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11 results for “transient electromagnetic”
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. 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 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>
Transient Electromagnetic data from the Los Humeros geothermal field in Mexico: raw data
<p>The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Los Humeros geothermal field, Mexico and their locations in a .csv file.</p> <p>The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.</p>
Transient Electromagnetic data from the Acoculco area in Mexico: raw data
<p>The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Acoculco area, Mexico and their locations in a .csv file.</p> <p>The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.</p>
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>
Transient analysis of power loss density with time-harmonic electromagnetic waves in Debye media
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Redback: A Bayesian inference software package for electromagnetic transients - Example data
<p>Data associated with plots in the publication <em><strong>Redback: A Bayesian inference software package for electromagnetic transients</strong></em> [<a href="https://arxiv.org/abs/2308.12806">arXiv:2308.12806</a>]. To reproduce the publication plots, you can use the notebook linked <a href="https://github.com/nikhil-sarin/redback/blob/master/examples/RedbackPaperPlots.ipynb">here</a>.</p> <p>Redback is an open-source, end-to-end Bayesian Inference software package for simulating and fitting electromagnetic transients. It provides an object-orientated Python interface to multiple sampling algorithms, models for several different electromagnetic transients, an interface to download and process the data for multiple transients from various catalogues, simulate transients for real surveys (e.g. ZTF, LSST) and fit the observations through Bayesian inference [<a href="https://github.com/nikhil-sarin/redback/tree/master">github.com/nikhil-sarin/redback</a>]</p> <p> </p>
Data set | Geoelectrical and transient electromagnetic surveys at Viveros de Netzahualcóyotl in Xochimilco, Mexico City, Mexico
<p>This repository contains geophysical raw data collected during two field campaigns in 2016 and 2017 at <a href="https://goo.gl/maps/K7xEC44MdnQno9CG8">Viveros de Netzahualcóyotl in Xochimilco</a>, Mexico City, Mexico.</p> <p>The data set includes raw data analysed for the first case study discussed in the following publication</p> <p>Bücker, M., Lozano-Garcia. S., Ortega-Guerrero, B., Caballero-Miranda, M., Pérez, L., Caballero, L., Pita de la Paz, C., Sánchez-Galindo, A., Jesús Villegas, F., Flores Orozco, A., Brown, E., Werne, J., Valero Garcés, B., Schwalb, A., Kemna, A., Sánchez-Alvaro, E., Launizar-Martínez, N., Valverde-Placencia, A., Garay-Jiménez, F. (2017). <em><strong>Geoelectrical and Electromagnetic Methods Applied to Paleolimnological Studies: Two Examples from Desiccated Lakes in the Basin of Mexico</strong></em>. Boletín de la Sociedad Geológica Mexicana, 69(2), 279-298, <a href="http://dx.doi.org/10.18268/bsgm2017v69n2a1">http://dx.doi.org/10.18268/bsgm2017v69n2a1</a>.</p> <p>If you find our data useful in your own research, please mention this data set and/or the manuscript.</p> <p>The data are provided under the Creative Commons Attribution 4.0 International license.</p>
Improved hybrid particle swarm optimizer with sine-cosine acceleration coefficients for transient electromagnetic inversion
<p>The Xishan Landslide Research area is located in Sichuan Lixian County, Southwest China. </p> <p>The N.O. 1 profile from Li et al., (2020), containing 15 measuring points, was chosen to test data fitting of IH-PSO-SCAC and to determine the hydrogeological structure of landslides.</p> <p> </p>
Pulsed electromagnetic field (PEMF) transiently stimulates the rate of mineralization in a 3-dimensional ring culture model of osteogenesis
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Transient electromagnetic data de-noising
<p>The synthetic datasets for the LSTM-autoencoder training and the field dataset.</p>
Improved hybrid particle swarm optimizer with sine-cosine acceleration coefficients for transient electromagnetic inversion(2)
<p>The datas are gained in<Nonlinear programming genetic algorithm in transient electromagnetic inversion>. Li F P, Yang H Y, Liu X H, et al.</p> <p>Geophysical and Geochemical Exploration,2017,41(2) :347-353.</p> <p>http://doi.org /10.11720/wtyht.2017.2.24</p>
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