KAccuracy¶

class hmf.core.accuracy.KAccuracy(*, dln_k=0.02, ln_k_min=-18.420680743952367, k_max_r_min=20.0)[source]¶

Settings of the internal wavenumber grid (the lattice in ln k).

The grid’s upper end is not a setting: it is derived from the mass lattice’s settings, as k_max >= k_max_r_min / R(m_min) with m_min the smallest mass of the default mass grid (MassAccuracy.log10_m_min), not the smallest mass requested. So the k grid does not change when the mass lattice extends.

Parameters:

dln_k (float, default 0.02) – Spacing of the wavenumber grid, in ln(k / (h/Mpc)).
ln_k_min (float, default -18.420680743952367) – ln of the smallest wavenumber of the grid, in h/Mpc.
k_max_r_min (float, default 20.0) – The grid extends to at least k_max = k_max_r_min / R, with R the Lagrangian radius of the smallest mass of the default mass grid (MassAccuracy.log10_m_min).

Attributes

dln_k: float¶

ln_k_min: float¶

k_max_r_min: float¶

Methods

classmethod fast(**overrides: Any) → Self¶

Return the fast preset: about v3’s accuracy, at lower cost.

Parameters:: **overrides – Settings to change from the preset.
Returns:: A new instance.
Return type:: Accuracy

classmethod fields_info() → tuple[FieldInfo, ...]¶

Describe this class’s fields, without creating an instance.

Returns:: The name, type, default and documentation of each field.
Return type:: tuple of FieldInfo

classmethod high(**overrides: Any) → Self¶

Return the high-accuracy preset, for convergence checks.

Parameters:: **overrides – Settings to change from the preset.
Returns:: A new instance.
Return type:: Accuracy