addenda and errata
Periodic diffraction from an aperiodic monohedral tiling – the Spectre tiling. Addendum
aSchool of Computer Science, University of Waterloo, Waterloo, Ontario, Canada, bSchool of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, USA, and cDepartment of Physics, Arizona State University, Tempe, Arizona 85287, USA
*Correspondence e-mail: treacy@asu.edu
This article describes the diffraction pattern (2-periodic Fourier transform) from the vertices of a large patch of the recently discovered `Spectre' tiling – a strictly chiral aperiodic monotile. It was reported recently that the diffraction pattern of the related weakly chiral aperiodic `Hat' monotile was 2-periodic with chiral plane-group symmetry p6 [Kaplan et al. (2024). Acta Cryst. A80, 72–78]. The diffraction periodicity arises because the Hat tiling is a systematic aperiodic deletion of vertices from the 2-periodic hexagonal mta tiling. Despite the similarity of the Hat and Spectre tilings, the Spectre tiling is not aligned with a 2-periodic lattice, and its diffraction pattern is non-periodic with chiral 6 about the origin.
Keywords: aperiodic monotiling; Hat tiling; Spectre tiling.
1. Introduction
We reported recently (Kaplan et al., 2024) that the diffraction pattern from the aperiodic `Hat' monohedral tiling (Smith et al., 2024a) was periodic. Periodicity arises because the set of tile vertices is equivalent to a systematic aperiodic deletion of vertices from the 2-periodic hexagonal mta tiling (O'Keeffe et al., 2008). The underlying lattice imposes the diffraction periodicity when vertices are treated as point scatterers.
The subsequent discovery of a new aperiodic `Spectre' monotile (Smith et al., 2024b) invites a comparison between the diffraction patterns of its tilings and tilings by the Hat. The Hat monotile has a handedness, and every tiling by Hats is heterochiral: it must use both left- and right-handed tiles. In contrast, the superficially similar 14-sided polygon known as Tile(1,1) is equilateral with edge length v, allowing it to form additional tilings that are not equivalent to Hat tilings. In particular, Tile(1,1) also admits homochiral tilings like the one shown in Fig. 1, in which all tiles have the same handedness. Furthermore, Smith et al. (2024b) prove that all such tilings must be non-periodic, marking Tile(1,1) as a weakly chiral aperiodic monotile.
Smith et al. go on to show that by replacing the straight edges of the Tile(1,1) polygon with identical curves, they can produce a new family of shapes called Spectres, whose tilings are restricted precisely to be equivalent to homochiral tilings by Tile(1,1). Every Spectre is, therefore, a strictly chiral aperiodic monotile: a shape that admits only homochiral non-periodic tilings of the plane. Because curving the edges of Tile(1,1) does not affect the locations of its vertices, homochiral tilings by Tile(1,1) and all tilings by Spectres will have the same vertex-diffraction patterns. This invariance would not hold for diffraction studies of scattering from tile boundaries.
Importantly, unlike the Hat tiling, the Spectre tiling (Fig. 1) is a homochiral tiling by variants of Tile(1,1) that does not align with a 2-periodic lattice (Smith et al., 2024b). Thus, unlike the Hat tiling, we do not expect the Spectre diffraction pattern to be periodic.
In this addendum, we confirm that the Fourier transform of the Spectre tiling is indeed non-periodic with chiral sixfold
about the diffraction origin.2. Results and discussion
The computational methods used are the same as in our previous report (Kaplan et al., 2024). We compute the Fourier transforms of sets of point scatterers representing the tiling pattern, and the intensity is the square of the scattered wave amplitude. Fourier transform intensities are equivalent to diffraction patterns when the illumination is incident normal to the plane of the tiling, in the limit of illumination wavelength . In this limit, the 3D which conserves the energy (wavelength) of the scattered waves, is flat and lies in the 2D tiling plane.
We computed diffraction patterns from two different representations of the tiling: from the tile vertices (as for the Hat tiling) and from the areal centroids. The orange dots in Fig. 1 indicate the Spectre tile vertices and the blue dots are the tile centroids. In a large model, the ratio of centroids to vertices is 1/6, offering a significant speed-up in the computations, although the diffraction details differ. In the previous report on the Hat tiling (Kaplan et al., 2024), we used a scale u that equals the hexagonal edge length of the underlying hexagonal tiling, so the two different Hat-tile, Tile(), edge lengths were u/2 and . We have adopted a different scale for the Spectre tiles, assigning v as the straight-edge length between connected vertices. In our calculations, the scales relate with .
Fig. 2 compares the diffraction patterns for the two Spectre tile-vertex representations with the reciprocal-space origin at the centres. Superficially, the pattern from the tile vertices [Fig. 2(a)] resembles a periodic array of diffused concentric rings, each with an intense sharp spot in the middle. About the origin, the pattern superficially appears to have a of 12m, inconsistent with 2-periodicity. Closer inspection reveals that the repeating features are not identical, and the symmetry reduces to 6 about the origin, with no periodicity or mirror lines.
The pattern for the tile centroids [Fig. 2(b)] shows a different intensity distribution. Again, upon closer examination, the full pattern reduces to 6 about the origin with no mirror lines. Unusually for diffraction patterns, this pattern appears as a near-periodic array of dark dots within a grey background of diffused intensity. Importantly, the spacings between the near-periodic features of the two patterns are different. This is consistent with the absence of an underlying 2-periodic lattice associated with the Spectre tiling.
The diffracted wavefunction, , from large areas of the Spectre tiling, has threefold rotational symmetry (allowing for a linear phase gradient arising from the placement of the model origin). This reflects the presence of many local threefold structural centres in the tiling (see Fig. 1 for examples). The threefold-symmetric Fourier-transform wavefunction naturally has a centre of symmetry, with = , where φ is a phase related to the model's origin of coordinates. Accordingly, the diffracted intensity inherits an additional twofold symmetry axis, = , and exhibits an overall sixfold symmetry per Friedel's law (Friedel, 1913).
Fig. 3 compares pairs of superficially repeating features of the patterns from the two structures. The logarithm of intensity is displayed using the ICA colour-lookup table in the program ImageJ (Schneider et al., 2012). Fig. 3(a) shows the details about the origin of the tile-vertex pattern from a circular region of the Spectre tiling of radius 6000v containing 20 698 280 tile vertices. The of 6 about the origin is evident, as is the absence of mirror lines. Fig. 3(b) shows a similar diffraction feature centred at reciprocal-lattice location . The two patterns are almost identical: the differences appear in the fine-scale details.
Similarly, the pair of patterns for the areal centroids from a region of radius 6000v, containing 3 449 715 centroids [Figs. 3(c) and 3(d)], reveal similar subtle differences. The motif in Fig. 3(d) is centred at , a different location from the `repeated' feature in the diffraction pattern from the tile vertices [Fig. 3(b)]. This is consistent with no 2-periodic lattice being associated with the Spectre tiling.
The log(intensity) histogram profile of the diffraction patterns from large numbers of vertices is approximately Gaussian for the vertices and centroids of the Spectre tiling (Fig. 4), as well as for the Hat tiling. The outlier intensities, far from the mean, do not fade away as quickly as a Gaussian. The ICA colour-lookup table used in Fig. 3 is also indicated. The log10 intensity scales given are calibrated such that the central peak at the origin in each set of patterns has unit intensity. This origin peak scales as N2, where N is the number of scatterers in the model.
As for the previously reported Hat tiling (Kaplan et al., 2024), there is high-frequency detail, `diffused scattering', in the diffraction patterns, which accounts for much of the histogram intensity spread, which is not visible at the printed resolution of Fig. 3. This detail sharpens up as the number of vertices in the model increases. We differentiate this from the term `diffuse scattering', which is generally associated with defects in periodic systems or amorphous structures and does not sharpen as the model size increases. These aperiodic tilings, generated by simple rules, are perfectly ordered. Sharp diffraction speckles are expected at Fourier-space length scales proportional to the reciprocal of the model size.
Fig. 5 shows a zoomed-in region of the tile-vertices' diffraction pattern centred at , close to the origin, spanning a reciprocal width of . 57 495 023 tile vertices in a disc of radius 10 000v were used in the computation with a sampling of per pixel. Self-similar renderings of the hexagonal-ring motif appear at decreasing length scales, a characteristic feature of diffraction from aperiodic tilings (Senechal, 1995; Solomyak, 1997; Baake & Moody, 2000; O'Keeffe & Treacy, 2010; Baake & Grimm, 2013; Kellendonk et al., 2015).
3. Conclusions
As reported earlier (Kaplan et al., 2024), the Hat tiling aligns with a hexagonal lattice, so its diffraction pattern is periodic. Although closely related to the Hat tiling, the Spectre tiling does not align with any 2-periodic lattice, and we confirm that its diffraction pattern is strictly non-periodic despite a superficial appearance of periodicity. Like the Hat tiling, the Spectre tiling's diffraction pattern contains self-similar features at smaller length scales, which sharpen as the number of point scatterers increases.
Although the Hat and Spectre tilings are related, they are not combinatorially equivalent: there is no continuous bijection of the plane that transforms a tiling by Hats into a tiling by Spectres. A third 14-sided monotile shape, the `Turtle', has been identified, which can also align aperiodically with the hexagonal 2-periodic mta tiling (Smith et al., 2024b). Every tiling by Spectres can be continuously deformed into one by Hats distributed sparsely within Turtles or one by Turtles distributed sparsely within Hats.
Our computational methods use a `brute force' summation of waves from large numbers of point scatterers into large reciprocal-space pixel arrays. Although effective and accurate, such methods are computationally laborious and inefficient for exploring large numbers of tile configurations. Diffraction from deformable, combinatorially equivalent families of monotiles could be explored more efficiently using recurrence relations for the diffraction amplitudes and phases, such as those developed by Socolar (2023). Parameterizing tile shapes should allow the evolution of the diffraction pattern in a region of to be followed efficiently as tiles are continuously deformed, possibly passing through 2-periodic resonances.
References
Baake, M. & Grimm, U. (2013). Aperiodic Order, Vol. 1, A Mathematical Invitation. Cambridge University Press. Google Scholar
Baake, M. & Moody, R. V. (2000). Directions in Mathematical Quasicrystals. Providence, RI: American Mathematical Society. Google Scholar
Friedel, G. (1913). CR Acad. Sci. Paris, 157, 1533–1536. Google Scholar
Kaplan, C. S., O'Keeffe, M. & Treacy, M. M. J. (2024). Acta Cryst. A80, 72–78. CrossRef IUCr Journals Google Scholar
Kellendonk, J., Lenz, D. & Savinien, J. (2015). Mathematics of Aperiodic Order. Basel: Birkhäuser. Google Scholar
O'Keeffe, M., Peskov, M. A., Ramsden, S. J. & Yaghi, O. M. (2008). Acc. Chem. Res. 41, 1782–1789. Web of Science CrossRef PubMed CAS Google Scholar
O'Keeffe, M. & Treacy, M. M. J. (2010). Acta Cryst. A66, 5–9. Web of Science CrossRef IUCr Journals Google Scholar
Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. (2012). Nat. Methods, 9, 671–675. Web of Science CrossRef CAS PubMed Google Scholar
Senechal, M. (1995). Quasicrystals and Geometry. Cambridge University Press. Google Scholar
Smith, D., Myers, J. S., Kaplan, C. S. & Goodman-Strauss, C. (2024a). Combin. Theory, 4(1), 6. Google Scholar
Smith, D., Myers, J. S., Kaplan, C. S. & Goodman-Strauss, C. (2024b). Combin. Theory, 4(2), 13. Google Scholar
Socolar, J. E. (2023). Phys. Rev. B, 108, 224109. CrossRef Google Scholar
Solomyak, B. (1997). Ergod. Th. Dyn. Sys. 17, 695–738. CrossRef Web of Science Google Scholar
This article is published by the 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.