Generalized transfer function: A simple model applied to active single-mode microring resonators

Boucher, Yann; Féron, Patrice

doi:10.1016/j.optcom.2009.06.048

Cited by 20 publications

(8 citation statements)

References 23 publications

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“…In conventional numerical procedures, [20][21][22] the solution of the rate and power propagation equations is performed by optimizing, one by one, each design parameter. However, the nonlinearity of the equations makes algorithms based on these approaches computationally expensive.…”

Section: Introductionmentioning

confidence: 99%

Design of fiber coupled Er3+:chalcogenide microsphere amplifier via particle swarm optimization algorithm

et al. 2013

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Abstract. A mid-IR amplifier consisting of a tapered chalcogenide fiber coupled to an Er 3þ -doped chalcogenide microsphere has been optimized via a particle swarm optimization (PSO) approach. More precisely, a dedicated three-dimensional numerical model, based on the coupled mode theory and solving the rate equations, has been integrated with the PSO procedure. The rate equations have included the main transitions among the erbium energy levels, the amplified spontaneous emission, and the most important secondary transitions pertaining to the ion-ion interactions. The PSO has allowed the optimal choice of the microsphere and fiber radius, taper angle, and fiber-microsphere gap in order to maximize the amplifier gain. The taper angle and the fiber-microsphere gap have been optimized to efficiently inject into the microsphere both the pump and the signal beams and to improve their spatial overlapping with the rare-earth-doped region. The employment of the PSO approach shows different attractive features, especially when many parameters have to be optimized. The numerical results demonstrate the effectiveness of the proposed approach for the design of amplifying systems. The PSO-based optimization approach has allowed the design of a microsphere-based amplifying system more efficient than a similar device designed by using a deterministic optimization method. In fact, the amplifier designed via the PSO exhibits a simulated gain G ¼ 33.7 dB, which is higher than the gain G ¼ 6.9 dB of the amplifier designed via the deterministic method.

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Section: Introductionmentioning

confidence: 99%

Design of fiber coupled Er3+:chalcogenide microsphere amplifier via particle swarm optimization algorithm

et al. 2013

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“…By considering the optical fiber as a part of the sensing mechanism a number of other devices have been proposed. As further examples, passive and active microspheres coupled to taper fibers were proposed for biosensing applications [118][119][120][121][122][123][124][125][126][127][128][129][130]. To conclude, the variety of e proposed optical fiber sensors as well as their potential is extremely impressive.…”

Section: Evanescent Field Hollow Core Liquid Filled and Exposed Optmentioning

confidence: 99%

Advances on Optical Fiber Sensors

Mescia

Prudenzano

2013

Fibers

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In this review paper some recent advances on optical fiber sensors are reported. In particular, fiber Bragg grating (FBG), long period gratings (LPGs), evanescent field and hollow core optical fiber sensors are mentioned. Examples of recent optical fiber sensors for the measurement of strain, temperature, displacement, air flow, pressure, liquid-level, magnetic field, and the determination of methadone, hydrocarbons, ethanol, and sucrose are briefly described.

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“…[15][16][17][18] As a result, it is possible to obtain mid-IR, low-threshold lasers with suitably designed rare-earth-doped chalcogenide microspheres. [19][20][21][22][23][24][25][26][27][28][29][30] WGMs in such spheres are coupled by tapered silica fibers using evanescent electromagnetic fields from waveguides placed nearby. To achieve this on planar geometry and in a suitably packaged format, we produced microsphere prototypes of chalcogenide glass composed of gallium, germanium, antimony, and sulfur (Ga 5 Ge 20 Sb 10 S 65 ) and doped the spheres with erbium (Er).…”

mentioning

confidence: 99%

“…21 We chose PSO because solving equations relating to rate of ion transitions and power propagation using conventional numerical procedures requires the optimization of each design parameter, one by one. [22][23][24] For our rare-earth-doped model it was difficult to perform such optimization because the up-conversion and cross-relaxation phenomena (the energy transfer between dopant ions) induce nonlinearities. Furthermore, deterministic algorithms can exhibit stagnation problems in local maxima/minima during the optimization search for the objective functions (in this case, gain or output power).…”

mentioning

confidence: 99%