GLAM DESI-like LRGs: HDF5 tables
If you use this data please cite the paper by Hernández-Aguayo et al. (2020).

DESI-like GLAM LRG catalogues at z=0.60, z=0.74 and z=0.93. This python script read_GLAM-catalogue.py reads the hdf5 tables.

The hdf5 file contains the following datasets:
- number_tracers
    Integer
    Total number of galaxies in the catalogue
- boxSize
    Float
    Size of the simulation box, in Mpc/h
- pos
    Float array, shape (N, 3)
    Comoving cartesian position vector, in Mpc/h
- vel
    Float array, shape (N, 3)
    Cartesian velocity vector, in km/s (not comoving)
- log_mass
    Float array, length N
    log_10(halo_mass), where halo mass is defined as Mvir, in units Msun/h
- ID
    integer, length N
    1=central, 2=satellite
- Power_spectrum:
    -- k
          Float array, length 261
          The k-values used for the power spectrum calculation, in units of h/Mpc.
    -- Pk_r
          Float array, length 261
          Real-space galaxy power spectrum, in units of (h/Mpc)^3.
    -- Pk_0
          Float array, length 261
          Monopole of the redshift-space galaxy power spectrum, in units of (h/Mpc)^3.
    -- Pk_2
          Float array, length 261
          Quadrupole of the redshift-space galaxy power spectrum, in units of (h/Mpc)^3.
- Correlation_function
    -- s
          Float array, length 30
          The separation bins used for the correlation function calculation, in units of (Mpc/h).
    -- xi_r
          Float array, length 30
          Real-space galaxy correlation function.
    -- xi_0
          Float array, length 30
          Monopole of the redshift-space galaxy correlation function.
    -- xi_2
          Float array, length 30
          Quadrupole of the redshift-space galaxy correlation function.