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48 results for “soliton”
datasets of the paper "Parametrically driven Kerr cavity solitons"
<p>Dataset of the paper "Parametrically driven Kerr cavity solitons". It includes all the data related to the figures 4 and 5 of the published paper. Figure 4 and 5 of the published paper are also included. To use the data reported in the .csv files please consider the title of each file, where it is reported exactly the figure and the curve which it is referred to. </p>
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>
Nonlinear spectral analysis of ion acoustic solitons arising from a streaming charged object using the numerical inverse scattering transform data
<p>Data files used in the publication: "Nonlinear spectral analysis of ion acoustic solitons arising from a streaming charged object using the numerical inverse scattering transform", submitted to Physics of Plasma August 2022. To be used in conjunction with analysis software KVIST.</p> <p>KVIST can be found at:</p> <ul> <li>https://doi.org/10.5281/zenodo.7017043</li> <li>https://github.com/Planetary-Surfaces-and-Spacecraft-Lab/KVIST</li> </ul> <p>Data files generated with:</p> <p>Truitt, A. (2020). Simulation of Forced Korteweg De Vries Equation as Applied to Small Orbital Debris. Digital Repository at the University of Maryland. https://doi.org/10.13016/FOR0-XJYD</p>
ring fiber cavity for generation of solitons of short duration
<p>This dataset includes all the theoretical and experimental results obtained during the implementation of a fiber cavity, in ring configuration and including an active fiber, to generate solitons of duration shorter than the ones generated so far. The scope of this work has been acquiring familiarity with short solitons, which are the solitons that should be generated in nonlinear cavities of tents of cm of length (CAFR). The dataset includes also the metadata for each file uploaded. </p>
Dataset for chirality-enhanced optical solitons in planar unwound cholesteric cells
<p>This dataset includes all the XML VTK files (*.vti) of simulated optical solitons in unwound planar cholesteric cells as described in [G. Poy & S. Zumer, "Chirality-enhanced nonlinear optical response of frustrated liquid crystals", Proceedings of conference SPIE Optics+Photonics, Liquid Crystals XXV, 2021]. It also includes the postprocessing scripts that were used to generate the figures of the aforementioned paper, which correspond to the 00_*, 01_* and 02_* files. *.nb files were run without any problem with Mathematica 12.2.0.0. The *.py file can be run with a recent version of python3 with numpy and matplotlib installed. As for the *.vti raw data files, they can be visualized with the open-source software Paraview.</p> <p> </p>
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>
seismic data for solitons
<p>Suplementary data (SD for paper:"<strong>A locally generated high-mode nonlinear internal wave detected on the shelf of the northern South China Sea from marine seismic observations</strong>".</p> <p> </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: Spatial multiplexing of soliton microcombs
<p>This dataset contains the data presented in the Figures of the paper Spatial multiplexing of soliton microcombs (doi:<a href="https://doi.org/10.1038/s41566-018-0256-7">https://doi.org/10.1038/s41566-018-0256-7</a>).</p> <p>The datasets and scripts were generated and tested using Matlab 2017.</p>
Dissipative Solitons and Switching Waves in Dispersion-Modulated Kerr Cavities
<p>Execution tested with Matlab 2020a or newer on Windows. Unzip folder to access files.</p> <p><br> Contact miles.anderson@epfl.ch for any serious questions on the contents.<br> All matlab code remains under copyright by the authors: Miles Anderson and Tobias J. Kippenberg, and is provided solely to be used to reproduce the figures of the aforementioned paper and example simulation results pertaining to the paper.</p> <p>Figure data and generation code is found in "Figure Data\Scripts and Data". Run matlab scripts in the given folder to generate the figures. Other relevant figures containing data is found in "\Other".</p> <p>Seven example matlab simulation scripts are found in "Simulation Example Code".</p> <ul> <li>Running 'lle_cavity_v4_CW_FI_Low2' models CW Faraday Instability appearance from Figure 3, in dimensionless units.</li> <li>Running 'lle_cavity_v4_Soliton_FI_1' models a dissipative soliton with Kelly sidebands or higher-order dispersive waves in dispersion modulated cavity, from Figure 4, in dimensionless units.</li> <li>Running 'lle_cavity_v4_SW_FI_Low2' models a switching wave with FI-motivated satellites in dispersion modulated cavity, from Figure 7, in dimensionless units.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F9C15R6_1_1b' (or just '1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 7(f) of the main paper, and Figure S5 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SW_FaradaySatellite_F2C15R5_2_3' (and also '3_1') uses experimental data to reproduce the experiment for the pulse-driven switching wave according to the LLE, the results of which are shown in Figure 8 and 9 of the main paper, and Figure S6 of the supplementary information.</li> <li>Running 'lle_SiNcavity_v4_SolitonHDW_F1C16R6TM_5_s2' uses experimental data to reproduce the experiment as seen in Figure 6 for the pulse-driven soliton according to the LLE, results of which are shown in Figure S9 of the supplementary information.</li> </ul> <p>The script parameters may be modified to find results under different driving conditions and over different time periods and sampling rates as required.</p> <p>M. Anderson apologises in advance for the complexity, readability, and optimisation of the script.</p> <p>This work was supported by Contract No. D18AC00032 (DRINQS) from the Defense Advanced Research Projects Agency (DARPA). This material is based upon work supported by the Air Force Office of Scientific Research under Grant No. FA9550-19-1-0250. This work was further supported by the European Union’s Horizon 2020 Program for Research and Innovation under Grant No. 812818 (Marie Skłodowska-Curie ETN MICROCOMB) and by the Swiss National Science Foundation under Grant Agreement No. 192293.</p>
Data and code for figures: Ultralow-Noise Photonic Microwave Synthesis using a Soliton Microcomb-based Transfer Oscillator
<p>This repository contains the data and code for the paper "Ultralow-Noise Photonic Microwave Synthesis using a Soliton Microcomb-based Transfer Oscillator".</p>
Monolithic piezoelectric control of soliton microcombs
<p>Available data for "Monolithic piezoelectric control of soliton microcombs"</p> <p>This version (V4) is an updated version based on the previous version:</p> <p>V3: 10.5281/zenodo.3902867</p> <p>V2: 10.5281/zenodo.3741411</p> <p>V1: 10.5281/zenodo.3731488</p>
Massively parallel coherent laser ranging using soliton microcomb
<p>Available data for "Massively parallel coherent laser ranging using soliton microcomb", published in Nature 561, 164-170 on May 14th. </p> <p>DOI of original paper: https://doi.org/10.1038/s41586-020-2239-3</p> <p>URL of original paper: <a href="https://www.nature.com/articles/s41586-020-2239-3">https://www.nature.com/articles/s41586-020-2239-3</a></p> <p><br> Execution tested with Matlab 2019a or newer on Windows. Unzip folder to access files.</p> <p>For Figures and extended data Figures execute "Figure*.m" and "ExtDataFigure*.mat" files in corresponding subfolders.<br> Contact johann.riemensberger@epfl.ch or johann.riemensberger@gmail.com if problems with matlab code arise. <br> All matlab code remains under copyright by the authors: Johann Riemensberger and Wenle Weng and is provided solely to be used to reproduce the figures of the aforementioned paper.</p> <p>Raw data for the figures is stored in folder .\Data, preprocessed data is stored in folder .\ProcessedData. GDS file of Si3N4 photonic damascene waveguide resonators is stored in folder: GDS_design. </p>
Coherent spin dynamics of solitons in the organic spin chain compounds (o-DMTTF)2X (X = Cl, Br)
<p>Dataset of the paper</p> <p>https://doi.org/10.1103/PhysRevB.100.224414</p> <p> </p>
Electric-field induced multiferroic topological solitons
<p>Data related to the publication "Electric-field induced multiferroic topological solitons" to appear in Nature Materials.</p>
Data and code for figures: Photonic chip-based soliton frequency combs covering the biological imaging window
<p>This dataset contains the data presented in the figures of the paper Photonic chip-based soliton frequency combs covering the biological imaging window.</p> <p>The data for figure X (X = 1,2,3,4,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>A minimal script znd_Fig.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 2016b or 2014b.</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>
Coherent soliton condensation in the optical event horizon (experimental data)
<p>tar.gz-archive of experimental data for the article</p> <p>"Coherent soliton condensation in the optical event horizon"</p> <p>S. Bose (1,2), O. Melchert (1,3), I. Babushkin (1,3), M. Pal (2), U. Morgner (1,3), G. Steinmeyer (5,6), and A. Demircan (1,3)</p> <ol> <li>Institute of Quantum Optics, Leibnitz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany</li> <li>Fiber Optics and Photonics Division, CSIR-Central Glass and Ceramic Research Institute (CGCRI), Kolkata, India</li> <li>Cluster of Excellence PhoenixD, Welfengarten 1, 30167, Hannover, Germany</li> <li>Max-Born-Institut, Max-Born-Straße 2A, 12489 Berlin, Germany</li> <li>Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany</li> </ol>
Reconfigurable non-Hermitian soliton combs using dissipative couplings and topological windings
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