research papers
Defocused travelling fringes in a scanning triple-Laue X-ray interferometry setup
aINRIM – Istituto Nazionale di Ricerca Metrologica, strada delle cacce 91, 10135 Torino, Italy, and bUNITO – Università di Torino, Dipartimento di Fisica, via Pietro Giuria 1, 10125 Torino, Italy
*Correspondence e-mail: c.sasso@inrim.it
The measurement of the silicon lattice parameter by a separate-crystal triple-Laue X-ray interferometer is a key step for the realization of the kilogram by counting atoms. Since the measurement accuracy is approaching nine significant digits, a reliable model of the interferometer operation is required to quantify or exclude systematic errors. This paper investigates both analytically and experimentally the effect of the defocus (the difference between the splitter-to-mirror and analyser-to-mirror distances) on the phase of the interference fringes and the measurement of the lattice parameter.
Keywords: X-ray interferometry; dynamical theory of X-ray diffraction; X-ray crystal density; Si lattice parameter.
1. Introduction
The measurement of the silicon lattice parameter at optical wavelengths by scanning X-ray interferometry opened a broad field of metrological and science applications. In addition to realizing the metre at atomic length scales (Basile et al., 2000), to determining the (Fujii et al., 2018), and, nowadays, to realizing the kilogram from the Planck constant h, it was instrumental in the determination of the h/mn ratio (Krueger et al., 1998, 1999) and allowed the wavelength of X- and γ-rays to be referred to the metre. These links resulted in improved measurements of the deuteron binding energy and neutron mass mn (Greene et al., 1986; Kessler et al., 1999) and the most accurate test of the Planck–Einstein identity hν = mc2 (Rainville et al., 2005).
In 2010 and 2014, we completed measurements of the lattice parameter of an 28Si crystal in order to determine the and, more recently, to realize the kilogram by counting atoms (Massa et al., 2011, 2015). The assessment and further improvements of the measurement accuracy, approaching nine significant digits, require a reliable model of the interferometer operation to quantify or exclude parasitic contributions to the fringe phase originated by unavoidable aberrations.
The operation theory of a triple-Laue interferometer was developed by Bonse & Hart (1965), Bonse & te Kaat (1971), Bauspiess et al. (1976) and Bonse & Graeff (1977) and refined, with particular emphasis on the aberration effects on the fringe phase, by Vittone & Zosi (1994), Mana & Vittone (1997a,b) and Mana & Montanari (2004). In the present paper, we report an experimental verification of the dynamical-theory calculation of the out-of-focus effect on the fringe phase.
The paper is organized as follows. After a short description of the experimental setup, in Section 3 we sketch the of the interferometer operation. Section 4 reports the numerical calculation of the defocus effect on the fringe phase for the interferometer cut from the 28Si crystal whose lattice parameter was an input datum for the determination of the All the computations were carried out with the aid of Mathematica (Wolfram Research, 2020). The relevant notebook is given as supplementary material. The measured values of the fringe-phase sensitivity to the defocus are given in Section 5.
2. X-ray interferometry
As shown in Fig. 1, our X-ray interferometer splits and recombines, by a separate analyser crystal, Mo Kα1 X-rays by Laue diffraction in perfect Si crystals. X rays are collimated to about 0.25 mrad divergence by means of a slit (not shown in the figure) placed in front of the interferometer. The splitter, mirror and analyser operate in symmetric geometry, where the {220} diffracting planes are perpendicular to the crystals' surfaces. When moving the analyser orthogonally to the diffracting planes, the interfering beams are phase shifted and travelling interference fringes are observed, the period being the plane spacing, d220 ≃ 192 pm. To ensure temperature uniformity and stability and to eliminate the adverse influence of the of air, the apparatus is hosted in a (passive) thermovacuum chamber.
Detailed descriptions of the experimental apparatus are given elsewhere (Bergamin et al., 1993, 2003; Ferroglio et al., 2008; Massa et al., 2011, 2015, 2020). The analyser is displaced using a guide where an L-shaped carriage slides on a quasi-optical rail. An active platform with three piezoelectric legs rests on the carriage. Each leg expands vertically and shears in the two transverse directions, thus positioning the analyser over six to atomic-scale accuracy. The analyser displacement, parasitic rotations (pitch, yaw and roll) and transverse motions (horizontal and vertical) are measured via laser interferometry, differential wavefront sensing and capacitive transducers. Feedback loops provide (axial) picometre positioning, nanoradian alignment and axial movements with nanometre straightness.
3. of the interferometer operation
The solutions of the Takagi–Taupin equations for the propagation of X-rays in perfect crystals and triple-Laue interferometers are given by Mana & Vittone (1997a) and Mana & Montanari (2004). The crystal field resembles a quantum two-level system. In a two-dimensional model, these authors define the Hilbert space , where V2 is a two-dimensional (the space of the dispersion-surface branches) and is the space of the square-integrable functions.
With coherent and monochromatic illumination and omission or rearrangement of common constant and phase terms, the reciprocal-space representations of the waves that leave the interferometer after crossing it along paths 1 and 2 are
where is the deviation parameter, ζ = 2πΔz/Δe is the dimensionless defocus, p is the variable conjugate to x,
accounts for the photoelectric absorption,
are the complex amplitudes of the O and H Bloch waves , is the reciprocal-space representation of the amplitude of the incoming Bloch wave,
are the scattering amplitudes, and τ = 2πt/Δe is the dimensionless crystal thickness. The indexes β = σ, π indicating the polarization states parallel and orthogonal to the reflection plane have been omitted. The symbols that are not defined above are given in Fig. 2 and Table 1. With the convention adopted, the displacement s and defocus Δz are positive in the x and −z directions, respectively.
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On the analyser surface, the direct- and reciprocal-space representations of the complex amplitude of the incoming Bloch wave are
where K = |KO,H| is the wavenumber, σ is the beam radius and 1/r is the wavefront curvature.
Free propagation leads to the spatial separation of the O and H components of (1a) and (1b) into two localized single-component waves, which overlap and interfere. Detectors do not resolve the interference pattern but measure the total photon fluxes. Consequently, an integration is necessary to describe the detected signals:
where n = O, H.
Owing the limited transverse extensions of the interfering beams and large detectors, we set an infinite aperture and carry out the integration in the σ and π polarizations incoherently. Therefore, in (6),
Finally, since photons produced by conventional X-ray sources can have any polarization, with equal probability, we add theAccording to (7), the crystal displacement s gives rise to travelling fringes whose period is the spacing d220 = 2π/h of the diffracting planes. In the the defocus (the difference between the splitter-to-mirror and analyser-to-mirror distances) shifts by 2πyΔz/Δe the phase of the plane wave components travelling along paths 1 and 2. In the real space, it shears the interfering beams by . With a perfect geometry (that is, tS = tA, t1 = t2 and υ = θΔe/d220 = 0) and , the symmetries and imply that the defocus has no effect on the phase of the H-beam fringes and changes linearly those of the O beam (Mana & Vittone, 1997b).
4. Numerical simulation
By using the formalism developed by Mana & Vittone (1997a) and Mana & Montanari (2004) and outlined in Section 3, we calculated the visibility and phase of the travelling fringes as a function of the defocus. The parameters used, which refer to the interferometer used to determine the lattice parameter of 28Si (Massa et al., 2011, 2015), are listed in Table 2. The visibility loss and phase shift are shown in Fig. 3. For large defocuses, the phase shift is sensitive to the exact interferometer geometry and operation: when the phasor representing the fringes is around the origin, a phase jump occurs. In Fig. 3, this bypass occurs for the fringes belonging to the reflected beam. Also, no phase measurement is possible without fringe visibility.
The interferometer defocus contributes to the travelling-fringe phase as 2πcnΔz, which is valid if , where Λe is the Pendellösung length. As shown in Fig. 3, imperfections break the visibility and phase symmetries and change the sensitivities to the defocus. To take the interferometer geometry's uncertainty into account, we evaluated the phase sensitivities to the defocus, cO and cH, by a Monte Carlo simulation. Table 2 gives the simulation parameters and the standard deviations of the normal distributions from which we repeatedly sampled the crystal thicknesses, defocus and analyser misalignment. They have been set according to the experimental capabilities to control the interferometer geometry and alignment. The means and standard deviations of the Monte Carlo populations are cO = 0.0082 (20) µm−1 (O beam) and cH = 0.0004 (20) µm−1 (H beam).
In the next section we will explain that the observable quantity is the differential sensitivity Δc = cO − cH, whose frequencies of occurrence in the Monte Carlo population are shown in Fig. 4. The population mean and standard deviation are Δc = 0.0078 (9) µm−1; the reduced uncertainty follows by the correlation between cO and cH.
5. Experimental test
For the experimental verification of the these predictions, we mined useful data from the archive of the lattice parameter measurements carried out in 2010. At that time, to countercheck a previous measurement of the angle between the analyser front mirror and the diffracting planes (Bergamin et al., 1999; Sasso et al., 2021), we defocused the interferometer by moving the analyser transversely, in a direction opposite the z axis in Fig. 2, and recorded the interferometer signals before and after the displacement. Because of the supporting platform's small operating range, the defocus was limited to 3.20 (15) µm.
A feedback loop, relying on the laser interferometer's signals, locked to zero the axial displacement and the pitch and yaw rotations of the analyser (to within 1 pm and 1 nrad). In this way, we ensured that the translation occurred in the plane of the front mirror, which is ideally parallel to the diffracting planes.
However, a miscut angle makes the front mirror slightly misaligned and, therefore, the defocus shows a small axial component (Sasso et al., 2021). For this reason, the only quantity experimentally observable is the difference between the phase sensitivities of the travelling fringes observed in the O and H beams. In fact, any axial displacement originates a common mode phase that can be eliminated by differentiation of the phase change in the O and H branches.
The vertical and horizontal offsets between the laser and X-ray beams were nullified to avoid differential Abbe errors. In the O beam, the interference pattern is imaged into a multi-anode photomultiplier through a stack of eight NaI(Tl) scintillators and the virtual pixel having no vertical offset is identified. In the H beam, we imaged the whole vertical extension of the interference pattern and nullified the offset by windowing.
Since it was not possible to eliminate the drift between the optical and X-ray fringes, we implemented a modulation–demodulation strategy. We repeatedly defocused the interferometer and the two – optical and X-ray – signals were sampled before and after each defocusing. As shown in Fig. 5, the phases of the travelling X-ray fringes before and after defocus were recovered by least-squares estimations via the model
where Jn, Γn, Ω and ϕn are unknown parameters to be determined, and n = O, H. ϕO − ϕH = 2πΔcΔz is the phase difference that we seek with the aim of verifying the theoretical Δc prediction, and the constraints Γn > 0 and Ω > 0 were applied (Bergamin et al., 1991). The displacement s is positive when the analyser moves towards the positive x direction (see Figs. 1 and 2).
Next, as shown in Fig. 6, the drift was identified and subtracted by fitting the phases of the X-ray fringes with polynomials differing only by the sought phase difference. For the O beam, we calculated the phase difference between the defocused and focused fringes at the virtual pixel having the same residual vertical offset as the H beam. The result is shown in Fig. 7. The difference between the phase sensitivities to the defocus of the O and H fringes obtained from the data shown in Figs. 6 and 7 is 0.028 (4)/3.20 (15) µm−1 = 0.0088 (12) µm−1. The phase gradient in Fig. 7 is due to the second derivative of the residual angular instability of the laser interferometer. This instability is copied by the feedback loops into the analyser misalignment, and the nonlinearity is not removed by the modulation–demodulation process.
To compare the predicted difference against the observed ones, we chose the positive signs of the analyser displacement and defocus in the same way in both the interferometer model (1b) and the analysis of the experimental data (8). The results are given in Table 3 and shown in Fig. 4. The measurements were carried out on 7, 12 and 17 May 2010. The first two measurements were carried out at two different axial positions of the analyser, spaced by about 30 mm. We carried out the last after the analyser's reversal, which exchanged the entrance and exit surfaces.
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6. Conclusions
A study of the signals from a combined X-ray and optical interferometer revealed a satisfactory agreement between the observed and predicted phase shifts of the travelling X-ray fringes due to the defocus. This result is directly applicable to assessing the measured values of the 28Si lattice parameter and confirms that micrometre changes of focus were irrelevant to the error budget of our 5 cm scan (Massa et al., 2011, 2015). In fact, a very large parasitic defocus of 10 µm associated with an s = 5 cm travel of the analyser will cause, in the worst O-beam case, a fractional phase error of cOd220/s ≃ 3 × 10−10.
However, if a 1 nm m−1 fractional accuracy is the aim, measurements over submillimetre scans must consider the changes of focus seriously, for instance, those due to an insufficient flatness of the analyser surface (Andreas & Kuetgens, 2020).
Our result is also applicable to the completeness of the
of X-ray diffraction in a perfect crystal, although this time we were not aiming to testing the dynamical-theory predictions. The unexplained discrepancy of the 2010-05-12 datum might be ascribed to an insufficient control of the interferometer operation. Future experiments with larger and better-calibrated defocus are feasible and might put our conclusions on a still safer footing.Supporting information
Mathematica notebook with the simulation routines (application/vnd.wolfram.mathematica). DOI: https://doi.org/10.1107/S1600576721007962/vh5143sup1.txt
Acknowledgements
Open access funding provided by Istituto Nazionale di Ricerca Metrologica within the CRUI-CARE Agreement.
Funding information
Support was received from the Ministero dell'Istruzione, dell'Università e della Ricerca.
References
Andreas, B. & Kuetgens, U. (2020). Meas. Sci. Technol. 31, 115005. Web of Science CrossRef Google Scholar
Basile, G., Becker, P., Bergamin, A., Cavagnero, G., Franks, A., Jackson, K., Kuetgens, U., Mana, G., Palmer, E. W., Robbie, C. J., Stedman, M., Stümpel, J., Yacoot, A. & Zosi, G. (2000). Proc. R. Soc. London A, 456, 701–729. Web of Science CrossRef Google Scholar
Bauspiess, W., Bonse, U. & Graeff, W. (1976). J. Appl. Cryst. 9, 68–80. CrossRef IUCr Journals Web of Science Google Scholar
Bergamin, A., Cavagnero, G., Durando, G., Mana, G. & Massa, E. (2003). Meas. Sci. Technol. 14, 717–723. Web of Science CrossRef CAS Google Scholar
Bergamin, A., Cavagnero, G. & Mana, G. (1991). Meas. Sci. Technol. 2, 725–734. CrossRef Web of Science Google Scholar
Bergamin, A., Cavagnero, G. & Mana, G. (1993). Rev. Sci. Instrum. 64, 3076–3081. CrossRef CAS Web of Science Google Scholar
Bergamin, A., Cavagnero, G., Mana, G., Massa, E. & Zosi, G. (1999). Meas. Sci. Technol. 10, 1353. Web of Science CrossRef Google Scholar
Bonse, U. & Graeff, W. (1977). X-ray Optics, edited by H. J. Queisser, Topics in Applied Physics, Vol. 22. Berlin, Heidelberg: Springer. Google Scholar
Bonse, U. & Hart, M. (1965). Z. Phys. 188, 154–164. CrossRef CAS Web of Science Google Scholar
Bonse, U. & te Kaat, E. (1971). Z. Phys. 243, 14–45. CrossRef CAS Web of Science Google Scholar
Ferroglio, L., Mana, G. & Massa, E. (2008). Opt. Express, 16, 16877–16888. Web of Science CrossRef PubMed CAS Google Scholar
Fujii, K., Massa, E., Bettin, H., Kuramoto, N. & Mana, G. (2018). Metrologia, 55, L1–L4. Web of Science CrossRef CAS Google Scholar
Greene, G. L., Kessler, E. G., Deslattes, R. D. & Börner, H. (1986). Phys. Rev. Lett. 56, 819–822. CrossRef PubMed CAS Web of Science Google Scholar
Kessler, E. G. Jr, Dewey, M. S., Deslattes, R. D., Henins, A., Börner, H. G., Jentschel, M., Doll, C. & Lehmann, H. (1999). Phys. Lett. A, 255, 221–229. CAS Google Scholar
Krueger, E., Nistler, W. & Weirauch, W. (1998). Metrologia, 35, 203–209. Google Scholar
Krueger, E., Nistler, W. & Weirauch, W. (1999). Metrologia, 36, 147–148. Google Scholar
Mana, G. & Montanari, F. (2004). Acta Cryst. A60, 40–50. Web of Science CrossRef CAS IUCr Journals Google Scholar
Mana, G. & Vittone, E. (1997a). Z. Phys. B, 102, 189–196. CrossRef CAS Web of Science Google Scholar
Mana, G. & Vittone, E. (1997b). Z. Phys. B, 102, 197–206. CrossRef CAS Web of Science Google Scholar
Massa, E., Mana, G., Kuetgens, U. & Ferroglio, L. (2011). Metrologia, 48, S37–S43. Web of Science CrossRef CAS Google Scholar
Massa, E., Sasso, C. P. & Mana, G. (2020). MAPAN, 35, 511–519. Web of Science CrossRef Google Scholar
Massa, E., Sasso, C. P., Mana, G. & Palmisano, C. (2015). J. Phys. Chem. Ref. Data, 44, 031208. Web of Science CrossRef Google Scholar
Rainville, S., Thompson, J. K., Myers, E. G., Brown, J. M., Dewey, M. S., Kessler, E. G., Deslattes, R. D., Börner, H. G., Jentschel, M., Mutti, P. & Pritchard, D. E. (2005). Nature, 438, 1096–1097. Web of Science CrossRef PubMed CAS Google Scholar
Sasso, C. P., Mana, G. & Massa, E. (2021). Metrologia, 58, 034004. Web of Science CrossRef Google Scholar
Stepanov, S. (2004). Proc. SPIE, 5536, 16–26. CrossRef Google Scholar
Vittone, E. & Zosi, G. (1994). Metrologia, 31(3), 211–218. CrossRef Web of Science Google Scholar
Wolfram Research (2020). Mathematica, Version 12.2. Wolfram Research Inc., Champaign, IL, USA. Google Scholar
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