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33 results for “frequency comb”
Dataset related to the publication "Sub-Doppler optical-optical double-resonance spectroscopy using a cavity-enhanced frequency comb probe"
<p>The files contain </p><p>1. Binary files with normalized and interleaved double-resonance spectra recorded with three different pump transitions and two different relative pump-probe polarizations, indicated in the file name. These spectra are the results of 5 measurements.</p><p>2. Binary file with 45 normalized and interleaved double-resonance spectra recorded with pump on the R(2, <i>F2</i>) transition and parallel relative pump-probe polarization.</p><p>2. Data for Figures 4, S1 and S3 in the paper.</p><p> </p>
refering rawdata and code of "Ultrahigh-throughput single-pixel complex-field microscopy with frequency-comb acousto-optic coherent encoding (FACE)"
<p>Corresponding raw data and codes that produce all relative video and imaging results for real-time monitoring the physicochemical phenomena of microfluidics, microorganism's group, and chemical reactions, supporting and verifying the research article "Ultrahigh-throughput single-pixel complex-field microscopy with frequency-comb acousto-optic coherent encoding (FACE)".</p>
Original raw data to paper "Towards Fourier Domain Mode Locked frequency combs"
<p>The file contains the 4 original datasets used in the paper. The format is HD5. The data represents transients recorded with a Keysight 63GHz real time oscilloscope. The data represents the output from fast 35GHz and 50GHz diode base photo receivers detecting beat signals of two independent lasers.</p> <p> </p> <p>The filename "#A_Bnm_Cnm_Dus.h5" contains the following information:</p> <p> - A is the number of the measurement<br> - B is the bandwidth of the FDML output in nanometers<br> - C is the wavelength of the CW laser in nanometers<br> - D is the length of the measurement in micrometers</p> <p>The data set "#9_80nm_1290nm_200us.h5" is shown in:<br> - Figure 4e (as Measurement 3)</p> <p>The data set "#10_80nm_1290nm_200us.h5" is shown in:<br> - Figure 4e (as Measurement 4)</p> <p>The data set "#17_40nm_1305nm_200us.h5" is shown in:<br> - Figure 2b, c, d, e<br> - Figure 3<br> - Figure 4a, b, c, d, e(as Measurement 1)<br> - Figure S2<br> - Figure S3<br> - Figure S4</p> <p>The data set "#18_40nm_1305nm_200us.h5" is shown in:<br> - Figure 4e (as Measurement 2)</p> <p>Each dataset contains two collections of data.<br> One is the beatsignal between FDML laser and CW laser.<br> The second is the beatsignal between the two CW lasers during the measurement time of the first beat signal.</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 article "Mid-infrared frequency comb via coherent dispersive wave generation in silicon nitride nano-photonic waveguides"
<p>This dataset contains the data presented in the figures of the article "Mid-infrared frequency comb via coherent dispersive wave generation in silicon nitride nano-photonic waveguides" (doi:10.1038/s41566-018-0144-1).</p> <p>The raw data in figures (curved plots) is packaged as an independent OriginLab project file (.opj). </p> <p>The layout of the design of the silicon nitride nano-photonic waveguide is presented. Fabrication process card (shown as a diagram) is provided as well.</p> <p>The source code for simulations presented in the article is also presented.</p>
Dataset related to the publication "Measurement and assignment of J = 5 to 9 rotational energy levels in the 9070-9370 cm-1 range of methane using optical frequency comb double-resonance spectroscopy"
<p>The files contain the normalized interleaved double-resonance spectra recorded with four different pump transitions, indicated in the file name. The first column is the wavenumber, the second column is the transmission intensity.</p>
Time/frequency-domain characterization of a mid-IR DFG frequency comb via two-photon and heterodyne detection: datasets
<p>This archive contains the datasets used for generating the plots shown in the paper entitled "Time/frequency-domain characterization of a mid-IR DFG frequency comb via two-photon and heterodyne detection", authored by Tecla Gabbrielli, Giacomo Insero, Michele De Regis, Nicola Corrias, Iacopo Galli, Davide Mazzotti, Paolo Bartolini, Jeong Hyun Huh, Carsten Cleff, Alexander Kastner, Ronald Holzwarth, Simone Borri, Luigi Consolino, Paolo De Natale, and Francesco Cappelli. </p> <p>A README file describing the contained data and how to elaborate them is also provided. </p> <p> </p>
Raw Data for Ultrashort Electron Wave Packets via Frequency-Comb Synthesis. Aluffi et al, 2023
<p>This compressed files contains all the raw data and the python analysis scripts used to generate the figures in the paper Ultrashort Electron Wave Packets via Frequency-Comb Synthesis, Aluffi et al, 2023. 10.1103/PhysRevApplied.20.034005</p> <p>Preprint available at https://doi.org/10.48550/arXiv.2212.12311</p>
Data accompanying "Phase-coherent lightwave communications with frequency combs"
<p>This dataset contains measurement data and processing code for the results presented in "Phase-coherent lightwave communications with frequency combs". The program code is distributed under a GPLv3 license.</p>
Frequency-comb-linearized, widely tunable lasers for coherent ranging
<p>This data contains the raw data of the experiment and the code and corresponding data of the figures in the artical.</p>
Dataset for Tunable on-chip electro-optic frequency-comb generation at 8 µm wavelength
<p>This dataset contains the information contained in Figures 2, 3, 4, 6, 7, 8, 9 of the related manuscript. This research dataset should be interpreted and understood in the context of the corresponding manuscript, which has been published in Laser & Photonics Reviews with DOI: 10.1002/lpor.202300961. All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript. The data correspond to the information shown in the figures of the manuscript. </p> <p>Each file is in .txt format, the decimal separator is a point '.' and the column separator is a tab '\t'.</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 Repository for the article: "Control of multi-modal scattering in a microwave frequency comb"
<p><strong>Abstract:</strong></p> <p>Control over the coupling between multiple modes of a frequency comb is an important step toward measurement-based quantum computation with a continuous-variable system.<br>We demonstrate the creation of square-ladder correlation graphs in a microwave comb with 95 modes.<br>The graphs are engineered through precise control of the relative phase of three pumps applied to a Josephson parametric oscillator. <br>Experimental measurement of the mode scattering matrix is in good agreement with theoretical predictions based on a linearized equation of motion of the parametric oscillator. <br>The digital methods used to create and measure the correlations are easily scaled to more modes and more pumps, with the potential to tailor a specific correlation graph topology.</p> <p> </p> <p>Article DOI:</p> <p>ArXiV: <a href="https://doi.org/10.48550/arXiv.2402.09068">arXiv.2402.09068</a></p> <p> </p> <p><strong>Content:</strong></p> <p>This repository contains the datased used in the article "Control of multi-modal scattering in a microwave frequency comb". Scripts to generate the figures are also included.</p>
Observation of topological frequency combs
<p>On-chip generation of optical frequency combs using nonlinear ring resonators has enabled numerous applications of combs that were otherwise limited to mode-locked lasers. Nevertheless, on-chip frequency combs have relied predominantly on single-ring resonators. Here, we experimentally demonstrate the generation of a novel class of frequency combs, the topological frequency combs, in a two-dimensional lattice of hundreds of ring resonators that hosts fabrication-robust topological edge states with linear dispersion. By pumping these edge states, we demonstrate the generation of a nested frequency comb that shows oscillation of multiple edge state resonances across $\approx$40 longitudinal modes and is spatially confined at the lattice edge. Our results provide an opportunity to explore the interplay between topological physics and nonlinear frequency comb generation in a commercially available nanophotonic platform.</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>
Raw data for: Frequency-Comb-Assisted Swept-Wavelength Interferometry
<p>This document includes the raw data and Matlab codes to obtain the figures included in the paper, 'Frequency-comb-calibrated swept-wavelength interferometry'.</p>
Raw data for: Frequency-comb-calibrated swept-wavelength interferometry
<p>This document includes the raw data and Matlab codes to obtain the figures included in the paper, 'Frequency-comb-calibrated swept-wavelength interferometry'.</p>
Coherent acoustic frequency comb via floquet engineering of optical tweezer phonon lasers
Open the record for dataset details and reuse information.
Observation of topological frequency combs
Open the record for dataset details and reuse information.
Microwave generation and frequency comb in a silicon optomechanical cavity with a full phononic bandgap
<p>Experimental and theoretical data of the publication of Microwave generation and frequency comb in a silicon optomechanical cavity with a full phononic bandgap (ArXiv version)</p>
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