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-rw-r--r--fg21sim/extragalactic/clusters.py55
1 files changed, 45 insertions, 10 deletions
diff --git a/fg21sim/extragalactic/clusters.py b/fg21sim/extragalactic/clusters.py
index b20d261..8249e3a 100644
--- a/fg21sim/extragalactic/clusters.py
+++ b/fg21sim/extragalactic/clusters.py
@@ -175,7 +175,7 @@ class GalaxyClusters:
logger.info("Adopted dimensionless Hubble parameter: {0}".format(h))
# Cluster masses, unit: solMass (NOTE: h dependence)
self.catalog["mass"] = (self.catalog["m"] *
- self.catalog_prop["m_particles"].value / h)
+ self.catalog_prop["m_particle"].value / h)
self.units["mass"] = au.solMass
logger.info("Catalog: calculated cluster masses")
# Cluster distances from the observer, unit: Mpc
@@ -199,7 +199,8 @@ class GalaxyClusters:
fullsky = 4*np.pi * au.sr
factor = float(fullsky / self.catalog_prop["coverage"])
n0_cluster = len(self.catalog)
- logger.info("Halo fraction in clusters: %f" % self.halo_fraction)
+ logger.info("Radio halo fraction in clusters: {0}".format(
+ self.halo_fraction))
# Total number of clusters on the full sky
N_cluster = int(n0_cluster * factor * self.halo_fraction)
logger.info("Total number of clusters on the full sky: {0:,}".format(
@@ -281,10 +282,10 @@ class GalaxyClusters:
Attributes
----------
catalog["r_vir"] : 1D `~numpy.ndarray`
- The virial radii (unit: Mpc) calculated from the cluster masses
+ The virial radii (unit: Mpc) calculated from the cluster masses
catalog["size_major"], catalog["size_minor] : 1D `~numpy.ndarray`
- The major and minor axes (unit: degree) of the clusters calculated
- from the above virial radii and the random eccentricities.
+ The major and minor axes (unit: degree) of the clusters calculated
+ from the above virial radii and the random eccentricities.
NOTE
----
@@ -308,7 +309,7 @@ class GalaxyClusters:
# Calculate (elliptical) angular sizes, i.e., major and minor axes
logger.info("Calculating the elliptical angular sizes ...")
distance = self.catalog["distance"].data * self.units["distance"]
- theta2 = float(2 * r_vir / distance) # [ rad ]
+ theta2 = (r_vir / distance).decompose().value # [ rad ]
size_major = theta2 / (1 - self.catalog["eccentricity"]**2) ** 0.25
size_minor = theta2 * (1 - self.catalog["eccentricity"]**2) ** 0.25
self.catalog["size_major"] = size_major * au.rad.to(au.deg)
@@ -325,6 +326,16 @@ class GalaxyClusters:
Then, derive the radio luminosity by employing the scaling
relation between X-ray and radio luminosity.
+ Attributes
+ ----------
+ catalog["luminosity"] : 1D `~numpy.ndarray`
+ The luminosity density (at 1.4 GHz) of each cluster.
+ catalog_prop["luminosity_freq"] : `~astropy.units.Quantity`
+ The frequency (as an ``astropy`` quantity) where the above
+ luminosity derived.
+ units["luminosity"] : `~astropy.units.Unit`
+ The unit used by the above luminosity.
+
XXX/TODO
--------
The scaling relations used here may be outdated, and some of the
@@ -367,7 +378,9 @@ class GalaxyClusters:
# Hubble parameter conversion factor
h_conv1 = (h_our / h_others) ** (b_X-2)
# X-ray luminosity (0.1-2.4 keV) [ erg/s ]
- L_X = (a_X * 1e45 * float(mass_RB / (1e15*au.solMass))**b_X) * h_conv1
+ L_X = ((a_X * 1e45 *
+ (mass_RB / (1e15*au.solMass)).decompose().value ** b_X) *
+ h_conv1)
# Calculate the radio luminosity from X-ray luminosity
a_r = 2.78
b_r = 1.94
@@ -380,6 +393,24 @@ class GalaxyClusters:
self.units["luminosity"] = au.W / au.Hz
logger.info("Done Calculate the radio luminosity")
+ def _calc_specindex(self):
+ """Calculate the radio spectral indexes for each cluster.
+
+ Attributes
+ ----------
+ catalog["specindex"] : 1D `~numpy.ndarray`
+ The radio spectral index of each cluster.
+
+ XXX/TODO
+ --------
+ Currently, a common/uniform spectral index (1.2) is assumed for all
+ clusters, which may be improved by investigating more recent results.
+ """
+ specindex = 1.2
+ logger.info("Use common spectral index for all clusters: "
+ "{0}".format(specindex))
+ self.catalog["specindex"] = specindex
+
def _calc_Tb(self, luminosity, distance, specindex, frequency, size):
"""Calculate the brightness temperature at requested frequency
by assuming a power-law spectral shape.
@@ -453,6 +484,9 @@ class GalaxyClusters:
logger.info("Simulating HEALPix templates for each cluster ...")
templates = []
resolution = self.resolution.to(au.deg).value
+ # Make sure the index is reset, therefore, the *row indexes* can be
+ # simply used to identify the corresponding template image.
+ self.catalog.reset_index(inplace=True)
# XXX/TODO: be parallel
for row in self.catalog.itertuples():
# TODO: progress bar
@@ -492,8 +526,8 @@ class GalaxyClusters:
--------
`self._simulate_template()` for more detailed description.
"""
- name = data.name
- hpidx, hpval = self.templates[name]
+ index = data.Index
+ hpidx, hpval = self.templates[index]
# Calculate the brightness temperature
luminosity = data.luminosity
distance = data.distance
@@ -525,7 +559,7 @@ class GalaxyClusters:
history) for the simulated products.
"""
header = fits.Header()
- header["COMP"] = ("extragalactic clusters of galaxies (radio halos)",
+ header["COMP"] = ("Extragalactic clusters of galaxies",
"Emission component")
header["UNIT"] = ("Kelvin", "Map unit")
header["CREATOR"] = (__name__, "File creator")
@@ -586,6 +620,7 @@ class GalaxyClusters:
#
self._calc_sizes()
self._calc_luminosity()
+ self._calc_specindex()
#
self._simulate_templates()
#