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authorAaron LI <aaronly.me@outlook.com>2016-07-04 22:03:26 +0800
committerAaron LI <aaronly.me@outlook.com>2016-07-04 22:03:26 +0800
commit461a95b36279c964655da918df0b8bd6355cb443 (patch)
tree829359cfca0f45c44e9d7347c9895fc253e999e3 /calc_overdensity.py
parentc75ea86c0b86d6cb1cd9131306aa77d5e785f190 (diff)
downloadcexcess-461a95b36279c964655da918df0b8bd6355cb443.tar.bz2
calc_overdensity.py: update units usage; fix a bug
Diffstat (limited to 'calc_overdensity.py')
-rwxr-xr-xcalc_overdensity.py27
1 files changed, 16 insertions, 11 deletions
diff --git a/calc_overdensity.py b/calc_overdensity.py
index 58e9552..5ae899d 100755
--- a/calc_overdensity.py
+++ b/calc_overdensity.py
@@ -2,7 +2,12 @@
#
# Aaron LI
# Created: 2016-06-30
-# Updated: 2016-06-31
+# Updated: 2016-07-04
+#
+# Change logs:
+# 2016-07-04:
+# * Fix a bug with wrong variable
+# * Update radii to unit "kpc" and mass to unit "Msun"
#
"""
@@ -89,7 +94,7 @@ class MassProfile:
def load_data(self, data, mass_type="total"):
if mass_type not in self.MASS_TYPES:
raise ValueError("invalid mass_types: %s" % mass_type)
- # 3-column mass profile: [r, r_err, mass]
+ # 3-column mass profile: r[kpc], r_err[kpc], mass[Msun]
self.r = data[:, 0].copy()
self.r_err = data[:, 1].copy()
self.m = data[:, 2].copy()
@@ -113,8 +118,9 @@ class MassProfile:
cosmo = FlatLambdaCDM(H0=AstroParams.H0, Om0=AstroParams.OmegaM0)
d_crit = cosmo.critical_density(z).cgs.value # [ g/cm^3 ]
for i, r in enumerate(self.r):
- volume = (4.0/3.0) * np.pi * r**3
- overdensity[i] = self.m[i] / volume / d_crit
+ volume = (4.0/3.0) * np.pi * (r*au.kpc.to(au.cm))**3
+ mass = self.m[i] * au.solMass.to(au.g)
+ overdensity[i] = mass / volume / d_crit
self.overdensity = overdensity
return overdensity
@@ -128,8 +134,7 @@ class MassProfile:
raise ValueError("min(overdensity) > %d" % delta)
r = optimize.newton(
lambda x: self.eval_spline("overdensity", x) - delta,
- x0=500.0*au.kpc.to(au.cm),
- tol=1e-2*au.kpc.to(au.cm))
+ x0=500.0, tol=1e-2)
return r
def calc_mass_delta(self, r_delta):
@@ -143,8 +148,8 @@ class MassProfile:
"""
data = np.column_stack([self.r,
self.r_err,
- self.m])
- header = "radius[cm] radius_err[cm] overdensity"
+ self.overdensity])
+ header = "radius[kpc] radius_err[kpc] overdensity"
np.savetxt(outfile, data, header=header)
def fit_spline(self, spline, log10):
@@ -251,9 +256,9 @@ def main():
r_delta = m_total_profile.calc_radius_delta(delta=d)
m_total_delta = m_total_profile.calc_mass_delta(r_delta)
m_gas_delta = m_gas_profile.calc_mass_delta(r_delta)
- results["R%d[kpc]" % d] = r_delta * au.cm.to(au.kpc)
- results["Mtotal%d[Msun]" % d] = m_total_delta * au.g.to(au.solMass)
- results["Mgas%d[Msun]" % d] = m_gas_delta * au.g.to(au.solMass)
+ results["R%d[kpc]" % d] = r_delta
+ results["Mtotal%d[Msun]" % d] = m_total_delta
+ results["Mgas%d[Msun]" % d] = m_gas_delta
results_json = json.dumps(results, indent=2)
print(results_json)