# Color Dependence on Thickness in Topaz Crystal from Brazil

Authors: Waldemar Bonventi Jr; Sadao Isotani; Antonio Roberto Pereira Albuquerque
Journal: Advances in Condensed Matter Physics
 (2012)

---

## Abstract

It is well known that crystals of topaz from the Eastern Brazilian Pegmatite Province may turn blue by the irradiation with60Co gamma rays followed by heat treatment. Also, it is known that the sensation of color changes with the thickness of these crystals. The dependence of the color, given by 1931 CIE chromaticity coordinates, with the thickness of the crystal was analyzed. The absorbance used in the calculation of these coordinates was given by the sum of Gaussian lines. The parameters of these lines were determined through the decomposition of the optical absorption spectra in the ultraviolet and visible regions. The decomposition revealed several lines, whose assignment was made considering studies in spodumene and beryl crystals and highly accurate quantum mechanical calculations. The transmittance becomes very narrow with increasing thickness, and the CIE chromaticity coordinates converge to the borderline of the CIE Chromaticity Diagram at the wavelength of maximum transmittance. Furthermore, the purity of color increases with increasing thickness, and the dominant wavelength reaches the wavelength of maximum transmittance.


---

## Body

## 1. Introduction

Most gemstone crystals have an intrinsic color due to the optical absorption and presence of color centers that are produced by impurities like transition metals and elements of Earth-rare, or defects in, the crystalline lattice [1]. However, variations in crystal color are produced by a combination of other factors, such as the form of the crystal and the light source [2]. The color shown by a gemstone reflects intrinsic factors like the actual form and presence of color centers as well as external factors like the light produced by different light sources.The gemstone crystals used as jewelry, often undergo a process of cutting and polishing. The cutting and polishing of a crystal is a complex process. For this purpose, a crystal can be divided into several parts and with different shapes. In this process, it is emphasized the importance of getting these parts with color purity better defined. In this sense, the knowledge of the relation of color with the geometry may give subsidies for this purpose. Therefore, since the value of the gemstone is evaluated as a function of the exhibited color, a light effect prediction can be useful in the analysis of gemstones. The contribution of color centers, light source, and thickness can be evaluated using thexy chromatic coordinates of the 1931 CIE (Comission Internationale d’Éclairage) system [3].Gemological quality crystals of beryl, quartz, spodumene, topaz, and tourmaline among many others, constitute an important economic resource for the Eastern Brazilian Pegmatite Province [4]. The optical absorption spectra of crystals of the Province of Oriental Brazilian Pegmatite were reported by several authors for beryl [5–10], amethyst [11], spodumene [12–15], topaz [16–24], and tourmaline [25].The topaz is one of the most mined gemstones in this region. The color of the topaz is caused by the presence of point defects induced by ionizing irradiation, which has been the subject of extensive study. The first study in early 1923 [16] described coloration from brown smoke to orange shades in topaz. In 1975, Nassau and Prescott reported a remarkable feature obtained from 86 colorless topaz samples with probable Brazilian origin; 21 samples exhibited a blue color after gamma irradiation followed by moderate heating [17]. This blue color in transmitted light is attributable to an optical absorption band near 620 nm.The investigation of atomic models for point defects in topaz began to start only in 1990 when the 620 nm absorption band was attributed to an oxygen vacancy in an isolated SiO4 tetrahedron [19]. Later, a systematic study was reported on the effects of irradiation in topaz mined in different localities of Brazil, using electron paramagnetic resonance (EPR) and optical absorption [20–22]. It was shown that the absorption band at 620 nm induced by neutron or gamma radiation is responsible for blue color in topaz. Also, it was shown that a paramagnetic O− hole center is formed at a hydroxyl OH−. The O− hole center has the same thermal stability as the 620 nm absorption band. Further, Schirmer developed a model of O− hole centers in oxide materials, that is, a hole is trapped in a cluster of a few several equivalent oxygen ions next to an acceptor defect and is stabilized by lattice distortion as an O− bound small polaron [23]. Accordingly, Krambrock et al. discussed the 620 nm absorption band and O− hole centers in the context of O− bound small polarons [24].Crystals of topaz mined in the Eastern Brazilian Pegmatite Province may turn blue by irradiation with60Co gamma rays followed by heat treatment [18]. The blue colour is the result of the overlap of the absorption band at 620 nm and a tail of an absorption in the ultraviolet region. Also, it is known that the sensation of color changes with the thickness of these crystals.We report in the present work the effect of thickness of topaz samples on the 1931 CIExy chromatic coordinates calculated using the absorbance described as the sum of Gaussian lines. The parameters of these lines were determined through a spectral decomposition analysis of the optical absorption in the visible and ultraviolet regions. The topaz samples were submitted to irradiation and heat treatment at 200°C and 600°C. The parameters of these decompositions were refined using the optimization method reported by Isotani and Fujii [26]. Also, in this paper we report an analysis of the dependence of transmittance, color purity and dominant wavelength with thickness.


## 2. Experimental

The topaz samples used in the present work were obtained from the region around Governador Valadares, at the Eastern Brazilian Pegmatite Province, MG, Brazil and were classified as colorless topaz. Very small inclusions were distributed in the sample but did not change its transparency. The samples used in our study were oriented using the external morphology. The results of impurity analysis were reported in previous works [18, 27]. The main impurity was of Fe (200–380 ppm), Cr (100 ppm), and Mn (60 ppm). Wafers of 10 to 50 mm thickness were cut from the samples using a diamond saw and polished using chromium oxide, alumina and diamond paste. The waffers were γ-irradiated using a 60Co (~400000 Ci) source from EMBRARAD SA at a rate of 80000 Gy/h. The dose was controlled by means of three processes: ceric-cerous dosimetric system, AECL red acrylic dosimetric system, and UKAEA red perspex dosimeter. Thermal treatments were made in air using a furnace, and the temperature was measured using a chromel-alumel thermocouple.The optical absorption spectra used in the present work were recorded using a Carl-Zeiss DMR21 spectrometer.


## 3. The 1931 CIE Chromaticity Diagram Calculations

The human eye has receptors for three different wavelengths, that is, short (blue), middle (green), and long (red) wavelengths. Therefore, in principle, three coordinates describes the color sensation. The CIEXYZ is one of such spaces, based on measurements of human eye. Since the human fovea has an angular aperture θ, the values of these coordinates are θ-dependent. The XYZ coordinates of a light [1, 2], coming from a light source denominated illuminant, that passes through a colored sample are given by
(1)Xθ=∑380770P(λ)⋅T(λ)⋅x-θ,λ⋅Δλ,Yθ=∑380770P(λ)⋅T(λ)⋅y-θ,λ⋅Δλ,Zθ=∑380770P(λ)⋅T(λ)⋅z-θ,λ⋅Δλ,
where P(λ) is the spectral distribution of the illuminant, T(λ) is the spectral transmittance of the sample, and x-θ,λ;y-θ,λ;z-θ,λ are the color matching functions. In the present work, we use the illuminant A, a light source that represent a typical, domestic, tungsten-filament lighting and illuminant D65, a light source that represent the average daylight. The values of x-θ,λ;y-θ,λ;z-θ,λ  and P(λ) can be obtained at CIE website [http://www.cie.co.at/index.php/Publications/Standards]. They were originally calculated through a complex algorithm using data obtained from experiments which correlate with the primary colors: red, green, and blue with the observed colors [3]. The angle θ  in the present work was assumed to be the angle of maximum sensitivity θ=2°. Then, θ  will be no more used in the following equations.The 1931 Chromaticity Diagram is a projection of the CIE (Comission Internationale d’Éclairage)XYZ coordinate system in a two-dimensional plane xy given by [3]:
(2)x=XX+Y+Z,y=YX+Y+Z.The borderline of the 1931 Chromaticity Diagram is given by(3)xborder=x-λx-λ+y-λ+z-λ,yborder=y-λx-λ+y-λ+z-λ.The open part of this diagram not covered by this transformation is closed by a straight line, called the purple line.The calculation of color includes the effect of light absorption and illuminant. Therefore, a useful complement to the analysis of color is the analysis of color purity. The puritypL of a color is defined as the ratio of distances from the color and the dominant wavelength from a given illuminant and is given by
(4)pL=x-xLxλ-xL≡y-yLyλ-yL,
where (xL,yL) are the coordinates of the illuminant and (xλ,yλ) are the coordinates of the dominant wavelength. The dominant wavelength of a color stimulus is the wavelength λ that matches the given stimulus in color. It is evaluated as the cross-point of the diagram borderline and the line passing through the illuminant and the color coordinates.When the line between color and light source coordinates reaches the purple line, the color does not possess a dominant wavelength. In this case, it is possible to match the specified achromatic stimulus with a mixture of the color and a monochromatic stimulus known as complementary wavelengthλc. The complementary λc is the point of the diagram borderline crossed by the straight line in the opposite direction from the light source to the color coordinates. The purity calculation will be similar to the dominant case, making use of (5). Since purity is a nondimensional number with a value between 0 and 1, it is common to represent these values in percentages.The crystal transmittance is given by(5)T(λ)=T0exp⁡⁡(-α(λ)l),
where α(λ) is the absorbance and ℓ is the sample thickness. In the present case, the absorbance α(λ) can be expressed as the sum of absorption lines. Each line is expressed as a function of λ, and its form function is given by Gaussians, Lorentzians, pekarians, and so forth.Each absorption line in the spectrum (as a function of the wave numberν=1/λ) has a Lorentzian shape in the absence of interaction between a defect and the crystal lattice. However, a crystal in nature is not perfect and has internal random stress. The absorption peak of individual atoms has a lorentzian shape, but a typical peak of some atoms absorbing nearly the same energy has a superposition of lorentzians. This “wrapper curve” can be approximated by several kinds of mathematical line shapes, like Gaussian, Lorentzian,Pekarian, or combinations of these. The interaction of phonons and defects may cause dependence between line shape and temperature. For ground and excited states potential energies with different minima, the shape results in a symmetrical curve at high temperature, which is usually satisfied at room temperature [28]. In addition, from approximate evaluation, the high temperature absorption should be Gaussian. Therefore, a Gaussian line shape was assumed for modeling the room temperature peak, and all spectra can be presented as a sum of these Gaussians:
(6)α(ν)=∑i=1naiexp⁡[-(ν-ν0iΔνi)2ln⁡2],
where ν is wave number, ν0i is the wave number of the ith peak at its maximum, Δνi, is the line width of the ith peak, and ai is the amplitude of ith component of the spectral line.The method for determining the parameters of (6) by decomposition of the spectra of the topaz is a complex process because there are multiple overlapping peaks as well as peaks located outside the range of experimental measurement in the ultraviolet region. Moreover, weak ghost lines may arise due to poor propagation of errors in the fitting parameters. Finally, ghost lines can arise from weak non-Gaussian components introduced by any problem with the polarization detector nonlinearity and saturation, dispersing the sample surface defects due to polishing among other factors. So, we made spectral decomposition using as reference for the decomposition process applied prior to the absorption spectra of spodumene [15] and beryl [10].The parameters of (6), ν0i, Δνi, and ai, were determined using a grid optimization method [26]. This method was applied to optimize the decomposition of the spectra of spodumene [15] and beryl [10]. The procedure makes use of a grid in the parameter space obtained by changing each parameter back and forth and calculating robust cost functions on the surfaces of this grid. The lengths of the changes were determined empirically. The best set of parameters was calculated by the projection on the grid surface with the smallest cost function. This process was repeated until the cost function became smaller than a given value or after a previously chosen number of iterations. In the present study, we found that the decomposition is more efficient when the parameters of the Gaussians are determined using the grid method, and the amplitudes are calculated using the method of least squares.In order to make the comparison between the results of decomposition of the different spectra, it is of fundamental importance to determine the deviations of the parameters. We have used the procedure developed for the determination of the deviations described by Isotani et al. [10]. Based on the error obtained in the best fit, we determined the deviation for an increase of the cost function from about 20%. The highest and lowest values for each parameter were determined to correspond to 20% of the best fit of the cost function: the error in this parameter was assumed to be the biggest difference compared to that obtained in the best fit.


## 4. Spectral Decomposition Analysis

The chromatic coordinates described in (1) are dependent on the transmittance, which in turn depend on the absorbance. In the present study, we did the calculation of the chromatic coordinates, using the absorbance described as the sum of absorption lines. We applied the decomposition process described in previous reports [10, 15] to determine the parameters of these lines from the spectrum of absorbance shown in Figure 1.Figure 1
Optical absorption spectrum of blue topaz.Figure1 shows the optical absorption spectrum of a Brazilian blue topaz of an irradiated sample submitted to heat treatment at 200°C for 24 hours. This spectrum shows a single maximum of transmittance at around 470 nm.The maximum transmittance occurs at the intersection of the absorption band at 620 nm and the tail of an absorption in the ultraviolet region. Thus, for a good representation of the absorbance in the ultraviolet region, we analyzed the absorption spectra of thin sample of topaz. Figure2 depicts the absorption spectra of a thin sample of irradiated topaz submitted to heat treatment at 200°C and 600°C and the results of the decomposition of these spectra as sum of Gaussian functions.Optical absorption of irradiated thin sample of topaz heated at 200°C and 600°C.
(a)
(b)Figure2(a) depicts as dots, the three lines obtained from the decomposition of the spectrum of irradiated topaz heated to 600°C. The parameters of this spectrum decomposition are shown in Table 1. Although the line 60900 cm−1 is outside the observation range of our spectrometer and its location can not be determined with great accuracy, it indicates the presence of a strong absorption in the ultraviolet region.Table 1
Best-fitted parameters of the optical absorption spectra of thin sample of topaz heated at 600°C for Gaussian line shapes. The Gaussian amplitudes are given in absorbance units.
Peak
ν
0
i (103 cm−1)
Δ
ν
i (103 cm−1)
Amplitude
1
60.9
±
2.0
8.67
±
0.59
5.46
±
0.89
2
41.63
±
0.40
3.01
±
0.18
0.648
±
0.025
3
38.51
±
0.12
1.96
±
0.17
0.297
±
0.034The decomposition of the spectrum of topaz shows three lines at 60900, 41630, and 38510 cm−1. These lines are resistant to temperatures of 600°C and are similar to those three lines observed in spodumene heated to 400°C [15]. Similar lines were also observed in beryl [10]. In the absence of more experimental evidence to support a more consistent assignment, we will consider the assignments suggested in these works. Lines at around 61000 cm−1 were observed in oxygen-deficient silicon [29, 30], spodumene [15], and beryl. They were assigned using a first principle quantum-chemical study to a single diamagnetic oxygen vacancy (≡Si–Si≡). Therefore, we attribute the line at 60900 cm−1 determined in this work to a single diamagnetic oxygen vacancy (≡Si–Si≡) [31, 32].It was shown that in spodumene the lines at 40900 and 37400 cm−1 and in beryl the lines at 41400 and 36400 cm belong to a single defect. Two possible options were considered for assignments from quantum mechanical calculations TD-DFT for exchange correlation functional (LDA/6-31+G*), (BLYP/6-31+G*), and (PW91/6+G*): a peroxy bridge (≡Si–O–O–Si≡) with transitions S0→S2 37600–37840 cm−1 and 38900–41390 cm−1 and a silicon dangling bond defect (=Si:) with transitions S0→S2 at 38300–38490 cm−1 and 41640–41960 cm−1 [32]. On the other hand, (B3LYP/6-31+G*) has higher energy transition at 41070 and 48980 cm−1 for the peroxy bridge defect and 42260 and 47120 cm−1 for the silicon dangling bond defect, showing that the transition energies depend strongly on the exchange. To reduce the strong dependence of the exchange in the comparisons, we analyzed the differences in transition energies between the two lines S0→S2. In this case, the differences for (LDA/6-31+G*), (BLYP/6-31+G*), (PW91/6-31+G*), and (B3LYP/6-31+G*) are 3790, 1450, 1210, and 6460 cm−1 for the peroxy bridge defect and 3310, 3470, 3390, and 6860 cm−1 for the silicon dangling bond defect, respectively. Since the difference between lines 2 and 3 from Table 1 is 3210 cm−1, we assign these lines to the silicon dangling bond defect (=Si:).We note that in our samples the irradiation produces an intense brown color. Heating at 200°C eliminates this brown color. In some samples, a blue color remains and the absorption spectrum corresponds to that of Figure1. In other samples the resulting color is slightly grayish or weakly bluish and corresponds to the absorption spectra of irradiated thin topaz heated at 200°C. The thin sample after heat treatment at 600°C becomes transparent.In spodumene, the spectrum of the sample heated at 400°C was not produced by irradiation. The spectrum of topaz heated at 600°C is similar to the spectrum of spodumene heated at 400°C. Then, we assume that in topaz this spectrum is due to intrinsic defects not produced by irradiation. The irradiation causes the appearance of new defects that cause the appearance of new absorption lines. That is, the lines originating from the irradiation overlap the lines originating from intrinsic defects. For this reason, in the decomposition process of Figure2(b) we subtract the spectrum band of topaz heated at 600°C.We began the process of decomposition of the spectra of topaz submitted to heat treatment at 200°C using as reference for the far ultraviolet region the lines observed in spodumene. The lines in irradiated spodumene at 33770 and 43160 cm−1 follow the same growth kinetics and were assigned to a single defect such as silanone (=Si=O). Calculations for silanone by TD-DFT with exchange correlation functional (B3LYP/6-31+G*) give transitions comparable with these lines [32]. A line at 16000 cm−1 in blue topaz was attributed by Krambrock et al. [24], considering the phenomenological theory of small bound polarons, to the fact that an O− hole center nearest to an acceptor defect is stabilized by lattice distortions.We started the process of decomposition from the above-mentioned three lines at 16000, 33770, and 43160 cm−1, using as the baseline the spectrum of topaz heated at 600°C. Although the fit was satisfactory for the spectrum of Figure 2(b), we introduce two more lines to fit two small bumps on the main spectrum. These bumps at 8990 and 31470 cm−1 are sharp lines and are around the characteristic lines of Fe2+ in some distorted sites, as in beryl [5]. So, we could not determine the errors of these lines.Table2 presents the values of the fitting parameters for the spectrum of irradiated thin topaz heated at 200°C. The fitting process led to values of main lines at 32960 and 41770 cm−1, depicted as dots in Figure 2(b). The other three lines at 8990, 16300, and 31470 cm−1 are too small to be shown in Figure 2(b) and are indicated by arrows. The amplitude of the baseline was found to be 0.577±0.054.Table 2
Best-fitted parameters of the optical absorption spectra of thin sample of topaz heated at 200°C for Gaussian line shapes. The Gaussian amplitudes are given in absorbance units.
Peak
ν
0
i (103 cm−1)
Δ
ν
i (103 cm−1)
Amplitude
4
41.77
±
0.27
6.04
±
0.21
0.426
±
0.030
5
32.0
±
1.3
9.1
±
1.2
0.103
±
0.014
6
3
1.47
±
?
1.73
±
?
0.026
±
?
7
16.3
±
2.0
9.1
±
1.2
0.029
±
0.006
8
8.99
±
?
1.01
±
?
0.004
±
?
The amplitude values for which the errors are indicated by “?” are very small and therefore they could not be evaluated. These lines were maintained to give stability to the optimization algorithm used in the determination of the parameters of the lines.Table3 presents the values of the fitting parameters for the thick sample of topaz. The decomposition with the baseline and two lines at about 16,000 and 33,000 cm−1 was obtained with acceptable accuracy. However, the long decay to lower energies suggests the presence of more lines in the infrared region. We introduced a line to simulate mathematically these unknown lines and provide stability to the process of decomposition. More rigorous experimental measurements need to be made so that such lines are properly identified. The amplitude of the baseline was found to be 0.746±0.016.Table 3
Best-fitted parameters of the optical absorption spectra of thick sample (shown in Figure1) of topaz heated at 200°C for Gaussian line shapes. The Gaussian amplitudes are given in absorbance units.
Peak
ν
0
i (103 cm−1)
Δ
ν
i (103 cm−1)
Amplitude
5
33.04
±
0.19
7.150
±
0.077
2.760
±
0.047
7
15.986
±
0.064
3.253
±
0.073
1.204
±
0.031
9
10.92
±
0.20
2.00
±
0.35
0.297
±
0.019


## 5. The Effect of Thickness on the Color

Figure1 shows that in the visible region there is a single minimum in the absorbance. It results from the combination of an absorption band in the region of 600 nm and an absorption tail from the ultraviolet region. This minimum happens when the derivative of the absorbance in relation to the wavelength is zero, that is, for λ=λm we have α(λm)=min.Here,[P(λ)x-λ·Δλ], [P(λ)y-λ·Δλ], and [P(λ)z-λ·Δλ] are scheduled for visual angle 2°, and the CIE illuminants are A and D65. The A illuminant represent a light source of a tungsten lamp light at 2857 K color temperature. The D65 illuminant represents a light source of average daylight and has a correlated color temperature of approximately 6500 K. The CIE source coordinates are A ≡ (0.4476, 0.4075) and D65≡ (0.31271, 0.32902).The colors calculated for blue topaz, with illuminants A and D65, and parameters of absorbance of Table3, are shown in Figure 3. The thickness of the sample color changes along a color path. We see that the color path moves through the 1931 Chromaticity Diagram reaching its border in the limit of the maximum transmittance around λ0=470 nm.Figure 3
1931 2° CIE Chromaticity Diagram containing the A and D65 sources and topaz color line path depending on thickness. The regions represent the following colors: (1) purplish blue, (2) blue, (3) greenish blue, (4) blue-green, (5) bluish-green, (6) green, (7) yellowish-green, (8) yellow-green, (9) greenish-yellow, (10) yellow, (11) orange-yellow, (12) orange, (13) reddish-orange, (14) yellowish-pink, (15) red, (16) purplish-red, (17) pink, (18) reddish-purple, (19) purplish-pink, (20) reddish-purple, (21) purple, and (22) violet.Purity and dominant wavelength for topaz, depending on sample thicknessℓ, are shown in Figure 4. This shows that the purity and dominant wavelength change continuously as functions of thickness through a pathway, from illuminant (ℓ=0) to borderline values (ℓ→∞). A thick sample shows a very low purity but a rapid increase in purity, reaching saturation at thicknesses greater than 5 mm. On the other hand, the dominant wavelength of a thick sample decreases continuously from 493 nm to 470 nm for illuminant A and from 483 nm to 470 nm for illuminant D65.Figure 4
Dominant wavelength (in nm) and spectral purity (in %) as function of sample thickness (in mm) for blue topaz.As seen in Figure4, under a certain illuminant, the “chromatic path” starts at the illuminant point (very thin) and finishes at the borderline (very thick). This observation can be demonstrated by theoretically analyzing the path in the Chromaticity Diagram written in continuous forms as follows:
(7)x=∫λ=380770PL(λ)T(λ)x-λdλ∫λ=380770PL(λ)T(λ)(x-λ+y-λ+z-λ)dλ,y=∫λ=380770PL(λ)⋅T(λ)y-λdλ∫λ=380770PL(λ)T(λ)(x-λ+y-λ+z-λ)dλ.Equation (4) shows that the maximum of the transmittance corresponds to the minimum of the absorbance. Using the definition for the line width T(λ1/2)=T(λm)/2, we obtain the relationship:
(8)ln⁡2=[α(λ1/2)-α(λm)]l.
Therefore, for very large values of ℓ the value of the line width tends to be very small.In Figure5, we show this property by overlapping the normalized transmittances for several thicknesses. The normalization is required since its absolute value decrease to zero when thickness becomes infinite [33–35]. The dots are the experimentally observed absorbances. The solid lines show the normalized transmittance dependence on λ. We see that transmittance becomes sharper as thickness increases.Figure 5
Dependence on thickness of normalized absorbance and transmittance of blue topaz.In the limit of large thickness, the transmittance becomes very small and so both terms, numerator and denominator of (7) tend to zero. However, considering that in the limit of large values of thickness the line width of the transmittance becomes very sharp, we can approximate the integral to that value calculated at λ=λm. Then, using this property we rewrite (7) as
(9)x⟶PL(λm)T(λm)x-λmΔλPL(λm)T(λm)(x-λm+y-λm+z-λm)Δλ=x-λm(x-λm+y-λm+z-λm),y⟶PL(λm)T(λm)y-λmΔλPL(λm)T(λm)(x-λm+y-λm+z-λm)Δλ=x-θ,λm(x-λm+y-λm+z-λm).
These coordinates are the coordinates of the borderline of the 1931 Chromaticity Diagram at the wavelength λ=λm.As we mentioned above, the dominant wavelength (xλ, yλ) is the point in the diagram borderline crossed by the straight line in the direction of the light source to the color coordinates. The dominant wavelength λd, corresponding to the (xλ, yλ) coordinates in the limit of large thickness, coincides with the color coordinate at the wavelength λ=λm. Then, according to (5), the purity becomes PL=1.


## 6. Conclusion

In the present work, we applied the analysis of the optical absorption spectral decomposition of irradiated topaz submitted to heat treatment at 200°C and 600°C. The optical absorption spectrum of blue topaz was analyzed using several Gaussians. The decomposition of the topaz spectra submitted to heat treatment at 600°C revealed three lines. The parameters were obtained using a grid optimization method. Discussions, taking into account highly accurate quantum mechanical calculations [31, 32] and results in spodumene [15] and beryl [10], led to assigning the lines at 41630 and 38510 cm−1 to a silicon dangling bond defect (=Si:) and the line at 60900 cm−1 to an oxygen vacancy defect (≡Si–Si≡). The decomposition of the spectra of thin and thick samples submitted to heat treatment at 200°C shows a line at around 16000 cm−1 due to an O- hole center nearest to an acceptor defect being stabilized by lattice distortions [24]. Furthermore, two lines around 32000 and 42000 cm−1, based on similar lines observed in spodumene, suggested for assignment a single defect such as silanone (=Si=O).The calculated transmittance showed a remarkable sharpening with increasing thickness. The CIE coordinates of color go through the pathway from the illuminant coordinates to the borderline of the Chromaticity Diagram, reaching them at coordinates corresponding to the maximum transmittance as the thickness increases. The color purity increases with increasing thickness, and the dominant wavelength reaches the wavelength of maximum transmittance.



---

*Source: 873804-2012-08-22.xml*