diff options
Diffstat (limited to 'fg21sim/extragalactic')
-rw-r--r-- | fg21sim/extragalactic/clusters.py | 28 |
1 files changed, 15 insertions, 13 deletions
diff --git a/fg21sim/extragalactic/clusters.py b/fg21sim/extragalactic/clusters.py index 8249e3a..7da778e 100644 --- a/fg21sim/extragalactic/clusters.py +++ b/fg21sim/extragalactic/clusters.py @@ -23,7 +23,7 @@ import pandas as pd from ..utils import write_fits_healpix from ..utils.random import spherical_uniform -from ..utils.convert import Fnu_to_Tb +from ..utils.convert import Fnu_to_Tb_fast from ..utils.grid import make_grid_ellipse, map_grid_to_healpix @@ -228,7 +228,6 @@ class GalaxyClusters: glat = 90.0 - np.degrees(theta) self.catalog["glon"] = glon self.catalog["glat"] = glat - self.units["coord"] = au.deg logger.info("Done add random positions for each cluster") def _add_random_eccentricity(self): @@ -353,7 +352,7 @@ class GalaxyClusters: *cosmic mean mass density ρ_m = Ω_m * ρ_c, therefore, the mass needs following conversion (which is an approximation): - M_{R&B} ~= M * sqrt(OmegaM0) + M_{R&B} ≈ M * sqrt(OmegaM0) - The derived X-ray luminosity is for the 0.1-2.4 keV energy band. - The X-ray-radio luminosity scaling relation adopted here is derived at 1.4 GHz. @@ -370,7 +369,7 @@ class GalaxyClusters: # logger.info("Calculating the radio luminosity (at 1.4 GHz) ...") # Calculate the X-ray luminosity from mass - # XXX: why the mass conversion ?? + # NOTE: mass conversion (see also the above notes) mass_RB = (self.catalog["mass"].data * self.units["mass"] * self.catalog_prop["omega_m"]**0.5) a_X = 0.449 @@ -389,7 +388,7 @@ class GalaxyClusters: # Radio luminosity density (at 1.4 GHz) [ W/Hz ] L_r = (a_r * 1e24 * (L_X / 1e45)**b_r) * h_conv2 self.catalog["luminosity"] = L_r - self.catalog_prop["luminosity_freq"] = 1.4 * au.GHz + self.catalog_prop["luminosity_freq"] = 1400 * self.freq_unit self.units["luminosity"] = au.W / au.Hz logger.info("Done Calculate the radio luminosity") @@ -428,10 +427,10 @@ class GalaxyClusters: The spectral index of the power-law spectrum. Note the *negative* sign in the formula. frequency : float - The frequency (unit: `self.freq_unit`) where the brightness + The frequency (unit: [ MHz ]) where the brightness temperature requested. size : 2-float tuple - The (major, minor) axes (unit: `self.units["size"]`). + The (major, minor) axes (unit: [ deg ]). The order of major and minor can be arbitrary. Returns @@ -447,14 +446,15 @@ class GalaxyClusters: be calculated by extrapolating the spectrum, then convert the flux density to derive the brightness temperature. """ - freq = frequency * self.freq_unit - freq_ref = self.catalog_prop["luminosity_freq"] + freq = frequency # [ MHz ] + freq_ref = self.catalog_prop["luminosity_freq"].value luminosity = luminosity * self.units["luminosity"] - Lnu = luminosity * float(freq / freq_ref) ** (-specindex) + Lnu = luminosity * (freq / freq_ref) ** (-specindex) Fnu = Lnu / (4*np.pi * (distance*self.units["distance"])**2) - omega = size[0]*self.units["size"] * size[1]*self.units["size"] - Tb = Fnu_to_Tb(Fnu, omega, freq) - return Tb.value + Fnu_Jy = Fnu.to(au.Jy).value # [ Jy ] + omega = size[0] * size[1] # [ deg^2 ] + Tb = Fnu_to_Tb_fast(Fnu_Jy, omega, freq) + return Tb def _simulate_templates(self): """Simulate the template (HEALPix) images for each cluster, and @@ -649,7 +649,9 @@ class GalaxyClusters: logger.info("Simulating {name} map at {freq} ({unit}) ...".format( name=self.name, freq=frequency, unit=self.freq_unit)) hpmap_f = np.zeros(hp.nside2npix(self.nside)) + # XXX/TODO: be parallel for row in self.catalog.itertuples(): + # TODO: progress bar hpidx, hpval = self._simulate_single(row, frequency) hpmap_f[hpidx] += hpval # |