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73 results for “Vorticity”
Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology — data release
<p>This release contains all data used to prepare the publication <a href="https://arxiv.org/abs/2207.13392">Probing center vortices and deconfinement in SU(2) lattice gauge theory with persistent homology</a>.</p> <p>Included are:</p> <ul> <li>The raw log output from the simulations and computed persistence images for the analysis in Section IV.B of the <a href="https://arxiv.org/abs/2207.13392">paper</a> in 'raw_data.zip'.</li> <li>The values of the action and Polyakov loop from the above logs, along with the persistence images restructured into netCDF4 format for convenience, in the files 'Nt=*_Ns=*_pis_actions_polyakovs.nc'.</li> <li>The values of the observable m_2 (as defined in the <a href="https://arxiv.org/abs/2207.13392">paper</a>) for configurations for the twisted boundary conditions analysis in netCDF4 format in 'Nt=4_Ns=12_16_20_m2.nc'.</li> <li>The example persistence diagrams used in the <a href="https://arxiv.org/abs/2207.13392">paper</a> in netCDF4 format in 'Nt=4_Ns=12_example_pds.nc'.</li> </ul>
Low Reynolds number response of a symmetric airfoil to viscous vortical gusts
<p>The response of a NACA0012 airfoil impacted by viscous vortical gusts at low Reynolds numbers is investigated performing Direct Numerical Simulations of the two-dimensional incompressible flow. This database contains the time history of the aerodynamic force coefficients of the airfoil during the interaction with the vortical gust. The airfoil, set at a fixed angle of attack alpha, is impacted by Taylor/Lamb-Oseen vortical gust, which are characterized by a diameter <em>D</em>, a intensity <em>v<sub>0m</sub></em>, and a vertical separation <em>h</em>. Direct Numerical Simulations are run for a range of values for the angle of attack, the size and intensity of the vortical gust, and the vertical separations. All simulations are run at a fixed Reynolds number Re=1000, based on the airfoil chord <em>c</em> and the free-stream velocity <em>U<sub>∞</sub></em>.</p> <p>More details on the database and the corresponding simulations can be found in Martínez-Muriel & Flores (2020), Analysis of vortical gust impact on airfoils at low Reynolds number, J. Fluids and Struct, 99. </p> <p><strong>Contents</strong><br> The database consist on a single ASCII file for each case. After a short, self-explanatory header, each file has 7 columns with the following data: </p> <ul> <li>time, <em>t U<sub>∞</sub>/c</em></li> <li>cl: lift coefficient, <em>c<sub>l</sub></em></li> <li>cd: drag coefficient, <em>c<sub>d</sub></em></li> <li>cm: coefficient of moments with respect to c/4, <em>c<sub>m</sub></em></li> <li>dcl: perturbation of <em>c<sub>l</sub></em> with respect to steady state value, ∆<em>c<sub>l</sub></em> </li> <li>dcd: perturbation of <em>c<sub>d</sub></em> with respect to steady state value, ∆<em>c<sub>d</sub></em> </li> <li>dcm: perturbation of <em>c<sub>m</sub></em> with respect to steady state value, ∆<em>c<sub>m</sub></em> </li> </ul> <p>Reference time (t=0) is taken as the time at which the center of the vortical gust reaches the position of the leading edge of the airfoil (if advected at a velocity <em>U<sub>∞</sub></em>). <br> <br> <strong>Nomenclature </strong><br> The names of the files will follow the acronym t_AaYyDdVv.txt, where the lowecase letters are placeholders for: </p> <table> <tbody> <tr> <td> t </td> <td> Type of vortical gust</td> <td> T: Taylor, LO: Lamb-Oseen</td> </tr> <tr> <td> a </td> <td> Angle of attack </td> <td><em> α</em> = [+8,0,-8] deg</td> </tr> <tr> <td> y </td> <td> Initial vertical position of the centre of the vortex</td> <td><em> h/c </em>= [0,0.5,1]</td> </tr> <tr> <td> d </td> <td> Diameter of the core of the vortex </td> <td><em> D/c </em>= [0.5,1,2]</td> </tr> <tr> <td> v </td> <td> Circumferential velocity </td> <td><em> v<sub>0m</sub></em>/<em>U<sub>∞</sub></em> = [0.1,0.3,1]</td> </tr> </tbody> </table>
Potential vorticity and wind from ERA5 at several isentropic surfaces
<p>This datasets collects winds (u and v components) and potential vorticity from ERA5 at four isentropic surfaces: 475, 600, 700 and 800 K. Data are available daily and monthly. Potential vorticity and modified potential vorticity are stored. </p>
Dataset for the paper "Aircraft wake vortices affecting airport wind measurements"
<p>Dataset in support of the paper "Aircraft wake vortices affecting airport wind measurements". The dataset contains the results of the manual classification as discussed in section 2 and 3 of the paper, details can be found there.</p><p>For each take-off, one row exists in the dataset. The columns are:</p><ul><li><i>takeoff_no</i>: int, Incrementing integer</li><li><i>timestamp</i>: string, UTC time the flight passes by the anemometer</li><li><i>flight_id</i>: string, Unique identifier for the flight</li><li><i>typecode</i>: string, ICAO aircraft typecode of the flight</li><li><i>wtc</i>: string: ICAO wake turbulence category of the flight</li><li><i>groundspeed_kts</i>: float, Groundspeed [kts] at the moment of passing by the anemometer</li><li><i>alt_above_thr_m</i>: float, Altitude above runway threshold [m] at the moment of passing by the anemometer</li><li><i>wind_speed_kts</i>: float, Wind speed [kts]. Computed as a mean of the sensor values for a 2min window ending at the crossing timestamp</li><li><i>wind_dir_deg</i>: float, Wind direction [°]. Computed as a mean of the sensor values for a 2min window ending at the crossing timestamp</li><li><i>is_event_visual_assessor_1</i>: int, Classification of assessor 1 of wheather the flight caused a wake that hit the anemometer</li><li><i>is_event_visual_assessor_2</i>: int, Classification of assessor 2 of wheather the flight caused a wake that hit the anemometer</li><li><i>is_event_visual_assessor_3</i>: int, Classification of assessor 3 of wheather the flight caused a wake that hit the anemometer</li><li><i>is_event_visual_sum</i>: int, Sum of classifications of 3 assessors (0 to 3)</li><li><i>is_event_wake_model</i>: float, Classification of wheather the flight caused a wake that hit the anemometer based on P2P wake model output (only applied to flights with a sum of classifications of 2 and more)</li><li><i>is_event</i>: int, Final classification of wheather the flight caused a wake that hit the anemometer</li></ul><p> </p>
tobac_example_vorticity_tracking_model
<p>Data used in the tobac (<a href="https://github.com/climate-processes/tobac">https://github.com/climate-processes/tobac</a>) example tutorial 'Example_vorticity_tracking_model'. The data is based on WRF simulations for the CORDEX Flagship Pilot Study CPTP "Convection-Permitting Third Pole". </p>
Vortices and vortex stripes in a dipolar Bose-Einstein condensate
<p>Quantized vortices are a prototypical feature of superfluidity that have been observed in multiple quantum gas experiments. But the occurrence of vortices in dipolar quantum gases — a class of ultracold gases characterized by long-range anisotropic interactions — has not been reported yet. Here, we exploit the anisotropic nature of the dipole-dipole interaction of a dysprosium Bose-Einstein condensate to induce angular symmetry breaking in an otherwise cylindrically symmetric pancake-shaped trap. Tilting the magnetic field towards the radial plane deforms the cloud into an ellipsoid, which is then set into rotation. At stirring frequencies approaching the radial trap frequency, we observe the generation of dynamically unstable surface excitations, which cause angular momentum to be pumped into the system through vortices. Under continuous rotation, the vortices arrange into a stripe configuration along the field, in close agreement with numerical simulations.</p>
Dataset: scattering of acoustic waves by vortices
<p>This dataset contains the data associated with the following paper: V. Clair & G. Gabard, Spectral broadening of acoustics waves by convected vortices, <em>Journal of Fluid Mechanics</em>, 841, pp. 50-80, 2018.</p>
Propagating mechanisms of the 2016 Summer BSISO Event: air-sea coupling, vorticity, and moisture
<pre>This repository contains the data from the WRF+HYCOM coupled simulations and WRF simulations for the BSISO event in July and August, 2016. </pre>
Final results from McCoy et al., 'Global Observations of Submesoscale Coherent Vortices in the Ocean', submitted to Progress in Oceanography.
<p>Submesoscale coherent vortices (SCVs) are small-scale, subsurface eddies that are ubiquitous in the ocean. Observations suggest that they efficiently trap and transport water, nutrients, and other properties thousands of kilometers away from their formation regions. However, the weak sea-surface signature restricts SCV observations to mostly chance encounters with shipboard subsurface instrumentation. Thus, the global occurrence, properties, and generation frequency of SCVs remain poorly constrained. Here we present results from a new algorithm used to identify SCVs from Argo float data, applied to roughly 2 million profiles conducted globally from August 1997 to January 2020.</p> <p>After application of the SCV detection algorithm to the global Argo array, we identify 2501 casts piercing spicy-core SCVs (those with anomalously hot and salty water mass characteristics), and 1583 casts piercing minty-core SCVs (anomalously cold and fresh cores) over more than 20 years of available data. The Matlab file 'final_individual_scvs.mat' contains various data for each SCV identified.</p> <p>By grouping detections from consecutive Argo casts, we are also able to record 383 spicy-core SCV time-series and 169 minty-core SCV time-series. The Matlab file 'final_timeseries_scvs.mat' contains the data for these time-series. </p> <p>For a more detailed description of each Matlab file, please see 'README.rtf'. </p> <p>Reach out to Daniel McCoy (dmccoy801@gmail.com) or Daniele Bianchi (dbianchi@atmos.ucla.edu) for inquiries. </p>
Research Data - Nucleation and Arrangement of Abrikosov Vortices in Hybrid Superconductor-Ferromagnetic Nanostructure
<p>Source data from micromagnetic simulations performed in COMSOL Multiphysics and Python codes for data post-processing utilized in the paper "Nucleation and Arrangement of Abrikosov Vortices in Hybrid Superconductor-Ferromagnetic Nanostructure."</p> <p><strong>Square 250-250-205 (nm 3).gif<br></strong>The time evolution of normal-phase indentations and vortex structures in 3D superconducting prism with dimensions \(250 \times 250 \times 205\) nm\(^3\) is analyzed under an inhomogeneous magnetic field generated by a nearby ferromagnetic nanodot with dimensions \(250 \times 250 \times 700\) nm\(^3\), positioned at a distance of \(d\) = 10 nm.</p> <p><strong>Square 250-250-205 (nm 3)- B(H).gif</strong><br>The time evolution of normal-phase indentations and vortex structures in 3D superconducting prism with dimensions \(250 \times 250 \times 205\) nm\(^3\) is analyzed under a homogeneous magnetic field of 315 mT.</p> <p><strong>Sphere radius 200 nm.gif</strong><br>The temporal evolution of vortex structures in a 3D superconducting sphere with a radius of 200 nm is visualized under the effect of a spatially varying magnetic field generated by a ferromagnetic nanodot with dimensions \(350 \times 350 \times 700\) nm\(^3\), positioned 10 nm away.</p> <p><strong>2D_empty Comsol file<br></strong>The TDGL (Time-Dependent Ginzburg-Landau) model is implemented in COMSOL Multiphysics to simulate 2D superconducting systems, a long wire with a square cross-section and a side length of \(a = 250\) nm, under the influence of homogeneous magnetic fields.</p> <p><strong>3D-B(H)-dynamic_empty Comsol file<br></strong>The TDGL model is utilized in COMSOL to simulate a 3D superconducting prism with a square cross-section, where the side length is \(a = 250\) nm and the height is either 205 nm or 185 nm, subjected to homogeneous magnetic fields.</p> <p><strong>3D-350 nm-B(FM)_empty Comsol file</strong><br>The TDGL model is implemented in COMSOL to simulate a 3D superconducting prism with a square cross-section, where the side length is \(a = 350\) nm and the height is 320 nm. The prism is exposed to inhomogeneous magnetic fields produced by a ferromagnetic nanodot with dimensions \(350 \times 350 \times 700\) nm\(^3\), located at varying distances \(d\) from the superconducting prism.</p> <p><strong>3D-250 nm-B(FM)_empty Comsol file</strong><br>The TDGL model is implemented in COMSOL to simulate a 3D superconducting prism with a square cross-section, where the side length is \(a = 250\) nm and the height is 320 nm. The prism is exposed to inhomogeneous magnetic fields generated by a ferromagnetic nanodot with dimensions \(250 \times 250 \times 700\) nm\(^3\), positioned at varying distances \(d\) from the superconducting prism.</p> <p>The files from Comsol (.mph) are without simulation solutions due to their large size - please contact us if needed.</p>
Dataset for Direct visualization of quasiparticle concentration around superconducting vortices
<p>Data for Jian-Feng Ge, et al. “Direct visualization of quasiparticle concentration around superconducting vortices”.</p> <p>The following data files are used for the following figures.</p> <p> Fig. 1 a Illustration figure, no data used<br> b qeff_vs_y_sim.py</p> <p> Fig. 2 a NbSe2_04_220202_0189.txt<br> b NbSe2_05_220503_dIdV_0017.txt<br> NbSe2_07_220822_dIdV_0045.txt<br> c 220210_NbSe2_04_2.3K_map_03.txt<br> d 220824_NbSe2_07_2.3K_spectrum_01.txt<br> 220910_NbSe2_07_2.3K_spectrum_06.txt<br> e 220210_NbSe2_04_2.3K_map_03_qeff.txt<br> f 220824_NbSe2_07_2.3K_spectrum_01_qeff.txt<br> 220910_NbSe2_07_2.3K_spectrum_06_qeff.txt</p> <p> Fig. 3 a NbSe2_04_220202_0180.txt<br> b 220210_NbSe2_04_2.3K_map_01_Rdyn.txt<br> c 220210_NbSe2_04_2.3K_map_01_noise.txt<br> d NbSe2_04_220202_0180_radave.txt<br> e 220210_NbSe2_04_2.3K_map_01_Rdyn_radave.txt<br> f 220210_NbSe2_04_2.3K_map_01_noise_radave.txt</p> <p> Fig. 4 a 220824_NbSe2_07_2.3K_map_01.txt<br> b 220824_NbSe2_07_2.3K_map_01_cuts.txt<br> c qmax_vs_B.txt</p>
A novel method for objective identification of 3-D potential vorticity anomalies - Visualizations using Met.3D
<p>This video provides 3-D visualizations of the outputs of the Potential Vorticity anomaly identification technique regarding an investigated case study. An in-depth description of the algorithm, as well as evaluations of the visible results are performed in the study.</p>
Data used in a manuscript entitled "Large ensemble simulation for investigating predictability of precursor vortices of Typhoon Faxai in 2019 with a 14-km mesh global nonhydrostatic atmospheric model" submitted to Geophysical Research Letters
<p>This include a dataset used in a manuscript entitled “Large ensemble simulation for investigating predictability of precursor vortices of Typhoon Faxai in 2019 with a 14-km mesh global nonhydrostatic atmospheric model” by Yamada and co-authors, which is submitted to Geophysical Research Letters.</p> <p>Contact: Yohei Yamada (yoheiy@jamstec.go.jp)</p>
Fig. 4. Vorticity patterns using Q-criterion for 0 in Hydrodynamic performance of psammosteids: new insights from computational fluid dynamics simulations
Fig. 4. Vorticity patterns using Q-criterion for 0 angles of attack and flow velocity 1.5 ms-1 in Errivaspis (A), Guerichosteus (B), and Tartuosteus (C). Models displayed in left lateral (A 1 –C 1) and top (A 2 –C 2) views. Iso-vorticity surface is colored by the magnitude of velocity.
How well must surface vorticity be organized for tornadogenesis?
<p>This study investigates whether quasi-random surface vertical vorticity is sufficient for tornadogenesis when combined with an updraft typical of tornadic supercells. The viability of this pathway could mean that a coherent process to produce well-organized surface vertical vorticity is rather unimportant. Highly idealized simulations are used to establish random noise as a possible seed for the production of tornado-like vortices (TLVs). A number of sensitivities are then examined across the simulations. The most explanatory predictor of whether a TLV will form (and how strong it will become) is the maximal value of initial surface circulation found near the updraft. Perhaps surprisingly, sufficient circulation for tornadogenesis is often present even when the surface vertical vorticity field lacks any obvious organized structure. The other key ingredient for TLV formation is confirmed to be a large vertical gradient in vertical velocity close to the ground (to promote stretching). Overall, it appears that random surface vertical vorticity is indeed sufficient for TLV formation given adequate stretching. However, it is shown that longer-wavelength noise is more likely to be associated with substantial surface circulation (because it is the areal integral of vertical vorticity). Thus, coherent vorticity sources that produce longer wavelength structures are likely to be the most supportive of tornadogenesis.</p>
Data from: Hydrodynamic analysis of bioinspired vortical cross-step filtration by computational modelling
<p><span><span>Research on the suspension-feeding apparatus of fishes has led recently to the identification of novel filtration mechanisms involving vortices. Structures inside fish mouths form a series of 'backward-facing steps' by protruding medially into the mouth cavity. In paddlefish and basking shark mouths, porous gill rakers lie inside 'slots' between the protruding branchial arches. Vortical flows inside the slots of physical models have been shown to be important for the filtration process, but the complex flow patterns have not been visualized fully. Here we resolve the three-dimensional hydrodynamics by computational fluid dynamics simulation of a simplified mouth cavity including realistic flow dynamics at the porous layer. We developed and validated a modelling protocol in ANSYS Fluent software that combines a porous media model and permeability direction vector mapping. We found that vortex shape and confinement to the medial side of the gill rakers result from flow resistance by the porous gill raker surfaces. Anteriorly directed vortical flow shears the porous layer in the centre of slots. Flow patterns also indicate that slot entrances should remain unblocked, except for the posterior-most slot. This new modelling approach will enable future design exploration of fish-inspired filters.</span></span></p>
InSight's seismic and meteorological data related to the Martian convective vortices
<p><strong>Overview:</strong></p> <p>This repository includes the catalog related to Martian convective vortices observed by NASA's InSight mission. The detailed description is made in the JGR Planet paper entitled "Systematic catalog of Martian convective vortices observed by InSight" by Onodera et al. When you use the information in the catalog, please refer to the following citation.</p> <ul> <li>Onodera, K. et al. (2023), InSight's seismic and meteorological data related to the Martian convective vortices, Zenodo,<em><strong> </strong></em>doi:10.5281/zenodo.7801343<em><strong>.</strong></em></li> </ul> <p><strong>Files:</strong></p> <p>The first numbers in each file name correspond to the ID number included in the catalog file (InSight_CV_Catalog.pickle). All files are in csv format including time in Local Mean True Time in sol, respective observation records. If a number is missing, that means the corresponding data were not available on that sol (at least with the sampling rate we focused on in our paper).</p> <ul> <li><strong>InSight_CV_Catalog.pickle</strong>: It includes all estimated parameters presented by Onodera et al. (2023).</li> <li> <p><strong>PS.zip</strong>: 20 min long pressure data centered at the maximum pressure drop time (LMST, Pressure).</p> </li> <li> <p><strong>VBB_ACC.zip</strong>: 20 min long acceleration data centered at the maximum pressure drop time (LMST, Z comp., N comp., E comp.).</p> </li> <li> <p><strong>WSpeed_WDir_ATemp_calib.zip</strong>: 20 min long calibrated wind & air temperature data centered at the maximum pressure drop time (LMST, Wind speed, Wind direction, Air temperature).</p> </li> </ul>
Hybrid electromagnetic toroidal vortices
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Data from: Hydrodynamic analysis of bioinspired vortical cross-step filtration by computational modelling
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How well must surface vorticity be organized for tornadogenesis?
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.