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27 results for “Electromagnetic Waves”

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zenodo52/100

Van Allen Probes Occurrence Rates of Electromagnetic Ion Cyclotron (EMIC) Waves with Rising Tones

<p>CSV files with the values for the occurrence rates of electromagnetic ion cyclotron (EMIC) waves with rising tones observed by the Van Allen Probes from 2012-09-07 to 2016-07-01 from the paper</p><p>Sigsbee, K., Kletzing, C. A., Faden, J., &amp; Smith, C. W. (2023). Occurrence rates of electromagnetic ion cyclotron (EMIC) waves with rising tones in the Van Allen Probes data set. Journal of Geophysical Research: Space Physics, 128, e2022JA030548. https://doi.org/10.1029/2022JA030548&nbsp;</p><p>The below files contain the values from Figures 5 and 6. The first row of each file gives the lower value of each L shell bin (0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.5, 6.0, 7.0, 7.5). &nbsp;The first column of each file gives the magnetic local time (MLT) values (0-23) for each bin.&nbsp;</p><p>rbspab_lshellmlt_minutes_20120907_to_20160701.csv gives the number of minutes spent by the Van Allen Probes in each bin of L shell and MLT.</p><p>rbspab_emic_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes all EMIC waves were observed in each bin of L shell and MLT.</p><p>rbspab_h_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes H+ band EMIC waves were observed in each bin of L shell and MLT.</p><p>rbspab_hr_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes H+ band EMIC waves with rising tones were observed in each bin of L shell and MLT.</p><p>rbspab_he_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes He+ band EMIC waves were observed in each bin of L shell and MLT.</p><p>rbspab_her_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes He+ band EMIC waves with rising tones were observed in each bin of L shell and MLT.</p><p>rbspab_o_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes O+ band EMIC waves with rising tones were observed in each bin of L shell and MLT.</p><p>The below files contain the values from Figures 7-13. &nbsp;The first row of each file gives the lower value of each bin of the radial distance RXY in the XY SM plane &nbsp;(0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.5, 6.0, 7.0, 7.5) in Earth radii (RE). &nbsp;The first column of each file gives the lower value of each bin of Z SM in RE (-2.0, -1.75, -1.5, -1.25, -1.0, 0.0, 1.0, 1.25, 1.50, 1.75). &nbsp;Separate files are provided for four MLT sectors: midnight (21 MLT to 3 MLT), dawn (3 MLT to 9 MLT), noon (9 MLT to 15 MLT), and dusk (15 MLT to 21 MLT).</p><p>Number of minutes spent by the Van Allen Probes in bins of RXY and Z SM (Figure 7):</p><p>rbspab_rxyzsm_minutes_midnight_20120907_to_20160701.csv, &nbsp; &nbsp; &nbsp; &nbsp; rbspab_rxyzsm_minutes_dawn_20120907_to_20160701.csv, &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; rbspab_rxyzsm_minutes_noon_20120907_to_20160701.csv, &nbsp; &nbsp; &nbsp; &nbsp; rbspab_rxyzsm_minutes_dusk_20120907_to_20160701.csv &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</p><p>Percentage of minutes all EMIC waves were observed in bins of RXY and Z SM (Figure 8):</p><p>rbspab_emic_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_emic_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_emic_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_emic_rxyzsm_pcnt_dusk_20120907_to_20160701.csv &nbsp; &nbsp;&nbsp;</p><p>Percentage of minutes H+ band EMIC waves were observed in bins of RXY and Z SM (Figure 9):</p><p>rbspab_h_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_h_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_h_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_h_rxyzsm_pcnt_dusk_20120907_to_20160701.csv &nbsp;</p><p>Percentage of minutes He+ band EMIC waves were observed in bins of RXY and Z SM (Figure 10):</p><p>rbspab_he_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_he_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_he_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_he_rxyzsm_pcnt_dusk_20120907_to_20160701.csv &nbsp;</p><p>Percentage of minutes O+ band EMIC waves were observed in bins of RXY and Z SM (Figure 11):</p><p>rbspab_o_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_o_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_o_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_o_rxyzsm_pcnt_dusk_20120907_to_20160701.csv &nbsp;</p><p>Percentage of minutes H+ band EMIC waves with rising tones were observed in bins of RXY and Z SM (Figure 12):</p><p>rbspab_hr_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_hr_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_hr_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_hr_rxyzsm_pcnt_dusk_20120907_to_20160701.csv &nbsp;</p><p>Percentage of minutes He+ band EMIC waves with rising tones were observed in bins of RXY and Z SM (Figure 13):</p><p>rbspab_her_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_her_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_her_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_her_rxyzsm_pcnt_dusk_20120907_to_20160701.csv &nbsp;</p>

opencc-by-4.0Nov 2023View details →
zenodo48/100

Datasets for "Pulsational pair-instability supernovae in gravitational-wave and electromagnetic transients" from Hendriks et al 2023.

<p>Data related to the paper "Pulsational pair-instability supernovae in gravitational-wave and electromagnetic transients" by Hendriks et al 2023 <a href="https://doi.org/10.1093/mnras/stad2857">https://doi.org/10.1093/mnras/stad2857</a>.</p><ul><li>`EVENTS_V2.2.2_SEMI_HIGH_RES*.tar.gz: main PPISN prescription variation simulation results for the GW mergers. These contain configurations for the populations and the convolved merger results which in turn contain merger rates, merger properties and events that preceded the mergers (RLOF episodes, SNe). These results are used in figures 2, 3, 6, and 7. &nbsp;Figure 8 uses the SFR used in one of these simulations.</li><li>`EVENTS_V2.2.2_MID_RES*.tar.gz`: PPISNe prescription variation results for the transient rate evolution. These contain configurations for the populations and the convolved merger results which in turn contain merger rates, merger properties and events that preceded the mergers (RLOF episodes, SNe). These results are used in figure 4.</li><li>`grid_single_mass_metallicity_data.tar.gz`: data containing single-star remnant-mass data as a function of initial mass vs. final mass for our fiducial model and three variations: Farmer 2019 PPISN prescription, M_extra_ppisn_ML=10 Msun (i.e. where 10 solarmass of additional mass loss occur for each PPISN), M_co_shift_ppisn=-5 Msun (i.e. the CO core mass range that undergoes PPISN is shifted to lower masses by 5 solarmass). This data is used in figure 5.</li><li>`schematic_overview_data.tar.gz`: data containing single-star remnant-mass data as a function of pre-SN core mass for our fiducial models and several variations: Farmer 2019 PPISN prescription, M_extra_ppisn_ML = 5 Msun, M_co_shift_ppisn=-5 Msun, M_co_shift_ppisn=+5 Msun. This data is used in figure 1.</li><li>`paper_ppisne_scripts-main.tar.gz`: git-repository that contains the routines to generate the figures. The readme in this script should contain enough information, but &nbsp;relevant to the data here: the user needs to store the files contained in this zenodo repository in a directory that they point to at with an environment variable called `paper_PPISNe_Hendriks2023_data_dir`. These scripts are also hosted on <a href="https://gitlab.com/dhendriks/paper_ppisne_scripts">https://gitlab.com/dhendriks/paper_ppisne_scripts</a></li></ul>

opencc-by-sa-4.0Oct 2023View details →
zenodo44/100

Optimal neutron-star mass ranges to constrain the equation of state of nuclear matter with electromagnetic and gravitational-wave observations: EOS library

<p>This repository includes a&nbsp;library of equations of state&nbsp;(EOS) and stellar models presented in the publications Weih et al. (2019) (see also the related identifier) and Most et al. (2018). The library&nbsp;includes ~ 3&nbsp;Million physically plausible EOSs that fulfill a number of astrophysical and nuclear constraints. See the README for more information.&nbsp;</p>

opencc-by-4.0Jun 2019View details →
zenodo44/100

Photon wave function and the electromagnetic vacuum

<p>The association of the density of states theory to the vector potential quantization of the electromagnetic field leads naturally to the definition of the photon quantization volume, ascribing an intrinsic physical geometrical property to a single photon. Photons are not point particles and constitute a particular case in particles standard model. Based upon the vector potential with quantized amplitude, we define a photon wave function representing an amplitude probability for the photon localization normalized with respect to the photon quantization volume. In addition, the established photon wave function satisfies Maxwell's propagation equation and Schrödinger's equation with the relativistic massless particle Hamiltonian as well as a Schrödinger-like equation for the vector potential.&nbsp;</p><p>The electromagnetic vacuum derives straightforward from the photon vector potential function and has both classical and quantum representations. It permits to remedy to the zero-point energy shortcomings and singularities in quantum electrodynamics. Finally, the photon wave function is naturally related to the electromagnetic vacuum states putting the basis for understanding entanglement. &nbsp;&nbsp;</p>

opencc-by-4.0Nov 2023View details →
dryad40/100

Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media

<p>Due to the complex permittivity, it is difficult to directly clarify the transient mechanism between electromagnetic waves and Debye media. To overcome above problem, the temporal relationship between the electromagnetic waves and permittivity is explicitly derived by applying the Fourier inversion and introducing the remnant displacement. With the help of the Poynting theorem and energy conservation equation, the transient power loss density is derived to describe the transient dissipation of electromagnetic field and the mechanism on phase displacement has been explicitly revealed. Besides, the unique solution can be obtained by applying the time-domain analysis method rather than involving the frequency-domain characteristics. The effectiveness of transient analysis is demonstrated by giving a comparison simulation on one-dimensional example.</p>

opencc-zeroJan 2022View details →
zenodo40/100

Occurrence characteristics of electromagnetic ion cyclotron waves at Maitri during solar cycle 24

<p>This data is of Induction Coil Magnetometer installed at the&nbsp;Indian Antarctic station- Maitri (geographic 70.7oS, 11.8oE, L = 5). It belongs to the Indian Institute of Geomagnetism, Navi Mumbai. The data is from January 2011 to December 2017.&nbsp; It contains the information about the EMIC wave ground observation at L~5.</p>

opencc-by-4.0May 2019View details →
zenodo40/100

BeMAGIC_Multiferroic materials as flux guides for electromagnetic waves

<p>BeMAGIC ITN (GA861145)_Multiferroic materials as flux guides for electromagnetic waves. Results from VOXALYTIC.</p>

opencc-by-4.0Nov 2022View details →
dryad40/100

Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media

Open the record for dataset details and reuse information.

publicJan 2022View details →
zenodo36/100

The ELF WERA stations measurements used in the paper "TGF 181010 study using extremely low frequency electromagnetic waves" by V. Marchenko, J. Mlynarczyk, M. Ostrowski, A. Kulak, O. Senchenko, J. Kubisz, A. Michalec, J. Salvador, N. Diaz

<p>The data analyzed in the paper are provided as text files containing measurements of two stations of the WERA project:</p> <p>File &quot;TGF181010_Hylaty_201810101300.txt&quot; - from the Hylaty station in Poland,&nbsp;</p> <p>File &quot;TGF181010_Patagonia_201810101300.txt&quot; - from the Patagonia station in Argentina.</p> <p>In each file the first column provides time, as measured in seconds since October 10, 2018, 13:00 UT. The second and third columns provide signals from NS and EW magnetic antennas. The duration of each data set is 5 min. The time accuracy for the Hylaty station is below 1 ms and for the Patagonia station up to several ms.</p>

opencc-by-4.0Mar 2020View details →
zenodo36/100

Electromagnetic Wave Dataset for Strength Degradation Detection in Reinforced Concrete Structures Using RFID Measurements and CNN Model

<p>This dataset comprises 1,800 electromagnetic wave (EM-wave) images collected from three different reinforced concrete beams subjected to varying levels of corrosion. Each image is classified into 'normal' or 'reduced strength' categories based on the beam's structural integrity. Generated through a non-destructive RFID-based monitoring technique, this dataset integrates advanced analyses like 2-D Fourier transforms and fractal dimensions. It is specifically designed to train and validate Convolutional Neural Networks (CNNs) for detecting strength degradation in reinforced concrete structures.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Modeling energetic electron nonlinear wave-particle interactions with electromagnetic ion cyclotron waves

<p>Simulation data set for the JGR paper &quot;Modeling energetic electron nonlinear wave-particle interactions with electromagnetic ion cyclotron waves&quot;. Data formats are in ASCII and Matlab mat file. Data contents are self-explanatory by their file names.</p>

opencc-by-4.0Dec 2018View details →
zenodo36/100

A dataset on in-situ electromagnetic wave integrity control of selective laser fusion printed parts using Machine Learning

<p><strong>DeepSLM Dataset</strong></p> <p>This dataset contains signals from metal parts printed in 3D using SLM (Selective laser melting) technology, produced as part of the DeepSLM project:<em> In-situ monitoring of Selective-Laser-Melted Ti6Al4V Parts Using Eddy Current Testing and Machine Learning</em>.</p> <p><em>Sensor and data collection</em></p> <p>An impedance-based non-destructive testing device is installed on the LPBF coating device. It is in the form of sensors with the following characteristics:</p> <p><em>Spectrum of analysis of the sensors</em></p> <ul> <li>Minimal length: 3-5 mm</li> <li>Minimal width acquisition: 2-3 mm (Without borders effects)</li> <li>Minimal number of layers: 50 layers</li> <li>Signal minimal penetration depth (TiAl<em>6</em>V<em>4</em>/875kHz) = 1.5 mm</li> </ul> <p>The sensors record the signal during printing, while simultaneously sending it to a computer via Bluetooth. The signals are first stored in the database. Next, a dataset is constructed from the extracted signals related to each part, and from the &nbsp;added semi-automatic annotations which describe the porosity of the part and layers.</p> <p><em>Annotations</em></p> <p>In the annotation process, there are 2 different types of labels and a metadata summary for these prints:</p> <p>1. Archimedean porosity measurement for the whole part<br>2. Layer porosity obtained after image processing applied on the resulting metallography images<br>3. Print-related metadata such as print parameters, part dimensions, layer thickness, etc</p> <p>Size: 66 parts<br>Set of printing parameters: 250</p> <p>&nbsp;--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p><strong>Dataset organization</strong></p> <p>The dataset is composed of 7 different printings and is organized as follows:<br>- signals: contains collected signals<br>- metallography: contains porosity extracted by metallography<br>- archimedean: contains porosity extracted by archimedean weighing<br>- metallography-images: contains metallography process images<br>- metadata.csv: contains print metadata (print parameter, part name, strategy, etc.)</p> <p>Each printed part has a unique ID ranging from 0 to 65. Each sub-part has an ID which is the ID of the base part suffixed with the sub-part position: 14_1 is the first sub-part of part 14. This nomenclature is uniform throughout the dataset.</p> <p>The README.md file in the dataset provides more detailed information on the structure of the dataset and the format of each of the files making up the dataset.</p> <p>&nbsp;</p> <p><strong>Relative article</strong></p> <p><a title="https://doi.org/10.1007/978-3-031-47784-3_18" href="https://doi.org/10.1007/978-3-031-47784-3_18" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-47784-3_18</a></p> <p>Sallem, H., Ghorbel, H., Goffinet, E., Cinna, A., Pralong, J., Wicht, J., &amp; Revaz, B. (2023, May). In-Situ Monitoring of Selective Laser Melted Ti&ndash;6Al&ndash;4V Parts Using Eddy Current Testing and Machine Learning. In <em>Advances In Additive Manufacturing Conference</em> (pp. 139-148). Cham: Springer Nature Switzerland.</p>

opencc-by-4.0May 2023View details →
zenodo32/100

Direct Observational Evidence of the Simultaneous Excitation of Electromagnetic Ion Cyclotron Waves and Magnetosonic Waves by an Anisotropic Ring Distribution

<p>dataset of &quot;Direct Observational Evidence of the Simultaneous Excitation of Electromagnetic Ion Cyclotron Waves and Magnetosonic Waves by an Anisotropic Proton Ring Distribution&quot;</p>

opencc-by-4.0Nov 2020View details →
zenodo32/100

Supplemental Material for the paper "Hamiltonian model for electron heating by electromagnetic waves during magnetic reconnection with a strong guide field"

<p>Video clip showing the trajectories of two close particles in the (x,px) phase space while interacting with a wave.</p> <p>Red and green dots are the particle positions, superimposed to the instantaneous energy levels.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

A wave detection procedure for electromagnetic cyclotron waves AND results (data) in case of the solar wind

<p>A detection procedure (produced via IDL)&nbsp;for&nbsp;electromagnetic cyclotron waves is presented,which&nbsp;is used to find low frequency waves in the solar wind over a period of 7 years. The procedure and the&nbsp;relevant results (data) are described in a manuscript entitled &quot;Statistical study of low frequency electromagnetic cyclotron waves in the solar wind at 1 AU&quot;, which has been submitted to Journal of Geophysical Research - Space Physics&nbsp;for publication. More information about the procedure and data can be accessed by writing to the following address: zgqisp@163.com.</p>

opencc-by-4.0Feb 2018View details →
zenodo32/100

Optimal neutron-star mass ranges to constrain the equation of state of nuclear matter with electromagnetic and gravitational-wave observations: Animated Fig. 1

<p>This repository includes the animated version of Fig. 1 in&nbsp;https://arxiv.org/abs/1905.04900.</p>

opencc-by-4.0Aug 2019View details →
ClinicalTrials.gov32/100

Treatment of Chronic HCV Infected Egyptian Patients With Electromagnetic Waves and Herbal Therapy

ClinicalTrials.gov study NCT02215525. IPD Sharing: Not stated. Countries: 1. Publications: 11.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

Wavelet Domain Compensation of Frequency Dispersion of UWB Electromagnetic Waves for Time-Reversal Imaging (dataset)

<p>These files are the simulation data used to create the figures illustrated in the relevant journal paper. Each filename indicates which figure number it relates to. These files are text files. The first row in each file describes the content of each of its columns.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

Nonresonant scattering of energetic electrons by electromagnetic ion cyclotron waves: spacecraft observations and theoretical framework

<p>This repository contains the&nbsp;simulation dataset, plotting scripts, and optimization package for the manuscript ``Nonresonant scattering of energetic electrons by electromagnetic ion cyclotron waves: spacecraft observations and theoretical framework&#39;&#39;.</p> <p>*.h5 are snapshots of EMIC wave field (By and Bz) from deltaf-PIC simulations.</p> <p>test_particle.zip contains the test particle data in the wave field of deltaf-PIC simulations.</p> <p>*.py are plotting scripts to visualize the wave field,&nbsp;test particle simulation results, and theoretical predictions.</p> <p>optimization.zip contains the main subroutines for optimization of wave power spectrum to produce the measured electron precipitation.</p> <p>plt_style.txt is an auxillary style file for matplotlib plot.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
ClinicalTrials.gov28/100

Pilot Clinical Study on a Low-power Electromagnetic Wave Breast Imaging Device for Cancer Screening Purposes.

ClinicalTrials.gov study NCT03475992. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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