Abstract
We address the origin of the recently discovered close correspondence between the charge ordering wave vectors and the momentum-space separation between the tips of the Fermi arcs seen in angle-resolved photoemission measurements in underdoped high-temperature superconducting cuprates. This observation has been interpreted as a signature of charge order forming as an instability of pre-existing Fermi arcs of a different origin. We calculate the Fermi surface spectral weight for a charge density-wave model, considering a Fermi surface, charge ordering wave vectors and short correlation lengths similar to those found experimentally. We show that the observation of wave vectors spanning the tips of remnant Fermi surface sections is a natural consequence of a Fermi surface having been reconstructed by charge order. The presence of short-range charge order therefore cannot be ruled out as a potential origin of the observed Fermi arcs.
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Introduction
The discovery of charge ordering in a growing number of underdoped high-temperature superconducting cuprates raises the possibility of this type of order being universal to the normal state [1–8]. Evidence for charge order is found in x-ray scattering [7, 8] and Raman spectroscopy [6] experiments at temperatures as high as the pseudogap onset . Comparisons of the charge ordering wave vectors found in x-ray scattering and scanning tunneling microscopy (STM) measurements with the Fermi surface spectral weight found in angle-resolved photoemission spectroscopy (ARPES) have revealed an emerging pattern. The charge ordering wave vectors are found to span the tips of the residual nodal segments of spectral weight at the Fermi energy within the pseudogap regime termed 'Fermi arcs' [7–9]. It has been postulated [7, 8] that these observations point to a scenario in which the arcs themselves result from a primary antinodal Fermi surface instability that is distinct from charge ordering (see figure 1(b)) [10, 11].
In this paper, we show that charge ordering wave vectors spanning the tips of the Fermi arcs are a natural consequence of Fermi surface reconstruction by charge density-wave order [2, 3, 12–18] (see figure 1(a)). On calculating the ARPES spectral weight, considering a scenario in which a Fermi surface instability is caused by charge ordering, we find a correspondence between charge ordering wave vectors and the Fermi arc tips to be a robust feature of the reconstructed Fermi surface. Such a behavior mirrors that seen in several conventional charge density-wave materials [19–22]. Our calculations therefore indicate that charge ordering cannot be ruled out as a potential origin of Fermi arcs observed in cuprate superconductors [7–9].
Fermi surface model
For the purposes of the present calculations, the specific mechanism for the charge ordering is immaterial, with two scenarios involving an antinodal Fermi surface instability [12–14] and Fermi surface 'hot spots' [17, 18] having been proposed. In the absence of an accepted formalism for Fermi surface reconstruction in the cuprates that includes the effects of strong correlations, we adopt the former approach within a single particle scheme [16, 23, 24]. We consider a Fermi surface that is conducive to charge ordering instabilities of characteristic wave vector and in the antinodal regions of momentum-space, as depicted in figure 1(a). A Fermi surface of this geometry is produced by the tight binding dispersion
on setting and , in which we neglect small differences in the lattice dimensions in the and directions. Here, t, and are the nearest, next nearest and next next nearest hopping parameters, respectively, while μ is the chemical potential. These parameters have been chosen to yield a Fermi surface shape qualitatively similar to that measured [7, 25–27].
Long-range charge order
To model the Fermi surface spectral weight resulting from long-range charge order caused by an antinodal instability, we consider a biaxial density-wave picture, as shown schematically in figure 1(a). We consider states with relative translations of the ordering wave vectors and [15, 16, 23, 28] to be respectively coupled by and , where and refer to the approximate dimensions of the wave vectors (0.2 0.3) found in x-ray scattering and STM experiments [2–4, 7, 8, 12–14]. A reconstructed Fermi surface consisting of antinodal gaps at both and [15, 16, 28] and a nodal electron pocket consistent with quantum oscillation [9, 29] and negative Hall effect [30] measurements is produced by a Hamiltonian of the form
on adopting suitable forms for and [15–17]. The diagonal elements , , of equation (2) list the original dispersion in equation (1) translated by all possible multiples and combinations of and . By approximating with a rational fraction , a full Hamiltonian consisting of a matrix can be constructed, from which reconstructed electronic bands are obtained upon diagonalization [16]. Here we neglect bilayer coupling, which, while important for understanding the detailed waveform of quantum oscillations [31] and obtaining values of and closer to those in experiment [24] in the bilayer cuprates, is less important for calculating the spectral weight.
The Fermi surface spectral weight is obtained by setting for the excitation energy in the spectral function [32]
where
is the corresponding Greenʼs function for the Hamiltonian given by equation (2). The subscript '' refers to the first diagonal element of the inverted matrix, where I is the identity matrix and represents a simple elastic energy level broadening [28].
Short-range charge order
To simulate the effect of a finite charge order correlation length, as seen in x-ray scattering and STM experiments, we introduce a Gaussian statistical broadening of δ [7] (using ) in which is the standard deviation and ξ is the correlation length. It is convenient, in this case, to consider a simplified Hamiltonian of the form [28]
noting that for period n order the wave vectors and are equivalent to and , respectively. The statistically broadened spectral weight is then obtained by setting in
where
Below we show that the spectral weight given by equation (6) produces very similar results to that given by equation (3) on taking the limit (i.e., figures 2(c) and 4(a)), which corresponds to long-range order (), justifying the use of equation (5) in calculating the spectral weight.
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Figure 2(a) shows the unreconstructed Fermi surface according to equation (1) in which μ has been adjusted to produce a Fermi surface corresponding to a hole filling of p = 0.08 (relative to the half-filled band). Figure 2(b) shows the reconstructed Fermi surface calculated for the same hole doping using (which lies within the range of values found in x-ray scattering and STM experiments [2–4, 7, 8, 12–14]). We use a form and (which has the property of being large in the antinodal regions of the Brillouin zone where a gap is created at the Fermi surface [16]) 3 and . These parameters are the same as those used in [16]. On calculating in figure 2(c) for the full Hamiltonian given by equation (2), the Fermi arcs obtained display similarities to those found by Li et al [15] and Norman [28]. Here they correspond to one side of the reconstructed electron pocket in figure 2(b) (where they are plotted in red).
A salient feature of the Fermi surface spectral weight calculated using our charge ordering model in figure 2(c) is that the Fermi arc tips are separated in momentum-space by and . This arises from the correspondence of the 'Fermi arc' to one side of the reconstructed electron pocket (plotted in red in figure 2(b)) in this charge ordering model. The spacing between reconstructed electron pockets in the repeated Brillouin zone (shown in figure 2(b)) is consequently given by and 4 , yielding a separation between Fermi arc tips also of and . A similar connection between the ends of the arcs in the spectral weight and vector is found in well-known model charge density-wave systems [19–22], as shown for the case of SmTe in figure 3.
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Standard image High-resolution imageIn figure 4 we show that the charge ordering wave vectors span the tips of the Fermi arcs irrespective of the correlation length ξ. For in figures 2(c) and 4(a), our calculations find band backfolding features at the ends of the Fermi arcs that are associated with the reconstructed electron pocket in figure 2(b). These features become significantly smeared on including a correlation length ξ = 100 Å in figure 4(b), and more so on simulating the effect of a finite ARPES experimental resolution in figure 4(c), potentially explaining their absence in ARPES measured in materials with shorter correlation lengths [7, 8, 12, 14, 27]. Our model also produces a weak spectral weight within the gap in the antinodal regions of the Brillouin zone that is congruent with the unreconstructed Fermi surface. A residual antinodal spectral weight appears to be observed in BiSrLaCuO ARPES data [25].
Conclusion
The recent discoveries of short-range or long-range charge order extending to high temperatures within the pseudogap regime have led to renewed debate as to the contribution of charge ordering to the formation of the pseudogap and its relevance to superconductivity [1–6, 11, 17, 18]. A notable experimental feature is the close correspondence between the measured ordering wave vectors and the momentum-space separation of the Fermi arcs seen by ARPES [7–9]. While arguments have been made for this correspondence signalling charge order being an instability of the Fermi arcs, our model shows that such a correspondence is in fact a natural consequence of a Fermi surface reconstructed by charge order, as seen in archetypal charge density-wave materials [19–22].
Were strong electronic correlations to be included, their effect might be to renormalize the effective hopping parameters so as to result in smaller values of the ratios and [10]. Even though the charge ordering wave vector no longer connects the antinodal regions of the Fermi surface in such a case, it still continues to connect the tips of the arcs in the calculated Fermi surface spectral weight (see
Acknowledgments
This work is supported by the US Department of Energy BES 'Science at 100 T' grant no. LANLF100, the National Science Foundation and the State of Florida. SES acknowledges support from the Royal Society and the European Research Council under the European Unionʼs Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement no. 337425-SUPERCONDUCTINGMOTT.
Appendix
In figure 5 we consider a scenario whereby reduced values of and cause the shape of the Fermi surface to be modified from that shown in figures 1 and 2. Consequently the values of and are not matched to the antinodal separation of the Fermi surface, in the manner proposed in [7]. In such a case, and continue to span the separation between Fermi arcs while leaving behind residual sections of Fermi surface at the antinodes in our non-interacting model (see figure 5). The backfolding features at the ends of the arcs are the result of the effects of a finite correlation length or a finite experimental resolution having not been included. In this case, remnant antinodal Fermi surface sections result, requiring an additional mechanism to reduce the antinodal spectral weight to levels corresponding with ARPES experiments.
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Standard image High-resolution imageFootnotes
- 3
After [16], where and , where is the vector by which is translated. The chosen forms of and have the useful property of being invariant under transformation by and .
- 4
For this reason, the charge ordering wave vectors and continue to span the tips of the Fermi arcs even when these vectors no longer connect the antinodal regions of the Fermi surface (see appendix).