Weak Lensing Spectra¶

Calculate the Weak Lening Power spectra using simulator/emulator

class weaklensing.spectra(emu: bool = False, dir_gp: str = 'semigps')[source]¶

Bases: cosmology.spectrumcalc.matterspectrum, cosmology.redshift.nz_dist

basic_class(cosmology: dict) → dict[source]¶

Calculates basic quantities using CLASS

Param: d (dict) - a dictionary containing the cosmological and nuisance parameters
Returns: quant (dict) - a dictionary with the basic quantities

n_of_z(zcenter: list, model_name: str, dist_prop: dict, dist_range: dict = {}) → dict[source]¶

Calculate the (mid-) redshift and the heights

Param: zcenter (list) - a list of the center of source distribution
Param: nodel_name (str) - name of the n(z) we want to use - the following currently supported

Param: dist_range (dict) - a dictionary with the following key words: zmin, zmax, nzmax
Param: dist_prop (dict) - a dictionary with the key words for the specific distribution,for example:

If we are using 2 tomographic bins in the latter

pk_matter(cosmo: dict, a_bary: float = 0.0) → Tuple[dict, dict][source]¶

Calculate the non-linear matter power spectrum

Param: d (dict) - a dictionary with all the parameters (keys and values)
Returns: pk_matter (np.ndarray), quant (dict) - an array for the non-linear matter power spectrum and a dictionary with the important quantities related to cosmology

wl_power_spec(cosmo: dict, a_bary: float = 0.0) → Tuple[dict, dict, dict][source]¶

Power spectrum calculation using the functional form of the n(z) distribution