Utilities

Synopsis:

Compilation of some useful classes and functions for use in SOLikeT.

class soliket.utils.OneWithCls(info: Mapping[str, Any] = mappingproxy({}), name: str | None = None, timing: bool | None = None, packages_path: str | None = None, initialize=True, standalone=True)

Bases: one

Extension of cobaya.likelihoods.one which creates a dummy \(C_\ell\) requirements dictionary with an \(\ell_{\rm max}\) of 1000 to force computation of pp, tt, te, ee and bb \(C_\ell\) s.

get_requirements()

Get a dictionary of requirements (or a list of requirement name, option tuples) that are always needed (e.g. must be calculated by another component or provided as input parameters).

Returns:

dictionary or list of tuples of requirement names and options (or iterable of requirement names if no optional parameters are needed)

soliket.utils.binner(ell: ndarray, cl_values: ndarray, bin_edges: ndarray) → tuple[ndarray, ndarray]

Simple function intended for binning \(\ell\)-by-\(\ell\) data into band powers with a top hat window function.

Note that the centers are computed as \(0.5({\rm LHE}+{\rm RHE})\), where \({\rm LHE}\) and \({\rm RHE}\) are the bin edges. While this is ok for plotting purposes, the user may need to recompute the bin center in case of integer ell if the correct baricenter is needed.

Parameters:

• ell – Axis along which to bin

• cl_values – Values to be binned

• bin_edges – The edges of the bins. Note that all but the last bin are open to the right. The last bin is closed.

Returns:

The centers of the bins and the average of cl_values within the bins.