遇见数据集

PyGEDM pre-computed maps of Galactic electron density models

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Zenodo2021-06-01 更新2026-04-07 收录
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资源简介:

Pre-computed HDF5 data cubes for PyGEDM web app. Datasets in HDF5 file: Dimension scales distance (pc), DM (pc/cm3), galactic latitude and galactic longitude (deg). <pre>[('dist', &lt;HDF5 dataset "dist": shape (10,), type "&lt;i8"&gt;), ('dm', &lt;HDF5 dataset "dm": shape (12,), type "&lt;i8"&gt;), ('gb', &lt;HDF5 dataset "gb": shape (361,), type "&lt;f8"&gt;), ('gl', &lt;HDF5 dataset "gl": shape (721,), type "&lt;f8"&gt;), gl = np.linspace(-180, 180, 360*2+1) gb = np.linspace(-90, 90, 180*2+1) dist = np.array((0.1, 0.2, 0.5, 1, 2, 5, 8.5, 10, 20, 50)) dm = np.array((1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000)) Galactocentric coordinates XYZ (pc): ('x', &lt;HDF5 dataset "x": shape (100,), type "&lt;i8"&gt;), ('y', &lt;HDF5 dataset "y": shape (100,), type "&lt;i8"&gt;), ('z', &lt;HDF5 dataset "z": shape (100,), type "&lt;i8"&gt;)]</pre> NE2001 model precomputed datasets: <pre> ('ne2001', &lt;HDF5 group "/ne2001" (5 members)&gt;),</pre> <pre>[('ddm', &lt;HDF5 dataset "ddm": shape (12, 361, 721), type "&lt;f8"&gt;), ('ddm_tau', &lt;HDF5 dataset "ddm_tau": shape (12, 361, 721), type "&lt;f8"&gt;), ('dmd', &lt;HDF5 dataset "dmd": shape (10, 361, 721), type "&lt;f8"&gt;), ('dmd_tau', &lt;HDF5 dataset "dmd_tau": shape (10, 361, 721), type "&lt;f8"&gt;), ('xyz', &lt;HDF5 dataset "xyz": shape (100, 100, 100), type "&lt;f8"&gt;)] YMW16 precomputed datasets: ('ymw16', &lt;HDF5 group "/ymw16" (5 members)&gt;),</pre> <pre>[('ddm', &lt;HDF5 dataset "ddm": shape (12, 361, 721), type "&lt;f8"&gt;), ('ddm_tau', &lt;HDF5 dataset "ddm_tau": shape (12, 361, 721), type "&lt;f8"&gt;), ('dmd', &lt;HDF5 dataset "dmd": shape (10, 361, 721), type "&lt;f8"&gt;), ('dmd_tau', &lt;HDF5 dataset "dmd_tau": shape (10, 361, 721), type "&lt;f8"&gt;), ('xyz', &lt;HDF5 dataset "xyz": shape (100, 100, 100), type "&lt;f8"&gt;)]</pre>

提供机构:
Curtin University
创建时间:
2021-06-01
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