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4 results for “code verification”
Simulation data for the step-by-step verification of PIC-MCC codes from VKI and LPP
<p>This dataset contains the results of PIC-MCC simulations of a 2D plasma in a box in 7 test cases with different boundary conditions. The results can be used to verify the correct implementation of PIC and MCC routines. The simulations are performed using the LPPic code, developed at the Laboratoire de Physique des Plasmas (LPP) at École polytechnique, and with Pantera, developed at the von Karman Institute for Fluid Dynamics (VKI).</p> <p><strong>CrossSections.zip</strong> contains the cross-sections used in the simulations in tabulated form. The first column is the collision energy in the center-of-mass frame in [eV]. The second column is the cross-section in [m²]. The cross-section for elastic e−H and electron impact excitation are taken from the Morgan database on LXCat (<a href="https://nl.lxcat.net">https://nl.lxcat.net</a>). The cross sections for H+−H elastic and charge exchange collisions are taken from the tabulated data in Schultz <em>et al.</em>. The ionization cross section corresponds to the fit of Janev <em>et al.</em>, but the energy has been scaled down by a factor of 10 for practical reasons.</p> <p><strong>DensityTemporalProfiles_xxx.csv</strong> contain the temporal evolution of the mean electron and ion density, normalized to the initial density. The data from VKI also contains the corresponding confidence interval estimates.</p> <p><strong>DensitySpatialProfiles_xxx.csv</strong> contain the spatial profiles along the x-coordinate (x in [0,1]m) of the electron and ion densities at the lat time step (t = 5 μs), spatially avergaed in the interval 0.4 m < y < 0.6 m. The data from VKI also contains the corresponding confidence interval estimates.</p> <p><strong>ResultsComparison.zip </strong>contains the temporal history of many domain-integrated quantities (number of particles, total momentum, energies, ...) for each run of each test case using both codes.</p> <p><strong>ErrorQuantification.zip</strong> contains the results of the same integrated quantities, in addition to a final snapshot of the simulation domain, for each test case at three progressive levels of refinement, obtained using the VKI code. These data has been used to compute the confidence intervals for temporal and spatial quantities.</p> <p><strong>DensityConvergenceRate.pdf </strong>contains plots of the effective convergence rate for the mean density of electrons and ions as a function of time for all test cases, computed using the VKI code.</p>
Cross-verification of the global gyrokinetic codes GENE and XGC
<p>Datasets for the gurokinetic benchmark (heat flux and log(T) gradient as function fo space and time) described in "Cross-verification of the global gyrokinetic codes GENE and XGC"</p> <p> </p>
Dataset and code for A Multidimensional Error Verification Method for Weather Forecast Based on the Spatial Distribution Structural Similarity of Meteorological Elements
<p>The dataset includes rainfall observations and mesoscale numerical prediction data for 16 July 2019, 13 June 2020 and 2024 rainy season.<br>The code is the algorithm procedure of this paper. Among them, meiyutest.py is the rainfall scoring procedure for the Meiyu period, and 2019case is the forecast scoring and plotting procedure for two individual cases.</p>
Screening and verification of differentially expressed long non-coding RNAs in the peripheral blood of patients with asthma
GEO Series GSE195599. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
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OpenNeuro
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