CLAMATO Data Release 2 Updated 2023 Jan 11th by Khee-Gan Lee (kglee@ipmu.jp) Supporting paper has been published in ApJS (arXiv:2109.09660) These are data products associated with the second data release (DR2) of the COSMOS Lyman-Alpha Mapping And Tomography Observations (CLAMATO) survey with the Keck-I telescope, which mapped 3D Lyman-alpha forest absorption at 2.05>> import numpy as np >>> den=np.load('TARDIS_CLAMATO_DR2_v0.4_smoothed.npy') >>> np.shape(den) (34, 28, 438) >>> eigen = np.load('TARDIS_eigenvalues_CLAMATO_DR2_v0.4_smoothed.npy') >>> np.shape(eigen) (34, 28, 438, 3) The 3 dimensions correspond to the R.A., Declination, and line-of-sight directions, respectively. Note that unlike the Wiener-filtered absorption map, the TARDIS-II reconstruction outputs are in 1Mpc/h comoving voxels. The coordinate zero-point sand line-of-sight comoving distance-redshift relationship are otherwise the same as the Wiener map. The eigenvalues of the pseudo-deformation tensor are in TARDIS_eigenvalues_CLAMATO_DR2_v0.4_smoothed.npy, with the same array shape as the matter density, but with an additional array dimension storing the 3 sorted eigenvalues at each point in the volume. For reference, we have included an iPython notebook (Tomographic_Maps.ipynb) that plots the Wiener-filtered absorption alongside the TARDIS-II densities and eigenvalues (e.g. Figure 8 of the main paper).