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25 results for “Microresonator”
Data, codes for the study "Programmable access to microresonator solitons with modulational sideband heating"
<p>This archive contains the data for figure 2/3/4, codes for simulation in figure 1 and colds for soliton addressing program in figure 3, in the paper "Programmable access to microresonator solitons with modulational sideband heating".</p>
Dataset and Simulation Files for article "Alumina coating for dispersion management in ultra-high Q microresonators"
<p>Link to arXiv submission: <a href="https://arxiv.org/abs/2009.07826">https://arxiv.org/abs/2009.07826</a></p> <ul> <li>Figure 1 <ul> <li>Data, Jupyter scripts, and comsol simulations files for parts (d,e)</li> <li>Data, Jupyter scripts, and simulations files for parts (f,g,h)</li> </ul> </li> <li>Figure 2 <ul> <li>Raw AFM data for use in Gwydeon software</li> <li>Data, Jupyter scripts, and comsol simulations files for parts (d,e)</li> </ul> </li> <li>Figure 3 <ul> <li>Raw data and Jupyter processing scripts for transmission spectrum calibration (parts - b)</li> <li>Frequency calibrated transmission spectrum and GVD/ Quality factor Jupyter scripts (parts d-g)</li> </ul> </li> <li>Figure 4 <ul> <li>Experimental data for parts a-g</li> </ul> </li> <li>Supplementary data <ul> <li>Raw ellipsometer data</li> <li>1D COMSOL FEM solver and analytical validation (including Julia Jupyter script)</li> <li>Quality factor estimation based on scattering and water adsorption</li> </ul> </li> </ul>
Data and code for figures: Breathing Dissipative Solitons in Optical Microresonators
<p>This dataset contains the data presented in the Figures of the paper Breathing dissipative solitons in optical microresonators (doi:10.1038/s41467-017-00719-w).</p> <p>The data for figure X is gathered in one matlab dataset file FigureX_Dataset.mat, under a structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields X, Y, Z that each are cell arrays containing the (X,Y,Z) data for all the lines / surfaces presented in the panel.</p> <p>In order to plot the line #1 of panel b of figure 3 you can proceed as follow:</p> <p>load Figure3_Dataset.mat<br> plot(fig3.b.X{1}, fig3.b.Y{1})</p> <p><br> A minimal script FigureX_process.m is provided for each figure in order to plot all the panels. For some insets of Figures 1,2,4, the structure is slightly modified, please refer to the scripts for detail access of the data.</p> <p>The datasets and scripts were generated and tested using Matlab 2017 or 2014.</p>
Data and code for article "Intermode breather solitons in optical microresonators"
<p>This dataset contains the data presented in the figures of the article "Intermode breather solitons in optical microresonators" (doi:).</p> <p>The source data for curved plots in the figures in the article is packaged as a independent OriginLab project file (.opj). The source data for two-dimension colored figures in the article is stored as Matlab data files (.mat), each with a short script running to generate the figure.</p> <p>The layout of the design of the silicon nitride micro-ring resonator is also presented.</p> <p>The source code for simulations presented in the article, namely the coupled mode Lugiato-Lefever equations, is also presented.</p>
Ultrafast optical ranging using microresonator soliton frequency combs: Data deposit
<p>This content of this data deposit is the following:</p> <ul> <li>Archive ‘Microresonator design file’: A GDS-File with the design of the microresonators</li> <li>Archive ‘Figure_data’: Data shown in all figures with MATLAB scripts for exemplary plot generation.</li> <li>Archives ‘Figure2D’, ‘Figure2E’, ‘Figure3B’ and ‘Figure3D’: Raw data and executable files related to figures 2D, 2E, 3B and 3D of the publication</li> </ul> <p><strong>Further information on the archive ‘Microresonator design file’:</strong></p> <p>A free GDS viewer can be downloaded from: https://www.klayout.de.</p> <p>The designed Si<sub>3</sub>N<sub>4</sub> height was 800 nm.</p> <p><strong>Further information on the archives ‘Figure2D’, ‘Figure2E’, ‘Figure3B’ and ‘Figure3D’:</strong></p> <p>Each archive contains two folders, corresponding to two evaluation steps executed to evaluate raw measurement data. In the first step, raw data is processed into distance information. For this purpose, the folder ‘Distance_evaluation’ in each archive contains the raw data recorded in the experiments, as well as an executable file in order to process the raw data into distance data files.</p> <p>In the second step, distance data files are further processed according to the respective measurement, e.g. the computation of the Allan deviation in Fig. 2D. For this purpose, further executable files are available in the other folder in each archive. The required distance files are already copied into these folders, but can also be computed again and copy-pasted into the respective folder. The final output will be txt-files with data such as the data shown in the figures.</p> <p><strong>Instructions on running the executable files:</strong></p> <p>All executable files require Matlab Runtime version R2017a, see in each folder the readme.txt-file for further instructions. In order to process the raw data, do not rename the files and do not change the folder, within which the raw data is located. Otherwise, the executable file may not work. Likewise, do not rename any distance-files that are used for further evaluation as well as the other input files that are required for further evaluations:</p> <ul> <li>Figure3B\Profile_Comparison: ‘xCMM.txt’, ‘yCMM.txt’</li> <li>Figure3D\OCT_Comparison: ‘OCTX.txt’, ‘OCTY.txt’</li> </ul> <p>Note, that some of the executable files make use of parallel computing. Depending on the CPU available and the amount of data to be processed, the evaluation duration can vary between a few minutes and several hours.</p> <p><strong>Information on the raw data files: </strong></p> <p>The raw data of all distance measurements are .h5 files recorded using a high-speed oscilloscope with a sample rate of 80 GSa/s. For each measurement, two recordings are stored, one for the actual distance measurement, and one for the reference measurement (indicated by either ‘MES’ or ‘REF’ at the end of the file name). An h5-viewer (see e.g. https://www.hdfgroup.org/downloads/hdfview/) is recommended in order to look directly into the raw data.</p> <p><strong>Information on the distance data files</strong>:</p> <p>The output of each distance evaluation is another h5-file, containing an <em>n</em> × 6 matrix, with <em>n</em> being the number of distance values.</p> <ul> <li>The first column represents the actual distance value,</li> <li>The second column the time,</li> <li>The third column the quantity <em>ε<sub>N</sub></em> as defined in Eq. (S13) in the Supplementary Materials,</li> <li>The fourth and the fifth column the intensity of the signal received from the oscilloscope for the signal and the reference channel (scales are not the same),</li> <li>And the last column the recorded free spectral range of the measurement comb.</li> </ul> <p>Again, the files are directly accessible by using an h5-viewer.</p>
Data and code for figures in "Thermo-refractive noise in silicon nitride microresonators"
<p>Data and script used to produce the figures in "Thermo-refractive noise in silicon nitride microresonators".</p><p>Readout of some data files requires @MyTrace function from <a href="https://github.com/engelsen/Instrument-control">https://github.com/engelsen/Instrument-control</a>.</p><p>The Matlab live script is tested with Matlab_R2018a. The COMSOL file is tested with COMSOL Multiphysics 5.3a.</p>
Open data source for "Optically reconfigurable quasi-phase-matching in silicon nitride microresonators"
<p>The folder includes includes the raw data as well as codes that were used for generation of all Figures in the paper "Optically reconfigurable quasi-phase-matching in silicon nitride microresonators".</p>
Data and code for figures: Tailoring microcombs with inverse-designed, meta-dispersion microresonators
<p>This dataset contains the data presented in the Figures of the paper Tailoring microcombs with inverse-designed, meta-dispersion microresonators. <em>Nat. Photon.</em> (2023) DOI: 10.1038/s41566-023-01252-7.</p> <p>Generated with MatlabR2022, the figureData.mat files contain the data for each panel and the associated createfigure.m code reads the data and assembles the plots.</p>
Figure data for: Free-electron interaction with nonlinear optical states in microresonators
<p>This dataset contains the figure data and code for the paper "Free-electron interaction with nonlinear optical states in microresonators".</p>
Data for figures in "An ultra-stable microresonator-based electro-optic dual frequency comb"
<p>Data for figures in "An ultra-stable microresonator-based electro-optic dual frequency comb"</p> <p> </p> <p>"Contents.csv" summarises data files.</p>
Data and code for article "Excitonic Emission of Monolayer Semiconductors Near-Field Coupled to High-Q Microresonators"
<p>Data, code and sample fabrication details for article "Excitonic Emission of Monolayer Semiconductors Near-Field Coupled to High-Q Microresonators".</p> <p>The code was tested with Matlab R2015b.</p>
Raw data for 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'
<p>It's the raw data for the paper 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'</p>
Data and code for figures: Dynamics of soliton crystals in optical microresonators
<p>This dataset contains the data presented in the figures of the paper Dynamics of soliton crystals in optical microresonators.</p> <p>The data for figure X (X = 1, 2, 3, 4, S1, S2, S3, S4, S5) is gathered in one matlab dataset file Fig_X.mat, which contains structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields containing the data arrays for all the lines presented in the panel.</p> <p><br> A minimal script znd_FigX_plot.m is provided for each figure in order to plot all the panels.</p> <p>The datasets and scripts were generated and tested using Matlab 2018b.</p>
Data and code for figures: Heteronuclear soliton molecules in optical microresonators
<p>This dataset contains the figures and data presented in the paper <Heteronuclear soliton molecules in optical microresonators>.</p>
Dynamics of soliton self-injection locking in optical microresonators
<pre>The code and data used to produce the plots within the paper entitled "Dynamics of soliton self-injection locking in optical microresonators." </pre>
Data and code for figures in "Octave-spanning dissipative Kerr soliton frequency combs in Si3N4 microresonators"
<p>Data and code used to produce the figures in "Octave-spanning dissipative Kerr soliton frequency combs in <em>S</em><em>i</em>3<em>N</em>4 microresonators".</p>
Data for figures: Microresonator Dissipative Kerr Solitons Synchronized to an Optoelectronic Oscillator
<p>This dataset contains the figures and data presented in the paper <Microresonator Dissipative Kerr Solitons Synchronized to an Optoelectronic Oscillator>.</p>
Data accompanying "High order coherent communications using mode-locked dark-pulse Kerr combs from microresonators"
<p>This dataset contains figure data for the publication "High order coherent communications using mode-locked dark-pulse Kerr combs from microresonators".</p> <p>To complement the main transmission results in the paper, the figure 3c subfolder also includes the related raw measurement data as well as the digital signal processing (DSP) code that is required to calculate the bit error ratios. The program code is distributed under a GPLv3 license.</p>
Raw data for High-Q SiN microresonator based on a subtractive processing for Kerr nonlinearity
<p>This document includes the raw data and matlab code to obatin the figures included in the paper 'High-Q SiN microresonator based on a subtractive processing for Kerr nonlinearity'</p>
Photo-induced cascaded harmonic and comb generation in silicon nitride microresonators
<p>The data and code used to produce the results in the paper "Photo-induced cascaded harmonic and comb generation in silicon nitride microresonators". </p>
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