CLAMATO DR2: IGM Lyman-Alpha Forest Tomography Survey Public Data Release of Spectra and Maps

Note: You are viewing v1 of the data release, which accidentally left out several files. For the complete version please click on v2 on the right, or go to https://doi.org/10.5281/zenodo.7524313

CLAMATO Data Release 2

Uploaded 2021 Jan 13th by Khee-Gan Lee ([e-mail])

Pre-public version intended for referee and editor's review. Link will be made available in published journal version.

Supporting preprint: arXiv:2109.09660

These are data products associated with the second data release 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).