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Theoretical modelling of single-mode lasing in microcavity lasers via optical interference injection

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Abstract

The effective manipulation of mode oscillation and competition is of fundamental importance for controlling light emission in semiconductor lasers. Here we develop a rate equation model which considers the spatially modulated gain and spontaneous emission, which are inherently governed by the ripple of the vacuum electromagnetic field in a Fabry-Pérot (FP) microcavity. By manipulating the interplay between the spatial oscillation of the vacuum field and external optical injection via dual-beam laser interference, single longitudinal mode operation is observed in a FP-type microcavity with a side mode suppression ratio exceeding 40 dB. An exploration of this extended rate equation model bridges the gap between the classical model of multimode competition in semiconductor lasers and a quantum-optics understanding of radiative processes in microcavities.

Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

1. Introduction

In the rapidly developing field of photonic integrated circuits and photonic signal processing, there is a general demand for small-size and high-efficiency light sources to enable dense integration [1,2]. Usually, a smaller laser cavity results in a larger free spectral range (FSR) and therefore a larger mode separation. However, an inhomogeneously broadened gain spectrum [3] can lead to the mode competition and effective mode manipulation can be a demanding task [4,5]. The technical path leading to single mode operation has so far relied on the spatial modulation of the real and imaginary parts of the refractive index. A periodically modulated active region acts as an optical grating to enable wavelength selection via distributed optical feedback. For example, index-coupled distributed feedback (DFB) lasers [6], distributed Bragg reflector lasers [7], and photonic crystal lasers [8] operate on a single longitudinal mode based on a modulation of the real-part of the refractive index, whilst gain/loss modulation is successfully employed in gain-coupled DFB lasers [911], lasers with periodic metal structures [4] and lasers based on a pair of cavities with broken parity-time (PT) symmetry [5].

Very recently, optical interference pumping has emerged as an alternative approach to demonstrate single mode lasing in micro-sphere lasers [12,13]. While the underlying mechanism for single mode operation is in general based on gain/loss modulation, it fundamentally differs from the previous approaches, such as gain-coupled DFB lasers. In the case of gain-coupled DFB lasers, the lasing wavelength is primarily dominated by the optical grating itself, i.e. the spatial variation of the semiconductor structure, whilst the variation of the imaginary part in the refractive index breaks the PT symmetry and hence enables single mode operation [4,5] . In the case of optical interference pumping discussed in this work, the spatial variation of the imaginary part of the refractive index determines both the lasing wavelength and the single mode operation. In addition, carrier injection is uniformly applied in gain-coupled DFB lasers, whilst non-uniform carrier injection due to optical interference injection results in longitudinal carrier diffusion, which affects the carrier dynamics and hence increases the gain compression level. Even a small level of gain compression has a dramatic effect on the high-speed performance of lasers [14]. Therefore, a new theoretical model is needed to account for the different mechanisms described above and with which to optimise the performance of single mode lasers based on optical interference pumping.

In this work, we have developed a rate equation model to describe an FP-type microcavity laser under optical interference pumping. The conventional rate equation model is extended to further consider the interplay between the spatial variation of the vacuum electromagnetic field and the spatially modulated material gain due to optical interference pumping. Carrier diffusion amongst the pumped and unpumped regions are also included in the numerical simulation. By taking into account three longitudinal modes and varying the geometric scheme of optical interference, one of the three modes is selected to lase with a side mode suppression ratio (SMSR) exceeding 40 dB. Considering the laser dynamics, the model shows that optical interference pumping brings advantages in terms of achieving high-speed modulation in comparison with uniformly pumped lasers.

2. Theoretical analysis and modelling

2.1 Dual-beam laser interference

A one-dimensional theoretical model is developed to describe an FP-type microcavity laser with optical interference pumping. Figure 1(a) shows the device scheme where two coherent laser beams with mirrored incident angles are applied from both sides of the FP cavity. The periodicity of the interference pattern is controlled by both the wavelength and the incident angle of the laser beams. A general form of two-beam laser interference can be considered as the superposition of electric field vectors of the beams. The intensity distribution S of a two-beam interference field can be written as:

$$S = 2{A^2} - 2{A^2}\cos ({2kz\sin \theta } ),$$
where k is the wave number of the interference beam, A is the amplitude of the beam, $\theta $ is the incident angle, and z represents the longitudinal position [15].

 figure: Fig. 1.

Fig. 1. Schematic images for optical interference pumping and the mode selection in an FP cavity. a. Dual-beam laser interference acting on the FP cavity. b. The interaction between the vacuum electromagnetic field of standing waves in the FP cavity and the external injection via optical interference injection.

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Using the longitudinal mode relation in the FP cavity, $n{\kern 1pt} L = m{\lambda \mathord{\left/ {\vphantom {\lambda 2}} \right.} 2}$, we describe the wave node of different modes, where n is the effective refractive index, L is the cavity length, and m is the number of wave nodes. Assuming the light intensity at the antinode position is A0, the intensity of the standing wave can be expressed as:

$$I = 2{A_0}|{\textrm{sin}({n{k_0}z} )} |,$$
where k0 is the propagation constant corresponding to the longitudinal mode of wavelength λ. Combining formula (1) and (2), the overlap between the interference pattern and the vacuum field of standing wave can be manipulated by altering the incident angles and the wavelength of interference beams.

2.2 Travelling-wave rate equation

A travelling wave rate equation is employed to analyse the lasing properties of the spatially pumped FP cavity. The electric field in the FP cavity can be expressed as

$$E({t,z} )= ({F({t,z} ){e^{ - i{k_0}z}} + R({t,z} ){e^{i{k_0}z}}} ){e^{i\omega t}},$$
where $\omega $ is the angular frequency, F(t,z) and R(t,z) represent the forward and backward optical fields in the FP cavity, respectively. The travelling-wave equation is derived from the time-dependent coupled wave equations by neglecting the coupling between the forward and backward optical fields. The fields F and R are periodically modulated using interference pumping [1620],
$$\frac{1}{{{v_g}}}\frac{{\partial F({t,z} )}}{{\partial t}} + \frac{{\partial F({t,z} )}}{{\partial z}} = ({\Gamma g({t,z} )P(z ){F_p} - \alpha } )F({t,z} )+ \frac{{{F_{sp}}({t,z} )}}{L},$$
$$\frac{1}{{{v_g}}}\frac{{\partial R({t,z} )}}{{\partial t}} - \frac{{\partial R({t,z} )}}{{\partial z}} = ({\Gamma g({t,z} )P(z ){F_P} - \alpha } )R({t,z} )+ \frac{{{R_{sp}}({t,z} )}}{L},$$
where vg is the group velocity, Γ is the confinement coefficient factor, g is the optical gain, P is the spatial factor governed by the vacuum field of standing wave, FP is the Purcell factor, α is the internal loss, Fsp and Rsp represent the forward and reverse field of the spontaneous emission coupled into the lasing mode, and L is the length of active region. By applying the rotation wave approximation, the spatial factor of gain modulation is simplified to that of the following expression:
$$P(z )= 2|{\sin ({nkz} )} |.$$

Because the periodicity of the optical interference is at the same scale as the lasing wavelength, the variation in the Purcell factor due to the spatial oscillation of the vacuum field in the FP-type microcavity should not be neglected. According to the theoretical description of the Einstein coefficients and the experiment confirmation [2124], we take the spatially-varied Purcell enhancement into account in both the spontaneous emission and stimulated emission [25,26]. The vacuum zero-point energy, which exists ubiquitously due to the quantization of electromagnetic fields in the resonant cavity, has the same distribution as the field of standing wave in the longitudinal direction of the cavity. Governed by Fermi's golden rule, the transition rate is proportional to the density of final states which are the vacuum states [27,28], resulting in spatially modulated spontaneous and stimulated emission. Single-mode operation, depending on the spatial overlap between the distribution of the vacuum field and optical interference pumping, can be analysed using the above rate equations. The general mechanism for single mode operation is sketched in Fig. 1(b). The Purcell factor in the discussion is defined as:

$${F_P}(\lambda )= \frac{{3Q}}{{4{\pi ^2}V}}{\left( {\frac{\lambda }{n}} \right)^3},$$
where Q is the quality factor and V is the cavity mode volume [29]. A parabolic approximation of the optical gain is used [30]
$$g({t,z,\lambda } )= \frac{{{g_N}({N({t,z} )- {N_0}} )- {{\left( {\frac{{{\lambda_0} - \lambda }}{{{G_0}}}} \right)}^2}}}{{2({1 + \varepsilon {N_P}({t,z} )} )}},$$
where gN is the differential gain, N0 is the transparent carrier density, G0 is the parabolic gain fitting factor, and ɛ is the gain compression factor [31] resulted from spectral hole burning and carrier heating at high photon density. Photon density NP is calculated by
$${N_P} = \; \frac{{{\varepsilon _\textrm{0}}{{|E |}^2}}}{{h\nu }},$$
where ɛ0 is the vacuum dielectric constant, ɛ0|E|2 is the total energy of the optical field at the given frequency, ν. Considering the relationship between optical field and photon density, the forward and reverse field of the spontaneous emission coupled into the lasing mode holds as
$${F_{sp}}({{R_{sp}}} )= \sqrt {\Gamma {F_p}\beta \frac{N}{{{\tau _{sp}}}} \cdot \frac{L}{{{v_g}}} \cdot \frac{{h\nu }}{{{\varepsilon _\textrm{0}}}}} ,$$
where β is the spontaneous emission factor, N is the carrier density, τsp is the spontaneous emission lifetime. The boundary conditions are given by:
$$F({0,t} )= {r_1}R({0,t} ),\qquad R({L,t} )= {r_2}F({L,t} ),$$
where r1 and r2 are the mirror reflectivity of the FP resonator’s left and right facets where r1 = r2. Reducing the mirror loss increases the Q factor of the microcavity, which further increases the Purcell factor and enhances single mode oscillation via optical interference pumping.

2.3 Carrier rate equation

By taking into account the optical interference pumping and the Purcell enhancement of the spontaneous and stimulated emission, the time-dependent rate equation for the carrier densities in the active region are described by [32]

$$\begin{array}{l} \frac{{\partial N({t,z} )}}{{\partial t}} = \frac{{{\eta _i}{\kern 1pt} {L_{in}}{\kern 1pt} {\kern 1pt} S{\; }}}{{h{\kern 1pt} \nu V}} - {F_p}\beta \frac{{N({t,z} )}}{{{\tau _{sp}}}} - ({1 - \beta } )\frac{{N({t,z} )}}{{{\tau _{sp}}}} - \frac{{N({t,z} )}}{{{\tau _{n{\kern 1pt} r}}}}\\ {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} - {v_g}2g({t,z,\lambda } )P(z ){F_P}{N_P}({t,z} )+ D{\nabla ^2}N({t,z} ), \end{array}$$
where ηi is the internal efficiency, Lin is the injected light power, hv is the photon energy, V is the volume of active region, τnr is the non-radiative lifetime, and D is carrier diffusion coefficient [33,34]. The value of S is 1 while using the uniform optical pumping, and S is governed by formula (1) with optical interference pumping.

2.4 Multi-mode rate equations

The longitudinal mode competition is governed by the following multimode rate equations [35,36]

$$\left\{ \begin{array}{l} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} \frac{{\partial N({t,z} )}}{{\partial t}} = \frac{{{\eta_i}{\kern 1pt} {L_{in}}{\kern 1pt} S{\; }}}{{h\nu V}} - {F_P}\beta \frac{{N({t,z} )}}{{{\tau_{sp}}}} - ({1 - \beta } )\frac{{N({t,z} )}}{{{\tau_{sp}}}} - \frac{{N({t,z} )}}{{{\tau_{nr}}}}\\ {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} - {v_g}\sum\limits_i {{{({2g({t,z,\lambda } )P(z ){F_P}} )}_i}} {N_{Pi}}({t,z} )+ D{\nabla^2}N({t,z} ){\kern 1pt} {\kern 1pt} \\ \left\{ \begin{array}{l} \frac{1}{{{v_g}}}\frac{{\partial {F_i}({t,z} )}}{{\partial t}} + \frac{{\partial {F_i}({t,z} )}}{{\partial z}} = {({\Gamma g({t,z,\lambda } )P(z ){F_P} - \alpha } )_i}{F_i}({t,z} )+ \frac{{{F_{spi}}({t,z} )}}{L}\\ \frac{1}{{{v_g}}}\frac{{\partial {R_i}({t,z} )}}{{\partial t}} - \frac{{\partial {R_i}({t,z} )}}{{\partial z}} = {({\Gamma g({t,z,\lambda } )P(z ){F_P} - \alpha } )_i}{R_i}({t,z} )+ \frac{{{R_{spi}}({t,z} )}}{L}\\ {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {\kern 1pt} {N_{Pi}} \propto {|{{F_i} + {R_i}} |^2} \end{array} \right. \end{array} \right.$$
here, i represents the different longitudinal modes. To keep it simple, only three main modes near to the central wavelength of the gain spectrum are simulated.

3. Simulation results and discussion

Table 1 shows the parameters used in the simulation. The length of the FP microresonator is 20 µm which is divided into 1200 sections in the simulation. We have assumed that a quantum well active region is used in the simulation. We consider three lasing modes, including λ1 = 1.243 µm with a longitudinal node number of m = 104, λ2 = 1.255 µm with m = 103 and λ3 = 1.267 µm with m = 102. The FSR between the three modes is nearly 12 nm. In the proposed experimental system, a continuous wave laser source with λ = 976 nm is selected for interference. The incident angle is set to 51$^\circ $ and the required angular resolution is therefore around 1$^\circ $. The spatial distribution of the vacuum field and hence the optical gain are inherently governed by the standing waves in FP cavity with varied mode wavelengths. The mode selection can be realized by manipulating the pattern of optical injection via interference pumping. When the interference pumping along the longitudinal direction of the cavity is governed by a sinusoidal function with 103 interference nodes, which matches well with the field distribution of the central mode, the photon density and the carrier density will show the same distribution, both having 103 nodes, as shown in Figs. 2(a) and 2(b). This spatial pumping results in the modulation in the imaginary index as shown in Fig. 2(c). Figure 2(d) is the spatial modulated Purcell factor of the central mode at 1.255 µm, which is corresponding to the spatial oscillation of the vacuum field in the FP-type microcavity. Figures 2(e) and 2(f) show the spatial distributions of the carrier and photon densities for spatially modulated spontaneous emission under 0.5 mW illumination.

 figure: Fig. 2.

Fig. 2. The distribution of parameters along the longitudinal direction. Above threshold: a. Photon density distribution (the inset shows the local distribution of photon density) and b. Carrier density distribution under dual-beam interference with 103 interference nodes. c. Spatial distribution of gain under dual-beam interference with 103 interference nodes. Purcell factor: d. Spatial modulated Purcell factor of the central mode at 1.255 µm. Under threshold: e. Carrier density distribution and f. Photon density distribution of spatially modulated spontaneous emission under dual-beam interference with 103 interference nodes.

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Tables Icon

Table 1. Simulation parameters used in the model

Owning to the interference pumping, the spatial distribution of the optical gain overlaps differently with the vacuum field of different modes, enabling effective mode selection. With uniform optical pumping, Fig. 3(a) shows the typical emission spectra versus pumping power. The calculated threshold is about 0.7 mW. Figure 3(b) shows the spectra which has three lasing modes under 3 mW pump. The value of the SMSR at the central mode is 16.88 dB to the λ1 = 1.243 µm mode and 1.41 dB to the λ3 = 1.267 µm mode. Effectively at high pump power this becomes a dual mode laser.

 figure: Fig. 3.

Fig. 3. The lasing performance of a uniformly pumped cavity. a. Characteristic light-light graph of the three lasing modes. b. Lasing mode spectra under uniform optical pumping.

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When the interference pumping effectively overlaps with the field distribution of the central mode (CEN lines in Fig. 4), single-mode lasing is realized with a SMSR = 43.39 dB to the left mode and 40.55 dB to the right mode. Comparing with the 1.41 dB difference between modes at λ1 and λ2 under uniform pumping, the central mode is very effectively selected by optical interference pumping. The modified distribution of the photon density in the interference pumping case is a consequence of spatially enhanced stimulated and spontaneous emission.

 figure: Fig. 4.

Fig. 4. The output power of three longitudinal modes using different number of interference nodes. The interference nodes of spatial pumping are 103 (CEN, red lines), 104 (NEG, blue lines), and 102(POS, green lines), respectively.

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Following the m = 103 interference pumping, we further change the number of nodes in the interference pattern to effectively overlap with the field of different modes in the longitudinal direction of the cavity. As shown in POS lines in Fig. 4, the output powers of the three modes have been altered under the m = 102 spatial pumping. The SMSR at the main lasing mode λ3 = 1.267 µm is 42.53 dB to λ1 and 37.42 dB to λ2. The situation can be a little different under m = 104 interference pumping since the mode λ1 is the weakest mode in these three lasing modes. The SMSR at λ1 is 27.60 dB to λ2 and 32.20 dB to λ3, respectively (NEG lines in Fig. 4).

A carrier diffusion coefficient of 2 cm2s-1 is used in the simulation, which is a typical value taken from the literature for InGaAsP microcavity lasers [34]. In the optical interference injection system, the carrier diffusion coefficient has a non-negligible impact on mode selection. To investigate the influence, we observe that the SMSR at the central mode λ2 = 1.255 µm reduces to 35 dB to λ1 and 28 dB to λ3 when the carrier diffusion coefficient increases to 10 cm2s-1. This degradation is attributed to reduced contrast in the spatial distribution of carriers due to the interference injection.

Comparing the characteristic light-light curves of laser cavities with uniform (Fig. 3(a)) and interference pumping (Fig. 5(a)), a clear transition from multimodal to single mode lasing is observed. A detailed comparison of the output intensity in the desired mode (λ2) (Fig. 5(b)) and non-desired modes (λ1 and λ3) show the superior mode selection when the longitudinal profile of the pump light is effectively overlapped with the desired lasing mode. The normalized intensity of the desired mode reaches almost unity when the spatial interference pumping is above threshold. The spatially pumped cavity displays a significant growth in the value of SMSR beyond the threshold power, as shown in Fig. 5(c). The value of SMSR increases with higher input power, indicating that the SMSR can be precisely controlled by changing the input. A smaller size cavity expands the FSR, revealing a higher SMSR (Fig. 5(d)). Applying spatial gain modulation to realise single mode lasing is suitable for microcavities with different sizes.

 figure: Fig. 5.

Fig. 5. Mode selection. a. Multi-mode light-light curve of the laser with interference pumping. The threshold power is nearly 0.7 mW. b. Detailed comparison of output intensity in the desired mode (λ2) and the intensity in non-desired modes (λ1 and λ3), where Uni-λ1, Uni-λ2, and Uni-λ3 denote the normalized intensity of the output under uniform pumping at the wavelength of λ1, λ2 and λ3 respectively, and Spat-λ1, Spat-λ2, and Spat-λ3 denote the normalized intensity of the output under spatial pumping at the wavelength of λ1, λ2 and λ3, respectively. c. The change of the value of SMSR from the desired mode to the non-desired modes versus input power, under uniform and spatial pumping respectively. d. Mode selection performance of microcavities with different sizes. Single mode lasing can be achieved in different-size cavities via gain modulation.

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Both SMSR and laser performance, such as threshold pump power are related to the size of the microcavity. A smaller laser cavity expands the FSR and results in a larger mode separation, therefore a higher SMSR can be obtained. In the simulation, we have kept the same pumping density for uniformly and nonuniformly pumped microcavities. This proves that the SMSR is improved under nonuniform injection compared to a cavity with uniform injection.

Figure 6 shows the time evolution of the carrier density (Fig. 6(a)) and photon density of the central mode (Fig. 6(b)) in uniformly and spatially pumped cavities, respectively. The turn-on delay is an important parameter for semiconductor lasers and extensive studies have indicated that the delay time is principally determined by the carrier dynamics [37,38]. The simulation results indicate that there is a shorter turn-on delay for the spatially pumped cavity, in which the interference injection interacts with the vacuum field distribution. This affects the carrier dynamics and hence increases the non-radiative electron scattering rates. However, the decrease of the turn-on delay time in our system is relatively small. This is due to the slight differences in the threshold carrier density under uniform and spatial optical pumping, which directly affect the carrier recombination rate. Moreover, the damping rate of the turn-on process is modified by changes to the spontaneous emission process caused by spatial pumping.

 figure: Fig. 6.

Fig. 6. Turn-on delay of uniformly and spatially pumped cavities with different pumping power. a. Turn-on delay dynamics of carriers. b. Turn-on delay dynamics of photon density of the central mode.

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We have calculated the small signal response [3941] of both the uniformly and spatially pumped microcavity lasers based on the extended rate equation model. The results are shown in Fig. 7. Clear relaxation resonances are observed for injected light powers ranging from 3 mW to 48 mW. The corresponding 3 dB bandwidth varies from 4.7 to 15.1 GHz for the uniformly pumped cavity (Fig. 7(a) solid lines) and 6.2 to 21.3 GHz for the spatially pumped cavity (Fig. 7(a) dotted lines), respectively. Focusing on the change of modulation response amplitude, the damping factor is decreased in the spatially pumped case. We plot the 3 dB linewidth versus the square root of light power minus threshold light power (Fig. 7(b)). The proportional constant is 2.23 GHz mW-0.5 for the uniformly pumped cavity, but the modulation efficiency increased to 3.70 GHz mW-0.5 for the spatially pumped cavity. The higher-speed performance is achieved due to an immediate interaction between non-uniform carrier injection with optical interference pumping and the vacuum field of the standing wave.

 figure: Fig. 7.

Fig. 7. Small signal responses of the microcavity lasers. a. Small signal responses of the uniformly and spatially pumped cavities under varying light injection. b. 3 dB linewidth as a function of the light power (L-Lth)1/2, the modulation efficiency of spatial pumping is increased comparing to the uniform pumping.

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4. Conclusions

In conclusion, we have proposed an extended rate equation model which considers the interplay between the vacuum electromagnetic field of standing waves and external optical injection via laser interference. Simulation results show that the lasing mode can be effectively selected (with a SMSR over 40 dB) when the longitudinal profile of the pumping light effectively overlaps that of the field distribution of the desired lasing mode. This mode selection mechanism shows that the value of SMSRs can be precisely controlled by altering the input and that the model can be applied to micro-resonators with different sizes and shapes, such as FP and whispering-gallery-mode resonators [42]. Moreover, a shorter turn-on delay and higher-speed modulation can be possible using optical interference pumping compared to uniformly pumped lasers. This model has been used to explore the performance of micro- and nano-resonators through a combination of a classical model of multimode competition in semiconductor lasers and a quantum-optics understanding of radiative processes in microcavities.

Funding

National Natural Science Foundation of China (61574138, 61905217, 61974131); Engineering and Physical Sciences Research Council (EP/P020399); Natural Science Foundation of Zhejiang Province (LQ19F040010).

Disclosures

The authors declare no conflicts of interest.

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Figures (7)

Fig. 1.
Fig. 1. Schematic images for optical interference pumping and the mode selection in an FP cavity. a. Dual-beam laser interference acting on the FP cavity. b. The interaction between the vacuum electromagnetic field of standing waves in the FP cavity and the external injection via optical interference injection.
Fig. 2.
Fig. 2. The distribution of parameters along the longitudinal direction. Above threshold: a. Photon density distribution (the inset shows the local distribution of photon density) and b. Carrier density distribution under dual-beam interference with 103 interference nodes. c. Spatial distribution of gain under dual-beam interference with 103 interference nodes. Purcell factor: d. Spatial modulated Purcell factor of the central mode at 1.255 µm. Under threshold: e. Carrier density distribution and f. Photon density distribution of spatially modulated spontaneous emission under dual-beam interference with 103 interference nodes.
Fig. 3.
Fig. 3. The lasing performance of a uniformly pumped cavity. a. Characteristic light-light graph of the three lasing modes. b. Lasing mode spectra under uniform optical pumping.
Fig. 4.
Fig. 4. The output power of three longitudinal modes using different number of interference nodes. The interference nodes of spatial pumping are 103 (CEN, red lines), 104 (NEG, blue lines), and 102(POS, green lines), respectively.
Fig. 5.
Fig. 5. Mode selection. a. Multi-mode light-light curve of the laser with interference pumping. The threshold power is nearly 0.7 mW. b. Detailed comparison of output intensity in the desired mode (λ2) and the intensity in non-desired modes (λ1 and λ3), where Uni-λ1, Uni-λ2, and Uni-λ3 denote the normalized intensity of the output under uniform pumping at the wavelength of λ1, λ2 and λ3 respectively, and Spat-λ1, Spat-λ2, and Spat-λ3 denote the normalized intensity of the output under spatial pumping at the wavelength of λ1, λ2 and λ3, respectively. c. The change of the value of SMSR from the desired mode to the non-desired modes versus input power, under uniform and spatial pumping respectively. d. Mode selection performance of microcavities with different sizes. Single mode lasing can be achieved in different-size cavities via gain modulation.
Fig. 6.
Fig. 6. Turn-on delay of uniformly and spatially pumped cavities with different pumping power. a. Turn-on delay dynamics of carriers. b. Turn-on delay dynamics of photon density of the central mode.
Fig. 7.
Fig. 7. Small signal responses of the microcavity lasers. a. Small signal responses of the uniformly and spatially pumped cavities under varying light injection. b. 3 dB linewidth as a function of the light power (L-Lth)1/2, the modulation efficiency of spatial pumping is increased comparing to the uniform pumping.

Tables (1)

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Table 1. Simulation parameters used in the model

Equations (13)

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S = 2 A 2 2 A 2 cos ( 2 k z sin θ ) ,
I = 2 A 0 | sin ( n k 0 z ) | ,
E ( t , z ) = ( F ( t , z ) e i k 0 z + R ( t , z ) e i k 0 z ) e i ω t ,
1 v g F ( t , z ) t + F ( t , z ) z = ( Γ g ( t , z ) P ( z ) F p α ) F ( t , z ) + F s p ( t , z ) L ,
1 v g R ( t , z ) t R ( t , z ) z = ( Γ g ( t , z ) P ( z ) F P α ) R ( t , z ) + R s p ( t , z ) L ,
P ( z ) = 2 | sin ( n k z ) | .
F P ( λ ) = 3 Q 4 π 2 V ( λ n ) 3 ,
g ( t , z , λ ) = g N ( N ( t , z ) N 0 ) ( λ 0 λ G 0 ) 2 2 ( 1 + ε N P ( t , z ) ) ,
N P = ε 0 | E | 2 h ν ,
F s p ( R s p ) = Γ F p β N τ s p L v g h ν ε 0 ,
F ( 0 , t ) = r 1 R ( 0 , t ) , R ( L , t ) = r 2 F ( L , t ) ,
N ( t , z ) t = η i L i n S h ν V F p β N ( t , z ) τ s p ( 1 β ) N ( t , z ) τ s p N ( t , z ) τ n r v g 2 g ( t , z , λ ) P ( z ) F P N P ( t , z ) + D 2 N ( t , z ) ,
{ N ( t , z ) t = η i L i n S h ν V F P β N ( t , z ) τ s p ( 1 β ) N ( t , z ) τ s p N ( t , z ) τ n r v g i ( 2 g ( t , z , λ ) P ( z ) F P ) i N P i ( t , z ) + D 2 N ( t , z ) { 1 v g F i ( t , z ) t + F i ( t , z ) z = ( Γ g ( t , z , λ ) P ( z ) F P α ) i F i ( t , z ) + F s p i ( t , z ) L 1 v g R i ( t , z ) t R i ( t , z ) z = ( Γ g ( t , z , λ ) P ( z ) F P α ) i R i ( t , z ) + R s p i ( t , z ) L N P i | F i + R i | 2
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