Photonic Bandgap Measurement
Photonic Bandgap Measurement - Related Videos
10:35
Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
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2014
Disordered structures offer new mechanisms for forming photonic bandgaps and unprecedented freedom in functional-defect designs. To circumvent the computational challenges of disordered systems, we construct modular macroscopic samples of the new class of PBG materials and use microwaves to characterize their scale-invariant photonic properties, in an easy and inexpensive manner.
12:19
Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source
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Cited by 2 •
2017
Silicon photonic chips have the potential to realize complex integrated quantum systems. Presented here is a method for preparing and testing a silicon photonic chip for quantum measurements.
08:44
Fabrication and Testing of Photonic Thermometers
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Cited by 1 •
2018
We describe the process of fabrication and testing of photonic thermometers.
07:00
Measuring Diffusion Coefficients via Two-photon Fluorescence Recovery After Photobleaching
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Cited by 4 •
2010
In this article we will describe the procedure for measuring diffusion coefficients using multi-photon fluorescence recovery after photobleaching. We will begin by aligning the laser along the optical path to the sample and determining the proper experimental parameters, then continue generating and finally fitting fluorescence recovery curves.
13:02
Fabrication of 1-D Photonic Crystal Cavity on a Nanofiber Using Femtosecond Laser-induced Ablation
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Cited by 3 •
2017
We present a protocol for fabricating 1-D photonic crystal cavities on subwavelength diameter silica fibers (optical nanofibers) using femtosecond laser-induced ablation.
FAQs
The measured spectral response depends strongly on the structure’s geometry and the refractive-index contrast between its materials. These design factors determine how effectively the photonic structure controls light and where a blocked wavelength or frequency range appears. Comparing measurements with the intended geometry helps engineers assess whether the fabricated device matches its optical design.
Angle and polarization are important measurement variables because the recorded transmission or reflection can change when either condition changes. A bandgap observed under one illumination geometry may not appear identically under another. Recording these parameters therefore gives a more complete description of optical behavior and helps distinguish intrinsic design performance from conditions specific to the measurement.
Fabrication quality can be evaluated by comparing the measured response with the behavior expected from the optical design. Differences in the observed blocked range, transmission, or reflection may indicate that the fabricated geometry does not reproduce the intended structure accurately. This comparison makes photonic bandgap measurement useful for validating both manufacturing results and device performance.
A typical experiment directs broadband or tunable light onto a photonic crystal, grating, or periodic optical material. The system records transmission or reflection while varying wavelength, and when relevant, angle and polarization. Researchers then examine the resulting spectral data to identify pronounced transmission minima and determine the structure’s experimentally observed optical response.
A pronounced transmission minimum indicates a wavelength or frequency range in which propagation through the tested photonic structure is strongly blocked. Researchers use its spectral position and measured extent to evaluate the structure’s light-control behavior. Interpreting the minimum alongside reflection, angle, and polarization data provides a more informative assessment than relying on a single spectral observation.
Engineers use this measurement to validate optical designs and guide devices that require controlled spectral behavior. Relevant applications include optical filters, waveguides, sensors, resonators, and other systems that manipulate light with high precision. The results connect a structure’s measured performance with design choices such as geometry, refractive-index contrast, and fabrication quality.