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ShareScore release 0.9.0
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2 results for “isotropy”
Testing global isotropy with WMAP data - MC chains and plots
<p>Testing isotropy with WMAP data: Monte Carlo chains, marginalized posteriors and triangle plots.</p> <p>File content:</p> <p>all_coupled_chains.zip: MC chains for all the coupled models and pure <span class="math-tex">\(\Lambda\text{CDM}\)</span>;</p> <p>all_coupled_plots.zip: plots of marginalised posteriors and triangle plots for all the coupled models and pure <span class="math-tex">\(\Lambda\text{CDM}\)</span>;</p> <p>all_decoupled_chains.zip: MC chains for all the decoupled models;</p> <p>all_decoupled_plots.zip: plots of marginalised posteriors and triangle plots for all the decoupled models.</p> <p> </p> <p>All plots were made with GetDist ( https://github.com/cmbant/getdist ).</p>
Propagational Isotropy of Large Scale Traveling Ionospheric Disturbances Over Australia And New Zealand due to the 2022 Tonga Volcanic Eruption
<p>This data repository contains global TEC processed data from 14 - 16 January 2022. The original data were obtained from the GNSS-TEC database available at https://stdb2.isee.nagoya-u.ac.jp/GPS/GPS-TEC/ provided by the Institute for Space-Earth Environment Research, Nagoya University. The data is in .mat format (binary Matlab file) with the following data matrices:</p> <ol> <li>Coordinates (geographic coordinates - Latitude, Longitude)</li> <li>dTEC1 (detrended TEC)</li> <li>TimeTEC_combined (time series absolute TEC for each geographic coordinate)</li> </ol> <p>Data has a time resolution of 5 min in each column. </p>
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