determining material properties.

We thank Y. T. Shao and D. A. Muller for suggesting a multiple scattering interpretation of the UED data, and for introducing the authors to the μSTEM software package. This work was supported by U.S. Department of Energy, Grant No. DE-SC0020144 and U.S. National Science Foundation Grant No. PHY-1549132, the Center for Bright Beams.

The authors have no conflicts to disclose.

W.H.L. and C.J.R.D. contributed equally to this work.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

1.
H.
Ihee
,
V. A.
Lobastov
,
U. M.
Gomez
,
B. M.
Goodson
,
R.
Srinivasan
,
C.-Y.
Ruan
, and
A. H.
Zewail
, “
Direct imaging of transient molecular structures with ultrafast diffraction
,”
Science
291
,
458
462
(
2001
).
2.
A.
Cavalleri
,
C.
Tóth
,
C. W.
Siders
,
J.
Squier
,
F.
Ráksi
,
P.
Forget
, and
J.
Kieffer
, “
Femtosecond structural dynamics in VO2 during an ultrafast solid-solid phase transition
,”
Phys. Rev. Lett.
87
,
237401
(
2001
).
3.
B. J.
Siwick
,
J. R.
Dwyer
,
R. E.
Jordan
, and
R. D.
Miller
, “
An atomic-level view of melting using femtosecond electron diffraction
,”
Science
302
,
1382
1385
(
2003
).
4.
N.
Gedik
,
D.-S.
Yang
,
G.
Logvenov
,
I.
Bozovic
, and
A. H.
Zewail
, “
Nonequilibrium phase transitions in cuprates observed by ultrafast electron crystallography
,”
Science
316
,
425
429
(
2007
).
5.
L.
Stojchevska
,
I.
Vaskivskyi
,
T.
Mertelj
,
P.
Kusar
,
D.
Svetin
,
S.
Brazovskii
, and
D.
Mihailovic
, “
Ultrafast switching to a stable hidden quantum state in an electronic crystal
,”
Science
344
,
177
180
(
2014
).
6.
E. J.
Sie
,
C. M.
Nyby
,
C.
Pemmaraju
,
S. J.
Park
,
X.
Shen
,
J.
Yang
,
M. C.
Hoffmann
,
B.
Ofori-Okai
,
R.
Li
,
A. H.
Reid
,
S.
Weathersby
,
E.
Mannebach
,
N.
Finney
,
D.
Rhodes
,
D.
Chenet
,
A.
Antony
,
L.
Balicas
,
J.
Hone
,
T. P.
Devereaux
,
T. F.
Heinz
,
X.
Wang
, and
A. M.
Lindenberg
, “
An ultrafast symmetry switch in a Weyl semimetal
,”
Nature
565
,
61
66
(
2019
).
7.
Y.
Morimoto
and
P.
Baum
, “
Diffraction and microscopy with attosecond electron pulse trains
,”
Nat. Phys.
14
,
252
256
(
2018
).
8.
J.
Maxson
,
D.
Cesar
,
G.
Calmasini
,
A.
Ody
,
P.
Musumeci
, and
D.
Alesini
, “
Direct measurement of sub-10 fs relativistic electron beams with ultralow emittance
,”
Phys. Rev. Lett.
118
,
154802
(
2017
).
9.
J.
Li
and
J.
Sun
, “
Application of x-ray diffraction and electron crystallography for solving complex structure problems
,”
Acc. Chem. Res.
50
,
2737
2745
(
2017
).
10.
M.
Mo
,
Z.
Chen
,
R.
Li
,
M.
Dunning
,
B.
Witte
,
J.
Baldwin
,
L.
Fletcher
,
J.
Kim
,
A.
Ng
,
R.
Redmer
 et al, “
Heterogeneous to homogeneous melting transition visualized with ultrafast electron diffraction
,”
Science
360
,
1451
1455
(
2018
).
11.
D. R.
Cremons
,
D. A.
Plemmons
, and
D. J.
Flannigan
, “
Femtosecond electron imaging of defect-modulated phonon dynamics
,”
Nat. Commun.
7
,
11230
(
2016
).
12.
E.
Pomarico
,
Y.-J.
Kim
,
F. J.
García de Abajo
,
O.-H.
Kwon
,
F.
Carbone
, and
R. M.
van der Veen
, “
Ultrafast electron energy-loss spectroscopy in transmission electron microscopy
,”
MRS Bull.
43
,
497
503
(
2018
).
13.
S.
Vogelgesang
,
G.
Storeck
,
J.
Horstmann
,
T.
Diekmann
,
M.
Sivis
,
S.
Schramm
,
K.
Rossnagel
,
S.
Schäfer
, and
C.
Ropers
, “
Phase ordering of charge density waves traced by ultrafast low-energy electron diffraction
,”
Nat. Phys.
14
,
184
190
(
2018
).
14.
R. P.
Chatelain
,
V. R.
Morrison
,
C.
Godbout
, and
B. J.
Siwick
, “
Ultrafast electron diffraction with radio-frequency compressed electron pulses
,”
Appl. Phys. Lett.
101
,
081901
(
2012
).
15.
X.
Wang
,
Z.
Wu
, and
H. H.
Ihee
, “
Femto-seconds electron beam diffraction using photocathode rf gun
,” in
Proceedings of the 2003 Particle Accelerator Conference
(
IEEE
,
2003
), pp.
420
422
, Vol.
1
.
16.
P.
Zhu
,
Y.
Zhu
,
Y.
Hidaka
,
L.
Wu
,
J.
Cao
,
H.
Berger
,
J.
Geck
,
R.
Kraus
,
S.
Pjerov
,
Y.
Shen
 et al, “
Femtosecond time-resolved MeV electron diffraction
,”
New J. Phys.
17
,
063004
(
2015
).
17.
S. P.
Weathersby
,
G.
Brown
,
M.
Centurion
,
T. F.
Chase
,
R.
Coffee
,
J.
Corbett
,
J. P.
Eichner
,
J. C.
Frisch
,
A. R.
Fry
,
M.
Gühr
,
N.
Hartmann
,
C.
Hast
,
R.
Hettel
,
R. K.
Jobe
,
E. N.
Jongewaard
,
J. R.
Lewandowski
,
R. K.
Li
,
A. M.
Lindenberg
,
I.
Makasyuk
,
J. E.
May
,
D.
McCormick
,
M. N.
Nguyen
,
A. H.
Reid
,
X.
Shen
,
K.
Sokolowski-Tinten
,
T.
Vecchione
,
S. L.
Vetter
,
J.
Wu
,
J.
Yang
,
H. A.
Dürr
, and
X. J.
Wang
, “
Mega-electron-volt ultrafast electron diffraction at SLAC National Accelerator Laboratory
,”
Rev. Sci. Instrum.
86
,
073702
(
2015
).
18.
J.
Yang
,
K.
Kan
,
N.
Naruse
,
Y.
Yoshida
,
K.
Tanimura
, and
J.
Urakawa
, “
100-femtosecond MeV electron source for ultrafast electron diffraction
,”
Radiat. Phys. Chem.
78
,
1106
1111
(
2009
).
19.
F.
Ji
,
D. B.
Durham
,
A. M.
Minor
,
P.
Musumeci
,
J. G.
Navarro
, and
D.
Filippetto
, “
Ultrafast relativistic electron nanoprobes
,”
Commun. Phys.
2
,
54
(
2019
).
20.
F.
Fu
,
S.
Liu
,
P.
Zhu
,
D.
Xiang
,
J.
Zhang
, and
J.
Cao
, “
High quality single shot ultrafast MeV electron diffraction from a photocathode radio-frequency gun
,”
Rev. Sci. Instrum.
85
,
083701
(
2014
).
21.
G.
Mourou
and
S.
Williamson
, “
Picosecond electron diffraction
,”
Appl. Phys. Lett.
41
,
44
45
(
1982
).
22.
J. C.
Williamson
,
J.
Cao
,
H.
Ihee
,
H.
Frey
, and
A. H.
Zewail
, “
Clocking transient chemical changes by ultrafast electron diffraction
,”
Nature
386
,
159
162
(
1997
).
23.
A. A.
Ischenko
,
V. V.
Golubkov
,
V. P.
Spiridonov
,
A. V.
Zgurskii
,
A. S.
Akhmanov
,
M. G.
Vabischevich
, and
V. N.
Bagratashvili
, “
A stroboscopical gas-electron diffraction method for the investigation of short-lived molecular species
,”
Appl. Phys. B
32
,
161
163
(
1983
).
24.
R. C.
Dudek
and
P. M.
Weber
, “
Ultrafast diffraction imaging of the electrocyclic ring-opening reaction of 1, 3-cyclohexadiene
,”
J. Phys. Chem. A
105
,
4167
4171
(
2001
).
25.
D. S.
Badali
,
R. Y.
Gengler
, and
R.
Miller
, “
Ultrafast electron diffraction optimized for studying structural dynamics in thin films and monolayers
,”
Struct. Dyn.
3
,
034302
(
2016
).
26.
G. M.
Vanacore
,
I.
Madan
,
G.
Berruto
,
K.
Wang
,
E.
Pomarico
,
R.
Lamb
,
D.
McGrouther
,
I.
Kaminer
,
B.
Barwick
,
F. J. G.
de Abajo
 et al, “
Attosecond coherent control of free-electron wave functions using semi-infinite light fields
,”
Nat. Commun.
9
,
2694
(
2018
).
27.
G. M.
Vanacore
,
G.
Berruto
,
I.
Madan
,
E.
Pomarico
,
P.
Biagioni
,
R.
Lamb
,
D.
McGrouther
,
O.
Reinhardt
,
I.
Kaminer
,
B.
Barwick
 et al, “
Ultrafast generation and control of an electron vortex beam via chiral plasmonic near fields
,”
Nat. Mater.
18
,
573
579
(
2019
).
28.
A.
Zong
,
X.
Shen
,
A.
Kogar
,
L.
Ye
,
C.
Marks
,
D.
Chowdhury
,
T.
Rohwer
,
B.
Freelon
,
S.
Weathersby
,
R.
Li
,
J.
Yang
,
J.
Checkelsky
,
X.
Wang
, and
N.
Gedik
, “
Ultrafast manipulation of mirror domain walls in a charge density wave
,”
Sci. Adv.
4
,
eaau5501
(
2018
).
29.
E.
Pomarico
,
I.
Madan
,
G.
Berruto
,
G. M.
Vanacore
,
K.
Wang
,
I.
Kaminer
,
F. J.
García de Abajo
, and
F.
Carbone
, “
meV resolution in laser-assisted energy-filtered transmission electron microscopy
,”
ACS Photonics
5
,
759
764
(
2017
).
30.
L.
Zhao
,
Z.
Wang
,
C.
Lu
,
R.
Wang
,
C.
Hu
,
P.
Wang
,
J.
Qi
,
T.
Jiang
,
S.
Liu
,
Z.
Ma
 et al, “
Terahertz streaking of few-femtosecond relativistic electron beams
,”
Phys. Rev. X
8
,
021061
(
2018
).
31.
E.
Snively
,
M.
Othman
,
M.
Kozina
,
B.
Ofori-Okai
,
S.
Weathersby
,
S.
Park
,
X.
Shen
,
X.
Wang
,
M.
Hoffmann
,
R.
Li
 et al, “
Femtosecond compression dynamics and timing jitter suppression in a THz-driven electron bunch compressor
,”
Phys. Rev. Lett.
124
,
054801
(
2020
).
32.
F.
Qi
,
Z.
Ma
,
L.
Zhao
,
Y.
Cheng
,
W.
Jiang
,
C.
Lu
,
T.
Jiang
,
D.
Qian
,
Z.
Wang
,
W.
Zhang
 et al, “
Breaking 50 femtosecond resolution barrier in MeV ultrafast electron diffraction with a double bend achromat compressor
,”
Phys. Rev. Lett.
124
,
134803
(
2020
).
33.
X.
Shen
,
R.
Li
,
U.
Lundström
,
T.
Lane
,
A.
Reid
,
S.
Weathersby
, and
X.
Wang
, “
Femtosecond mega-electron-volt electron microdiffraction
,”
Ultramicroscopy
184
,
172
176
(
2018
).
34.
C.-Y.
Ruan
,
Y.
Murooka
,
R. K.
Raman
,
R. A.
Murdick
,
R. J.
Worhatch
, and
A.
Pell
, “
The development and applications of ultrafast electron nanocrystallography
,”
Microsc. Microanal.
15
,
323
337
(
2009
).
35.
Y.-Q.
Bie
,
A.
Zong
,
X.
Wang
,
P.
Jarillo-Herrero
, and
N.
Gedik
, “
A versatile sample fabrication method for ultrafast electron diffraction
,”
Ultramicroscopy
230
,
113389
(
2021
).
36.
R.
Langford
and
M.
Rogers
, “
In situ lift-out: Steps to improve yield and a comparison with other FIB TEM sample preparation techniques
,”
Micron
39
,
1325
1330
(
2008
).
37.
J. M.
Maxson
,
A. C.
Bartnik
, and
I. V.
Bazarov
, “
Efficient and accurate laser shaping with liquid crystal spatial light modulators
,”
Appl. Phys. Lett.
105
,
171109
(
2014
).
38.
J.
Maxson
,
H.
Lee
,
A. C.
Bartnik
,
J.
Kiefer
, and
I.
Bazarov
, “
Adaptive electron beam shaping using a photoemission gun and spatial light modulator
,”
Phys. Rev. Spec. Top.--Accel. Beams
18
,
023401
(
2015
).
39.
D.
Thompson
,
D.
Murphy
,
R.
Speirs
,
R.
Van Bijnen
,
A.
McCulloch
,
R.
Scholten
, and
B.
Sparkes
, “
Suppression of emittance growth using a shaped cold atom electron and ion source
,”
Phys. Rev. Lett.
117
,
193202
(
2016
).
40.
J.
Franssen
,
T.
de Raadt
,
M.
van Ninhuijs
, and
O.
Luiten
, “
Compact ultracold electron source based on a grating magneto-optical trap
,”
Phys. Rev. Accel. Beams
22
,
023401
(
2019
).
41.
L.
Kasmi
,
D.
Kreier
,
M.
Bradler
,
E.
Riedle
, and
P.
Baum
, “
Femtosecond single-electron pulses generated by two-photon photoemission close to the work function
,”
New J. Phys.
17
,
033008
(
2015
).
42.
S.
Karkare
,
G.
Adhikari
,
W. A.
Schroeder
,
J. K.
Nangoi
,
T.
Arias
,
J.
Maxson
, and
H.
Padmore
, “
Ultracold electrons via near-threshold photoemission from single-crystal Cu (100)
,”
Phys. Rev. Lett.
125
,
054801
(
2020
).
43.
P.
Musumeci
,
J. G.
Navarro
,
J.
Rosenzweig
,
L.
Cultrera
,
I.
Bazarov
,
J.
Maxson
,
S.
Karkare
, and
H.
Padmore
, “
Advances in bright electron sources
,”
Nucl. Instrum. Methods Phys. Res., Sect. A
907
,
209
220
(
2018
).
44.
I. V.
Bazarov
,
B. M.
Dunham
, and
C. K.
Sinclair
, “
Maximum achievable beam brightness from photoinjectors
,”
Phys. Rev. Lett.
102
,
104801
(
2009
).
45.
D.
Filippetto
,
P.
Musumeci
,
M.
Zolotorev
, and
G.
Stupakov
, “
Maximum current density and beam brightness achievable by laser-driven electron sources
,”
Phys. Rev. Spec. Top.--Accel. Beams
17
,
024201
(
2014
).
46.
H.
Qian
,
J.
Murphy
,
Y.
Shen
,
C.
Tang
, and
X.
Wang
, “
Surface photoemission in a high-brightness electron beam radio frequency gun
,”
Appl. Phys. Lett.
97
,
253504
(
2010
).
47.
J.
Maxson
,
P.
Musumeci
,
L.
Cultrera
,
S.
Karkare
, and
H.
Padmore
, “
Ultrafast laser pulse heating of metallic photocathodes and its contribution to intrinsic emittance
,”
Nucl. Instrum. Methods Phys. Res., Sect. A
865
,
99
104
(
2017
).
48.
J. K.
Bae
,
I.
Bazarov
,
P.
Musumeci
,
S.
Karkare
,
H.
Padmore
, and
J.
Maxson
, “
Brightness of femtosecond nonequilibrium photoemission in metallic photocathodes at wavelengths near the photoemission threshold
,”
J. Appl. Phys.
124
,
244903
(
2018
).
49.
Y.
Zhang
and
D. J.
Flannigan
, “
Observation of anisotropic strain-wave dynamics and few-layer dephasing in MoS2 with ultrafast electron microscopy
,”
Nano Lett.
19
,
8216
8224
(
2019
).
50.
T.
Danz
,
T.
Domrüse
, and
C.
Ropers
, “
Ultrafast nanoimaging of the order parameter in a structural phase transition
,”
Science
371
,
371
374
(
2021
).
51.
F.
Houdellier
,
G. M.
Caruso
,
S.
Weber
,
M.
Kociak
, and
A.
Arbouet
, “
Development of a high brightness ultrafast transmission electron microscope based on a laser-driven cold field emission source
,”
Ultramicroscopy
186
,
128
138
(
2018
).
52.
C. M.
Pierce
,
M. B.
Andorf
,
E.
Lu
,
C.
Gulliford
,
I. V.
Bazarov
,
J. M.
Maxson
,
M.
Gordon
,
Y.-K.
Kim
,
N. P.
Norvell
,
B. M.
Dunham
, and
T. O.
Raubenheimer
, “
Low intrinsic emittance in modern photoinjector brightness
,”
Phys. Rev. Accel. Beams
23
,
070101
(
2020
).
53.
B. S.
Zerbe
,
X.
Xiang
,
C.-Y.
Ruan
,
S.
Lund
, and
P.
Duxbury
, “
Dynamical bunching and density peaks in expanding coulomb clouds
,”
Phys. Rev. Accel. Beams
21
,
064201
(
2018
).
54.
T.
Chase
,
M.
Trigo
,
A.
Reid
,
R.
Li
,
T.
Vecchione
,
X.
Shen
,
S.
Weathersby
,
R.
Coffee
,
N.
Hartmann
,
D.
Reis
 et al, “
Ultrafast electron diffraction from non-equilibrium phonons in femtosecond laser heated Au films
,”
Appl. Phys. Lett.
108
,
041909
(
2016
).
55.
W. A.
Curtis
and
D. J.
Flannigan
, “
Toward Å-fs-meV resolution in electron microscopy: Systematic simulation of the temporal spread of single-electron packets
,”
Phys. Chem. Chem. Phys.
23
,
23544
23553
(
2021
).
56.
E.
Bianco
,
B.
Goodge
,
I. E.
Baggari
,
N.
Schnitzer
,
C.
Pasco
,
T.
McQueen
, and
L.
Kourkoutis
, “
Stable continuously variable temperature cryo-STEM to understand the structurally driven phase transition in the 2D layered magnet Nb3Br8
,”
Microsc. Microanal.
26
,
1090
1092
(
2020
).
57.
L.
Cultrera
,
H.
Lee
, and
I.
Bazarov
, “
Alkali antimonides photocathodes growth using pure metals evaporation from effusion cells
,”
J. Vac. Sci. Technol. B
34
,
011202
(
2016
).
58.
J.
Maxson
,
L.
Cultrera
,
C.
Gulliford
, and
I.
Bazarov
, “
Measurement of the tradeoff between intrinsic emittance and quantum efficiency from a NaKSb photocathode near threshold
,”
Appl. Phys. Lett.
106
,
234102
(
2015
).
59.
R. P.
Wells
,
W.
Ghiorso
,
J.
Staples
,
T. M.
Huang
,
F.
Sannibale
, and
T. D.
Kramasz
, “
Mechanical design and fabrication of the VHF-gun, the Berkeley normal-conducting continuous-wave high-brightness electron source
,”
Rev. Sci. Instrum.
87
,
023302
(
2016
).
60.
S.
Karkare
,
J.
Feng
,
D.
Filippetto
,
M.
Johnson
,
S.
Virostek
,
F.
Sannibale
,
J.
Nasiatka
,
M.
Gaowei
,
J.
Sinsheimer
,
E.
Muller
,
J.
Smedley
,
H.
Padmore
, and
Z.
Ding
, “
Temperature-dependent quantum efficiency degradation of K-Cs-Sb bialkali antimonide photocathodes grown by a triple-element codeposition method
,”
Phys. Rev. Accel. Beams
20
,
113401
(
2017
).
61.
H.
Lee
,
X.
Liu
,
L.
Cultrera
,
B.
Dunham
,
V. O.
Kostroun
, and
I. V.
Bazarov
, “
A cryogenically cooled high voltage DC photoemission electron source
,”
Rev. Sci. Instrum.
89
,
083303
(
2018
).
62.
I. V.
Bazarov
,
D. G.
Ouzounov
,
B. M.
Dunham
,
S. A.
Belomestnykh
,
Y.
Li
,
X.
Liu
,
R. E.
Meller
,
J.
Sikora
,
C. K.
Sinclair
,
F. W.
Wise
, and
T.
Miyajima
, “
Efficient temporal shaping of electron distributions for high-brightness photoemission electron guns
,”
Phys. Rev. Spec. Top. --Accel. Beams
11
,
040702
(
2008
).
63.
R. K.
Li
,
K. G.
Roberts
,
C. M.
Scoby
,
H.
To
, and
P.
Musumeci
, “
Nanometer emittance ultralow charge beams from rf photoinjectors
,”
Phys. Rev. Spec. Top. --Accel. Beams
15
,
090702
(
2012
).
64.
T.
van Oudheusden
,
E. F.
de Jong
,
S. B.
van der Geer
,
W. P. E. M.
Op 't Root
,
O. J.
Luiten
, and
B. J.
Siwick
, “
Electron source concept for single-shot sub-100 fs electron diffraction in the 100 keV range
,”
J. Appl. Phys.
102
,
093501
(
2007
).
65.
M. R.
Otto
,
L.
René de Cotret
,
M. J.
Stern
, and
B. J.
Siwick
, “
Solving the jitter problem in microwave compressed ultrafast electron diffraction instruments: Robust sub-50 fs cavity-laser phase stabilization
,”
Struct. Dyn.
4
,
051101
(
2017
).
66.
See http://www.pulsar.nl/gpt/ for “
General Particle Tracer.
67.
C.
Gulliford
,
A.
Bartnik
, and
I.
Bazarov
, “
Multiobjective optimizations of a novel cryocooled dc gun based ultrafast electron diffraction beam line
,”
Phys. Rev. Accel. Beams
19
,
093402
(
2016
).
68.
L.
Piazza
,
D.
Masiel
,
T.
LaGrange
,
B.
Reed
,
B.
Barwick
, and
F.
Carbone
, “
Design and implementation of a fs-resolved transmission electron microscope based on thermionic gun technology
,”
Chem. Phys.
423
,
79
84
(
2013
).
69.
N.
Bach
,
T.
Domröse
,
A.
Feist
,
T.
Rittmann
,
S.
Strauch
,
C.
Ropers
, and
S.
Schäfer
, “
Coulomb interactions in high-coherence femtosecond electron pulses from tip emitters
,”
Struct. Dyn.
6
,
014301
(
2019
).
70.
D.
Filippetto
and
H.
Qian
, “
Design of a high-flux instrument for ultrafast electron diffraction and microscopy
,”
J. Phys. B
49
,
104003
(
2016
).
71.
A.
Feist
,
N.
Bach
,
N.
Rubiano da Silva
,
T.
Danz
,
M.
Müller
,
K. E.
Priebe
,
T.
Domrüse
,
J. G.
Gatzmann
,
S.
Rost
,
J.
Schauss
,
S.
Strauch
,
R.
Bormann
,
M.
Sivis
,
S.
Schäfer
, and
C.
Ropers
, “
Ultrafast transmission electron microscopy using a laser-driven field emitter: Femtosecond resolution with a high coherence electron beam
,”
Ultramicroscopy
176
,
63
73
(
2017
).
72.
R.
Li
,
W.
Huang
,
Y.
Du
,
L.
Yan
,
Q.
Du
,
J.
Shi
,
J.
Hua
,
H.
Chen
,
T.
Du
,
H.
Xu
, and
C.
Tang
, “
Note: Single-shot continuously time-resolved MeV ultrafast electron diffraction
,”
Rev. Sci. Instrum.
81
,
036110
(
2010
).
73.
P.
Musumeci
,
J. T.
Moody
,
C. M.
Scoby
,
M. S.
Gutierrez
,
M.
Westfall
, and
R. K.
Li
, “
Capturing ultrafast structural evolutions with a single pulse of MeV electrons: Radio frequency streak camera based electron diffraction
,”
J. Appl. Phys.
108
,
114513
(
2010
).
74.
C. M.
Scoby
,
R. K.
Li
, and
P.
Musumeci
, “
Effect of an ultrafast laser induced plasma on a relativistic electron beam to determine temporal overlap in pump-probe experiments
,”
Ultramicroscopy
127
,
14
18
(
2013
).
75.
M. J.
Stern
,
L. P. R.
de Cotret
,
M. R.
Otto
,
R. P.
Chatelain
,
J.-P.
Boisvert
,
M.
Sutton
, and
B. J.
Siwick
, “
Mapping momentum-dependent electron-phonon coupling and nonequilibrium phonon dynamics with ultrafast electron diffuse scattering
,”
Phys. Rev. B
97
,
165416
(
2018
).
76.
L. J.
Allen
,
S.
Findlay
 et al, “
Modelling the inelastic scattering of fast electrons
,”
Ultramicroscopy
151
,
11
22
(
2015
).
77.
M. W.
Tate
,
P.
Purohit
,
D.
Chamberlain
,
K. X.
Nguyen
,
R.
Hovden
,
C. S.
Chang
,
P.
Deb
,
E.
Turgut
,
J. T.
Heron
,
D. G.
Schlom
 et al, “
High dynamic range pixel array detector for scanning transmission electron microscopy
,”
Microsc. Microanal.
22
,
237
249
(
2016
).