GaussianDust

class so_pysm_models.GaussianDust(target_nside, has_polarization=True, pixel_indices=None, TT_amplitude=350.0, Toffset=18.0, EE_amplitude=100.0, rTE=0.35, EtoB=0.5, alpha=-0.42, beta=1.53, temp=19.6, nu_0=353, seed=None)[source] [edit on github]

Bases: object

Gaussian dust model

See more details at https://so-pysm-models.readthedocs.io/en/latest/so_pysm_models/models.html

Parameters:
target_nside : int

HEALPix NSIDE of the output maps

has_polarization : bool

whether or not to simulate also polarization maps Default: True

pixel_indices : ndarray of ints

Outputs partial maps given HEALPix pixel indices in RING ordering

TT_amplitude : float

amplitude of synchrotron TT power spectrum (D_ell) at at the reference frequency and ell=80, in muK^2 and thermodinamic units. Default: 350. from the amplitude of PySM-d0 dust model at 353GHz in the region covered by SO-SAT.

Toffset : float

offset to be applied to the temperature map in muK in RJ units. Default: 18 from the mean value of the T PySM-s0 synch map at 23GHz in the region covered by SO-SAT

EE_amplitude : float

Amplitude of EE modes D_ell at reference frequency at ell=80 Default: 100. from the amplitude of HFI-353 E-modes spectrum in the region covered by SO-SAT

EtoB: float

ratio between E and B-mode amplitude for dust. Default: 0.5 from Planck 2018 IX

alpha : same as alpha_sync for dust.

Default: -0.42 from Planck 2018 IX

beta : float

dust spectral index. Default: 1.53 from Planck 2018 IX

temp : float

dust temperature. Default: 19.6 from Planck 2018 IX

nu0 : float

dust reference frequency in GHz. Default: 353

seed : int

seed for random realization of map Default: None

Methods Summary

signal(nu, **kwargs) Return map in uK_RJ at given frequency or array of frequencies

Methods Documentation

signal(nu, **kwargs)[source] [edit on github]

Return map in uK_RJ at given frequency or array of frequencies