diff options
Diffstat (limited to 'fg21sim/extragalactic/clusters')
| -rw-r--r-- | fg21sim/extragalactic/clusters/psformalism.py | 22 |
1 files changed, 8 insertions, 14 deletions
diff --git a/fg21sim/extragalactic/clusters/psformalism.py b/fg21sim/extragalactic/clusters/psformalism.py index f17aae1..dff69a5 100644 --- a/fg21sim/extragalactic/clusters/psformalism.py +++ b/fg21sim/extragalactic/clusters/psformalism.py @@ -6,7 +6,7 @@ Press-Schechter (PS) formalism First determine the number of clusters within a sky patch (i.e., sky coverage) according to the cluster distribution predicted by the PS -formalism; then sampling from the halo mass function to derive the mass +formalism; then sampling from the mass function to derive the mass and redshift for each cluster. """ @@ -29,7 +29,7 @@ class PSFormalism: """ Press-Schechter (PS) formalism - Calculate the halo mass distribution with respect to mass and redshift, + Calculate the mass distribution with respect to mass and redshift, determine the clusters number counts and generate their distribution (mass and z) within a sky patch of certain coverage. """ @@ -52,7 +52,7 @@ class PSFormalism: self.dndlnm_outfile = self.configs.get_path(comp+"/dndlnm_outfile") comp = "extragalactic/clusters" - self.Mmin_cluster = self.configs.getn(comp+"/mass_min") # [Msun] + self.Mmin = self.configs.getn(comp+"/mass_min") # [Msun] self.boost = self.configs.getn(comp+"/boost") self.clobber = self.configs.getn("output/clobber") @@ -150,10 +150,6 @@ class PSFormalism: clobber=self.clobber) logger.info("Wrote dndlnm data into file: %s" % outfile) - @property - def Mmin_halo(self): - return self.Mmin_cluster * COSMO.darkmatter_fraction - @staticmethod def delta(x, logeven=False): """ @@ -211,10 +207,9 @@ class PSFormalism: """ logger.info("Calculating the total number of clusters within " "sky patch of coverage %.1f [deg^2]" % coverage) - logger.info("Minimum cluster mass: %.2e [Msun]" % self.Mmin_cluster) - logger.info("Minimum halo mass: %.2e [Msun]" % self.Mmin_halo) + logger.info("Minimum cluster mass: %.2e [Msun]" % self.Mmin) coverage *= AUC.deg2rad**2 # [deg^2] -> [rad^2] = [sr] - midx = (self.mass >= self.Mmin_halo) + midx = (self.mass >= self.Mmin) numgrid = self.number_grid counts = np.sum(numgrid[:, midx]) * coverage * self.boost counts = int(np.round(counts)) @@ -257,7 +252,7 @@ class PSFormalism: zmin = z.min() zmax = z.max() log10mass = np.log10(self.mass) - log10Mmin = np.log10(self.Mmin_halo) + log10Mmin = np.log10(self.Mmin) log10Mmax = log10mass.max() midx = (log10mass >= log10Mmin) log10mass = log10mass[midx] @@ -297,11 +292,10 @@ class PSFormalism: logger.info("Sampled %d pairs of (z, mass) for each cluster" % counts) z = np.array(z_list) - mass = np.array(mass_list) / COSMO.darkmatter_fraction + mass = np.array(mass_list) comment = [ "halo mass function model: %s" % self.hmf_model, - "cluster minimum mass: %.2e [Msun]" % self.Mmin_cluster, - "dark matter fraction: %.2f" % COSMO.darkmatter_fraction, + "cluster minimum mass: %.2e [Msun]" % self.Mmin, "cluster counts: %d" % counts, "boost factor for cluster counts: %s" % self.boost, "", |