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4 results for “whispering gallery mode”
Stretching the limits of refractometric sensing in water by Whispering-gallery-modes resonators
<p>Data suppoting the information and figures presented in the paper "Stretching the limits of refractometric sensing in water by Whispering-gallery-modes resonators"</p>
Graph data for COMSOL simulations of the main properties of the whispering gallery mode resonators for bio-sensing applications
<p>COMSOL simulations data for Whispering gallery mode resonators. Graph data for publication COMSOL simulations of the main properties of the whispering gallery mode resonators for bio-sensing applications. Contain prism coupling with coupling conditions and tapered fiber width (Fig. 2), various "items" attaching to the surface (Fig. 3), and surface roughness with and without coating (Fig. 4).</p>
High-Sensitivity Whispering Gallery Mode Humidity Sensor Based on Glycerol Microdroplet Volumetric Expansion
<p>We demonstrate a highly sensitive whispering gallery mode (WGM) relative humidity (RH) sensor based on a glycerol microdroplet. WGMs were excited using a 760 nm tunable semiconductor laser. We used free space coupling, which is effective when using a liquid resonator. A detailed analysis of different parameters influencing the sensor’s characteristics (sensitivity, hysteresis, resolution, stability, and temperature) is presented. The sensitivity of the sensor is one of the highest reported (2.85 nm/% RH in the range 50–70% RH with the resolution 1 × 10<sup>−4</sup>% RH). This type of humidity sensor has several advantages, such as high sensitivity, extended lifetime, good repeatability, and low cost, as well as the use of a non-toxic and environmentally friendly liquid.</p> <p>Added files contain the data from Figures 3, 5, 6, 8 of the article.</p>
Data for: Distance calibration via Newton's rings in yttrium lithium fluoride whispering gallery mode resonators
<p>Dataset of Newton's rings images captured through the short face of a trapezoidal prism with a whispering gallery mode resonator positioned behind the prism. Each file corresponds to an applied piezo voltage over a voltage sweep decreasing in voltage steps of 0.1V (file names multiplied by 10). Both image data and oscilloscope data are included. Runs 18-27 & 42-53 use a green (530+-2 nm) filter and Runs 28-41 use a red (670+-2 nm) filter.</p> <p>crop-images.ipynb is used to process the raw images located in FullDataset.zip into grayscale jpg images, these processed images are then fed into Ringanalyzer-simplified.ipynb that calls from RingAnalyzer.py to convert the 2-D images to a signal-radius plot based on fits of an elliptical pattern, finding ellipticity, centroid, and rotation angle.</p> <p>process_run_logfit.m ultilizes the 1-D signal plot used to convert the piezo voltages to coupler distances, then a Lorentz fit is applied to the data from the oscilloscope - using lorentzfit.m to perform the fit. The final result is a log plot of the coupling linewidth as a function of distance. </p> <p>The data for resultant plots can be found in ProcessedDataset.zip and can be plotted by plot_processed_run.m.</p> <p>Figure 3.zip contains just the data subset used to generate Figure 3, with fig3.m to generate the figure.</p>
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