Photonics Research, Volume. 13, Issue 2, 417(2025)

Modulation-free laser frequency locking using Fano resonance in a crystalline whispering-gallery-mode cavity

Yingjie Lu1, Haotian Wang1、*, Jun Guo1,2, Yaohui Xu1, Yuanchen Hu1, Wujun Li1, Jianing Zhang1, Jie Ma1, and Deyuan Shen1
Author Affiliations
  • 1Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China
  • 2e-mail: guojun@jsnu.edu.cn
  • show less

    A low-thermal-noise, small-sized, monolithic crystalline whispering-gallery-mode cavity can achieve a compact laser frequency locking system. In this study, we propose generating a Fano resonance spectrum within the crystalline cavity to achieve frequency locking without the need for traditional modulation techniques, aiming to further simplify the locking system. By coupling a prism with the crystalline cavity, we generate a Fano transmission spectrum to serve as the error signal for laser frequency locking. Experimental results show that our method achieves a level of noise suppression comparable to the classical Pound-Drever-Hall technique, reducing laser frequency noise to near the thermal noise limit of the crystalline cavity. It enables us to suppress the laser frequency noise to below 1 Hz2/Hz in the offset frequency range of 103105 Hz and achieve a minimum noise of 0.2 Hz2/Hz. We also analyzed various unique optical noises in the Fano locking technique and found that the primary factor limiting laser frequency noise in this work is still the inherent thermal noise of the crystalline cavity. Our results indicate that the proposed Fano locking technique has significant potential to simplify laser locking systems, enhance stability, and reduce overall power consumption and cost.

    1. INTRODUCTION

    Low-noise, narrow-linewidth lasers are highly valued for their wide range of applications, including high-precision measurement, atomic clocks, coherent optical communication, and so on [13]. To achieve ultra-low laser noise, a stable and high-precision frequency reference is often required. Common methods include using ultra-high-finesse Fabry–Perot (FP) cavities [46] and fine absorption lines of atoms or molecules [79]. The state of the art for such low-noise lasers has demonstrated laser linewidths as low as 10 mHz and frequency instabilities down to 4×1017 [10]. However, these precise frequency reference systems require extremely stable operating conditions and vacuum cryogenic environments, which limit their application outside laboratory settings. Some low-cost frequency references, such as fiber interferometers, are also used to achieve low-noise lasers [11,12]. However, due to their long fiber delay lines being sensitive to environmental disturbances, complex and large volume packaging systems are necessary to meet the practical requirements for low laser noise.

    Whispering-gallery-mode (WGM) cavities have demonstrated significant advantages in achieving low-noise lasers with their high Q-factor, small volume, and monolithic structure [13]. These benefits make WGM cavities an excellent choice for frequency references, enabling compact and simplified low-noise laser systems [1419]. WGM cavities made from fluoride crystals, such as MgF2 and CaF2, exhibit even higher Q-factors (>109), lower material thermal noise, and a wider transparency range (350–7000 nm) [2022]. These characteristics provide a promising solution for achieving movable, miniaturized, low-noise laser systems [23,24]. On the other hand, laser frequency locking systems often require active electronic devices to convert optical signals into electrical error signals that can be used for laser locking. The Pound-Drever-Hall (PDH) technique is the most commonly used method [25]. It can “differentiate” the Lorentzian transmission spectrum of the WGM cavity, thereby obtaining a transmission that is linearly dependent on the frequency at resonance. The PDH technique is a well-established method for laser frequency stabilization, which involves phase modulation, demodulation, and mixing to generate an error signal for feedback control. However, the PDH technique not only introduces electronic noise from the modulators and demodulator electronics, but also increases the overall power consumption and complexity, which contradicts the motivation of using WGM cavities to achieve a compact low-noise laser.

    Recently, “all-optical” error signals generated through the interference between optical modes have been proposed for laser frequency locking, eliminating the need for modulation [26,27]. Xu et al. showed the modulation-free laser frequency locking based on the Fano resonance arising from the interference between radiative modes and WGMs within a cylindrical microcavity [26]. However, radiative mode generation efficiency is generally low, requiring ultra-thin tapered fibers for excitation. This setup not only makes the tapered fibers fragile and sensitive to environmental disturbances but also places the WGM in an over-coupled state, reducing the Q-factor [28]. In another work [27], Idjadi et al. demonstrated modulation-free laser frequency locking on an on-chip silicon-on-insulator (SOI) waveguide by utilizing interference between the light from a Mach-Zehnder interferometer and a microring resonator to generate frequency linearly dependent transmission for laser locking. This method simplifies the locking system and provides a promising approach for achieving fully on-chip low-noise lasers. While monolithic integration on a chip and reducing the optical path length can mitigate environmental impacts, these solutions inevitably increase inherent thermal noise. Furthermore, due to the structural and material limitations of the WGM cavity in the above two works, it is not possible to suppress the laser noise to below 1  Hz2/Hz. In particular, the thermal noise of the microcavity significantly increases the low-frequency noise (<103  Hz) of the laser.

    In this paper, while ensuring the small size and compactness of the WGM cavity, we utilize a MgF2 crystalline WGM cavity with excellent thermal properties to achieve a modulation-free laser frequency locking system. We generate Fano resonance modes through the interference between the background light totally internally reflected by a prism and the high-Q WGMs from the crystalline cavity. This method can produce a high-slope, easily controllable error signal. Our experimental results demonstrate laser frequency noise below 1  Hz2/Hz in the Fourier frequency range of 103105  Hz, with a minimum noise level of 0.2  Hz2/Hz at 104  Hz. This performance is more than two orders of magnitude lower than previous results. Typically, modulation-free laser frequency locking schemes require balanced detection to eliminate the impact of laser intensity fluctuations on the error signal. However, our results indicate that using WGMs with higher Q-factors helps mitigate this effect, thereby further simplifying the system. The performance of this locking method is comparable to that of traditional PDH techniques, but it is more compact and has lower power consumption.

    2. CONCEPTS AND THEORETICAL ANALYSIS

    As shown in Fig. 1, the incident light is focused by a lens onto the interface of a prism, where total internal reflection occurs. The focused beam can be considered as a composition of rays propagating in various directions (with different wave vectors) indicated by the arrows in the left inset. Only the rays whose wave vectors match the cavity modes can effectively excite the whispering-gallery modes (WGMs) within the cavity. We assume that this matching ray is RayB, with its wave vector kB approximately satisfying the relation kB·cosθ=kC, where kC represents the wave vector of the cavity mode, and θ denotes the incident angle of RayB. The remaining rays can collectively be referred to as RayA, which are directly subjected to total internal reflection by the prism. These two types of rays, RayA and RayB, will interfere in the far field, such as at a photodetector.

    Schematic for generation of Fano spectrum and laser frequency locking. RayA and RayB interfere to produce the Fano spectrum. The left inset shows a schematic of the coupling between the prism and the crystalline cavity. A light ray with a wave vector kB satisfies kB·cos θ=kC, which can excite the WGM with a wave vector kC. The right inset depicts the Fano spectrum used as the error signal for laser frequency locking. Frequency fluctuations caused by external disturbances (horizontal direction) will be converted into intensity fluctuations (vertical direction). The conversion ratio depends on the frequency discrimination accuracy, which is related to the Q-factor of the WGM cavity and the photoelectric conversion efficiency.

    Figure 1.Schematic for generation of Fano spectrum and laser frequency locking. RayA and RayB interfere to produce the Fano spectrum. The left inset shows a schematic of the coupling between the prism and the crystalline cavity. A light ray with a wave vector kB satisfies kB·cosθ=kC, which can excite the WGM with a wave vector kC. The right inset depicts the Fano spectrum used as the error signal for laser frequency locking. Frequency fluctuations caused by external disturbances (horizontal direction) will be converted into intensity fluctuations (vertical direction). The conversion ratio depends on the frequency discrimination accuracy, which is related to the Q-factor of the WGM cavity and the photoelectric conversion efficiency.

    From the perspective of Fano resonance, RayB represents the WGM modes with discrete energy spectra (Lorentzian transmission spectrum), and RayA represents the continuous energy spectra. The interference between these two spectra will produce a Fano transmission spectrum. As shown in the right-hand inset in Fig. 1, the line shape of the Fano transmission spectrum is linearly dependent on the frequency near the cavity resonance. If external noise perturbs the relative frequency between the laser and the cavity resonance, the Fano effect can convert this disturbance directly into transmission intensity fluctuations. Thus, it can serve as an error signal similar to that in classical PDH locking techniques. Furthermore, for high-Q WGM cavities, the resulting Fano transmission spectrum offers high frequency discrimination accuracy, enabling precise laser frequency locking.

    The interference intensity of the fields of RayA and RayB in the far field can be expressed as I=|EA|2+|Γ|2|EB|2+2|EA||Γ||EB|cosΔφ.

    Here, EA and EB represent the amplitudes of RayA and RayB, respectively. Δϕ=ΔϕpathϕΓ represents the phase difference between the two interfering rays. For this interference process, it is crucial to account not only for the phase difference arising from their different optical paths Δϕpath, but also for an additional phase shift ϕΓ induced by the cavity for RayB. Similar to the add-drop coupling system between a WGM cavity and a waveguide, the complex reflectivity of the WGM cavity for RayB can be expressed as Γ(ω)=raeiϕ(ω)1r·aeiϕ(ω),where r is the coupling coefficient of RayB to the crystal mode, which can be controlled experimentally by adjusting the relative position of the prism and the WGM cavity, as well as the incident beam spot. ϕ(ω) and 1a represent the roundtrip phase shift and loss of the cavity mode, respectively. The phase shift ϕ(ω)=ω·neff·L/c, where ω is the laser frequency, neff is the effective refractive index of the cavity mode, and L is the roundtrip length. Therefore, the phase angle of the complex reflectivity Γ(ω) is the phase shift: ϕΓ=angle[Γ(ω)]. Define the amplitude ratio of RayA to RayB as R|EA/EB|, and the normalized laser frequency as ωNω/ΔωFSR=ϕΓ/2π, where ΔωFSR=(2πc/neff)·L represents the frequency range of one free spectral range (FSR) of the cavity. Thus, the intensity in Eq. (1) can be normalized to the incident light intensity as follows: IN=R2+|Γ(ω)|2+2R|Γ(ω)|cos(Δϕpath2πωN)1+R2.

    According to Eqs. (2) and (3), we calculate the Fano spectrum for different values of R and Δϕpath, as shown in Fig. 2. Figures 2(a)–2(d) show the Fano spectra for Δϕpath=0, 0.5π, π, 1.5π, respectively, corresponding to the q parameter of 0, 1, , and 1 in the classical Fano resonance theory. Clearly, the Fano spectra in Figs. 2(b) and 2(d) can be used as error signals for laser frequency locking. Taking Fig. 2(b) as an example, as R increases, the amplitude of the Fano spectrum decreases, which in turn reduces the slope of the error signal at the locking point. This decrease in slope implies lower frequency discrimination accuracy for the laser, which is undesirable.

    Fano spectra for different values of R and Δϕpath. (a)–(d) correspond to Δϕpath=0, 0.5π, π, 1.5π, respectively. The Fano spectra in (b) and (d) have transmission intensities linearly dependent on the frequency, which can be used as the error signal for laser frequency locking.

    Figure 2.Fano spectra for different values of R and Δϕpath. (a)–(d) correspond to Δϕpath=0, 0.5π, π, 1.5π, respectively. The Fano spectra in (b) and (d) have transmission intensities linearly dependent on the frequency, which can be used as the error signal for laser frequency locking.

    On the other hand, when the R value is relatively small (less than one), it is easy to find another point with the same intensity near the locking point, as shown by the two blue points on the curve for R=0.5 in Fig. 2(b). When the laser is locked, we use intensity as the sole criterion for laser frequency error. In this situation, it is easy for the locking point to switch between these two points, resulting in frequent loss of locking. Therefore, there exists an optimal parameter range for R and Δϕpath that achieves the desired Fano spectrum for laser frequency locking. In experiments, we aim to achieve a Fano spectrum in Fig. 2(b) where the R value is in the range of two to three.

    3. EXPERIMENTAL VERIFICATION AND MEASUREMENT RESULTS

    In the experiment, a WGM cavity made of MgF2 crystal was used, as shown in Fig. 3. The diameter of the cavity is approximately 5 mm, and it was fabricated through mechanical cutting and precision optical polishing. The crystalline WGM cavity has a surface roughness on the nanometer scale and features a narrowed side profile on the rim, which ensures an extremely high Q-factor. The curvature radius of the narrowed rim is about 100 μm, which, compared to other types of WGM cavities, can support a large mode area for the cavity modes. Figure 3(f) shows the calculated field distribution of the fundamental mode using the finite element method. The mode area is estimated to be 200  μm2. The large mode area of the WGM, combined with the excellent thermal properties of the MgF2 crystal, allows this cavity to achieve low inherent thermal noise. This ensures that the laser, once locked, can exhibit an ultra-low frequency noise.

    (a) Experimental setup for Fano laser frequency locking. (b) Self-heterodyne frequency noise measurement system. (c) Prism coupled crystalline cavity system utilizes integrated fiber focusing systems for both inputting and receiving the laser beams. (d)–(f) Pictures of the MgF2 crystalline WGM cavity and the calculated mode field inside the cavity. The scale bars are 1 mm, 50 μm, and 5 μm, respectively. (g) Picture of the packaged system for the cavity coupled by the prism.

    Figure 3.(a) Experimental setup for Fano laser frequency locking. (b) Self-heterodyne frequency noise measurement system. (c) Prism coupled crystalline cavity system utilizes integrated fiber focusing systems for both inputting and receiving the laser beams. (d)–(f) Pictures of the MgF2 crystalline WGM cavity and the calculated mode field inside the cavity. The scale bars are 1 mm, 50 μm, and 5 μm, respectively. (g) Picture of the packaged system for the cavity coupled by the prism.

    Figure 3(a) depicts the experimental setup used for achieving Fano laser frequency locking. The output from a commercial external cavity diode laser (Toptica, CTL1550) is split into two parts by a fiber coupler. One part is coupled into the crystalline cavity through a prism to obtain the Fano spectrum, which serves as the error signal. This signal is fed back to the original laser via the PID servo circuits to control the laser frequency. We employ a dual servo control loop: one loop adjusts the laser current to achieve rapid laser frequency tuning, while the other loop uses a piezoelectric transducer (PZT) to control the laser cavity length, eliminating long-term laser frequency drift.

    (a) Lorentzian lineshape of the transmission spectrum of a WGM in MgF2 crystalline cavity. (b) Corresponding Fano transmission spectrum used for laser frequency locking.

    Figure 4.(a) Lorentzian lineshape of the transmission spectrum of a WGM in MgF2 crystalline cavity. (b) Corresponding Fano transmission spectrum used for laser frequency locking.

    For the coupling between the prism and the crystalline cavity used in our experiment [Fig. 3(c)], the laser output from a single-mode fiber (SMF) with a quartz end cap is focused onto the total internal reflection interface of the prism by a graded-index (GRIN) lens. The fiber end cap and GRIN lens are encased together in a glass tube. By adjusting the distance between the end cap and the GRIN lens, the focus size at the coupling point of the crystalline cavity can be controlled. This configuration eliminates beam misalignment caused by environmental disturbances to the optical elements in the path, providing excellent stability. Consequently, it could ensure the reliability of subsequent laser frequency locking experiments. The light collection system also employs the same configuration. To improve collection efficiency, the receiving fiber can be replaced with a high numerical aperture multimode fiber (MMF). In this case, the interference effect described in Eq. (3) will occur at the photodetector following the MMF. The analysis of the impact of the MMF on laser noise is discussed in detail in the appendices.

    In the experiment, we first excited only the WGMs of the crystalline cavity. By adjusting the incident angle of the laser beam and the air gap between the prism and the cavity, we can control the WGM to approach the critical coupling condition. At this point, the measured mode linewidth was approximately 0.24 MHz, as shown in Fig. 4(a), corresponding to a Q-factor of 0.8×109 at a wavelength of 1550 nm. Next, by finely adjusting the positions and angles of the GRIN lenses at both the incident and receiving fiber ends, we transformed the transmission spectrum with a Lorentzian profile into a Fano resonance spectrum, as shown in Fig. 4(b). In our experiments, the Fano resonance arises from the interference between the WGM and the background light in continuum at the end face of the receiving fiber (here we use an SMF to collect the laser beam). By adjusting the position and angle of the GRIN lens, we effectively adjust R and Δϕpath in Eq. (3) to obtain the Fano transmission spectrum. The intensity in Fig. 4(b) has been normalized to the incident laser intensity. By performing a linear fit to the spectrum near the resonance (locking point), we can determine the normalized frequency discrimination accuracy, KD=1.23×106  Hz1. It should be pointed out that the maximum amplitude of the Fano spectrum obtained experimentally is around 0.3, which is smaller than the results obtained from numerical calculations [see Fig. 2(b)]. This is because, in the experiment, we cannot independently adjust R and Δϕpath. However, the existing low-noise, high-gain photodetectors are sufficient to convert this signal into an adequate voltage amplitude to meet the requirements of the electronic frequency locking circuit.

    Power spectral density of the laser frequency noise.

    Figure 5.Power spectral density of the laser frequency noise.

    We used a self-heterodyne method based on an unbalanced Michelson interferometer to measure the frequency noise of the laser after locking, as shown in Fig. 3(b). One arm of the interferometer includes a 100 m optical fiber delay line, while the other arm is connected to a fiber stretcher to apply a carrier modulation of several hundred Hz to the beat signal. Both arms are terminated with Faraday rotators to eliminate the impact of polarization fluctuations on the interference signal. The entire interferometer is also well isolated from vibrations and temperature fluctuations, and we use low-noise photodetectors and data acquisition cards to minimize the influence of electronic noise on the measurement system.

    To enhance the stability of the coupling system between the prism and the crystalline cavity, we encapsulated the system as shown in Fig. 3(g). Each optical component is fixed onto a specially designed aluminum substrate using low thermal expansion glue. This structure allows precise micro-adjustment of the coupling gap between the prism and the crystalline cavity. The entire system is enclosed in an aluminum box and employs a thermoelectric cooler (TEC) for precise temperature control, effectively isolating it from environmental mechanical and thermal fluctuations. Figure 5 shows the measured power spectral density (PSD) of the laser frequency noise based on Fano laser locking. Using the packaged crystalline cavity as the frequency reference, the laser frequency was locked using both the Fano resonance spectrum and the classical PDH technique. The resulting frequency noise of the locked laser is shown by the blue and red curves in Fig. 5, respectively. Both locking schemes achieved laser noise levels close to the thermorefractive noise (TRN) limit of the crystalline cavity (red dashed line), demonstrating the capacity of the Fano resonance laser locking scheme proposed in this paper. Compared to the free-running laser noise (black curve), the frequency noise was reduced by more than 50 dB at the maximum, with the lowest frequency noise of approximately 0.2  Hz2/Hz at an offset frequency of 10 kHz. Multiple spurious peaks in the low-frequency range (<1  kHz) are due to environmental vibrations and electronic noise in the locking system. In the high-frequency range from 1 kHz to1 MHz, the noise floor of the laser is limited by the electronic noise in the PID servo control loop. Using the β-line method, we estimated the integrated linewidth of the laser before and after locking to be 62.4 kHz and 89 Hz (0.1 s integration time), respectively, achieving a reduction of over 700 times.

    Contribution of different noise sources to the laser frequency noise after locking.

    Figure 6.Contribution of different noise sources to the laser frequency noise after locking.

    4. NOISE SOURCE ANALYSIS

    The key of our Fano laser locking technique is the generation of an error signal analogous to that in the classical PDH technique through optical interference. This “all-optical” error signal eliminates certain electronic noise sources, such as residual modulation noise introduced by electro-optic modulators. However, it is also essential to discuss the unique optical noise inherent in this laser locking system. As shown in Fig. 6, we present the contributions of various optical noise sources to the frequency noise of the locked laser. The mathematical derivations of these noise contributions are provided in Appendix C.

    First, we find that, the laser frequency noise is still limited by the inherent TRN of the crystalline cavity. This implies that employing larger mode areas and larger-sized cavities could help further reduce laser noise. Theoretically, the WGM mode field area of the crystalline cavity increases with its polar quantum number. However, considering the Q-factor of the WGM and the coupling conditions, we can only excite a few low-order WGMs in the experiment. Figure 7 shows that the laser frequency noise at a 10 Hz Fourier frequency decreases with the increase in the WGM mode field area. It also presents the field distributions and corresponding frequency noise of several low-order WGMs that can be excited in the experiment. The second source of frequency noise is due to laser intensity fluctuations. Since the error signal in the Fano locking method is derived directly from the detected transmission intensity, intensity noise of the laser will directly translate into fluctuations in the error signal. According to Eq. (D1) in Appendix D, we can reduce this type of noise by increasing the frequency discrimination accuracy KD. In our laser locking system, the contribution of intensity noise is still an order of magnitude lower than the experimentally measured frequency noise. Even if it surpasses the thermal noise of the crystalline cavity, we can mitigate the impact of intensity fluctuations on the error signal through balanced detection techniques. In the experiment, we used an MMF to achieve higher efficiency in light collection, as shown by the red fiber in the encapsulation structure in Fig. 3(g). In this configuration, the interference between the WGM and the background light in the continuum occurs at the photodetector at the end of the fiber. Consequently, the difference in propagation constants between these two modes within the multimode fiber leads to a Δϕpath that is influenced by the noise of the fiber itself. Numerical estimates indicate that this type of noise contributes much less to the laser frequency noise compared to other types and can therefore be neglected. The final type of noise, arising from the thermal expansion of the MgF2 crystal, is also negligible.

    Laser frequency noise floor at 10 Hz Fourier frequency, limited by the TRN of the crystalline cavity, is related to the WGM mode field area. The inset shows the field distributions of WGM modes of different polar orders for 1, 2, and 5.

    Figure 7.Laser frequency noise floor at 10 Hz Fourier frequency, limited by the TRN of the crystalline cavity, is related to the WGM mode field area. The inset shows the field distributions of WGM modes of different polar orders for 1, 2, and 5.

    5. CONCLUSION

    In conclusion, we utilized a coupling system between a prism and a crystalline WGM cavity to obtain a Fano transmission spectrum, which served as the error signal for laser frequency locking. This approach successfully reduced the laser frequency noise to a level close to the thermal noise limit of the crystalline cavity. Due to the high Q-factor and excellent thermo-mechanical properties of the crystalline cavity, it allows us to reduce the laser frequency noise to below 1  Hz2/Hz within the Fourier frequency range of 103 to 105  Hz, achieving a minimum noise level of 0.2  Hz2/Hz. To evaluate the potential performance of this method, we also discussed the contributions of unique optical noise sources in the Fano locking technique to the frequency noise of the locked laser. The experimental results revealed that the primary limiting factor for the locked laser noise is still the inherent thermal noise of the crystalline cavity. It demonstrates that this method achieves the same level of laser noise suppression as the classical PDH technique, with noise levels more than two orders of magnitude lower than previously reported modulation-free locking methods, which is shown in Table 1. Therefore, the proposed Fano locking technique has significant potential to simplify laser locking systems, enhance stability, and reduce overall power consumption and cost.

    Comparison of Laser Locking System Based on WGM Cavities

    YearMaterialSchemeMinimum NoiseIntegral Linewidth
    2011 [23]MgF2PDH-290 Hz
    2017 [15]MgF2PDH1  Hz2/Hz at 1 kHz119 Hz25 Hz (without spikes) 0.1 s integration time
    2017 [24]MgF2PDH1  Hz2/Hz at 200 Hz<0.5  kHz
    2023 [26]SilicaFano2.25  Hz2/Hz at 10 kHz4 kHz 0.05 s integration time
    2024 [27]SiliconInterference105  Hz2/Hz at 10 kHz330 kHz
    This workMgF2Fano0.2  Hz2/Hz at 10 kHz89 Hz 0.1 s integration time

    APPENDIX A: ERROR SIGNAL

    The light intensity after interference is converted into an error signal (electrical signal) by the photodetector, ε=INKP0. K is the photoelectric conversion efficiency, and P0 is the total power of RayA and RayB. Thus, Eq. (3) is rewritten as ε={R2+|Γ(ω)|2+2R|Γ(ω)|cos[ΔϕpathϕΓ(ω)]}KP01+R2.

    APPENDIX B: FIBER PHASE NOISE CONTRIBUTION

    The fluctuation of the error signal caused by fiber phase noise Δϕpath is δε={2R|Γ(ω0)|sin[ΔϕpathϕΓ(ω)]}KP01+R2·δ(Δϕpath).

    When the laser is locked, the laser frequency is at the cavity resonance, i.e., ϕΓ(ω0)=0; ω0 is the resonance frequency of the crystalline cavity. From Fig. 2, to obtain the error signal for laser frequency locking, Δϕpath is required to be π/2; thus Eq. (B1) can be expressed as δε=[2R|Γ(ω0)|·KP01+R2]·δ(Δϕpath).

    The power spectral density (PSD) of the error signal noise caused by fiber phase noise can be written as [2931] SδεΔϕpath(f)=[2R|Γ(ω0)|·KP01+R2]2·Sδ(Δϕpath)(f),where SδΔϕpath(f) represents fiber phase noise: SδΔϕ(f)=4πLλ2kBT2κΔn2(1ndndT+αL)2F(f).

    Here, L, λ, κ, T, and kB represent the fiber length, laser wavelength, thermal conductivity of the fiber, temperature, and Boltzmann constant, respectively. 1ndndT and αL are the thermo-optic coefficient and thermal expansion coefficient of the fiber, respectively. Δn is the difference in effective refractive indices of two different modes in the multimode fiber.

    APPENDIX C: LASER INTENSITY NOISE CONTRIBUTION

    Based on Eq. (A1), the fluctuation of the error signal caused by laser power fluctuation at the locking point is δε=[R2+|Γ(ω0)|2+2R|Γ(ω0)|]·K1+R2·δP.

    The PSD of the error signal noise SδεP(f) caused by laser intensity noise can be written as SδεP=[R2+|Γ(ω0)|2+2R|Γ(ω0)|]·(K1+R2)2·SδP(f),where SδP(f) is the PSD of laser intensity noise. We typically replace laser intensity noise with relative intensity noise (RIN), i.e., RIN=SδP(f)/P02; then Eq. (C2) is rewritten as SδεP=[R2+|Γ(ω0)|2+2R|Γ(ω0)|]2·(KP01+R2)2·RIN.

    APPENDIX D: CONVERSION TO LASER FREQUENCY NOISE

    The above two types of noise will contribute to the PSD of the error signal, SδεΔϕpath(f) (unit: V2/Hz), at the locking point, which can be related to the PSD of laser frequency noise, Sv(f) (unit:Hz2/Hz), through frequency discrimination accuracy. As shown in Fig. 4(b), we define the normalized frequency discrimination accuracy KD. The actual frequency discrimination accuracy must consider the conversion efficiency of the photodetector, KD=KP0KD; thus they generate additional PSD of laser frequency noise: Sν(f)=SδεΔφpath(f)+SδP(f)(KP0KD)2=[2R|Γ(ω0)|(1+R2)KD]2·SδΔφpath(f)+[R2+|Γ(ω0)|2+2R|Γ(ω0)|KD(1+R2)]·RIN.

    The first and second terms on the right side of the equation represent the additional PSD of laser frequency noise caused by fiber phase fluctuation and laser intensity fluctuation, respectively.

    APPENDIX E: NUMERICAL ESTIMATES

    The photodetector used in our experiment (Newport, 1811) can convert the normalized light intensity in Fig. 4(b) into a 3.5 V voltage output, i.e., KP0=K(1+R2)PB=3.5  V; thus the actual frequency discrimination accuracy KD=KP0KD=4.3×106  V·Hz1. The other parameter values are listed in Table 2. To closely match the experimentally obtained Fano lineshape, we take R=2 and Γ(ω0)=0.5 for numerical calculation of various noise sources shown in Fig. 7.

    APPENDIX F: THERMAL NOISE OF MgF2 CRYSTALLINE CAVITY

    The PSD of frequency noise caused by thermal expansion of the MgF2 crystalline cavity is Sν(f)=ν02κBαl2T2ρCVc2r2/π2D1+(2fr2/Dπ)2.

    The PSD of frequency noise caused by thermo-optic coefficient fluctuation is [32,33] Sν(f)=ν02kBαn2T2ρCVmr212D[1+(2πr2|f|93D)32+16(πr2f4Dm1/3)2]1.

    Here, ν0 is the laser frequency, r is the radius of the cavity, αL and αn are the coefficients of linear thermal expansion and thermo-optic coefficient, respectively, D, C, and ρ are the temperature diffusion coefficient, specific heat capacity, and material density, respectively, Vr and Vm are the volume of the crystal cavity and the WGM mode volume, respectively, and m represents the azimuthal quantum number of the WGM.

    List of Parameter Values Used in the Numerical Simulation

    ParameterValueUnit
    r0.25cm
    ρ3.18g·cm3
    D0.072cm2·s1
    C0.92J·g1·K1
    αL9×106K1
    αn1.2×106K1
    m13,9851
    T300K
    ν01.94×1014Hz

    From Eqs. (F1) and (F2), we find that the mode field area of the WGM plays an important role in thermal noise. We calculate the mode field area of the WGM according to Aeff=πrarb, where ra and rb are the 1/e2 radii of the WGM in the radial and azimuthal directions, respectively. Figure 8 shows the mode field distribution of WGMs with different quantum numbers, as well as the normalized light intensity along the radial and azimuthal directions. The horizontal dashed lines represent the 1/e2 reference lines. For the thermal noise evaluation in Figs. 5 and 6, the parameters used in our simulation are shown in Table 2. It is worth noting that the mode volume Vm=2πrAeff used for numerical estimation is based on the fundamental WGM in Fig. 3(c). However, the modes used for laser locking in the experiment are not limited to this mode. Considering the excitation conditions in the experiment, mainly a few lowest-order WGMs are used, and their mode volumes are of the same order of magnitude as the fundamental mode.

    Field distributions for WGMs of the crystalline cavity. The red and blue curves represent the light intensity distribution along the radial and azimuthal directions, respectively, and the horizontal dashed lines represent the 1/e2 reference lines. (a)–(f) correspond to the quantum numbers (p,l)=(1,1), (1, 2), (2, 1), (3, 1), (4, 1), (5, 1) of the WGMs; p and l indicate the radial and azimuthal quantum numbers, respectively. All modes have an azimuthal quantum number of m=13,985.

    Figure 8.Field distributions for WGMs of the crystalline cavity. The red and blue curves represent the light intensity distribution along the radial and azimuthal directions, respectively, and the horizontal dashed lines represent the 1/e2 reference lines. (a)–(f) correspond to the quantum numbers (p,l)=(1,1), (1, 2), (2, 1), (3, 1), (4, 1), (5, 1) of the WGMs; p and l indicate the radial and azimuthal quantum numbers, respectively. All modes have an azimuthal quantum number of m=13,985.

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    Yingjie Lu, Haotian Wang, Jun Guo, Yaohui Xu, Yuanchen Hu, Wujun Li, Jianing Zhang, Jie Ma, Deyuan Shen, "Modulation-free laser frequency locking using Fano resonance in a crystalline whispering-gallery-mode cavity," Photonics Res. 13, 417 (2025)

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Jul. 4, 2024

    Accepted: Nov. 19, 2024

    Published Online: Feb. 10, 2025

    The Author Email: Haotian Wang (wanghaotian@jsnu.edu.cn)

    DOI:10.1364/PRJ.534627

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