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Plasmonic heterodyne spectrometry for resolving the spectral signatures of ammonia over a 1-4.5 THz frequency range

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Abstract

We present a heterodyne terahertz spectrometry platform based on plasmonic photomixing, which enables the resolution of narrow spectral signatures of gases over a broad terahertz frequency range. This plasmonic heterodyne spectrometer replaces the terahertz mixer and local oscillator of conventional heterodyne spectrometers with a plasmonic photomixer and a heterodyning optical pump beam, respectively. The heterodyning optical pump beam is formed by two continuous-wave, wavelength-tunable lasers with a broadly tunable terahertz beat frequency. This broadly tunable terahertz beat frequency enables spectrometry over a broad bandwidth, which is not restricted by the bandwidth limitations of conventional terahertz mixers and local oscillators. We use this plasmonic heterodyne spectrometry platform to resolve the spectral signatures of ammonia over a 1-4.5 THz frequency range.

© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

1. Introduction

Heterodyne terahertz spectrometry is an attractive modality for gas sensing, because it can provide high spectral resolution for resolving narrow gas spectral lines [16]. It involves background radiation from a terahertz or blackbody source interacting with the gas under test. The radiation received by the heterodyne spectrometer carries the spectral signatures of the gas and is mixed with a terahertz local oscillator signal to downconvert the targeted terahertz spectral signature to an intermediate frequency (IF) signal in the radio frequency (RF) range. The downconverted spectrum is then resolved by backend IF electronics. Schottky diode, superconductor-insulator-superconductor (SIS), and hot electron bolometer (HEB) mixers are used for frequency-downconversion in conventional heterodyne terahertz spectrometers [612]. While conventional heterodyne terahertz spectrometers offer high spectral resolution and high sensitivity levels at cryogenic temperatures, their room temperature sensitivity and operation bandwidth are restricted by the sensitivity limitations of room-temperature terahertz mixers and frequency tunability constraints of terahertz local oscillators, respectively.

To address these limitations, we recently introduced a heterodyne terahertz spectrometry scheme based on plasmonic photomixing [1320]. By replacing the terahertz mixer and local oscillator of conventional heterodyne spectrometers with a plasmonic photomixer and a heterodyning optical pump beam, respectively, we demonstrated a heterodyne terahertz detector with quantum-level sensitivities at room temperature and operation bandwidths exceeding 5 THz [21]. In this work, we use this plasmonic photomixer to resolve the spectral signatures of ammonia. Ammonia gas sensing is of interest for agriculture, combustion exhaust treatment, clinical breath analysis, and industrial process monitoring [2226]. We chose ammonia for our first spectrometry measurements because its rotational spectra in the terahertz band provide comparable intensity to the strongest infrared vibrational bands. In addition, ammonia has relatively well-isolated lines in the 1-4.5 THz domain, allowing us to demonstrate the very broad operation bandwidth of the plasmonic heterodyne spectrometer, which cannot be offered by conventional heterodyne spectrometers.

2. Spectrometry setup based on plasmonic photomixing

A schematic diagram of the experimental setup is shown in Fig. 1. Two continuous-wave, wavelength-tunable lasers with center wavelengths of 780 nm and 785 nm (TOPTICA #DLC-DL-PRO-780 and TOPTICA #LD-0785-0080-DFB-1) are combined to provide the heterodyning optical pump beam with a tunable beat frequency in the 0.1-4.5 THz range. The linewidth of the heterodyning optical pump beam is ∼3 MHz, twice the linewidth of the lasers producing it [17]. The heterodyning optical beam is modulated by an acousto-optic modulator (Gooch & Housego AOMO 3080-125) with a 50% duty cycle and a 100 kHz rate and then focused onto the active area of the plasmonic photomixer mounted on a silicon lens [21]. The IF output of the plasmonic photomixer at ∼1 GHz is amplified by a low-noise amplifier (Mini-Circuits ZRL-1150) and filtered by a bandpass filter (Mini-Circuits ZVBP-909) with a bandwidth of BWIF = 15 MHz and a center frequency of fBPF ∼1 GHz. Subsequently, the IF signal is detected by a power meter (Mini-Circuits ZX47-60LN) using a lock-in amplifier with the 100 kHz modulation reference signal, a 2 s integration time, and a 4 kHz bandwidth.

 figure: Fig. 1.

Fig. 1. Schematic diagram of the terahertz spectrometry setup.

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A 1.3-cm-long, 1-inch-diameter, room-temperature ammonia gas cell with two 1.6-mm-thick high-density polyethylene windows (Wavelength References, Inc.) is placed in front of the plasmonic photomixer such that the background blackbody radiation incident on the silicon lens passes through the gas cell. No additional optical components were placed between the gas cell and silicon lens. Therefore, the resolved spectra contain spectral dips at the ammonia absorption frequencies. A calibrated blackbody source (IR-563 from Boston Electronics) is placed on the other side of the gas cell to provide the background blackbody radiation. The temperature of the blackbody source and the optical pump power are set to 500°C (773 K) and 30 mW, respectively, for all of the reported spectra in this manuscript. However, it should be noted that even in the absence of the external blackbody source, all of the demonstrated ammonia spectral lines in this manuscript are still observable due to the presence of ambient blackbody radiation at ∼300 K.

Frequency scanning is performed by varying the center wavelength of one of the tunable lasers (TOPTICA #LD-0785-0080-DFB-1) using a computer program, thereby varying the optical beat frequency, ωbeat. The detected IF power at each frequency step, which carries the received spectral information at ωbeat ± ωBPF over the bandwidth of the bandpass filter, is recorded by the computer. During all of the spectrometry measurements, the wavelengths of the two laser beams forming the heterodyning optical pump beam are monitored in real time by an optical spectrum analyzer.

One of the advantages of the plasmonic heterodyne terahertz spectrometer is that the scanning frequency range can be limited to specific frequency ranges around the targeted molecular spectral lines. This advantage allows the resolution of molecular spectral signatures over a broad terahertz frequency range with a high scanning efficiency. To achieve this goal, the locations of the spectral lines of the targeted molecule(s) are determined first. Next, as shown in Fig. 2, the pump laser beat frequency is set to each spectral line’s center frequency (e.g., ωbeat1 and ω′beat1) one after another, and the spectral data over an instantaneous bandwidth equal to the bandwidth of the backend IF electronics, BWIF, are resolved. If the bandwidth of the backend IF electronics is not sufficient to cover the entire targeted frequency range around the targeted center frequencies, the pump laser beat frequency is tuned around each spectral line’s center frequency (e.g., ωbeat1, ωbeat2, ωbeat3 and ω′beat1, ω′beat2, ω′beat3) one after another with a frequency step smaller than the bandwidth of the backend IF electronics. While the ultimate spectral resolution limit is set by the pump laser linewidth, the resolved spectral resolution is equal to the frequency resolution of the backend IF electronics. By combining the resolved spectra at each optical pump beat frequency, the spectral information is extracted at the desired center frequencies (e.g., ω0 and ω′0) over a spectral range that can be significantly broader than the bandwidth of the backend IF electronics. By using this approach, a high scanning efficiency is maintained independent of the locations and linewidths of the molecular spectral lines since the frequency scanning range and step can both be decreased/increased when observing narrow/broad linewidths.

 figure: Fig. 2.

Fig. 2. Broadband heterodyne spectrometry over specific frequency ranges around ω0 and ω0 with high scanning efficiency.

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3. Experimental results and discussion

Figure 3 shows the detected power spectrum for a frequency scanning range of 2.35-2.47 THz, which reveals the expected ammonia absorption dips at approximately 2.359 THz and 2.402 THz [27]. For each individual absorption dip at ωTHz, two spectral dips at optical beat frequencies of ωTHz - ωBPF and ωTHz + ωBPF should be detected, where ωBPF represents the center angular frequency of the IF bandpass filter. However, because of the relatively broad linewidth of the ammonia absorption lines and the fluctuations of the optical beat frequency, the absorption dips at ωTHz - ωBPF and ωTHz + ωBPF are effectively merged together, as shown in Fig. 3. The sinusoidal-like background in the spectrum, shown by the red dashed line, is associated with standing waves formed because of the reflections from the gas cell walls. To eliminate the contribution of these standing waves, we have developed a post-processing algorithm that uses a fitting function to extract the background standing waveform from the measured power spectrum. A high-order polynomial fitting function with a least squares error is used to extract the background standing waveform (i.e., the red dashed line shown in Fig. 3). Then, the extracted background standing waveform is subtracted from the measured power spectrum to eliminate the sinusoidal-like background. The subtracted spectrum is normalized to resolve the ammonia absorption and transmission spectra. The same normalization factor is used to resolve all of the absorption lines of ammonia.

 figure: Fig. 3.

Fig. 3. The detected power spectrum over a 2.35-2.47 THz range with 50 MHz frequency steps. The absorbance spectrum of ammonia, shown on the right, is produced using the simulation tools described in [27].

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Figure 4 shows the resolved transmission spectra around the ammonia absorption lines at 1.215 THz, 1.764 THz, 2.401 THz, 2.950 THz, 3.577 THz, and 4.125 THz after post-processing. For each measurement, the optical pump beat frequency is set near these absorption lines, and the spectral information is resolved over a bandwidth of 60 GHz with 50 MHz frequency steps. The scan time for each 60 GHz band is approximately one hour. The 60 GHz frequency scanning range around each ammonia absorption line is marked with a blue box in the inset absorbance spectra. As shown in Fig. 4, all of the targeted ammonia spectral lines in the 1-4.5 THz frequency range are resolved by only tuning the beat frequency of the optical pump beam. Such a broad frequency scanning range cannot be offered by conventional heterodyne terahertz spectrometers due to the bandwidth limitations of Schottky diode, SIS, and HEB mixers and terahertz local oscillators [28,29]. Since all of these spectrometry measurements are performed in free space and in the absence of any vacuum or purged environment, absorption lines of water and oxygen are also observed when scanning the optical beat frequency around their absorption frequencies.

 figure: Fig. 4.

Fig. 4. The resolved transmission spectra around the ammonia absorption lines at a) 1.215 THz, b) 1.764 THz, c) 2.401 THz, d) 2.950 THz, e) 3.577 THz, and f) 4.125 THz, over a 60 GHz frequency range with 50 MHz frequency steps.

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In analyzing the resolved spectra, the very low amount of ammonia molecules inside the 1.3-cm-long, 1-inch-diameter gas cell should be considered, which leads to relatively low absorption dip strengths. Moreover, the fluctuations in the optical beat intensity and frequency as well as the errors in the gas cell standing wave polynomial fitting function account for the background noise in the resolved spectra. The combination of the weak absorption dips and the considerable background noise results in relatively low signal-to-noise ratio (SNR) levels, measured to vary between 4-20 for the resolved spectra.

Gas cell calibration in the spectrometry setup would enable the development of more accurate post-processing algorithms that would significantly reduce the background noise of the resolved spectra [30]. Another important factor that would significantly improve the SNR and frequency accuracy of the demonstrated heterodyne spectrometry system is stabilization of the lasers that provide the terahertz beat frequency [31,32]. To evaluate the impact of laser fluctuations on the stability of the heterodyne spectrometer, the Allan variance of the normalized output power as a function of integration time is calculated for a fixed optical pump beat frequency. Figure 5 shows the calculated Allan variance as a function of integration time for an optical pump beat frequency of 2 THz. For short integration times, the Allan variance is inversely proportional to the integration time and lock-in amplifier bandwidth of 4 kHz, following the radiometric equation. This is the regime in which the noise is dominated by white noise. However, for longer integration times, the drift in the laser output and the 1/f noise dominate, and the Allan variance deviates from the radiometric equation. The increasing Allan variance values for integration times longer than 3 s imply that laser drift is the ultimate stability limit of the spectrometer.

 figure: Fig. 5.

Fig. 5. Allan variance of the normalized output power as a function of integration time for an optical pump beat frequency of 2 THz.

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The scanning efficiency of the plasmonic heterodyne terahertz spectrometer can be significantly increased by utilizing backend IF electronics with instantaneous bandwidths larger than 15 MHz and using larger optical beat frequency scanning steps. Different types of backend IF electronics developed for conventional heterodyne spectrometers can be combined with the presented plasmonic photomixer to extract spectral data. These backend IF electronics provide different frequency resolutions and instantaneous bandwidths for resolving different molecular spectral lines [33,34]. The scanning efficiency can also be increased by using an optical comb laser as the optical pump source to provide multiple optical beat frequencies simultaneously [3538]. However, since the power of an optical comb is distributed among many comb lines, a small fraction of the total pump power is used for resolving the spectral information at a desired terahertz frequency near the closest optical beat frequency, lowering the IF current corresponding to the desired terahertz frequency. Moreover, although the optical comb lines that produce beat frequencies far from the desired terahertz frequency do not contribute to the IF current corresponding to the desired terahertz frequency, they increase the device noise current [39]. Therefore, the presented spectrometer can offer significantly higher scanning efficiencies by using an optical comb pump at the expense of lower spectrometry sensitivities.

4. Conclusion

In this paper, we report the first demonstration of gas spectrometry through a plasmonic photomixer-based heterodyne detector. The high sensitivity of plasmonic photomixers for heterodyne terahertz detection over a broad terahertz frequency range was recently demonstrated [21]. We use these unique functionalities to resolve the spectral signatures of ammonia over the 1-4.5 THz frequency range, extending the spectral scanning range of existing heterodyne terahertz spectrometers beyond two octaves, with a high scanning efficiency. The spectral resolution and accuracy of the presented gas spectrometry platform can be further improved by stabilizing the lasers that pump the plasmonic photomixer.

Funding

Office of Naval Research (N00014-14-1-0573); National Science Foundation (1305931); U.S. Department of Energy (DE-SC0016925).

Disclosures

The authors declare no conflicts of interest.

References

1. H. W. Hubers, “Terahertz Heterodyne Receivers,” IEEE J. Sel. Top. Quantum Electron. 14(2), 378–391 (2008). [CrossRef]  

2. G. L. Manney, M. L. Santee, M. Rex, N. J. Livesey, M. C. Pitts, P. Veefkind, E. R. Nash, I. Wohltmann, R. Lehmann, L. Froidevaux, L. R. Poole, M. R. Schoeberl, D. P. Haffner, J. Davies, V. Dorokhov, H. Gernandt, B. Johnson, R. Kivi, E. Kyrö, N. Larsen, P. F. Levelt, A. Makshtas, C. T. McElroy, H. Nakajima, M. C. Parrondo, D. W. Tarasick, P. von der Gathen, K. A. Walker, and N. S. Zinoviev, “Unprecedented Arctic ozone loss in 2011,” Nature 478(7370), 469–475 (2011). [CrossRef]  

3. S. Solomon, K. H. Rosenlof, R. W. Portmann, J. S. Daniel, S. M. Davis, T. J. Sanford, and G. K. Plattner, “Contributions of Stratospheric Water Vapor to Decadal Changes in the Rate of Global Warming,” Science 327(5970), 1219–1223 (2010). [CrossRef]  

4. G. Neugebauer, C. A. Beichman, B. T. Soifer, H. H. Aumann, T. J. Chester, T. N. Gautier, F. C. Gillett, M. G. Hauser, J. R. Houck, C. J. Lonsdale, F. J. Low, and E. T. Young, “Early Results from the Infrared Astronomical Satellite,” Science 224(4644), 14–21 (1984). [CrossRef]  

5. T. G. Phillips and J. Keene, “Submillimeter astronomy (heterodyne spectroscopy),” Proc. IEEE 80(11), 1662–1678 (1992). [CrossRef]  

6. J. L. Kloosterman, D. J. Hayton, Y. Ren, T. Y. Kao, J. N. Hovenier, J. R. Gao, T. M. Klapwijk, Q. Hu, C. K. Walker, and J. L. Reno, “Hot electron bolometer heterodyne receiver with a 4.7-THz quantum cascade laser as a local oscillator,” Appl. Phys. Lett. 102(1), 011123 (2013). [CrossRef]  

7. M. J. Wengler, “Submillimeter-wave detection with superconducting tunnel diodes,” Proc. IEEE 80(11), 1810–1826 (1992). [CrossRef]  

8. A. D. Semenov, H. W. Hubers, H. Richter, M. Birk, M. Krocka, U. Mair, Y. B. Vachtomin, M. I. Finkel, S. V. Antipov, B. M. Voronov, K. V. Smirnov, N. S. Kaurova, V. N. Drakinski, and G. N. Gol’tsman, “Superconducting hot-electron bolometer mixer for terahertz heterodyne receivers,” IEEE Trans. Appl. Supercond. 13(2), 168–171 (2003). [CrossRef]  

9. J. R. Gao, M. Hajenius, Z. Q. Yang, J. J. A. Baselmans, P. Khosropanah, R. Barends, and T. M. Klapwijk, “Terahertz superconducting hot electron bolometer heterodyne receivers,” IEEE Trans. Appl. Supercond. 17(2), 252–258 (2007). [CrossRef]  

10. T. W. Crowe, R. J. Mattauch, H. P. Roser, W. L. Bishop, W. C. B. Peatman, and X. Liu, “GaAs Schottky diodes for THz mixing applications,” Proc. IEEE 80(11), 1827–1841 (1992). [CrossRef]  

11. J. Zmuidzinas and P. L. Richards, “Superconducting detectors and mixers for millimeter and submillimeter astrophysics,” Proc. IEEE 92(10), 1597–1616 (2004). [CrossRef]  

12. P. Putz, C. E. Honingh, K. Jacobs, M. Justen, M. Schultz, and J. Stutzki, “Terahertz hot electron bolometer waveguide mixers for GREAT,” Astron. Astrophys. 542, L2 (2012). [CrossRef]  

13. N. T. Yardimci and M. Jarrahi, “Nanostructure-Enhanced Photoconductive Terahertz Emission and Detection,” Small 14(44), 1802437 (2018). [CrossRef]  

14. S.-W. Huang, J. Yang, S. H. Yang, M. Yu, D. L. Kwong, T. Zelevinsky, M. Jarrahi, and C. W. Wong, “Globally stable microresonator Turing pattern formation for coherent high-power THz radiation on-chip,” Phys. Rev. X 7(4), 041002 (2017). [CrossRef]  

15. S.-H. Yang, R. Salas, E. M. Krivoy, H. P. Nair, S. R. Bank, and M. Jarrahi, “Characterization of ErAs: GaAs and LuAs: GaAs superlattice structures for continuous-wave terahertz wave generation through plasmonic photomixing,” J. Infrared, Millimeter, Terahertz Waves 37(7), 640–648 (2016). [CrossRef]  

16. S.-H. Yang, R. Watts, X. Li, N. Wang, V. Cojocaru, J. O’Gorman, L. P. Barry, and M. Jarrahi, “Tunable terahertz wave generation through a bimodal laser diode and plasmonic photomixer,” Opt. Express 23(24), 31206–31215 (2015). [CrossRef]  

17. S.-H. Yang and M. Jarrahi, “Spectral characteristics of terahertz radiation from plasmonic photomixers,” Opt. Express 23(22), 28522–28530 (2015). [CrossRef]  

18. S.-H. Yang and M. Jarrahi, “Frequency-tunable continuous-wave terahertz sources based on GaAs plasmonic photomixers,” Appl. Phys. Lett. 107(13), 131111 (2015). [CrossRef]  

19. M. Jarrahi, “Advanced photoconductive terahertz optoelectronics based on nano-antennas and nano-plasmonic light concentrators,” IEEE Trans. Terahertz Sci. Technol. 5(3), 391–397 (2015). [CrossRef]  

20. C. W. Berry, N. Wang, M. R. Hashemi, M. Unlu, and M. Jarrahi, “Significant performance enhancement in photoconductive terahertz optoelectronics by incorporating plasmonic contact electrodes,” Nat. Commun. 4(1), 1622 (2013). [CrossRef]  

21. N. Wang, S. Cakmakyapan, Y.-J. Lin, H. Javadi, and M. Jarrahi, “Room-temperature heterodyne terahertz detection with quantum-level sensitivity,” Nat. Astron. 3(11), 977–982 (2019). [CrossRef]  

22. B. Timmer, W. Olthuis, and A. Van Den Berg, “Ammonia sensors and their applications-a review,” Sens. Actuators, B 107(2), 666–677 (2005). [CrossRef]  

23. W. Y. Peng, R. Sur, C. L. Strand, R. M. Spearrin, J. B. Jeffries, and R. K. Hanson, “High-sensitivity in situ QCLAS-based ammonia concentration sensor for high-temperature applications,” Appl. Phys. B: Lasers Opt. 122(7), 188 (2016). [CrossRef]  

24. K. Owen and A. Farooq, “A calibration-free ammonia breath sensor using a quantum cascade laser with WMS 2f/1f,” Appl. Phys. B: Lasers Opt. 116(2), 371–383 (2014). [CrossRef]  

25. J. D. Whitehead, I. D. Longley, and M. W. Gallagher, “Seasonal and diurnal variation in atmospheric ammonia in an urban environment measured using a quantum cascade laser absorption spectrometer,” Water, Air, Soil Pollut. 183(1-4), 317–329 (2007). [CrossRef]  

26. M. B. Pushkarsky, M. E. Webber, O. Baghdassarian, L. R. Narasimhan, and C. K. N. Patel, “Laser-based photoacoustic ammonia sensors for industrial applications,” Appl. Phys. B: Lasers Opt. 75(2-3), 391–396 (2002). [CrossRef]  

27. C. S. Goldenstein, V. A. Miller, R. M. Spearrin, and C. L. Strand, “SpectraPlot. com: Integrated spectroscopic modeling of atomic and molecular gases,” J. Quant. Spectrosc. Radiat. Transfer 200, 249–257 (2017). [CrossRef]  

28. S. Heyminck, U. U. Graf, R. Güsten, J. Stutzki, H. W. Hübers, and P. Hartogh, “GREAT: the SOFIA high-frequency heterodyne instrument,” Astron. Astrophys. 542, L1 (2012). [CrossRef]  

29. A. Wootten and A. R. Thompson, “The Atacama large millimeter/submillimeter array,” Proc. IEEE 97(8), 1463–1471 (2009). [CrossRef]  

30. D. R. Higgins, “Advanced optical calibration of the Herschel HIFI heterodyne spectrometer,” PhD Thesis, National Univ. Ireland Maynooth (2011).

31. Q. Quraishi, M. Griebel, T. Kleine-Ostmann, and R. Bratschitsch, “Generation of phase-locked and tunable continuous-wave radiation in the terahertz regime,” Opt. Lett. 30(23), 3231–3233 (2005). [CrossRef]  

32. T. Yasui, H. Takahashi, Y. Iwamoto, H. Inaba, and K. Minoshima, “Continuously tunable, phase-locked, continuous-wave terahertz generator based on photomixing of two continuous-wave lasers locked to two independent optical combs,” J. Appl. Phys. 107(3), 033111 (2010). [CrossRef]  

33. J. Horn, O. Siebertz, F. Schmülling, C. Kunz, R. Schieder, and G. Winnewisser, “A 4×1 GHz array acousto-optical spectrometer,” Exp. Astronomy 9(1), 17–38 (1999). [CrossRef]  

34. G. Villanueva and P. Hartogh, “The high resolution chirp transform spectrometer for the SOFIA-GREAT instrument,” Exp. Astronomy 18(1-3), 77–91 (2004). [CrossRef]  

35. T. Yasui, S. Yokoyama, H. Inaba, K. Minoshima, T. Nagatsuma, and T. Araki, “Terahertz frequency metrology based on frequency comb,” IEEE J. Sel. Top. Quantum Electron. 17(1), 191–201 (2011). [CrossRef]  

36. Y. D. Hsieh, Y. Iyonaga, Y. Sakaguchi, S. Yokoyama, H. Inaba, K. Minoshima, F. Hindle, Y. Takahashi, M. Yoshimura, Y. Mori, T. Araki, and T. Yasui, “Terahertz comb spectroscopy traceable to microwave frequency standard,” IEEE Trans. Terahertz Sci. Technol. 3(3), 322–330 (2013). [CrossRef]  

37. Y. D. Hsieh, Y. Iyonaga, Y. Sakaguchi, S. Yokoyama, H. Inaba, K. Minoshima, F. Hindle, T. Araki, and T. Yasui, “Spectrally interleaved, comb-mode-resolved spectroscopy using swept dual terahertz combs,” Sci. Rep. 4(1), 3816 (2015). [CrossRef]  

38. T. Yasui, R. Ichikawa, Y. D. Hsieh, K. Hayashi, H. Cahyadi, F. Hindle, Y. Sakaguchi, T. Iwata, Y. Mizutani, H. Yamamoto, K. Minoshima, and H. Inaba, “Adaptive sampling dual terahertz comb spectroscopy using dual free-running femtosecond lasers,” Sci. Rep. 5(1), 10786 (2015). [CrossRef]  

39. N. Wang and M. Jarrahi, “Noise analysis of photoconductive terahertz detectors,” J. Infrared, Millimeter, Terahertz Waves 34(9), 519–528 (2013). [CrossRef]  

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Figures (5)

Fig. 1.
Fig. 1. Schematic diagram of the terahertz spectrometry setup.
Fig. 2.
Fig. 2. Broadband heterodyne spectrometry over specific frequency ranges around ω0 and ω0 with high scanning efficiency.
Fig. 3.
Fig. 3. The detected power spectrum over a 2.35-2.47 THz range with 50 MHz frequency steps. The absorbance spectrum of ammonia, shown on the right, is produced using the simulation tools described in [27].
Fig. 4.
Fig. 4. The resolved transmission spectra around the ammonia absorption lines at a) 1.215 THz, b) 1.764 THz, c) 2.401 THz, d) 2.950 THz, e) 3.577 THz, and f) 4.125 THz, over a 60 GHz frequency range with 50 MHz frequency steps.
Fig. 5.
Fig. 5. Allan variance of the normalized output power as a function of integration time for an optical pump beat frequency of 2 THz.
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