CurvedPowerLaw¶

class pysm.CurvedPowerLaw(map_I, freq_ref_I, map_pl_index, nside, spectral_curvature, freq_curve, map_Q=None, map_U=None, freq_ref_P=None, unit_I=None, unit_Q=None, unit_U=None, map_dist=None)[source] [edit on github]

Bases: pysm.PowerLaw

Methods Summary

 get_emission(self, freqs[, weights]) This function evaluates the component model at a either a single frequency, an array of frequencies, or over a bandpass.

Methods Documentation

get_emission(self, freqs: Unit("GHz"), weights=None)[source] [edit on github]

This function evaluates the component model at a either a single frequency, an array of frequencies, or over a bandpass.

Parameters: freqs: scalar or array astropy.units.Quantity Frequency at which the model should be evaluated, in a frequency which can be converted to GHz using astropy.units. If an array of frequencies is provided, integrate using trapz with a equal weighting, i.e. simulate a top-hat bandpass. weights: np.array, optional Array of weights describing the frequency response of the instrument, i.e. the bandpass. Weights are normalized and applied in Jy/sr. output : astropy.units.Quantity Simulated map at the given frequency or integrated over the given bandpass. The shape of the output is (3,npix) for polarized components, (1,npix) for temperature-only components. Output is in uK_RJ.