clenspy.selection.boost.load_boost_factor_collection

clenspy.selection.boost.load_boost_factor_collection(path, l0=0, le=10, z0=0, ze=3, scale_cut=(0.1, 5.0))[source]

Load BoostFactorData for every richness/redshift bin in a grid.

Calls load_boost_factor_data for each (l, z) pair with l in range(l0, le) and z in range(z0, ze).

Parameters:

  • path (str) – Directory containing the boost factor data and covariance files.

  • l0 (int, optional) – Richness bin range [l0, le) (default: 0 to 10).

  • le (int, optional) – Richness bin range [l0, le) (default: 0 to 10).

  • z0 (int, optional) – Redshift bin range [z0, ze) (default: 0 to 3).

  • ze (int, optional) – Redshift bin range [z0, ze) (default: 0 to 3).

  • scale_cut (tuple[float, float], optional) – (r_min, r_max) in Mpc passed to load_boost_factor_data (default: (0.1, 5.0)).

Returns:

BoostFactorCollection – One BoostFactorData per (l, z) bin, keyed "{l}l_{z}z".

Return type:

BoostFactorCollection