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351 results for “jetting”
Shelfbreak Jet Transport from OOI Pioneer
<p>This repository contains hourly Shelfbreak jet transport (Sv) derived from the three central moorings of the OOI Coastal Pioneer Array (https://ooinet.oceanobservatories.org/). </p> <p>Transport is computed from east velocity component (u, in m/s), which is then depth integrated from 15 until 115m. The depth integrated velocity (m2/s) is transformed in transport considering a jet width of 40 km, and then converted into Sv (by dividing by 10^6 factor). Thus, to convert the transport time series back to m2/s, the time series must be divided by 4.10^10.</p> <p>Tides were removed from the velocity component, with Utide harmonic estimation, using the 68 standard tidal coefficients, except for the Semi-annual and Annual components (Sa and SSa).</p> <p>First column: date (datetime format, year-month-day hour:min:second)<br>Second column: Qy (jet transport, in Sv)</p> <p> </p> <p>accompanying paper:</p> <p><span>Camargo, C. M. L.</span>, <span>Piecuch, C. G.</span>, & <span>Raubenheimer, B.</span> (<span>2024</span>). <span>From Shelfbreak to Shoreline: Coastal sea level and local ocean dynamics in the northwest Atlantic</span>. <em>Geophysical Research Letters</em>, <span>51</span>, e2024GL109583. <a href="https://doi.org/10.1029/2024GL109583">https://doi.org/10.1029/2024GL109583</a></p>
RS3L: A jet tagging dataset for self-supervised learning based on re-simulation
<p>Jet tagging dataset used for "Re-Simulation-based Self-Supervised Learning" (RS3L, <a href="https://arxiv.org/abs/2403.07066">arXiv:2403.07066</a>). Simulated partons are re-showered with various parton shower configurations and reconstructed with the Delphes3 detector software. <br><br>The <code>singletons</code> array contains information about the jet and has dimensions <code>N_examples x N_augmentations x N_singletons</code>. The augmenations are ordered by: <br><br>1. nominal scenario: jet showered with Pythia8<br>2. changing the numerical seed in Pythia8<br>3. changing the scale controlling the probability for final state radiation by 1/sqrt(2)<br>4. changing the scale controlling the probability for final state radiation by sqrt(2)<br>5. using Herwig7 as parton shower</p> <p>The variables stored in the <code>singletons</code> array are:</p> <p><code>singletons = ['jettype','parton1_pt','parton1_eta','parton1_phi','parton1_e','parton2_pt','parton2_eta','parton2_phi','parton2_e', 'jet_pt','jet_eta','jet_phi','jet_e','jet_msd','jet_n2']</code><br><br></p> <p>For gluon-initiated jets, <code>parton1</code> and <code>parton2</code> are the two gluon daughters (see below). For any other jet type, parton1 is the main particle (W, H, Z, or single quark), and parton2 is filled with 0s.</p> <p>The <code>jet_pflow_cands</code> contains the particles clustered into the jet. The array has a shape <code>N_examples x N_augmentations x N_features x N_particles</code>.<br><br>The features per particle are:</p> <p><code>features = ['pt','relpt','eta','phi','dr','e','rele','charge','pdgid','d0','dz']</code><br><br>The <code>jettype</code> gives the parton at the origin of the jet: <br><br><code>jettype: <br>1: q<br>2: c<br>3: b<br>4: H->bb<br>5: g->qq<br>6: g->cc<br>7: g->bb<br>8: g->gg<br>9: W->two quarks<br>10: Z->qq<br>11: Z->bb</code></p> <p> </p>
Appendices C, D, and E to the A&A article entitled "Revisiting the BE99 method for the study of outflowing gas in protostellar jets"
Open the record for dataset details and reuse information.
Climate model (CM2.6) and regional model (ACM) processed output used to investigate the physical drivers and biogeochemical effects of the weakening of the northwest North Atlantic Shelfbreak Jet (Garcia-Suarez & Fennel., 2024; JAMES)
<p>Key processed output from the climate model GFDL CM2.6 and the regional Atlantic Canada model (ACM) used to investigate the physical drivers and the biogeochemical effects of the weakening of the shelfbreak jet in the northwest North Atlantic Ocean. The dataset includes all model variables required to reproduce the key results in <em>Garcia-Suarez & Fennel (2024, JAMES)</em>. See <em>GarciaSuarezandFennel_JAMES_CM26_ACM_data_README_v2.txt</em> for more details.</p>
HHH, HH, and QCD events for boosted and resolved Higgs boson jet assignment
<h2>Description</h2> <p>This dataset contains HHH, HH, and QCD events for boosted and resolved Higgs boson jet assignment. The datasets contain two sets of input jets: small-radius jets (<code>Jets</code>) reconstructed with the anti-kT algorithm with radius parameter R=0.5 (AK5 jets) and large-radius jets (<code>BoostedJets</code>) reconstructed with the anti-kT algorithm with a radius parameter R=0.8 (AK8 jets). The dataset content is below.</p> <h2>Files</h2> <p>The different files are used to train and evaluate different symmetry-preserving attention networks (SPA-Nets).</p> <ul> <li><code>hhh_mh120-130_training.h5</code>: Contains HHH events with Higgs boson masses of 120, 122.5, 125, 127.5, and 130 GeV. Used to train the boosted+resolved HHH SPA-Net model.</li> <li><code>hhh_mh125_training.h5</code>: Contains HHH events with a Higgs boson mass of 125 GeV. Used to train the resolved HHH SPA-Net model.</li> <li><code>hhh_mh125_testing.h5</code>: Contains HHH events with a Higgs boson mass of 125 GeV. Used to evaluate the resolved and boosted+resolved HHH SPA-Net models.</li> <li><code>hh_mh125_training.h5</code>: Contains HH events with a Higgs boson mass of 125 GeV. Used to train the resolved and boosted+resolved HH SPA-Net models.</li> <li><code>hh_mh125_testing.h5</code>: Contains HH events with a Higgs boson mass of 125 GeV. Used to evaluate the resolved and boosted+resolved HH SPA-Net models.</li> <li><code>qcd_training.h5</code>: Contains QCD multijet events. Used to train the baseline boosted decision tree (BDT) large-radius jet tagger.</li> <li><code>qcd_testing.h5</code>: Contains QCD multijet events. Used to evaluate the mass sculpting.</li> </ul> <h2>Content</h2> <pre><code>INPUTS BoostedJets MASK fj_charge fj_chargedenergyfrac fj_cosphi fj_ehadovereem fj_eta fj_mass fj_ncharged fj_neutralenergyfrac fj_nneutral fj_phi fj_pt fj_sdmass fj_sinphi fj_tau21 fj_tau32 Jets MASK btag cosphi eta flavor mass matchedfj phi pt sinphi TARGETS bh1 bb mask pt bh2 bb mask pt h1 b1 b2 mask pt h2 b1 b2 mask pt</code></pre>
Integration-based Extraction and Visualization of Jet Stream Cores - Supplemental Video
<p>Supplemental video for the publication "Integration-based Extraction and Visualization of Jet Stream Cores", which extracts jet stream core lines from ERA5 data using a predictor corrector algorithm.</p>
JET-ILW Nonlinear Pedestal ETG Data
<p>Contains data for paper on nonlinear pedestal electron-temperature-gradient turbulence simulations:</p> <p>*.py # python plotting scripts for generating paper plots.<br> *.txt, *.npy # post-processed data required for plotting scripts.<br> *.png, *.eps, *.pdf # paper plots.<br> *.in # gs2 and stella input files for simulations in this paper.</p> <p>stella used for nonlinear simulations (https://github.com/mabarnes/stella)</p>
Supplementary scripts and data for Bastin et al.: Atlantic Equatorial Deep Jets in Argo Float Data, Journal of Physical Oceanography
<p>Analysis scripts used to obtain the results in the paper</p> <p>Bastin, S., M. Claus, P. Brandt and R. J. Greatbatch: Atlantic Equatorial Deep Jets in Argo Float Data. Submitted to Journal of Physical Oceanography.</p>
Datasets for "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".
<p>This repository contains the 7-year averaged files from runs TATL10 and TATL3 used in the manuscript "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".</p> <p>Additional files include the CARS oxygen climatology and the CMEMS model output used in the study.</p> <p> </p>
Dataset 2 for the reproduction of figures used in "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones""
<p>This is the second dataset with data necessary for the reproduction of the figures used in the manuscript.</p> <p> </p>
Decoupled hydroclimate of Central and Southwestern Iran controlled by the strength of southerly-westerly jets during Marine Isotope Stage 3
<p><span>Abstract</span></p> <p><span>The regional impact of abrupt glacial climate variability remains poorly constrained for arid southwestern Asia, particularly winter dynamics during Marine Isotope Stage 3, due to limited paleoarchives in the Middle East. Here, we present novel continuous speleothem records of δ<sup>18</sup>O and δ<sup>13</sup>C for Southwestern and Central Iran, spanning the interval ~50-30 ka. Stable-isotope signals in the two stalagmites are generally uncorrelated and do not exhibit a consistent response</span><span> </span><span>to Greenland stadials or interstadials; however, both show a positive δ<sup>18</sup>O excursion that coincides with Heinrich event 4. We explore the potential mechanisms for intermittent coupling of speleothem </span><span>δ</span><sup><span>18</span></sup><span>O across Iran through isotope-enabled atmospheric modelling outputs, from which we utilize the spatial </span><span>δ</span><sup><span>18</span></sup><span>O gradient as a proxy for wintertime westerly vs. southerly jet strength. Our results suggest that during Heinrich event 4 and several Greenland stadials, stronger westerly winds enhanced Mediterranean moisture contributions to both sites and reduced aridity in southern Iran.</span></p>
Simulated and Reconstructed Jets with CMS and DELPHES
<p>We provide data used for fast simulation studies. The subject of the study is simulated <a href="../records/3341419">CMS single light-jet data</a>. The data is split by the parton pT range in slices 470-600 GeV, 600-800 GeV, 800-1000 GeV, 1000-1400 GeV, 1400-1800 GeV, and > 1800 GeV. The file names are indicated by the lower bound. Each file contains the branch with stable input particles before detector simulation and the branch with the reconstructed particle flow candidates jet. A 1 GeV cut is applied to the particle flow candidates.</p> <p>Our model was trained on two slices covering the 800 - 1400 GeV region and evaluated on all slices. Each train, validation, and test file contains 1.7 M, 240 k, and 480 k jets. </p> <p>For comparison, we provide the detector simulation obtained with <a href="https://arxiv.org/abs/1307.6346">DELPHES 3.5</a> for the same set of truth-level events in each jet energy slice. We used the CMS card with pileup and an average of 6.35 pileup vertices per event. The particle flow objects are clustered into anti-kT R-0.5 jets and only constituents of the leading jet in each event are kept. Each file contains 250k jets.</p>
Dataset accompanying the publication: River mouth hydrodynamics: the role of the outlet geometry and transient tidal and river discharge conditions on the jet structure
<p>Delft3D model input files for all numerical scenarios tested. Subfolders contents:</p> <p>00_example: files to run simulation 111 (see Table 1 in the original manuscript). The remaining cases can be simulated using the correct combination of files contained in the following subfolders.</p> <p>01_grid: grid files for the different geometries defined</p> <p>02_bathymetry: bathymetry files for the different geometries defined</p> <p>03_Boundary conditions: files containing the node information where the boundary conditions are defined for each case.</p> <p>04_bct: files containing the time series for the boundary conditions</p> <p>05_bch: files containing the information on the harmonic conditions defined at the offshore boundary condition.</p> <p>06_Discharge: files containing the river discharge conditions (the hydrographs)</p> <p>07_Initial: files containing the initial conditions used to reduce the spin-up interval of the simulations.</p> <div> <div> <div> <div> <p>Delft3D source codes are downloadable from the Deltares model repository (https://oss. deltares.nl/web/delft3d).</p> </div> </div> </div> </div>
Dataset for the paper "The Comprehensive Response of the Magnetopause to the Impact of a Magnetosheath High-Speed Jet"
<p>This dataset is used for the paper "The Comprehensive Response of the Magnetopause to the Impact of a Magnetosheath High-Speed Jet" and contains publicly available data of MMS dayside magnetopause crossing events with high-speed jet events from 2015 to 2020. It includes crossing times, high-speed jet durations, the normals from the model and observations (Timing and MVA methods), and the temporal and spatial response scales of the magnetopause for all 20 MP response events in geocentric solar magnetospheric (GSM) coordinates.</p>
The optimization of a jet turbojet engine by PSO and searching algorithms
<p>The turbojet engine operates on the ideal Brayton cycle (gas turbine) and consists of six main parts: diffusers, compressors, combustion chambers, turbines, afterburners and nozzles. Using computer code writing in MATLAB software environment, exergy analysis on all selected turbojet engine components, exergy analysis on J85-GE-21 turbojet engine for selective height of 10008000 meters above sea level at speeds of 200 m/s and temperatures of 10, 20 and 40 ° C have been provided and then, according to the system functions, the system is optimized based on the PSO method. For the purpose of optimization, variables of Mach number, efficiency of the compressor, turbine, nozzle and compressor pressure ratio are considered in the range of 0.6 to 1.4, 0.8 to 0.95, 0.8 to 0.95 and 7 to 10, respectively. The highest exergy efficiency of different parts of the engine at sea level with an inlet air velocity of 200 m/s corresponds to a diffuser with 73.1%. Then, the nozzle and combustion chamber are respectively 68.6% and 51.5%. The lowest exergy efficiency is related to compressor with 4%. After that, the afterburner is ranked second with 11.6%. Also, the values of entropy produced and the efficiency of the second law before optimization were 1176.99 and 479 w/k respectively and the same values after optimization were 1129 and 51.4 w/k respectively which is identified. After the optimization process, the amount of entropy produced is reduced and the efficiency of the second law of thermodynamics has increased.<br> </p>
Data archive for Towards understanding potential atmospheric contributions to abrupt climate changes: characterizing changes to the North Atlantic eddy-driven jet over the last deglaciation
<p>This archive contains simulated North Atlantic eddy-driven jet latitude and tilt data generated using the PlaSim model to accompany Andres and Tarasov (Climate of the Past, accepted), DOI: https://doi.org/10.5194/cp-15-1-2019.</p> <p>Paper abstract is as follows:</p> <p>"Abrupt climate shifts of large amplitudes were common features of the Earth’s climate as it transitioned into and out of the last full glacial state approximately 20 000<br> years ago, but their causes are not yet established. Midlatitude atmospheric dynamics may have played an important role in these climate variations through their effects on heat and precipitation distributions, sea ice extent, and wind-driven ocean circulation patterns. This study characterizes deglacial winter wind changes over the North Atlantic (NAtl) in a suite of transient deglacial simulations using the PlaSim Earth system model (run at T42 resolution) and the TraCE-<br> 21ka (T31) simulation. Though driven with yearly updates in surface elevation, we detect multiple instances of NAtl jet transitions in the PlaSim simulations that occur within 10<br> simulation years and a sensitivity of the jet to background climate conditions. Thus, we suggest that changes to the NAtl jet may play an important role in abrupt glacial climate changes.</p> <p>We identify two types of simulated wind changes over the last deglaciation. Firstly, the latitude of the NAtl eddy-driven jet shifts northward over the deglaciation in a sequence of distinct steps. Secondly, the variability in the NAtl jet gradually shifts from a Last Glacial Maximum (LGM) state with a strongly preferred jet latitude and a restricted latitudinal range to one with no single preferred latitude and a range that is at least 11 ◦ broader. These changes can significantly affect ocean circulation. Changes to the position of the NAtl jet alter the location of the wind forcing driving oceanic surface gyres and the limits of sea ice extent, whereas a shift to a more variable jet reduces the effectiveness of the wind forcing at driving surface ocean transports.</p> <p>The processes controlling these two types of changes differ on the upstream and downstream ends of the NAtl eddy-driven jet. On the upstream side over eastern North America, the elevated ice sheet margin acts as a barrier to the winds in both the PlaSim simulations and the TraCE-21ka experiment. This constrains both the position and the latitudinal variability in the jet at LGM, so the jet shifts in sync with ice sheet margin changes. In contrast, the downstream side over the eastern NAtl is more sensitive to the thermal state of the background climate. Our results suggest that the presence of an elevated ice sheet margin in the south-eastern sector of the North American ice complex strongly constrains the deglacial position of the jet over eastern North America and the western North Atlantic as well as its variability."</p> <p> </p>
JEt interacting with VEgetation in a Rotating Basin
<p>Contaminants, nutrients and sediment particles flow into our inland and coastal water bodies often forming turbulent jets.<br> Some examples are outflows from rivers, sources and discharges entering the ocean through natural obstructions.<br> Mixing processes are rather well understood for unobstructed jets, and they are mainly controlled by the initial jet characteristics,<br> the boundary conditions and the hydrodynamic features of the ambient current.<br> Jets obstructed by vegetation have been investigated only recently and have shown to play an important role.<br> For example, while in the absence of vegetation the entrainment in the jet is a dominant process,<br> the vegetation canopy has been found to induce detrainment.<br> In the case of a uniform flow, previous research has demontrated that vegetation canopy strongly perturbs advection<br> and dispersion depending on its density and geometry.<br> In realistic contexts, the effect of rotation on the turbulence induced by an obstructed pattern is felt indirectly<br> through the modification of the mean flow,<br> and so the subsequent transport and spreading of turbulent kinetic energy and scalars (tracers).<br> Furtherly, rotation may induce the development of Ekman boundary layers,<br> which effectively increases bottom friction and could alter the turbulence characteristics within the jet.<br> Laboratory studies investigating the effect of the earth's rotation of a jet propagating through vegetation do not exist to date<br> and are the goal of the present experiments.<br> Variation parameters are the vegetation disposition and the different background rotation speeds,<br> for a given output flow rate of the jet.<br> Velocity fields are captured at different horizontal 2D cross sections using a PIV measurement technique,<br> ADV point measurements and dye visualizations and will enable to obtain detailed information about the mean and turbulent flow characteristics.</p>
Appendix Figures B.1–B.7 from the article 'Core Prominence as a Signature of Restarted Jet Activity in the LOFAR Radio-Galaxy Population' (Accepted for publication in the journal Astronomy & Astrophysics on August 23, 2024)
<p><strong>Figure captions:</strong></p> <p> </p> <p><strong>Figs. B.1–B.5.</strong> Images of 69 candidate restarted galaxies selected based on high radio $\mathrm{CP_{1400}}$ combined with low SB of extended emission, a steep spectrum of the core, and USS extended emission coupled with a bright core and summarised in Tables A.1 and A.2. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.</p> <p> </p> <p><strong>Figs. B.6–B.7. </strong>Images of sources excluded from the sample of restarted candidates following the criteria discussed in Sect. 3.1, Sect. 3.2 and Sect. 3.3 and summarised in Tables A.3 and A.4. Radio contours from VLA FIRST maps (white, $5^{\prime\prime}$), LOFAR high-resolution maps (black, $6^{\prime\prime}$), and NVSS maps (purple, $45^{\prime\prime}$) are overlaid on the LOFAR low-resolution resolution maps (orange, $20^{\prime\prime}$). The contouring of all the maps is made at $\,\sigma_\mathrm{local}\times(-3,3,5,10,20,30,40,50,100,150,200)$ levels, with $\sigma_\mathrm{local}$ representing the local RMS noise of the corresponding maps. The host galaxy position is marked with a yellow cross.</p> <p> </p>
CESM data: Response of the low-level jet to precession and itsimplications for proxies of the Indian monsoon
<p>This repository contains the simulation output of precession minimum and maximum experiments carried out using the CESM 1.2.0. The experimental setup is the same as that of Bosmans et al. (2014). Each simulation is run of 100 years, and the Jun-Jul-Aug mean of the last 50 years of the simulation is provided here. The climatological monthly mean of total precipitation from the pre-industrial control simulation is also deposited here. </p> <p> </p> <p>Contact: Chetankumar Jalihal<br> email: jalihal@iisc.ac.in</p> <p> </p> <p>Acknowledgments:<br> These simulations were carried out as a part of Chetankumar Jalihal's Ph.D. thesis, funded by the Ministry of Human Resource Development, Government of India, and the Centre for Excellence in the Divecha Centre for Climate Change (DCCC), supported by the Department of Science and Technology, Government of India. We also acknowledge the Supercomputer Education and Research Centre (SERC), Indian Institute of Science, Bangalore, for making available the computation facilities to carry out the simulations.</p>
Higgs + jets event samples at next-to-leading order QCD at 14 TeV
<p>Higgs plus multi-jet event samples at parton level in HDF5 event format</p> <p><span class="math-tex">\(\sqrt{s}=14\,{\rm TeV}\)</span></p> <p><span class="math-tex">\(m_H=125\,{\rm GeV}\)</span></p> <p><span class="math-tex">\(\mu_R=\mu_F=\frac{1}{2}\Big(m_{\perp,H}+\sum_{jets}p_{\perp,j}\Big)\)</span></p> <p>Generated with <a href="https://gitlab.com/hpcgen/me">Sherpa</a> using the attached setup files</p> <p>Files can be filtered and merged using the <a href="https://gitlab.com/shoeche/lheh5-reader">tools provided on GitLab</a></p>
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