Abstract 
This paper deals with the observation of quasi  moiré patterns generated when two equal 2D transparencies containing any type of structures, like geometrical figures or even photographic pictures, are coplanarly superimposed. Quasimoiré patterns have fractal behaviour and their generation can be related to percolation. 
Moiré fringes are visually observed when two periodic (like a comb) or nonperiodic (like a bar code) 2D grids or dots arrays are coplanarly superimposed and rotated as Figure 1a),1b) and 1c). Moiré fringes pattern obeys two main rules: 1º) Transverse Translation. It means that moiré fringes moved perpendicular to the bisector of the grids, preserving the sign of the displacement, at it is show in Figure 2a) and 2b), and 2º) Symmetry. It means that if one of the grids is turned face down and coplanarly superimposed and rotated again to the other grid, moiré pattern is still observed, as in case of evolutes at Figure 3a) and 3b). This paper deals with the observation of quasimoiré patterns generated when two equal 2D transparencies containing any type of structures, like geometrical figures or even photographic pictures, are coplanarly superimposed as in grids or dots arrays cases [1,2,3]. Visual observations using i) nonperpendicular biperiodic grids, ii) periodic (x)  random (y) grids, iii) completely random grids, iv) and fractal grids were analysed. Examples of these types of 2D transparencies are: i) an array of alphabetic ordered Greek letters in successive lines, but introducing some displacement between letters from one to the next line (see Figure 4a) and 4b)), ii) a CD magnified area, on which tracks are 1.6 mm periodically spaced, and recorded signals look as a random array (see Figure 5a) and 5b))[4], iii) a magnified metallographic picture showing the grain structure (see Figure 6a) and 6b)), and iv) any natural or prepared fractal [5] picture (see Figure 7a) and 7b)), respectively. When two identical transparencies T1 and T2 of the grain structure of a metal are coplanarly superimposed and the upper one is rotated an angle + a against the other, the quasimoiré pattern observed consists of circles centred at the centre of rotation as in Figure 6a). The wider the rotation angle is, the smaller the radius of the entire circular quasimoiré pattern results. This means that the observation of the circular quasimoiré pattern depends on the degree of resemblance between details in both transparencies. As it is obvious, its centre is located where the degree of resemblance is higher. Also, if the rotated transparencies are relatively displaced along the ± xaxis or the ± yaxis, the circular quasimoiré pattern moved along the ± yaxis or ± xaxis, respectively. Then, it means that the Transverse Translation rule is verified. But if one of the transparencies is turned face down and coplanarly superimposed again onto the other and rotated any angular value, the circular quasimoiré pattern is not observed at all. So, the Symmetry rule does not hold any more, because the degree of resemblance between transparencies is zero, as it is demonstrated in Figure 6b). For this reason this pattern was called quasimoiré pattern, because it obeys the first main rule on Transverse Translation, but not the second one related to the symmetry. As an example of the Transverse Translation rule, the animated Figure 8 shows a picture of the circular quasimoiré pattern obtained by superposition and rotation of transparencies T1 and T2. There are two more experimental observations using the same type of transparencies that can be explained in the insight of the degree of resemblance concept. Superimposing an original transparency on a scaled replica of itself can perform the first experiment. Both operations result in the observation of a radial quasimoiré pattern, whose centre of dispersion is placed in a point where the degree of resemblance between details in both transparencies is higher. The area covered by the radial quasimoiré pattern depends upon the scaling factor between transparency as it is demostrated by de animated Figure 9 . The higher the scale percentage is, the smaller the radius of the radial quasimoiré pattern results. Of course, in this case the Transverse Translation rule is reduced to a Longitudinal Translation rule (see the animated Figure 10 , as it occurs when a Ronchi linear grid is perpendicularly displaced to its traces onto a scaled replica of itself. Let be a scaled up, i.e. + 10 %, transparency onto the original one. A relative displacement between both transparencies along the ± xaxis or the ± yaxis will produce the longitudinal translation of the radial lines quasimoiré pattern along the m xaxis or the m yaxis. On the other side, let be a scaled down, i.e.  10 %, transparency onto the original one. Then, a relative displacement between both transparencies along the ± xaxis or the ± yaxis produces the longitudinal translation of the radial quasimoiré pattern along the ± xaxis or the ± yaxis. Summarising this observational facts, it results that allrelative transparency displacements will produce the higher degree of resemblance at the centre of the radial quasimoiré pattern. However, the Symmetry rule does not hold as in the case of the circular quasimoiré pattern. The second experiment can be performed after the observation of the radial quasimoiré pattern by rotating one of the transparencies against the other. In this case, the radial quasimoiré pattern turns to multiple logarithmic spirals quasimoiré pattern, whose centre is placed in the centre of the radial pattern, that is, where the degree of resemblance between details in both transparencies is higher. The arms of the spirals are developed according to the sign of the rotation angle and the sign of the scale factor between transparencies. For example, clockwise arms are developed when the upper transparency is rotated  a , and viceversa, counterclockwise arms are observed with + a rotation angle as it is shown in the animated Figure 11. In this case, the Translation rule results as a vector composition between the circular quasimoiré pattern rule and the radial lines quasimoiré pattern rule. So, it means, for example, that displacements of one transparency along the ± xaxis will produce translations of the spirals centre along lines that are inclined with respect to the xaxis according to the sign and value of the scale factor and the sign and value of the rotation angle a between transparencies, as it is demostrated in the animated Figure 12. Besides, the Symmetry rule does not hold in any case. a) Degree of resemblance and correlation The quantitative evaluation of the degree of resemblance between transparencies is presented. If the structure contained in the transparency could be expressed as a mathematical function f(x,y), the degree of resemblance can be defined as the correlation function f * f , according to the expression: [6] as in the case of moiré patterns generated by the superposition of periodic grids. b) Geometry and fractality he set of spirals that emerges when both operations are performed, that is, scaling and rotation, are of logarithmic type. In fact, any point in the original or master transparency T1 located at a distance r measured from an arbitrary point O, is displaced in its replicated transparency T2 a distance Dr along the straightline defined by the vector (O, r), and transversely displaced a distance r.Dj , where Dj is the rotation angle between transparencies around O. Then, the position of all those pairs of points are related by the differential equation: dr = m. r.dj . (2) It corresponds to the general formula: r = ri . exp[ m ( j +ji Dj )], (3) of a set of logarithmic spirals in the polar coordinates (r,j). Each set of logarithmic spirals is characterised by its origin O which is the centre of maximum correlation or high degree of resemblance between motifs and the scaling parameter m between both transparencies, as well as Dj, the rotation angle between transparencies. Inside this set of spirals, each logarithmic spiral is characterised by the pair (ri ,ji), where ri is the position of the nearest point to the origin O in the master transparency at the angular position ji. The geometrical and analytical representation at Figure 13 describes the spiral set that emerges according to formula (3). It is important to remark that this mathematical law is completely independent of the type, shape or size of motifs on the master transparency. In fact, the distribution of motifs in transparencies employed to observe emergent quasimoiré patterns, and the motifs themselves, are of different types, shapes and sizes. For instance, all Greek letters were printed in Figure 4a) and 4b) in a nonperpendicular biperiodic array, while in Figure 5a) and 5b) CD tracks are equally spaced while blanks, dots and bars look as a random distribution of motifs. Motifs at Figure 6a) and 6b) are differently sized and shaped and randomly distributed, while in Figure 7 the entire fractal motif is well mathematically defined. So, in spite of the fact of the tremendous differences between these examples, always a pair of correlated points exists that forms a cluster and allows us to observe quasimoiré patterns. An interesting remark is the fact that in making translation, rotation and scaling operations between the master transparency T1 and the translated, rotated and scaled transparency T2, always a logarithmic spiral will emerges inside the complete set of logarithmic spirals. Then, equation (3) shows that rotation operation and scaling operation are reciprocal among them. This curious property was analysed by Jacob Bernoulli, and it is intimately related to fractals: Logarithmic spirals are selfsimilar [7]. c) Quasimoiré patterns emergence and percolation Equation (3) has two different mathematical limits. One of the limits corresponds to the case on which the scaling factor is null, that is, m = 0. So, it means that the size of both transparencies, T1 and T2, is the same. Then, by rotating one transparency over the other the formation of clusters of correlated pairs of motifs allows the emergence of a set of circular quasimoiré patterns, as in the animated Figure 8 . The second limit is related with the rotation angle Dj. If Dj = 0 and m ¹ 0, by superimposing the scaledup or down T2 transparency over the T1 master one, radial quasimoiré patterns are observed, as in the animated Figure 9 . Besides, other kind of limitation affects the emergence of quasimoiré patterns if the sizes of transparencies are taking into consideration. For instance, if the scaling parameter is larger than 20 % and the rotation angle is larger than 20º, radial, circular, and spiral quasimoiré patterns are not clearly longer observed. It means that correlation between pairs of points at any place in transparencies falls down to zero. Only in the arbitrary point O the degree of resemblance between transparencies is high, but such a fact is not enough to decide which type of quasimoiré patterns should be observed if experimental conditions are fulfilled. Then, in principle, it could be possible to introduce a density function D of clusters of correlated points that represents this experimental fact. Such a D function has its maximum value at O; and there must be normalised adopting the unit value. In order to make a relation between the maximum and the minimum values of the D function, it is convenient to the extent of this discussion, to place the point O at the centre of transparencies. Then, at the border R of transparencies the D function must adopt the minimum value. As the function D will reflect a sort of geometrical phase transition as in percolation phenomenon from its maximum value at O, and its minimum at the border of transparencies, such a limit or interface could be conveniently adopted at rl. Then, the D density function can be defined as: .
Figure 14 gives a representation of D for two values of m. This paper deals with the observation of quasimoiré patterns of different types: circles, radial lines and logarithmic spirals. Quasimoiré patterns emerge when two transparencies representing any type of images one original and its copy are coplanarly superimposed and one of them rotated around an axis that is perpendicular to the plane of transparencies. Seeing through a transparency its coplanarly rotated copy the observer sees circular quasimoiré patterns. If the copy is scaledup or down, the observer sees radial quasimoiré patterns; and if this copy is coplanarly rotated against the original transparency, the observer sees logarithmic spirals. X or y displacements of one of the transparency produce transverse or longitudinal translation of the quasimoiré pattern or a vectorial sum of them, according with Translation rules for moiré patterns. But quasimoiré patterns do not obey the Symmetry rule, which is followed by regular moiré patterns. If two observers are seeing through coplanarly superimposed transparencies in opposite ways that is, perpendicularly to the transparency plane but from each plane sides they will see complementary quasimoiré patterns. The relevant case is that corresponding to logarithmic spiral quasimoiré patterns. In fact, one of the observers sees a logarithmic spiral quasimoiré pattern clockwise developed, while the other observer sees the counterclockwisedeveloped spirals. Besides, the complementarity implies that both observers will see complementary movements of the centre of circular, radial and logarithmic spiral quasimoiré patterns when one of the transparencies is displaced with respect to the other. The behaviour of quasimoiré patterns is engaged with fractal attributes of translation, rotation and scaling of transparencies. Finally, the observation of quasimoiré patterns is related with the percolation phenomenon through a density D function defined in equation (4). This work received financial support from Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CIC), and Universidad Nacional de La Plata (UNLP), Argentina. Authors are indebted to K. and G. Videla for helping them in processing quasimoiré pattern images. The Centro de Investigaciones Opticas depends from CONICET and CIC.
