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27 results for “noise correlations”
Supporting data for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences"
<p>Datasets, analysis scripts and simulations for "Spatial Noise Correlations in a Si/SiGe Two-Qubit Device from Bell State Coherences".</p> <p>For more information and instructions, see READ ME.txt.</p> <p>For questions, contact Jelmer Boter (j.m.boter@tudelft.nl) or Lieven Vandersypen (l.m.k.vandersypen@tudelft.nl).</p>
Correlation between noise and vegetation in urban areas
<p>Analysis of correlation between vegetation and noise in urban areas.</p> <p>DOI article: 10.22541/au.150651402.23622693</p> <p> </p>
Data for: Distinguishing intrinsic photon correlations from external noise with frequency-resolved homodyne detection
<p>Data for the publication C. Lüders, M. Aßmann, Distinguishing intrinsic photon correlations from external noise with frequency-resolved homodyne detection, Scientific Reports 10 (1), 1-11 (2020).</p> <p>In this work, we apply homodyne detection to investigate the frequency-resolved photon statistics of a cw light field emitted by a driven-dissipative semiconductor system in real time. We demonstrate that studying the frequency dependence of the photon number noise allows us to distinguish intrinsic noise properties of the emitter from external noise sources such as mechanical noise while maintaining a sub-picosecond temporal resolution. We further show that performing postselection on the recorded data opens up the possibility to study rare events in the dynamics of the emitter. By doing so, we demonstrate that in rare instances, additional external noise may actually result in reduced photon number noise in the emission.</p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB-Geschäftszeichen TRR142/3-2022 – Projektnummer 231447078, Project A04.</p>
From Noise to Signal: Multi-layer Speckle Correlation with Applications in Visible Light Communication
<p>Dataset for journal article "Enhanced Secrecy in Optical Communication using Speckle from Multiple Scattering Layers"</p> <p>The basic publication is:<br> Alfredo Rates, Joris Vrehen, Bert Mulder, Wilbert L. IJzerman, and Willem L. Vos, "Enhanced Secrecy in Optical Communication using Speckle from Multiple Scattering Layers", Opt. Express <strong>31</strong>, 23897-23909 (2023).<br> <br> We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and to reproduce all the figures of our paper.</p> <p>The upload contains the file "Metadata.txt" explaining the content of the upload.</p>
Noise Resistant Phase Imaging with Intensity Correlation
<p>Raw data for the arXiv:2301.11969 "Noise Resistant Phase Imaging with Intensity Correlation"</p> <p>Supported by the National Science Centre, Poland, grant number 2022/45/N/ST2/04249</p>
zEPHYR - Noise and performance correlation of a Savonius type vertical axis wind turbine.
The presented data set consists of noise measurement and performance characteristics obtained as a part of the experimental campaign in the Open Jet Facility (OJF) at Delft University of Technology. The observations have been recorded for a typical Savonius vertical axis wind turbine. Refer to the file "setup" for further experimental campaign details.
dispersion curvers of southeastern Tibetan Plateau obtained by wave gradiometry and ambient noise cross correlation
<p>azimuth-dependant dispersion curves: bk.gridID.deg.backazimuth.dsp</p> <p>T=5:20s obtained from ambient noise tomography<br> T=21:60s obtained from wave gradiometry<br> grid information: xyloc.txt</p>
Dataset accompaning "Variational inference for correlated gravitational wave detector network noise"
<p>Dataset accompaning the paper "<strong>Variational inference for correlated gravitational wave detector network noise</strong>"</p> <p> </p> <h3>Raw data files</h3> <ul> <li>ET_caseA_noise.h5 (correlated noise)</li> <li>ET_caseB_noise.h5 (uncorrelated noise)</li> </ul> <p>These contain:</p> <ul> <li>raw_XYZ (the XYZ channels of ET noise)</li> <li>time (time in seconds, corresponding to raw_XYZ)</li> <li>periodogram: <ul> <li>pdgrm (of the above channels, truncated to 5-128 Hz)</li> <li>freq (in Hz)</li> </ul> </li> <li>true_psd <ul> <li>psd </li> <li>freq</li> </ul> </li> </ul> <p><em>Note</em>: case C from the manuscript utilised the case B dataset, (but with a model that does not account for the cross-spectrum). It does not have a separate dataset. </p> <p> </p> <h3><strong>Result file</strong></h3> <ul> <li>ET-CaseA-SGVB-PSD.h5</li> <li>ET-CaseB-SGVB-PSD.h5</li> <li>ET-CaseC-SGVB-PSD.h5</li> </ul> <p>These contain:</p> <ul> <li>psd_quantiles (the lower 0.05, median 0.50, upper 0.95 quantiles of 500 PSD samples)</li> <li>freq (in Hz, associated with the psd_quantiles)</li> </ul>
Earthquake records and ambient noise cross correlations from ENAP Magallanes seismographs, Jan 2019- Mar 2020
<p>This archive contains selected data and data products from 8 seismic monitoring stations operated by Empresa Nacional del Petroleo, Magallanes (ENAP). The data are selected earthquake records from January 2019 through March 2020, and the data products are time-frequency phase-weighted stacks of ambient noise cross correlations between ENAP stations and nearby permanent and temporary seismographs for the period from January 2019 through March 2020. These data and data products can be used, along with other seismic data available from the IRIS DMC (including some data that is embargoed as of the time of writing), to reproduce the authors' model for Vsv in Patagonia.</p>
Migration of mechanical perturbations estimated by seismic coda wave interferometry during the 2018 pre-eruptive period at Kīlauea volcano, Hawaii : Noise Cross-correlation Functions, Seismic catalog, and GNSS data
<p>ARCHIVE_NCFs_KILAUEA_2018.zip : Compress folder with (1) the daily noise cross-correlation functions (in MSEED format) of the station pairs used in the paper and (2) the one hour noise cross-correlation functions (in H5 format) of the station pairs used in the figure 9 of the paper.</p> <p>Code_Data_HVO.ipynb : Code to download the seismic data, available on IRIS, used in this paper.</p> <p>GPS_data_AHUP.zip : Compress folder with the daily GPS data of the station AHUP used in the paper [Year, Month, Day, Day_of_the_year, Second_of_the_day, East_comp(mm), North_comp(mm), Vertical_comp(mm), Sig_East_comp, Sig_North_comp, Sig_Vertical_comp].</p> <p>Radial_tilt_UWD.txt : Daily radial tilt measurement of the tiltmeter UWD [Year, Month, Day, Radial_tilt(µrad)].</p> <p>Seismic_stations_Kilauea.txt : Name code and location of the seismic stations used in the paper [Station_code, Longitude, Latitude].</p> <p>Seismicity_Catalog_Kilauea_2018_USGS.txt : Seismic catalog from USGS used in the paper [Date_Time, Latitude, Longitude, Depth, Magnitude].</p>
The second data release from the European Pulsar Timing Array II. Customised pulsar noise models for spatially correlated gravitational waves
<p>Aims: The nanohertz gravitational wave background (GWB) is expected to be an aggregate signal of an ensemble of gravitational waves emitted predominantly by a large population of coalescing supermassive black hole binaries in the centres of merging galaxies. Pulsar tiNanohertz ming arrays (PTAs), which are ensembles of extremely stable pulsars at approximately kiloparsec distances precisely monitored for decades, are the most precise experiments capable of detecting this background. However, the subtle imprints that the GWB induces on pulsar timing data are obscured by many sources of noise that occur on various timescales. These must be carefully modelled and mitigated to increase the sensitivity to the background signal. Methods: In this paper, we present a novel technique to estimate the optimal number of frequency coefficients for modelling achromatic and chromatic noise, while selecting the preferred set of noise models to use for each pulsar. We also incorporated a new model to fit for scattering variations in the Bayesian pulsar timing package temponest. These customised noise models enable a more robust characterisation of single-pulsar noise. We developed a software package based on tempo2 to create realistic simulations of European Pulsar Timing Array (EPTA) datasets that allowed us to test the efficacy of our noise modelling algorithms. Results: Using these techniques, we present an in-depth analysis of the noise properties of 25 millisecond pulsars (MSPs) that form the second data release (DR2) of the EPTA and investigate the effect of incorporating low-frequency data from the Indian Pulsar Timing Array collaboration for a common sample of ten MSPs. We used two packages, enterprise and temponest, to estimate our noise models and compare them with those reported using EPTA DR1. We find that, while in some pulsars we can successfully disentangle chromatic from achromatic noise owing to the wider frequency coverage in DR2, in others the noise models evolve in a much more complicated way. We also find evidence of long-term scattering variations in PSR J1600-3053. Through our simulations, we identify intrinsic biases in our current noise analysis techniques and discuss their effect on GWB searches. The analysis and results discussed in this article directly help to improve the sensitivity to the GWB signal and they are already being used as part of global PTA efforts.</p>
Noise study data for: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation
<p>This dataset contains noise study data used in the paper: Mechanisms of root-reinforcement in soils: an experimental methodology using four-dimensional X-ray computed tomography and digital volume correlation. These include raw CT scans and processed digital volume correlation data.</p> <p>This dataset is part of another dataset which covers other aspects of the paper DOI: <a href="http://www.doi.org/10.5281/zenodo.3352268">10.5281/zenodo.3352268</a></p> <p>The structure of the dataset is as follows:</p> <ul> <li>Noise study CT raw volumes are contained in a zip file. There are four raw files corresponding to the four noise study steps. These files are 8-bit unsigned, dimensions are 1800 x 1800 x 1400 pixels. A txt file giving more details to the data is included. <ul> <li><strong>CT_Raw_data_Noise_Scans.zip</strong></li> </ul> </li> <li>Metadata files generated for each scan given details of scan parameters are found in the zip file: <ul> <li><strong>CT_Scan_Metadata.zip</strong></li> </ul> </li> <li>Tabulated digital volume data for the noise study scans are contained in the zip file. Tabulated data for each subset size is included in subfolders. A .txt file explains the structure of the tab separated .dat files, i.e. what each column of data represents, and what CT scan each of the four .dat files relate to. <ul> <li><strong>DVC_Noise_Study_Data.zip</strong></li> </ul> </li> </ul> <p> </p> <p> </p>
Seismic noise cross-correlation functions for East Asia
<p>The files uploaded here contain the ambient seismic noise cross-correlation functions used to measure Rayleigh and Love wave group velocity dispersion in East Asia.</p>
Data related to "Modeling the Diverse Effects of Divisive Normalization on Noise Correlations"
<p>Data files for the paper, Modeling the Diverse Effects of Divisive Normalization on Noise Correlations, available on <a href="https://www.biorxiv.org/content/10.1101/2022.06.08.495145v3.abstract">bioRxiv</a></p><p> </p><p>For the corresponding code toolbox, please see the <a href="https://github.com/oren-weiss/pairwiseRatioGaussians">Github repository</a></p><p> </p><p>Please cite as:</p><blockquote><p>Modeling the Diverse Effects of Divisive Normalization on Noise Correlations</p><p>Oren Weiss, Hayley A. Bounds, Hillel Adesnik, Ruben Coen-Cagli</p><p>bioRxiv 2022.06.08.495145; doi: https://doi.org/10.1101/2022.06.08.495145</p></blockquote><p> </p><p> </p>
The ambient noise cross-correlation function and teleseismic events, the Love-wave phase velocities, Rayleigh-wave phase and group velocities and H/V, Vsv and Vsh model in the study region (CNCC)
<p>The cross-correlation functions form EOBSArray (COR_CNCC), The Love-wave phase velocities (Love_phase), Rayleigh-wave phase (Rayleigh_phase) and group velocities (Rayleigh_group) and H/V (HtoV),and 3-D Vsv and Vsh model and related uncertainties (Vsv_Vsh_model) in the study region (CNCC) are archieved in the file named CNCC_data.7z.</p>
Data for "Noise-correlation spectrum for a pair of spin qubits in silicon"
<p>This dataset contains the data files for "Noise-correlation spectrum for a pair of spin qubits in silicon".</p>
Teleseismic P records and ambient noise cross-correlations from a dense ocean-bottom seismometer array at Hyuga-nada
<p><strong>Telesesimic P and ambient noise cross-correlation dataset from a dense OBS array at Hyuganada, SW Japan. </strong> The dataset are used in a manuscript titled 'Shallow low-velocity layer in the Hyuga-nada accretionary prism and its hydrological implications: insights from a passive seismic array', which is submitted to the Journal of Geophysical Research: Solid Earth. It also contains necessary data for reproducing inversion analysis performed in the manuscript. </p> <ol> <li><em>Teleseismic_P.tar.gz</em>: contains teleseismic P wave forms in SAC format </li> <li><em>Noise_cross_corr.tar.gz</em>: contains ambient noise cross-correlation functions in SAC format</li> <li><em>Reproduce.tar.gz</em>: dataset for reproducing inversion analysis. <pre><code class="language-bash"># Example shell script for reproduce inversion results HDA01 cd Reproduce/INV/HDA01 mpirun -np 20 joint_inv joint_inv.in</code></pre> <p>The SEIS_FILO software (https://doi.org/10.5281/zenodo.6330840) is required for this reproduction.</p> </li> </ol>
Investigating The Role of Noise Correlations in Learning
ClinicalTrials.gov study NCT06673303. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Learning to cope: vocal adjustment to urban noise is correlated with prior experience in black-capped chickadees
Open the record for dataset details and reuse information.
Ambient noise cross-correlation functions and three-dimensional S-wave velocity structure in the Noto Peninsula, Japan
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