research papers
Soft-X-ray ARPES facility at the ADRESS beamline of the SLS: concepts, technical realisation and scientific applications
aSwiss Light Source, Paul Scherrer Institute, CH-5232 Villigen-PSI, Switzerland
*Correspondence e-mail: vladimir.strocov@psi.ch
Soft-X-ray angle-resolved 13 photons s−1 (0.01% bandwidth)−1 delivered by the beamline combined with the optimized experimental geometry break through the dramatic loss of the at soft-X-ray energies. ARPES images with energy resolution up to a few tens of meV are typically acquired on the time scale of minutes. A few application examples illustrate the power of our advanced soft-X-ray ARPES instrumentation to explore the electronic structure of bulk crystals with resolution in three-dimensional momentum, access buried heterostructures and study elemental composition of the valence states using resonant excitation.
(ARPES) with photon energies around 1 keV combines the momentum space resolution with increasing probing depth. The concepts and technical realisation of the new soft-X-ray ARPES endstation at the ADRESS beamline of SLS are described. The experimental geometry of the endstation is characterized by grazing X-ray incidence on the sample to increase the photoyield and vertical orientation of the measurement plane. The vacuum chambers adopt a radial layout allowing most efficient sample transfer. High accuracy of the angular resolution is ensured by alignment strategies focused on precise matching of the X-ray beam and optical axis of the analyzer. The high of up to 10Keywords: Swiss Light Source; ADRESS beamline; soft-X-ray energy range; angle-resolved photoelectron spectroscopy; electronic structure; bulk sensitivity; three-dimensional momentum; buried heterostructures; resonant photoemission.
1. Introduction
The Swiss Light Source (SLS) is a third-generation synchrotron radiation source situated at the PSI site in Villigen, Switzerland. Its storage ring operates at 2.4 GeV electron energy with a current of 400 mA.
The ADRESS (ADvanced RESonant Spectroscopy) undulator beamline is installed in the X03M middle straight section of the SLS. It is designed for experiments with resonant inelastic X-ray scattering (RIXS) and angle-resolved et al., 2013) has been open for users since autumn 2007, and the ARPES endstation since spring 2011. The beamline is described in detail by Strocov et al. (2010). Briefly, it delivers soft-X-ray radiation with variable polarizations in the range of photon energies hν from 300 to 1600 eV. The key beamline performance feature is the high topping up 1013 photons s−1 (0.01% bandwidth)−1 near 1 keV. The spot size on the sample in the ARPES endstation is 10 µm (vertical) × 73.6 µm (horizontal).
(ARPES) in the soft-X-ray range with high energy resolution. The RIXS endstation (SchmittThe soft-X-ray ARPES (SX-ARPES) endstation is intended for investigations of the electronic structure, correlation and resonance effects in crystalline solids with resolution in three-dimensional momentum k (see, for example, Hüfner, 1996). Pioneered at SPring-8 (Sekiyama et al., 2004; Suga et al., 2004), soft-X-ray ARPES (SX-ARPES) exploits the hν range around 1 keV. It features a few fundamental advantages compared with the conventional VUV-ARPES in the hν range around 100 eV:
(i) Increase of the photoelectron Ek results in increase of the photoelectron attenuation length λ by a factor of two to five compared with the conventional ARPES as described, in the first approximation, by the `universal curve' (see, for example, Powell et al., 1999). This enhances the bulk sensitivity of the ARPES experiment as well as enabling experimental studies of buried interfaces and heterostructures.
(ii) Sharp definition of the surface-perpendicular momentum k⊥ which enables accurate investigations of electronic structure in three-dimensional materials (Strocov et al., 2012). This has two aspects. (a) The final-state confinement within λ results, by the Heisenberg uncertainty principle, in intrinsic broadening of its k⊥ defined by Δk⊥ = λ−1. The increase of λ results therefore in improvement of the intrinsic k⊥ resolution (Strocov, 2003). (b) The final-state dispersion becomes free-electron-like which allows accurate determination of the k⊥ value distorted during the photoelectron escape into vacuum.
(iii) The photoemission matrix elements reduce basically to atomic cross sections (Solterbeck et al., 1997) varying only smoothly under variations of energy and k. The concomitant regularity of the ARPES response significantly simplifies the data analysis.
The main difficulty of SX-ARPES, until now severely impeding the use of this technique, is that the Ω of valence states reduces compared with the VUV energy range by typically two to three orders of magnitude. This is illustrated in Fig. 1 which shows Ω as a function of hν for the Cu 3d, Fe 3d, O 2p and As 4p states (relevant for the cuprate and pnictide superconductors). Such a dramatic signal loss (note the logarithmic scale) has to be compensated by a high of incoming photons, which requires advanced synchrotron radiation sources and beamline instrumentation. Another difficulty is that the soft-X-ray photoelectron wavelengths become comparable with the thermal motion amplitudes. The electron–phonon scattering then destroys the coherent spectral structures through their Debye–Waller amplitude reduction and broadening, and piling up an incoherent background reflecting k-integrated (Venturini et al., 2008; Gray et al., 2011). Low sample temperatures are therefore of paramount importance for SX-ARPES.
Here, we describe the concepts and technical realisation of the new SX-ARPES endstation installed at the ADRESS beamline. We illustrate its performance with a few pilot scientific cases which highlight the benefits of SX-ARPES, in particular in application to three-dimensional materials and buried heterostructures.
2. Concepts and geometry
The geometry of our SX-ARPES experiment (corresponding to the normal emission) is sketched in Fig. 2. The X-rays come to the sample at a grazing-incidence angle of 20°. The analyzer lens axis is perpendicular to the sample surface. The incident beam and analyzer lens form the vertical measurement plane (MP). The manipulator is mounted in the horizontal axis orientation and delivers the primary and tilt rotations.
This less conventional experimental geometry was dictated by the following concepts.
2.1. Incidence angle
The optimal X-ray incidence angle is determined by maximization of the electromagnetic field absorption within the relatively small λ. Following Henke's seminal ideas (Henke, 1972), the following formula can be derived for the normal-emission photocurrent IPE as a function of the X-ray grazing-incidence angle α,
where R(α) is the reflection coefficient of X-rays and d(α) their (for details see Strocov, 2013). We used this expression to calculate IPE(α) from valence states of two common materials, Cu and GaAs, at the two ends of our hν range. The numerical values of R and d(α) were taken from the X-ray database (Henke et al., 1993) and those of λ as the inelastic from Powell et al. (1999) as compiled in the NIST Standard Reference Database 82 (available at https://www.nist.gov/srd/nist82.cfm ) and calculated with the TPP-2M formula. The results are shown in Fig. 3.
The general trends appear fairly material-independent. When going towards more grazing angles, IPE(α) first gradually decreases proportional to (sinα)−1 and then sharply increases near the critical reflection angle αc when the electromagnetic field concentrates in the near-surface region where the photoelectrons come from [for a physical picture of the interplay of the X-ray reflection, penetration and photoelectron escape, see Strocov (2013)]. We note that our results radically differ from the previous works based on Henke's formalism (for a review see Fadley et al., 2003) whose IPE(α) showed a plateau in the region of less-grazing angles and only a moderate increase around αc. The difference comes because our formalism (1) assumes that the X-ray footprint on the sample always stays within the analyzer field of view, the situation typical of the nowadays synchrotron instrumentation delivering a beam focused to a few micrometers. Henke's formula (Henke, 1972) assumed the opposite situation which multiplied IPE by the sinα factor.
The IPE peak in Fig. 3 identifying the optimal α appears around 8° for 300 eV and 2° for 1600 eV, obviously going more grazing with energy. This suggests an experimental geometry with α = 8° corresponding to the low-energy end of our hν range. However, technical restriction of our manipulator have forced us to relax α to 20°. Such a less-aggressive angle also (i) helps reduce the vibration sensitivity; and (ii) allows more room for variation of α to change the emission angle without dramatic intensity effects. Anyway, Fig. 3 shows that the gain of IPE(α) with our α = 20° compared with α = 45° used in the conventional ARPES set-ups is a factor of more than two throughout our energy range.
2.2. Manipulator and MP orientation
Going to grazing incidence blows up the X-ray footprint on the sample proportionally to (sinα)−1. This may become a problem for ARPES measurements, because the photoelectron source extension along the analyzer slit above a characteristic size of ∼100 µm starts to deteriorate the angular resolution. Furthermore, larger footprints will also complicate experiments on inhomogeneous and mosaic samples. The focused X-ray beam delivered by a synchrotron source has an elliptical shape with the horizontal size SH much larger than the vertical one SV. Therefore, the sample should be inclined to the grazing incidence by rotation around the horizontal axis to blow up the smaller SV rather than the larger SH. This dictates the horizontal manipulator axis orientation perpendicular to the MP.
SV is defined by the demagnification D of the exit slit s and aberration limit SA of the refocusing optics as SV = [(sD)2+SA 2]1/2. In our case with D = 0.305 and SA = 10 µm, a realistic slit opening s = 20 µm defines the vertical X-ray footprint on the sample SV/sinα more than twice smaller than SH = 73.6 µm. This excludes any effect of the grazing incidence on the angular or spatial resolution of the experiment. In future we plan to further reduce both horizontal and vertical beam size using ellipsoidal refocusing optics with stronger demagnification.
2.3. Analyzer rotatability
The analyzer can be turned around the lens axis to orient the slit either parallel or perpendicular to the MP. We mostly use the parallel orientation, which enables the symmetries of the valence states to be explored by switching the incident k-space by changing the emission angle through the tilt rotation of the manipulator. The perpendicular slit orientation allows us to sample k-space by the primary manipulator rotation having a larger range.
from the linear vertical to horizontal to excite either symmetric or antisymmetric states. With this orientation we sampleFinally, we note that in the soft-X-ray energy range the navigation in k-space based on the momentum conservation should be corrected for the photon momentum pph = 2π/λph, λph being the photon wavelength, which becomes comparable with the (BZ) dimensions (see, for example, Venturini et al., 2008). The correction formulae tailored to our experimental geometry are compiled in Appendix A.
3. Technical realisation
3.1. Endstation layout
A sketch of our experimental set-up is shown in Fig. 4. The X-ray beam is focused on the sample with the toroidal refocusing mirror (RM) driven by high-precision hexapod mechanics (Strocov et al., 2010). The endstation consists of the following vacuum chambers:
(i) Analysis chamber (AC) where the photoelectron analyzer is installed. The absence of any other analytical tools there defeats the risks that the AC has to be vented for their reparations.
(ii) Transfer chamber (TC) which is a hub to distribute samples between all other chambers. It is equipped with a sample park. Sample cleavages on the manipulator cooled to low temperature are also performed in the TC. A LEED system allows control of the surface crystallinity. The bottom of the TC is conically reduced to a miniature vessel which is separated by a gate valve and serves as a bin for the cleavage products and dropped samples. This allows us to rescue the content of the bin without breaking vacuum in the TC.
(iii) Preparation chamber (PC) provides sample preparation facilities such as gas exposure, ion bombardment, heating up to 1473 K, and quartz balance controlled deposition of thin films from e-beam and effusion sources with the possibility to accept user sources. The PC is equipped with another LEED system.
(iv) Load lock (LL) for the sample introduction. It has an option for in situ transfer of samples from a vacuum suitcase. In particular, we use this option to introduce the samples prepared in another in-house set-up for pulsed laser deposition (PLD) which we routinely use to prepare samples of correlated transition metal oxides and their heterostructures.
In practice, the predominant majority of our samples can be prepared by in situ cleavage [layered materials, high-temperature superconductors (HTSCs), some oxide and perovskite systems] or do not require surface preparation at all (such as protected surfaces or less reactive PLD grown oxide systems). For these samples the radial layout of the vacuum chambers around the TC is particularly advantageous because (a) only one transfer operation is required for the samples on their way to the AC, which significantly increases the endstation throughput, and (b) these samples do not pass the PC, avoiding any risk of contamination by residuals of the surface preparations.
The endstation platform is mounted on retractable wheels which gives us the possibility of removing the endstation from the beamline in case of a serious reparation or to accept a user endstation. The platform is fixed in the beamline on metal studs in the SLS floor using a point-V-flat positioning system which ensures a reproducibility of better than ±20 µm.
3.2. Manipulator
The endstation is equipped with a CARVING manipulator (Patthey, 2010), the commercial version available from SPECS GmbH. The manipulator delivers three translational (DOFs) with an accuracy of 10 µm and three mechanically decoupled angular DOFs (primary, tilt and azimuthal rotations) with an accuracy of 0.05°. The operational range of the primary rotation is 270°, of the tilt ±30° and azimuth ±180°. The manipulator is equipped with a He flow cryostat with thermal shielding which allows working temperatures down to 10.5 K as measured on the clamps embracing the sample. Such low sample temperatures are sufficient to quench the destructive effects of electron–phonon scattering even for soft materials with low Debye temperatures.
The sample holders adopt the standard SLS design to ensure compatibility with other experimental stations at SLS including two PLD set-ups and the VUV-ARPES station at the SIS beamline. The standard holders are made of oxygen-free Cu and allow efficient cooling down of the samples to He temperatures. Modifications of these holders carry an integrated knife-anvil cleavage system (Månsson et al., 2007). Another type of sample holder is made of Mo and carries electron bombardment assemblies to heat up the samples to 1473 K.
3.3. Analyzer
The endstation uses the angle-multiplexing photoelectron analyzer PHOIBOS-150 from SPECS GmbH. The basic operational principles of these analyzers are described by Mårtensson et al. (1994) and Wannberg (2009). The ultimate energy resolution of our analyzer is better than 5 meV, which is not critical in our case because the combined resolution is limited by the beamline anyway. The angular resolution δθ of the analyzer is about 0.07° FWHM, which is in fact much better than planarity errors of typical cleaved surfaces. We note that high angular resolution is particularly important for the SX-ARPES experiments because the angular errors δθ, translated into K∥ according to the well known expression δK∥ = 0.5124(Ek)1/2sinδθ, are magnified by high kinetic energies Ek. At 1 keV, our δθ corresponds to δK∥ ≃ 0.02 A−1 or about 2% of the typical BZ dimensions.
The PHOIBOS-150 analyzer offers three angle-resolving (AR) modes whose ranges of accurate angular scale are ±12° (wide-angle mode, WAM), ±6° (low angular dispersion, LAD) and ±4° (medium angular dispersion, MAD). Fig. 5 shows the operational regions of these modes in coordinates of Ek and pass energy Epass. The larger their angular acceptance, the smaller their operational Ek range. The low Epass border is the maximal retarding ratio Ek/Epass delivering accurate angular scale.
The analyzer can acquire the data either in the fixed mode (the central Ek is fixed and the data are acquired simultaneously through the whole MCP energy window of ∼12% of Ek) or in the sweep mode (the central Ek sweeps through a certain energy range). Theoretically, in the ideal case of infinitely fast data transfer, the acquisition in the fixed mode is faster by a factor of two compared with that in the sweep mode within the same energy window. In practice, the data transfer slows down the sweep mode even more. Therefore, we normally use the fixed mode. Operation of the PHOIBOS-150 in this mode is possible owing to homogeneous illumination of the MCP and the absence of any mesh in front of it.
Finally, we should mention that all analyzers using MCPs suffer from stray intensity coming from photoelectrons which hit the areas between the MCP pores (see, for example, Taylor et al., 1983). These electrons create a cloud of which spread over the MCP surface to create the stray signal through all pores in the nearby region. This effect is illustrated in Fig. 6 which shows an image formed by a mask of five slits inserted at the hemisphere exit plane (a) and the corresponding angle-integrated spectrum (b). The charge spread effect is seen as profound feet of the peaks. A common method to suppress this is to apply larger event discrimination levels, but this results in non-linear response at larger intensities. Our method was to apply to the MCP surface a slight retarding bias Ubias (Maehl, 2012). Its optimal value, almost completely quenching the stray intensity but still not inducing any significant signal reduction or MCP illumination inhomogeneity, was found to be around 10% of Ep. Fig. 6(c) shows that the optimal Ubias almost completely removes the stray intensity at negligible decrease of the signal itself. A slight effect of this Ubias on the angular scale can be corrected from calibration measurements with the slit array (see below). We note that in contrast to the event discrimination method this solution ensures the intensity response linearity.
4. Software
In the ARPES experiment, one normally performs serial data acquisitions under variations of certain beamline, manipulator and analyzer parameters. Our software for this purpose is SmartGUI implemented in MATLAB. This programming environment was dictated by a variety of its built-in data-processing functions and availability of free libraries for the EPICS channel access to control the beamline. To control the analyzer voltages and acquisition of the CCD images, SmartGUI connects to the software SpecsLab2 coming with the PHOIBOS-150 analyzer. The acquired data are saved in the HDF5 format, which allows multidimensional data blocks supplemented by descriptive attributes such as the beamline and manipulator parameters. Another advantage of this format is its support by different data analysis platforms including MATLAB and IGOR Pro.
The minimalistic and intuitive table-like interface of SmartGUI is shown in Fig. 7(a). Each row represents a data acquisition run with its parameters specified in the groups File (data file name and comment), Beamline (polarization, hν and exit slit), Analyzer (angular mode, photoelectron Ek and pass energy Ep) and Manipulator (primary, tilt and azimuthal angle). The rows can be copied, pasted and cleared. What makes this GUI `smart' is that the inputs of hν and manipulator angles can be vectorized using the standard MATLAB notation xstart:Δx:xend. In our example in Fig. 7(a) this vectorized parameter (VP) is hν for the first three runs and the tilt angle for the last three. The vectorization automatically transforms the run to a series of acquisitions upon scanning through the VP values. The two-dimensional images of ARPES intensity as a function of the angle and energy, produced in each acquisition, are then stacked in one single three-dimensional data block as a function of the angle, energy and VP, which is then saved on the hard disk. The Ek vectorization has a different functionality: scalar input runs acquisition in the fixed mode, and vector input in the energy sweep mode.
On the lower level, SmartGUI expands the above vectorized table to create a raw table, shown in Fig. 7(b), where each line corresponds to a separate acquisition with scalar parameters. The manipulator translational coordinates are also included on this level. There is an option to manually edit all raw table inputs. A generic Interpolate tool also available on this level allows setting of each raw table parameter to automatically track the VP. This functionality is useful, for example, to set translational coordinates to track the rotation angle. Another common situation is measurement of k⊥ dependences away from the normal emission, when the emission angle should track hν to keep k∥ constant.
5. Alignment
The alignment procedure aims to bring the focused X-ray beam to the exact focal point of the analyzer. With our experimental geometry in Fig. 2, we performed the alignment in three steps:
(i) Focusing of the X-ray beam. For this purpose we used a fluorescent YAG crystal installed at the sample position, with the X-ray spot monitored using a 1 Mpixel CCD camera fitted with a telephoto objective. The crystal was placed at the nominal focal plane of the analyzer, for the PHOIBOS-150 at 40 mm from the lens, and centered on the analyzer lens axis as marked with a laser mounted at the back of the lens and shooting through it. Then we used the RM roll to steer the beam vertically towards the height of the analyzer axis on the sample (the roll adjustment has only a minor effect on focusing) and focused the beam with the RM pitch (which is associated with horizontal displacement of the beam).
(ii) Determination of the electrostatic focal axis (EFA) of the analyzer. Imperfections in alignment of elements in the analyzer electron optics, however small, normally result in a deviation of the EFA from the above geometrical lens axis up to a few hundreds of micrometers. We found the EFA by steering the RM in roll and pitch until the X-ray beam matched the EFA (the methods to identify the matching are described below).
(iii) Bringing the EFA to the focal position of the X-ray beam. This is achieved by mechanical adjustment of the whole endstation, carrying the fixed analyzer, according to the difference between the determined positions of the EFA and focused X-ray beam on the sample. Remnant misfits of the order of a few tens of micrometers can be compensated by fine tuning of the RM, with the limits of tunability without notable defocusing being in our case about ±25 µrad for the pitch and ±2 mrad for the roll.
We will now comment on the methods to control the beam/EFA matching. Whereas for the imaging (magnification) and transmission modes of the ARPES analyzer this is trivial, we will concentrate on the AR modes. In the direction perpendicular to the analyzer slit, the matching is simply the maximal photoemission intensity. In the direction parallel to the slit, the matching is connected to the angular scale. To investigate this connection, we used a slit array on top of the sample to define a pattern of emission angles in steps of 1°. Fig. 8(a) shows the corresponding ARPES images of homogeneous secondary-electron background, measured at the exact matching and with a mismatch of ±1 mm. The latter results in displacement and skewing of the angular scale. Therefore, the criterion of the beam/EFA matching is the straight angular scale. Our observations of these non-trivial effects were later confirmed by ray-tracing calculations (Maehl, 2012). For our analyzer, we found that the accurate angular scale is ensured as long as the mismatch does not exceed ±50 µm. We note that this naturally defines the maximal spot size to stay with the best angular resolution, which is exactly the figure of 100 µm discussed above. In routine experiments without the slit array, the beam/EFA matching can be conveniently controlled with the iris built into the PHOIBOS-150 lens to vary the angular acceptance. This is illustrated in Fig. 8(b) which shows AR images of secondary-electron background measured with reduced iris. Under the beam/EFA mismatch, these bands of illumination on the detector displace and skew exactly as the slit array images.
Switching between the analyzer modes slightly displaces the EFA, which again traces back to the alignment of elements in the analyzer electron optics. For our PHOIBOS-150 the displacements are up to 300 µm. These values are still small enough and can be compensated by fine adjustments of the RM without notable defocusing of the X-ray beam. With our high-precision RM mechanics, these adjustments are fully reproducible and, once determined, in routine experiments can be automatically switched with the analyzer modes. More problematic is the analyzer rotation to change the slit orientation, owing to wobble of the rotational mechanics and the EFA. In our case the latter displaces along the sample around 1.5 mm. The required RM adjustments, especially in pitch, would then notably defocus the X-ray beam. Therefore, to achieve the highest experimental accuracy, the slit orientation changes should be accompanied by mechanical re-adjustment of the endstation.
In practical experiments, certain variations of the sample height displace the X-ray footprint away from the EFA. To recover their exact matching, the sample is translated along the EFA. As discussed above, in the AR modes the matching is controlled through the signal intensity (if the analyzer slit is perpendicular to the MP) or using the iris (parallel to the MP). We note that commonly accepted in the ARPES experimental practice is to align the sample height using magnification or transmission analyzer modes, and then perform measurements in AR modes. However, this cannot be considered accurate because the EFA displacement between the modes can compromise the angular scale accuracy.
The achieved performance of our set-up in the AR modes is illustrated in Fig. 9(a) with typical slit array images in all three AR modes of our PHOIBOS-150. The images demonstrate an undistorted and fairly accurate angular scale. Fig. 9(b) shows typical results acquired with Ek scanning a wide energy range from 200 to 1300 eV. The angular scale is practically energy independent. We could note certain distortions only at very large Ek/Epass values. However, a closer look on all images in Fig. 9 reveals a tiny asymmetry of the angular dispersion, partly connected with biasing of the MCP in our PHOIBOS-150. Extending the standard angle correction algorithm of the SPECS analyzers, we routinely correct all these distortions at the post-processing stage by re-defining the angular scale of the acquired images with a third-order polynomial correction,
depending on the pixel position X in the angular direction and Y in the energy direction relative to the image center (X0, Y0). The coefficients aij depending on the particular AR mode and Ek/Epass are reproducible and have been determined by linear fitting of (2) over a series of experimental slit array images.
6. Application examples
6.1. Looking three-dimensional: electronic structure of VSe2
Our first example illustrates the ability of SX-ARPES to resolve electronic structure in three-dimensional k-space in application to VSe2. The chalcogen–metal–chalcogen layered structure of this material results in its quasi-two-dimensional properties (Woolley & Wexler, 1977). However, the out-of-plane Se pz states retain pronounced three-dimensional character characterized by their k⊥ dispersion range of a few eV. Studies of three-dimensional electronic structure of such materials with VUV-ARPES are difficult because of non-free-electron character and large intrinsic k⊥ broadening of their low-energy final states (see Strocov et al., 1997, 2006, and references therein).
The experiments used s-polarization of incident X-rays, which normally delivers intensity a few times higher than p-polarization. The analyzer slit was oriented perpendicular to the MP. The sample temperature was 10.7 K. Variations of Ek, emission angle θ and hν were rendered to variations of the three-dimensional k-vector taking into account pph (see Appendix A) and assuming free-electron final states with an inner potential V0 = 7.5 eV.
Fig. 10(a) sketches the BZ of VSe2. Fig. 10(b) shows the experimental ARPES image I(E, k∥) along the M′ΓM line measured with hν = 885 eV. The combined (beamline and spectrometer) energy resolution ΔE was set here to ∼120 meV and the acquisition time was only 7 min. Fig. 10(c) shows the region near the EF measured with ΔE sharpened to ∼70 meV and acquisition time increased to 40 min. Fig. 10(d) presents the I(E, k⊥) map along the perpendicular ΓA direction acquired with hν varying from 845 to 960 eV.
The ARPES images clearly show the V 3d bands near EF forming the Fermi surface (FS), as well as the Se 4p ones deeper in the Two points must be noted:
(i) Excellent statistics of the experimental data is remarkable in view of the Ω dramatically reducing in the soft-X-ray energy range. In the atomic wavefunctions approximation, Ω drops by a factor of ∼1800 for the V 3d states and ∼34 for the Se 4p states compared with a typical VUV-ARPES energy of 50 eV (Yeh & Lindau, 1985). Evidently, the key factor to break through the drop of Ω has been the high delivered by the ADRESS beamline.
(ii) Without any image enhancement, the spectral structures demonstrate profound amplitudes and angular contrast as well as the absence of any significant k-integrated background. Obviously, our low working temperatures are sufficient to quench the destructive electron–phonon interaction effects even for VSe2 having quite a low Debye temperature of 220 K.
Fig. 11(a) sketches the FS of VSe2 (Woolley & Wexler, 1977). Reliable control over k⊥ in our experiment has allowed us to slice the FS in different planes. Fig. 11(b) shows the ΓALM slice acquired under variations of hν from 845 to 960 eV to span k⊥. Figs. 11(c)–11(e) present the ΓKM (k⊥ = 0) and AHL (k⊥ = ΓA) slices as well as the slice at half of the BZ height (k⊥ = ΓA/2) acquired under variations of θ to span k∥. Each map was acquired within ∼4 h. We note that due to high Ek the variations of k⊥ with k∥ are small compared with the VUV-ARPES energies.
The FS topology with its characteristic sixfold symmetry in the BZ symmetry planes and threefold symmetry in the BZ interior is extremely clear in the experimental maps. Its sharpness in k-space is much superior to the previous VUV-ARPES results (Terashima et al., 2003).
We note that our experimental electronic structure of VSe2 shows a textbook clarity, which identifies an excellent definition of k⊥ achieved by virtue of free-electron final states and their small k⊥ broadening as well as smooth matrix elements delivered by soft-X-ray photon energies. A detailed account of these results, in particular analysis of three-dimensional warping of the FS to form exotic three-dimensional charge density waves, is given by Strocov et al. (2012).
6.2. Looking deep: electronic structure of GaAs behind a protective layer
Our second example illustrates the penetrating ability of SX-ARPES achieved by virtue of the increasing photoelectron λ. Our samples were p-doped GaAs(100) thin films grown by molecular beam They were protected from oxidation and contamination from air by deposition of a capping layer of amorphous As with a thickness of 5–10 Å. These GaAs/As samples were introduced into the analysis chamber directly from air without any surface treatment. The measurements were performed with the analyzer slit oriented in the MP which allowed us to investigate the symmetries of the valence states.
Fig. 12 shows the experimental ARPES images acquired on our GaAs/As samples along the ΓKX direction with increasing hν. The combined ΔE in these measurements, not critical on resolution, was set to ∼200 meV, and the acquisition time was 5 min per image. The indicated hν values were chosen to keep k⊥ in the Γ-point based on the free-electron dispersion of the final states with an empirical V000 value of 10 eV. Here we used circularly polarized incident X-rays.
The low-energy ARPES image is dominated by a non-dispersive signal from the amorphous As overlayer. With increase of hν, the images gradually develop astonishingly clear dispersive structures formed by the coherent photoelectrons coming from the GaAs underlayer, with their notable shift in angle with hν caused by the increase of the transferred pph. The development reflects weakening of the incoherent photoelectron scattering in the As overlayer with Ek resulting in an increase of photoelectron λ. We note that elastic photoelectron scattering off the As atoms in random positions is also incoherent and forms only a non-dispersive background. By comparison of the experimental images with any band calculations for GaAs one immediately identifies the textbook manifold of the light-hole (LH), heavy-hole (HH) and spin-orbit (SO) split bands, as indicated on the right-hand panel.
Another textbook example is a linear dichroism of the ARPES signal. With our sample and slit orientation the MP coincides with the ΓXU symmetry plane. Fig. 13 shows the ARPES images along the ΓKX directions (with Ek, θ and hν now rendered into k) measured with different X-ray polarizations. The circular polarization shows up all bands. The p-polarization (electric field vector E ∥ MP) picks up the HH and SO bands, whereas the s-polarization (E ⊥ MP) picks up the LH band. The selection rules (see, for example, Hermanson, 1977) immediately identify then the HH and SO states as symmetric and the LH state as antisymmetric relative to the ΓXU plane.
Further details of our experiments on GaAs/As can be found by Kobayashi et al. (2012). We note that applications of SX-ARPES to samples protected by a capping layer break through the necessity of laborious and, in many cases, destructive procedures to prepare atomically clean surfaces of thin film samples for the ARPES experiment. Samples can be grown in one laboratory (in our case at Tokyo University) and ex situ transferred to another one (at SLS) for exhaustive characterization of their native electronic structure with SX-ARPES. This opens new frontiers in diagnostics of electronic devices (such as those based on heterostructures) aimed at optimization of the manufacturing procedures with respect to particular properties of the electronic structure.
6.3. Looking resonantly: ferromagnetic impurity band in (Ga,Mn)As
The above method of looking through the As protective layer was applied for investigation of diluted magnetic semiconductor (Ga,Mn)As. This is a paradigm diluted magnetic semiconductor which shows ferromagnetism induced by doped hole carriers. Despite numerous experimental and theoretical investigations, even basic questions about its electronic structure remain open such as the energy position of the Mn 3d states in the and their with the host GaAs bands (Ohya et al., 2011).
To reveal the Mn 3d states in (Ga,Mn)As we have conducted resonant SX-ARPES measurements at the Mn L3 Our sample had a Mn concentration of only 2.5% which is just above the Fig. 14(a) shows the spectrum which exhibits two peaks at 640 and 640.5 eV. The first peak corresponds to the ferromagnetic substitutional Mn ions, and the second one to the paramagnetic oxidized Mn2+ ions segregated in the surface region (Ohe et al., 2009). A series of resonant ARPES images measured with variation of hν along the spectrum is shown in Fig. 14(b). The image taken at the ferromagnetic peak of 640 eV immediately reveals a Mn 3d-derived impurity band (IB) popping up just below EF. The next ARPES image taken at the paramagnetic peak of hν = 640.5 eV shows no more than its afterglow. Therefore, this IB is due to the ferromagnetic Mn ions and, located ∼300 meV below the EF, induces the ferromagnetism of the charge carriers in (Ga,Mn)As. Further linear dichroism analysis of the resonant spectra, described by Kobayashi et al. (2013), reveals significant of the IB with the LH band of the host GaAs.
This SX-ARPES study has thus immediately resolved the long-disputed ambiguities about the energy position of the IB and its et al., 2011; Gray et al., 2012). Its dispersionless character suggests that the (Ga, Mn)As electronic structure should be understood starting from the local Anderson impurity model to describe of the transition metal d-orbitals with the host band electrons. Further details of this study can be found in Kobayashi et al. (2013).
with the GaAs bands (Ohya7. Comparison of VUV- and SX-ARPES
As a final word, we compare the advantages, weaknesses and main applications of the VUV- and SX-ARPES.
(i) Energy resolution. The state-of-the-art VUV-ARPES is characterized by combined ΔE of the order of a few meV, which allows analysis of low-energy physics such as kinks in the electron dispersions informing of quasiparticle interactions. In contrast, the SX-ARPES figures are up to a few tens of meV, which hides the low-energy physics but allows investigation of physical phenomena of the global energy scale.
(ii) Probing depth. VUV-ARPES is characterized by λ of a few Å, which makes it extremely surface sensitive and limits its applications to atomically clean surfaces. The increase of λ by a few times in SX-ARPES makes it more bulk sensitive and allows applications to real-world systems (such as heterostructures) often without surface preparation.
(iii) Final states and resolution in k⊥. Ill k⊥ definition of the low-energy final states in VUV-ARPES may severely impair reliable investigations of the three-dimensional band dispersions. SX-ARPES solves this problem by virtue of the free-electron-like dispersions and small k⊥ broadening of the final states at higher energies.
(iv) Matrix elements. Complicated matrix-element effects in VUV-ARPES often severely impair data analysis in terms of the spectral function. In contrast, the matrix elements in SX-ARPES are reduced essentially to atomic cross sections with their monotonous energy and k-dependence.
(v) Instrumental requirements. Dramatic loss of the Ω in the SX-ARPES energy range makes this technique much more demanding on the performance of the synchrotron radiation sources compared with VUV-ARPES. Also higher are requirements on the ARPES analyzer angular resolution.
VUV- and SX-ARPES techniques find, therefore, different and complementary scientific applications. Those of SX-ARPES can be illustrated by numerous research highlights achieved at our facility since the beginning of its operation in early 2011. On top of the above VSe2, GaAs/As and GaMnAs examples, they include: (i) polarization dependence and alternating FS shapes in three-dimensional pnictide HTSCs, identifying matrix element effects due to intra-cell interference effects; (ii) three-dimensional effects between sp- and f-states in heavy-fermion EuRh2Si2 (Höppner et al., 2013); (iii) topological surface state in the three-dimensional of PbBi4Te7, with spatial oscillations of its wavefunction reflected by hν dependence of ARPES intensity; (iv) three-dimensional electronic structure of an exotic system without inversion symmetry BiTeI (Landolt et al., 2012); (v) effects in the bulk of LaRu2P2 related to the pnictide HTSCs (Razzoli et al., 2012); (vi) FS of buried layers in LaNiO3/LaAlO3 heterostructures; (vii) depth localization, band structure and FS of two-dimensional electron gas in mixed-valence LaAlO3/SrTiO3 systems (Cancellieri et al., 2013); (viii) standing X-ray waves excited ARPES of multilayer heterostructures allowing depth-resolved profiling of its electronic structure (Gray et al., 2010), etc.
8. Summary
We have presented the concepts and technical realisation of the high-performance SX-ARPES endstation installed at the ADRESS beamline of SLS. The facility operates in the hν range from 300 to 1600 eV. Conceptually, the experimental geometry uses a grazing X-ray incidence angle of 20° to increase the photoyield, and the horizontal sample rotation axis to restrict the X-ray footprint on the sample. Technically, the endstation adopts a radial layout of the vacuum chambers to allow most efficient sample manipulation. The high-precision CARVING manipulator delivers three angular DOFs allowing accurate navigation in k-space. The sample is liquid-He cooled down to 10.5 K which reduces the incoherent electron–phonon scattering effects to negligible. The rotatable analyzer PHOIBOS-150 is normally used with the parallel slit orientation allowing symmetry analysis of the valence states. Optimization of the MCP bias minimizes the spectral distortions due to the charge spread effects. To align the ARPES spectrometer, we have developed new strategies to match the X-ray beam with the analyzer EFA. This has resulted in a highly accurate angular scale verified through the whole operational energy range. Efficient acquisition and processing of multidimensional ARPES data under variation of hν and emission angles uses the software SmartGUI based on the concept of vectorized inputs.
The grazing X-ray incidence experimental geometry, fast data acquisition in the fixed mode and, most important, the ADRESS beamline delivering high 13 photons s−1 (0.01% bandwidth)−1 have allowed breakthrough of the dramatic loss of the Ω with energy. Typically, ARPES images of publication quality are delivered in a few minutes. The achieved data acquisition rate has allowed us to extend the SX-ARPES experiment from bulk materials to buried heterostructures and impurities.
above 10Three application examples expose different aspects of the SX-ARPES technique. (i) The ability to explore the three-dimensional electronic structure demonstrated on VSe2. In addition to high definition of the k⊥ momentum achieved due to increasing photoelectron λ, SX-ARPES benefits from free-electron final states and smooth atomic-like matrix elements. (ii) The ability to access buried interfaces and heterostructures due to increasing λ is demonstrated on As-capped GaAs. (iii) The ability to resonantly excite certain atomic species and explore the elemental composition of the valence states is demonstrated by resolving the Mn impurity band which induces ferromagnetism in (Ga, Mn)As. These examples demonstrate that SX-ARPES with its typical energy resolution of a few tenths of meV finds applications different and complementary to those of high-resolution VUV-ARPES focused on the quasiparticle interactions. The SX-ARPES keywords are global energy scale, large probing depth, three-dimensional electronic structure, buried heterostructures and impurities, elemental and chemical state specificity, X-ray standing waves, etc.
Further information about our SX-ARPES facility including the operation manuals, technical notes as well as data-processing software is available at the ADRESS beamline webpage, https://www.psi.ch/sls/adress/ .
APPENDIX A
Photon momentum corrections
The geometry of the SX-ARPES experiment at the ADRESS beamline is shown in Fig. 15. The horizontal incident photon beam and analyzer axis form the vertical measurement plane (MP). The analyzer axis is inclined by α = 20°. The manipulator axis is horizontal and perpendicular to the MP. The parallel momentum is varied through the primary manipulator rotation θM, and through the tilt φM. The analyzer slit can be oriented either in the MP or perpendicular to it, θA and φA being the angles along the analyzer slit in these two cases. The origin and sign convention for θM, φM, θA and φA are indicated in Fig. 15. Note that with this convention the increase of each of these coordinates increases the corresponding k∥.
The photon momentum is calculated as
Hereinafter the momenta are measured in Å−1 and energies in eV.
With our sign convention, the two parallel momentum components of the initial (photohole) state can be found as
where eϕ > 0 is the workfunction, EB < 0 is the binding energy, φA = 0 if the slit is oriented in the MP and θA = 0 if perpendicular to it, and is the surface normal angle relative to the analyzer axis. Note that (i) the second term accounts for pph and does not depend on the θA and φA angles along the slit; (ii) owing to rather grazing light incidence in our case the photon momentum correction to is small near the normal emission (at hν = 1000 eV, θM = 0 and φM = 10°, for example, the correction is only ∼0.03 Å−1) but increases at larger θM and φM.
For the perpendicular momentum,
where V000 > 0 is the inner potential relative to EF.
Acknowledgements
We thank J. H. Dil and C. S. Fadley for valuable discussions, and C. Quitmann, J. F. van der Veen and J. Mesot for their encouragement and continuous support of the SX-ARPES project at SLS. Our thanks extend to T. Kampen and S. Maehl from SPECS GmbH for valuable advice and support of the alignment and operation of the PHOIBOS-150 analyzer.
References
Cancellieri, C., Reinle-Schmitt, M. L., Kobayashi, M., Strocov, V. N., Schmitt, T. & Willmott, P. R. (2013). Phys. Rev. Lett. 110, 137601. Web of Science CrossRef PubMed Google Scholar
Fadley, C. S., Yang, S.-H., Mun, B. S. & Garcia de Abajo, F. J. (2003). Solid-State Photoemission and Related Methods: Theory and Experiment, edited by W. Schattke and M. A. Van Hove, pp. 404–432. Berlin: Wiley-VCH. Google Scholar
Gray, A. X., Minár, J., Ueda, S., Stone, P. R., Yamashita, Y., Fujii, J., Braun, J., Plucinski, L., Schneider, C. M., Panaccione, G., Ebert, H., Dubon, O. D., Kobayashi, K. & Fadley, C. S. (2012). Nat. Mater. 11, 957. Web of Science CrossRef PubMed Google Scholar
Gray, A. X., Papp, C., Balke, B., Yang, S.-H., Huijben, M., Rotenberg, E., Bostwick, A. A., Ueda, S., Yamashita, Y., Kobayashi, K., Gullikson, E. M., Kortright, J. B., DeGroot, F. M. F., Rijnders, G., Blank, D. H. A., Ramesh, R. & Fadley, C. S. (2010). Phys. Rev. B, 82, 205116. CrossRef Google Scholar
Gray, A. X., Papp, C., Ueda, S., Balke, B., Yamashita, Y., Plucinski, L., Minár, J., Braun, J., Ylvisaker, E. R., Schneider, C. M., Pickett, W. E., Ebert, H., Kobayashi, K. & Fadley, C. S. (2011). Nat. Mater. 10, 759. Web of Science CrossRef PubMed Google Scholar
Henke, B. L. (1972). Phys. Rev. A, 6, 94–104. CrossRef Web of Science Google Scholar
Henke, B. L., Gullikson, E. M. & Davis, J. C. (1993). At. Data Nucl. Data Tables, 54, 181 (https://henke.lbl.gov/optical_constants/ ). Google Scholar
Hermanson, J. (1977). Solid State Commun. 22, 9–11. CrossRef CAS Web of Science Google Scholar
Höppner, M., Seiro, S., Chikina, A., Fedorov, A., Güttler, M., Danzenbächer, S., Generalov, A., Kummer, K., Patil, S., Molodtsov, S. L., Kucherenko, Y., Geibel, C., Strocov, V. N., Shi, M., Radovic, M., Schmitt, T., Laubschat, C. & Vyalikh, D. V. (2013). Nat. Commun. 4, 1646. PubMed Google Scholar
Hüfner, S. (1996). Photoelectron Spectroscopy: Principles and Applications. Berlin: Springer. Google Scholar
Kobayashi, M., Iriya, M., Takeda, Y., Fujimori, A., Schmitt, T., Patthey, L., Ohya, S., Tanaka, M., Oshima, M., Strocov, V. N. (2013). Available at https://arxiv.org/abs/1302.0063 . Google Scholar
Kobayashi, M., Muneta, I., Schmitt, T., Patthey, L., Ohya, S., Tanaka, M., Oshima, M. & Strocov, V. N. (2012). Appl. Phys. Lett. 101, 242103. Web of Science CrossRef Google Scholar
Landolt, G., Eremeev, S. V., Koroteev, Y. M., Slomski, B., Muff, S., Neupert, T., Kobayashi, M., Strocov, V. N., Schmitt, T., Aliev, Z. S., Babanly, M. B., Amiraslanov, I. R., Chulkov, E. V., Osterwalder, J. & Dil, J. H. (2012). Phys. Rev. Lett. 109, 116403. Web of Science CrossRef PubMed Google Scholar
Maehl, S. (2012). Private communication. Google Scholar
Månsson, M., Claesson, T., Pailhés, S., Chang, J., Mesot, J., Shi, M., Patthey, L., Momono, N., Oda, M., Ido, M., Karlsson, U. O. & Tjernberg, O. (2007). Rev. Sci. Instrum. 78, 076103. PubMed Google Scholar
Mårtensson, N., Baltzer, P., Brühwiler, P. A., Forsell, J.-O., Nilsson, A., Stenborg, A. & Wannberg, B. (1994). J. Electron Spectrosc. Relat. Phenom. 70, 117–128. Google Scholar
Ohe, J.-I., Tomoda, Y., Bulut, N., Arita, T., Nakamura, K. & Maekawa, S. (2009). J. Phys. Soc. Jpn, 78, 083703. Web of Science CrossRef Google Scholar
Ohya, S., Takata, K. & Tanaka, M. (2011). Nat. Phys. 7, 342. CrossRef Google Scholar
Patthey, L. (2010). Private communication. Google Scholar
Powell, C. J., Jablonski, A., Tilinin, I. S., Tanuma, S. & Penn, D. R. (1999). J. Electron Spectrosc. Relat. Phenom. 98/99, 1–15. Web of Science CrossRef Google Scholar
Razzoli, E., Kobayashi, M., Strocov, V. N., Delley, B., Bukowski, Z., Karpinski, J., Plumb, N. C., Radovic, M., Chang, J., Schmitt, T., Patthey, L., Mesot, J. & Shi, M. (2012). Phys. Rev. Lett. 108, 257005. Web of Science CrossRef PubMed Google Scholar
Schmitt, T., Strocov, V. N., Zhou, K., Schlappa, J., Monney, C., Flechsig, U. & Patthey, L. (2013). J. Electron Spectrosc. Relat. Phenom., doi:10.1016/j.elspec.2012.12.011. Google Scholar
Sekiyama, A., Kasai, S., Tsunekawa, M., Ishida, Y., Sing, M., Irizawa, A., Yamasaki, A., Imada, S., Muro, T., Saitoh, Y., Onuki, Y., Kimura, T., Tokura, Y. & Suga, S. (2004). Phys. Rev. B. 70, 060506(R). CrossRef Google Scholar
Solterbeck, C., Schattke, W., Zahlmann-Nowitzki, J.-W., Gawlik, K.-U., Kipp, L., Skibowski, M., Fadley, C. S. & Van Hove, M. A. (1997). Phys. Rev. Lett. 79, 4681–4684. CrossRef CAS Web of Science Google Scholar
Strocov, V. N. (2003). J. Electron Spectrosc. Relat. Phenom. 130, 65–78. Web of Science CrossRef CAS Google Scholar
Strocov, V. N. (2013). J. Synchrotron Rad. 20, 517–521. Web of Science CrossRef CAS IUCr Journals Google Scholar
Strocov, V. N., Krasovskii, E. E., Schattke, W., Barrett, N., Berger, H., Schrupp, D. & Claessen, R. (2006). Phys. Rev. B, 74, 195125. CrossRef Google Scholar
Strocov, V. N., Schmitt, T., Flechsig, U., Schmidt, T., Imhof, A., Chen, Q., Raabe, J., Betemps, R., Zimoch, D., Krempasky, J., Wang, X., Grioni, M., Piazzalunga, A. & Patthey, L. (2010). J. Synchrotron Rad. 17, 631–643. Web of Science CrossRef CAS IUCr Journals Google Scholar
Strocov, V. N., Shi, M., Kobayashi, M., Monney, C., Wang, X. Q., Krempasky, J., Schmitt, T., Patthey, L., Berger, H. & Blaha, P. (2012). Phys. Rev. Lett. 109, 086401. Web of Science CrossRef PubMed Google Scholar
Strocov, V. N., Starnberg, H. I., Nilsson, P. O., Brauer, H. E. & Holleboom, L. J. (1997). Phys. Rev. Lett. 79, 467–470. CrossRef CAS Web of Science Google Scholar
Suga, S., Shigemoto, A., Sekiyama, A., Imada, S., Yamasaki, A., Irizawa, A., Kasai, S., Saitoh, Y., Muro, T., Tomita, N., Nasu, K., Eisaki, H. & Ueda, Y. (2004). Phys. Rev. B, 70, 155106. Web of Science CrossRef Google Scholar
Taylor, R. C., Hettrick, M. C. & Malina, R. F. (1983). Rev. Sci. Instrum. 54, 171. CrossRef Google Scholar
Terashima, K., Sato, T., Komatsu, H., Takahashi, T., Maeda, N. & Hayashi, K. (2003). Phys. Rev. B, 68, 155108. CrossRef Google Scholar
Venturini, F., Minár, J., Braun, J., Ebert, H. & Brookes, N. B. (2008). Phys. Rev. B, 77, 045126. CrossRef Google Scholar
Wannberg, B. (2009). Nucl. Instrum. Methods Phys. Res. A, 601, 182–194. Web of Science CrossRef CAS Google Scholar
Woolley, A. M. & Wexler, G. (1977). J. Phys. C, 10, 2601. CrossRef Google Scholar
Yeh, J. J. & Lindau, I. (1985). At. Data Nucl. Data Tables, 32, 1 (https://ulisse.elettra.trieste.it/services/elements/WebElements.html ). Google Scholar
© International Union of Crystallography. Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, click here.