Next Article in Journal
One-Year Results of a Randomized Controlled Clinical Trial of Immediately Loaded Short Implants Placed in the Lower Posterior Single Molar Using a Complete Digital Workflow
Next Article in Special Issue
A Low-Cost Terahertz Camera
Previous Article in Journal
Relay Selection Schemes for FSO Communications over Turbulent Channels
Previous Article in Special Issue
Sub-Terahertz Computer Generated Hologram with Two Image Planes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Fastest Thickness Measurements with a Terahertz Time-Domain System Based on Electronically Controlled Optical Sampling

1
TOPTICA Photonics AG, Lochhamer Schlag 19, 82166 Gräfelfing, Germany
2
Friedrich-Alexander University Erlangen Nürnberg, 91058 Erlangen, Germany
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(7), 1283; https://doi.org/10.3390/app9071283
Submission received: 1 March 2019 / Revised: 22 March 2019 / Accepted: 22 March 2019 / Published: 27 March 2019
(This article belongs to the Special Issue Terahertz and Far Infrared Pulsed Devices and Systems)

Abstract

:

Featured Application

Terahertz thickness gauging of polymers and paint layers; one-hundred percent inspection of plastic pipes; process control.

Abstract

We apply a fast terahertz time-domain spectroscopy (TDS) system based on electronically controlled optical sampling (ECOPS) to contact-free thickness gauging. Our setup achieves a measurement speed of 1600 terahertz pulse traces per second, which—to our knowledge—represents the fastest thickness measurement performed with any terahertz system to-date. Using a silicon wafer as a test sample, we compare data of the ECOPS experiment to results obtained with a conventional terahertz TDS system and a mechanical micrometer gauge. We show that all systems provide consistent results within the measurement accuracy. Moreover, we perform thickness measurements of a rapidly moving sample and characterize the ECOPS setup with respect to time-domain dynamic range, signal-to-noise ratio, and spectral properties.

1. Introduction

Non-destructive thickness measurements [1] play an increasingly important role in industrial quality control, cost management and process monitoring. In automotive manufacturing, the correct structure of paint and coating layers determines not only the overall aesthetics, but also resistance to UV radiation damage and corrosion. In pharmaceuticals, tablet coatings regulate the release of the drug inside the body. In polymer extrusion, precise thickness measurements can reduce costs while ensuring an uncompromised product quality. All of these industrial applications require a measurement technique that is intrinsically safe, accurate to the micrometer level, and capable of resolving multi-layered samples. Above all, the gauging system needs to be inherently fast, providing at least 1000 thickness readings per second, to match the standard set by alternative methods such as eddy current devices [2].
Initial work on terahertz-based thickness measurements dates back to the 1990s [3,4], when Duvillaret et al. investigated methods for the extraction of optical constants (i.e., the complex refractive index of samples) via thickness assessments. Subsequent works focused on introducing new algorithms for the extraction of material parameters [5,6,7], on paint thickness [8,9,10] and coating layer [11,12] gauging, and on the identification of concealed defects [13].
Most of the work accomplished to-date made use of conventional terahertz TDS systems [14]. A standard TDS system employs a femtosecond laser, with the laser beam being split in two paths. The first pulse train illuminates the emitter—usually a photoconductive antenna—and generates terahertz radiation. The terahertz pulses interact with the sample and arrive at the receiver side, where they are superimposed with the second laser pulse train. In order to “readout” the terahertz pulses, the second laser pulse train is time-shifted with the help of a mechanical delay stage.
For a delay length of several 100 picoseconds, the measurement speed of conventional systems ranges from a few to few 100 terahertz pulse traces per second [15,16,17], and thus falls short of the requirements for high-speed monitoring.
In order to overcome the bottleneck in terms of measurement speed, two faster terahertz TDS concepts have been proposed: asynchronous optical sampling (ASOPS) [18,19,20] and, more recently, ECOPS [21,22,23]. Both techniques operate without a mechanical delay, and have proven capable of recording more than 1000 terahertz pulse traces per second.
ASOPS, in brief, employs two pulsed lasers with fixed, albeit slightly different repetition rates. The time delay between the two lasers varies periodically between zero and the inverse repetition rate. Consequently, the time needed to acquire a complete terahertz trace depends on the difference between the two repetition rates. If a sufficiently large difference is chosen, the measurement speed can amount to several thousand scans per second. However, there are several limitations for the use of ASPOS in ”real-world” applications. First, femtosecond fiber lasers in the telecom wavelength regime of 1.5 µm—the workhorses in most of today’s terahertz TDS systems [15,24]—have typical repetition rates between 250 MHz and 40 MHz. Using these lasers for ASOPS would lead to unnecessarily long scan ranges from 4 ns to 25 ns, i.e., most of the measurement time would be wasted. Lasers with GHz repetition rates can, in principle, reduce the amount of “dead time”, yet these repetition rates call for more complex Ti:sapphire systems [20,25]. The use of Ti:sapphire lasers, in turn, changes the optical wavelength to ~0.8 µm, which complicates pulse transmission through optical fibers. Either way, any ASOPS system that measures 1000 (or more) traces per second with nanosecond scan ranges requires transimpedance amplifiers and data acquisition electronics of an extremely high bandwidth (hundreds of MHz to several GHz). Not only does this bandwidth range have detrimental effects on the SNR, but it also drives the size and price of the system.
ECOPS, likewise, employs two femtosecond lasers. In contrast to ASOPS, however, only one laser has a fixed repetition rate. The repetition rate of the second laser is tunable, and is modulated around that of the first laser. The net effect is equal to a mechanical delay, just significantly faster, with data acquisition rates well in the kHz range [23]. Scan range and scanning speed can be selected according to the requirement of the experiment. Kim et al. demonstrated that ECOPS achieved a better dynamic range than ASOPS at the same measurement speed, or vice versa, a drastically (~50x) higher measurement speed for the same dynamic range [22]. Recently, the same group applied an ECOPS system to three-dimensional terahertz imaging [26]. In this work, we demonstrate the usage of ECOPS for terahertz-based thickness measurements at unprecedented speed.
In the following sections of this paper, we first describe the ECOPS setup and its main components. We then discuss the system performance in terms of time-domain dynamic range, signal-to-noise ratio and terahertz bandwidth, including the effect of pulse-trace averaging and the interplay between measurement speed and scan range. Finally, we apply our ECOPS instrument to thickness measurements of a piece of a silicon wafer, and compare the results to values obtained with a conventional TDS system and with a mechanical micrometer gauge. Simulating the scenario of an industrial production line, we examine the aforementioned wafer with the sample itself moving at 700 mm/s.

2. Instrumentation

Figure 1 illustrates the measurement scheme of our ECOPS system. The setup employs two passively mode-locked femtosecond lasers with an emission wavelength around 1560 nm, a repetition rate of 80 MHz and a pulse width of less than 80 fs. The incident power on the terahertz antennas is about 25 mW.
One of the lasers (“Master”) has a fixed cavity length and therefore a fixed repetition rate. The other laser (“Slave”) has a tunable repetition rate, realized by including a short free-space path in the cavity, where light is coupled out of the fiber and back-reflected by a mirror attached to a piezo actuator. Each laser features a photodiode, which converts a fraction of the optical pulses to electronic signals. These signals are further processed in a phase detector, which generates a voltage output proportional to the phase difference between the pulse trains of master and slave. A proportional-integral-derivative (PID) controller regulates this voltage signal to zero by acting on the piezo in the slave cavity. In this way, the pulse train of the slave laser is phase-locked to that of the master laser. An additional modulation signal introduces a sinusoidal variation of the phase difference between the two pulse trains and thus generates the intended “delay-stage” effect.
The system further includes photoconductive switches (Fraunhofer Heinrich-Hertz-Institute, Berlin, Germany) for terahertz generation and detection. Their semiconductor composition is based on an InAlAs/InGaAs heterostructure [27,28], with the emitter being iron doped [29]. The emitter features a strip-line antenna geometry with a 25 µm gap; the receiver incorporates a 25 µm dipole antenna with a 10 µm gap. The antennas are packaged in compact housings (25 mm diameter), which include a silicon lens on the output side, as well as SM/PM fiber pigtails for the laser light.
For signal readout and data acquisition, we use a transimpedance amplifier with a bandwidth of 3.5 MHz and gain of 106 V/A (model DHPCA-100, Femto Messtechnik, Berlin, Germany), and a digital oscilloscope (Picoscope 4262, Pico Technology, St. Neots, UK).
All of the thickness measurements described in this work utilize a reflection setup, with the sample placed at the focus of the terahertz beam. The angle of incidence is 8° and the terahertz spot size is approximately 2.5 mm.

3. System Characterization

Figure 2 depicts the time-domain trace of a single-shot measurement acquired at maximum speed, i.e., completed within 625 µs (green curve), together with an average of 1000 pulse traces (black). While the main pulses appear virtually indistinguishable, the averaged trace exhibits a significantly reduced noise floor, which is particularly evident in the pre-pulse background signal (inset).
Terahertz-based thickness gauging almost always relies on an evaluation of time-domain traces. A crucial parameter to quantify system performance is thus the time-domain dynamic range (TD-DR), defined as the maximum peak-to-peak amplitude of the pulse trace divided by the root mean square (RMS) of the noise floor [30,31,32]:
TD - DR =   maximum   peak - to - peak   of   amplitude RMS   of   noise   floor .
Figure 3a shows the TD-DR of the ECOPS instrument at its maximum measurement speed (200 ps scan range @ 1600 Hz, blue triangles) and for the slowest setting (700 ps @ 200 Hz, red circles). As a benchmark, we have included values obtained with a state-of-the-art terahertz TDS system (“TeraFlash pro”, TOPTICA Photonics AG), with its mechanical delay adjusted to a comparable scan range (200 ps @ 6 Hz, green squares). For each setting, we have evaluated both single-shot measurements as well as 10, 100 and 1000 trace averages. The single-shot TD-DR of the ECOPS system amounts to 61 dB (=20 × log (TD-DR)), independent of the measurement speed. This agreement is expected, since the slower measurement covers a larger scan range (see below) and consequently, overall data rates and thus, electrical bandwidth requirements are comparable. By contrast, the TeraFlash pro achieves a TD-DR of 82 dB, significantly higher than that of the ECOPS system. We attribute this difference to two decisive characteristics of the design: First, the TeraFlash pro benefits from an extremely precise mechanical delay [15], the low timing jitter of which translates into an excellent signal quality. Even more important, the slower measurement speed of the TeraFlash pro permits the use of (comparatively) low-bandwidth—and hence, low-noise—electronics for signal readout. Both effects contribute to the high TD-DR, as evident from Figure 3a.
Averaging multiple time traces, the TD-DR is expected to scale with the number of averages Nave according to:
TD - DR   ( dB ) 20 log ( N ave ) .
Indeed, we find that averages of 10, 100, and 1000 terahertz pulse traces increase the TD-DR of the ECOPS system by approximately 10 dB, 20 dB and 30 dB, respectively. A similar signal gain is observed for the TeraFlash pro, too. Figure 3b rearranges the same data as a function of the measurement time. In this regard, the ECOPS setup actually outperforms the TeraFlash pro, achieving a TD-DR of 91 dB in less than one second. We will return to the trade-off between signal quality and measurement speed in Section 4.
A complementary parameter in practical applications is the time-domain signal-to-noise ratio (TD-SNR), which characterizes the minimum signal change that can still be quantified. The TD-SNR is defined as the ratio of the mean peak-to-peak amplitude and its standard deviation [30,31,32]:
TD - SNR =   mean   peak - to - peak   amplitude standard   deviation   of   amplitude .
Figure 4a compares TD-SNR values of the ECOPS system at 1600 Hz and 200 Hz to values obtained with the TeraFlash pro. As before, we present values for single-shot measurements and 10, 100 and 1000 averages. Since a single measurement does not have any standard deviation, we calculate the TD-SNR from 10 consecutive runs, and apply the same method to the averaged data (for instance, the TD-SNR value for 100 averages is calculated from 10 runs, each run comprising 100 averaged time traces). We find that TD-SNR values from 10 single-shot runs amount to 50 dB and 55 dB for ECOPS at 1600 Hz and 200 Hz, respectively, and 74 dB for the TeraFlash pro. Akin to the TD-DR, we find that a factor of 10 in the number of averages improves the TD-SNR by ~10 dB, in agreement with refs [30,31,32]. Whilst the higher TD-SNR values of the TeraFlash pro are expected, the difference between the two datasets obtained with ECOPS is still subject to further investigation. Tentatively, the higher measurement speed (1600 Hz as compared to 200 Hz) results in an increased timing jitter, which has no effect on the background noise (cf. Figure 3) but on the reproducibility of the signal amplitude and consequently, the TD-SNR.
Figure 4b depicts the same TD-SNR data as a function of the measurement time. Viewed that way, the performance of the different systems is comparable: they all achieve similar TD-SNR values in the same measurement time.
Yet another relevant parameter for terahertz TDS systems is the spectral bandwidth. Figure 5 shows terahertz power spectra, calculated by a fast Fourier transform of time traces obtained with our ECOPS setup at 1600 Hz. In a single-shot measurement, the system achieves a peak dynamic range (PDR) of 38 dB and the signal reaches the noise floor at 3.4 THz. All of the dips observed in the spectrum correspond to literature values of water vapor absorption lines, as documented in the HITRAN database [33]. With 1000 averages, the PDR increases to 68 dB and the detectable signal extends to ~4.8 THz, still within a measurement time of only 0.6 s. Please note that the number of averages affects the spectral bandwidth but not the resolution, which only depends on the scan range.
Figure 6 illustrates the interplay between the scan range and the measurement speed of our ECOPS instrument. Depending on the experimental requirements, the measurement speed can be flexibly selected between 200 and 1600 terahertz pulse traces per second. The increase in measurement speed is achieved by reducing the travel of the piezo in the slave-laser cavity, corresponding to a reduction of the scan range. Set to the lowest speed, the ECOPS system achieves a scan range of about 700 ps. This large range enables the assessment of thick structures (~7 cm in reflection, assuming a double pass through a sample with refractive index of 1.5), or spectroscopic measurements with high resolution (~1.4 GHz). Even at this speed, the system still exceeds the limits of our conventional TDS system by a factor of ~5. Vice versa, at maximum speed, the scan range of the ECOPS system amounts to 200 ps. The ECOPS technology is then ~40 times faster than our state-of-the-art TDS unit with mechanical delay.

4. Thickness Gauging

In order to investigate the precision of the ECOPS TDS system in thickness measurements, we chose a piece of an un-doped wafer of high-resistivity silicon (CrysTec GmbH, Berlin, Germany) as our sample. The silicon wafer has negligible dispersion, negligible absorption [34] and two plane-parallel surfaces. Owing to the high refractive index of the material (n ~ 3.4), both the front and the back surface of the wafer strongly reflect the incident terahertz pulses. We extract the sample thickness via time-of-flight measurements, i.e., from the time difference between the zero-crossings of the pulse “echoes” from either side. Figure 7 presents the results of thickness measurements carried out with the ECOPS TDS system (at 1600 pulse traces per second), the TeraFlash pro (measurement speed 10 traces per second), and a manual micrometer gauge (Holex 421505, Hoffmann GmbH, Munich, Germany).
In order to quantify the reproducibility of the thickness readings, we repeated the terahertz-based measurements 10,000 times both with ECOPS and the TeraFlash pro, and 50 times with the micrometer gauge. The error bars in Figure 7 denote the standard deviation of the results. With ECOPS, the TeraFlash pro, and the micrometer gauge, we obtain thickness values of 527 ± 1.5 µm, 527.94 ± 0.04 µm, and 527.5 ± 2.5 µm, respectively. We find that all three methods yield consistent results within a 1-sigma error margin. Note, however, that the scatter of the TeraFlash pro results is approx. 40 times smaller than that of the ECOPS measurement. We attribute this to the difference in measurement speed between the two systems: the ECOPS system is 160 times faster, which comes at a cost in measurement accuracy. On the other hand, a repeatability on the 1 µm level is sufficient for the majority of industrial applications. Moreover, as shown in the previous section, averaging successive pulse traces offers a trade-off between measurement speed and accuracy. For instance, extracting thickness data from 10 averaged traces reduces the standard deviation to ~0.5 µm (corresponding to an increase in the TD-SNR by a factor of 3 ≈ 10 dB, see Figure 4), yet the ECOPS system remains 16 times faster than the TeraFlash pro.
In order to validate the suitability of the system for a fast “real-world” thickness measurement, we moved the silicon sample at speeds similar to that of actual production lines. Our mock-up conveyor belt consisted of a vinyl-record player, on which the wafer was placed. The rotation speed of 45 rpm translates into a lateral velocity of about 700 mm/sec. The ECOPS measurement speed enables us to evaluate the thickness of the wafer with a spatial resolution of about 0.4 mm (not considering the actual focus size). Figure 8 depicts the ECOPS-based thickness readings across the wafer (red dots). The ruler shown in the photograph illustrates the horizontal axis. For comparison, we also examined selected locations on the same sample with the manual micrometer gauge. We note that the thickness varies along the sample by as much as 10 µm, with ECOPS and micrometer-gauge results being in good agreement.
We note that besides measurement speed, another important performance parameter is the minimum layer thickness an instrument can resolve. Preliminary results (not shown here) indicate that the thickness of layers as thin as ~30 µm can still be accurately determined. We surmise that even thinner layers can be characterized using more sophisticated data post-processing algorithms.

5. Conclusions

We characterized a fast terahertz TDS system with respect to signal quality and measurement speed, and applied the system to non-contact thickness measurements of a piece of high-resistivity silicon. Employing two synchronized femtosecond lasers rather than a mechanical delay stage, the ECOPS system achieves a maximum measurement speed of 1600 pulse traces per second, at a scan range of 200 ps. With the scan range extended to 700 ps, the system still maintains a measurement speed of 200 traces per second. This is one to two orders of magnitude faster than state-of-the-art TDS systems with mechanical delay.
Set to a measurement speed of 1600 traces per second, the ECOPS system achieves a time-domain dynamic range of about 60 dB for a single-shot measurement, and ~90 dB with 1000 trace averages, still within a measurement time of less than one second. The time-domain signal-to-noise ratio amounts to ~50 dB and ~80 dB for 1 and 1000 averages, respectively.
In the frequency-domain, the ECOPS setup produces spectra with a frequency range of 3.4 THz within 625 µs, and 4.8 THz within 625 ms.
Thickness measurements performed with ECOPS agreed well with results obtained with both a conventional TDS system and a micrometer gauge. Mounting the sample on a record player, we demonstrated the suitability of the system for continuous thickness monitoring in an industrial production line. To the best of our knowledge, our work represents the fastest thickness measurements accomplished with terahertz pulses so far.

Author Contributions

Conceptualization and technology demonstration: N.V., T.P., M.Y.; software: M.Y., A.J.; experiments and data analysis: A.J., M.Y., K.D., A.D.; project supervision, N.V., P.L., B.S. All authors contributed to the manuscript. This publication comprises part of the PhD thesis of Milad Yahyapour.

Funding

This research received no external funding.

Acknowledgments

We would like to sincerely thank Mira Naftaly (NPL, UK) for helpful discussions, and Tom Tongue (TOPTICA Photonics Inc.) for careful proofreading of the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zhu, Y.K.; Tian, G.Y.; Lu, R.S.; Zhang, H. A review of optical NDT technologies. Sensors 2011, 11, 7773–7798. [Google Scholar] [CrossRef] [PubMed]
  2. Olympus. Eddy Current Array Products Specifications. Available online: https://www.olympus-ims.com/en/omniscan-eca/#!cms[tab]=%2Fomniscan-eca%2Fspecifications (accessed on 27 February 2019).
  3. Duvillaret, L.; Garet, F.; Coutaz, J.L. A reliable method for extraction of material parameters in terahertz time-domain spectroscopy. IEEE J. Sel. Top. Quantum Electron. 1996, 2, 739–746. [Google Scholar] [CrossRef]
  4. Duvillaret, L.; Garet, F.; Coutaz, J.L. Highly precise determination of optical constants and sample thickness in terahertz time-domain spectroscopy. Appl. Opt. 1999, 38, 409–415. [Google Scholar] [CrossRef]
  5. Dorney, T.D.; Baraniuk, R.G.; Mittleman, D.M. Material parameter estimation with terahertz time-domain spectroscopy. JOSA A 2001, 18, 1562–1571. [Google Scholar] [PubMed]
  6. Pupeza, I.; Wilk, R.; Koch, M. Highly accurate optical material parameter determination with THz time-domain spectroscopy. Opt. Express 2007, 15, 4335–4350. [Google Scholar] [CrossRef] [PubMed]
  7. Jen, C.Y.; Richter, C. Sample thickness measurement with THz-TDS: Resolution and implications. J. Infrared Millim. Terahertz Waves 2014, 35, 840–859. [Google Scholar] [CrossRef]
  8. Yasui, T.; Yasuda, T.; Sawanaka, K.I.; Araki, T. Terahertz paintmeter for noncontact monitoring of thickness and drying progress in paint film. Appl. Opt. 2005, 44, 6849–6856. [Google Scholar] [CrossRef] [PubMed]
  9. Yasuda, T.; Iwata, T.; Araki, T.; Yasui, T. Improvement of minimum paint film thickness for THz paint meters by multiple-regression analysis. Appl. Opt. 2007, 46, 7518–7526. [Google Scholar] [CrossRef] [PubMed]
  10. Su, K.; Shen, Y.C.; Zeitler, J.A. Terahertz sensor for non-contact thickness and quality measurement of automobile paints of varying complexity. IEEE Trans. Terahertz Sci. Technol. 2014, 4, 432–439. [Google Scholar] [CrossRef]
  11. Fitzgerald, A.J.; Cole, B.E.; Taday, P.F. Nondestructive analysis of tablet coating thicknesses using terahertz pulsed imaging. J. Pharm. Sci. 2005, 94, 177–183. [Google Scholar] [CrossRef] [PubMed]
  12. Zeitler, J.A.; Shen, Y.; Baker, C.; Taday, P.F.; Pepper, M.; Rades, T. Analysis of coating structures and interfaces in solid oral dosage forms by three dimensional terahertz pulsed imaging. J. Pharm. Sci. 2007, 96, 330–340. [Google Scholar] [CrossRef]
  13. Zhong, H.; Xu, J.; Xie, X.; Yuan, T.; Reightler, R.; Madaras, E.; Zhang, X.C. Nondestructive defect identification with terahertz time-of-flight tomography. IEEE Sens. J. 2005, 5, 203–208. [Google Scholar] [CrossRef]
  14. Grischkowsky, D.; Keiding, S.; van Exter, M.; Fattinger, C. Far-infrared time-domain spectroscopy with terahertz beams of dielectrics and semiconductors. JOSA B 1990, 7, 2006–2015. [Google Scholar] [CrossRef]
  15. Vieweg, N.; Rettich, F.; Deninger, A.; Roehle, H.; Dietz, R.; Göbel, T.; Schell, M. Terahertz-time domain spectrometer with 90 dB peak dynamic range. J. Infrared Millim. Terahertz Waves 2014, 35, 823–832. [Google Scholar] [CrossRef]
  16. Wilmink, G.J.; Ibey, B.L.; Rivest, B.D.; Grundt, J.E.; Roach, W.P.; Tongue, T.D.; Schulkin, B.J.; Laman, N.; Peralta, X.G.; Roth, C.C.; et al. Development of a compact terahertz time-domain spectrometer for the measurement of the optical properties of biological tissues. J. Biomed. Opt. 2011, 16, 047006. [Google Scholar] [CrossRef] [PubMed]
  17. Molter, D.; Ellrich, F.; Weinland, T.; George, S.; Goiran, M.; Keilmann, F.; Beigang, R.; Léotin, J. High-speed terahertz time-domain spectroscopy of cyclotron resonance in pulsed magnetic field. Opt. Express 2010, 18, 26163–26168. [Google Scholar] [CrossRef] [PubMed]
  18. Elzinga, P.A.; Lytle, F.E.; Jian, Y.; King, G.B.; Laurendeau, N.M. Pump/probe spectroscopy by asynchronous optical sampling. Appl. Spectrosc. 1987, 41, 2–4. [Google Scholar] [CrossRef]
  19. Bartels, A.; Thoma, A.; Janke, C.; Dekorsy, T.; Dreyhaupt, A.; Winnerl, S.; Helm, M. High-resolution THz spectrometer with kHz scan rates. Opt. Express 2006, 14, 430–437. [Google Scholar] [CrossRef] [PubMed]
  20. Bartels, A.; Cerna, R.; Kistner, C.; Thoma, A.; Hudert, F.; Janke, C.; Dekorsy, T. Ultrafast time-domain spectroscopy based on high-speed asynchronous optical sampling. Rev. Sci. Instruments 2007, 78, 035107. [Google Scholar] [CrossRef]
  21. Tauser, F.; Rausch, C.; Posthumus, J.H.; Lison, F. Electronically controlled optical sampling using 100 MHz repetition rate fiber lasers. Int. Soc. Opt. Photonics 2008, 6881, 68810O. [Google Scholar]
  22. Kim, Y.; Yee, D.-S. High-speed terahertz time-domain spectroscopy based on electronically controlled optical sampling. Opt. Lett. 2010, 35, 3715–3717. [Google Scholar] [CrossRef]
  23. Dietz, R.J.B.; Vieweg, N.; Puppe, T.; Zach, A.; Globisch, B.; Göbel, T.; Leisching, P.; Schell, M. All fiber-coupled THz-TDS system with kHz measurement rate based on electronically controlled optical sampling. Opt. Lett. 2014, 39, 6482–6485. [Google Scholar] [CrossRef] [PubMed]
  24. Sartorius, B.; Roehle, H.; Künzel, H.; Böttcher, J.; Schlak, M.; Stanze, D.; Venghaus, H.; Schell, M. All-fiber terahertz time-domain spectrometer operating at 1.5 μm telecom wavelengths. Opt. Express 2008, 16, 9565–9570. [Google Scholar] [CrossRef] [PubMed]
  25. Janke, C.; Först, M.; Nagel, M.; Kurz, H.; Bartels, A. Asynchronous optical sampling for high-speed characterization of integrated resonant terahertz sensors. Opt. Lett. 2005, 30, 1405–1407. [Google Scholar] [CrossRef] [PubMed]
  26. Yee, D.-S.; Jin, K.H.; Yahng, J.S.; Yang, H.-S.; Kim, C.Y.; Ye, J.C. High-speed terahertz reflection three-dimensional imaging using beam steering. Opt. Express 2015, 23, 5027–5034. [Google Scholar] [CrossRef] [PubMed]
  27. Dietz, R.J.B.; Globisch, B.; Gerhard, M.; Velauthapillai, A.; Stanze, D.; Roehle, H.; Koch, M.; Göbel, T.; Schell, M. 64 μW pulsed terahertz emission from growth optimized InGaAs/InAlAs heterostructures with separated photoconductive and trapping regions. Appl. Phys. Lett. 2013, 103, 061103. [Google Scholar] [CrossRef]
  28. Globisch, B.; Dietz, R.J.B.; Stanze, D.; Göbel, T.; Schell, M. Carrier dynamics in Beryllium doped low-temperature-grown InGaAs/InAlAs. Appl. Phys. Lett. 2014, 104, 172103. [Google Scholar] [CrossRef]
  29. Globisch, B.; Dietz, R.J.B.; Kohlhaas, R.B.; Göbel, T.; Schell, M.; Alcer, D.; Semtsiv, M.; Masselink, W.T. Iron doped InGaAs: Competitive THz emitters and detectors fabricated from the same photoconductor. J. Appl. Phys. 2017, 121, 053102. [Google Scholar] [CrossRef]
  30. Naftaly, M.; Dudley, R.A. Calibration of Terahertz Spectrometers. In Proceeding of the International Society for Optical Engineering, Nanjing, China, 26–29 May 2011. [Google Scholar]
  31. Naftaly, M. Metrology issues and solutions in THz time-domain spectroscopy: Noise, errors, calibration. IEEE Sens. J. 2013, 13, 8–17. [Google Scholar] [CrossRef]
  32. Naftaly, M. Terahertz Metrology; Artech House: Norwood, MA, USA, 2015; pp. 69–76. [Google Scholar]
  33. Rothman, L.S.; Gordon, I.E.; Babikov, Y.; Barbe, A.; Benner, D.C.; Bernath, P.F.; Birk, M.; Bizzocchi, L.; Boudon, V.; Brown, L.R.; et al. The HITRAN2012 molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transf. 2013, 130, 4–50. [Google Scholar] [CrossRef]
  34. Van Exter, M.; Grischkowsky, D. Optical and electronic properties of doped silicon from 0.1 to 2 THz. Appl. Phys. Lett. 1990, 56, 1694–1696. [Google Scholar] [CrossRef]
Figure 1. Schematic of the terahertz TDS system based on ECOPS. Red, blue and orange lines denote infrared optical signals, electronic signals, and the terahertz beam path, respectively.
Figure 1. Schematic of the terahertz TDS system based on ECOPS. Red, blue and orange lines denote infrared optical signals, electronic signals, and the terahertz beam path, respectively.
Applsci 09 01283 g001
Figure 2. Single-shot terahertz pulse trace (green) taken at a measurement speed of 1600 traces per second, and average of 1000 consecutive pulse traces (black). The inset shows a magnified cutout of the pre-pulse noise floor.
Figure 2. Single-shot terahertz pulse trace (green) taken at a measurement speed of 1600 traces per second, and average of 1000 consecutive pulse traces (black). The inset shows a magnified cutout of the pre-pulse noise floor.
Applsci 09 01283 g002
Figure 3. (a) TD-DR as a function of the number of pulse-trace averages. The plot compares values obtained with ECOPS at measurement speeds of 1600 traces per second (blue triangles), 200 traces per second (red circles) and a conventional terahertz TDS system (TeraFlash pro) operating at 6 traces per second (green squares). (b) Same data, as a function of the measurement time.
Figure 3. (a) TD-DR as a function of the number of pulse-trace averages. The plot compares values obtained with ECOPS at measurement speeds of 1600 traces per second (blue triangles), 200 traces per second (red circles) and a conventional terahertz TDS system (TeraFlash pro) operating at 6 traces per second (green squares). (b) Same data, as a function of the measurement time.
Applsci 09 01283 g003
Figure 4. (a) TD-SNR as a function of the number of pulse-trace averages. Blue triangles: ECOPS at 1600 traces per second; red circles: ECOPS at 200 traces per second, green squares: TeraFlash pro. (b) Same data versus measurement time.
Figure 4. (a) TD-SNR as a function of the number of pulse-trace averages. Blue triangles: ECOPS at 1600 traces per second; red circles: ECOPS at 200 traces per second, green squares: TeraFlash pro. (b) Same data versus measurement time.
Applsci 09 01283 g004
Figure 5. Dynamic-range spectrum of the terahertz power for a single-shot measurement (black trace), and for 10 (red), 100 (green), and 1000 (blue) averages of terahertz pulse traces. Spectra are obtained with the ECOPS system at 1600 traces per second. Vertical grey lines indicate water vapor absorption frequencies according to the HITRAN database [33].
Figure 5. Dynamic-range spectrum of the terahertz power for a single-shot measurement (black trace), and for 10 (red), 100 (green), and 1000 (blue) averages of terahertz pulse traces. Spectra are obtained with the ECOPS system at 1600 traces per second. Vertical grey lines indicate water vapor absorption frequencies according to the HITRAN database [33].
Applsci 09 01283 g005
Figure 6. Scan range of the ECOPS system vs. measurement speed.
Figure 6. Scan range of the ECOPS system vs. measurement speed.
Applsci 09 01283 g006
Figure 7. Thickness measurement results of a single point on the silicon wafer, obtained with ECOPS, the TeraFlash pro and the micrometer gauge. Measurements with ECOPS and the TeraFlash pro were repeated 10,000 times each, and the micrometer gauge measurement was repeated 50 times. The error bars represent the standard deviation of the results.
Figure 7. Thickness measurement results of a single point on the silicon wafer, obtained with ECOPS, the TeraFlash pro and the micrometer gauge. Measurements with ECOPS and the TeraFlash pro were repeated 10,000 times each, and the micrometer gauge measurement was repeated 50 times. The error bars represent the standard deviation of the results.
Applsci 09 01283 g007
Figure 8. ECOPS-based thickness measurement of a moving silicon wafer (red). Selected spots on the same sample (not rotating) were measured with the micrometer gauge for comparison (black). The green line in the photograph marks the approximate positions of the measured spots.
Figure 8. ECOPS-based thickness measurement of a moving silicon wafer (red). Selected spots on the same sample (not rotating) were measured with the micrometer gauge for comparison (black). The green line in the photograph marks the approximate positions of the measured spots.
Applsci 09 01283 g008

Share and Cite

MDPI and ACS Style

Yahyapour, M.; Jahn, A.; Dutzi, K.; Puppe, T.; Leisching, P.; Schmauss, B.; Vieweg, N.; Deninger, A. Fastest Thickness Measurements with a Terahertz Time-Domain System Based on Electronically Controlled Optical Sampling. Appl. Sci. 2019, 9, 1283. https://doi.org/10.3390/app9071283

AMA Style

Yahyapour M, Jahn A, Dutzi K, Puppe T, Leisching P, Schmauss B, Vieweg N, Deninger A. Fastest Thickness Measurements with a Terahertz Time-Domain System Based on Electronically Controlled Optical Sampling. Applied Sciences. 2019; 9(7):1283. https://doi.org/10.3390/app9071283

Chicago/Turabian Style

Yahyapour, Milad, Angelika Jahn, Katja Dutzi, Thomas Puppe, Patrick Leisching, Bernhard Schmauss, Nico Vieweg, and Anselm Deninger. 2019. "Fastest Thickness Measurements with a Terahertz Time-Domain System Based on Electronically Controlled Optical Sampling" Applied Sciences 9, no. 7: 1283. https://doi.org/10.3390/app9071283

APA Style

Yahyapour, M., Jahn, A., Dutzi, K., Puppe, T., Leisching, P., Schmauss, B., Vieweg, N., & Deninger, A. (2019). Fastest Thickness Measurements with a Terahertz Time-Domain System Based on Electronically Controlled Optical Sampling. Applied Sciences, 9(7), 1283. https://doi.org/10.3390/app9071283

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop