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authorAaron LI <aly@aaronly.me>2019-02-27 22:00:44 +0800
committerAaron LI <aly@aaronly.me>2019-02-27 23:57:12 +0800
commiteddca6e37e3d8079a4f2bf4653588dd98f789f37 (patch)
tree919e743258c2c19878e1a2857052a3fd8fe08502
parent963f6f4015c856f2f695f3634b47ed903ade5adf (diff)
downloadfg21sim-eddca6e37e3d8079a4f2bf4653588dd98f789f37.tar.bz2
Several minor cleanups
-rw-r--r--fg21sim/configs/config.spec8
-rw-r--r--fg21sim/extragalactic/clusters/main.py4
2 files changed, 6 insertions, 6 deletions
diff --git a/fg21sim/configs/config.spec b/fg21sim/configs/config.spec
index 5a0731d..38e07d1 100644
--- a/fg21sim/configs/config.spec
+++ b/fg21sim/configs/config.spec
@@ -254,7 +254,7 @@ stream = option("stderr", "stdout", "", default="stderr")
# Unit: [Msun]
M_min = float(default=1e12, min=1e10, max=1e14)
M_max = float(default=1e16, min=1e14, max=1e18)
- # The logarithmic (base 10) step size for the halo masses; therefore
+ # The 10-based logarithmic step size for the halo masses; therefore
# the number of intervals is: (log10(M_max) - log10(M_min)) / M_step
M_step = float(default=0.01, min=0.001, max=0.1)
@@ -272,11 +272,11 @@ stream = option("stderr", "stdout", "", default="stderr")
# Redshifts where the halo mass distribution is calculated.
# * ``mass``:
# (Logarithmic-distributed) mass points.
- # Unit: [Msun] (the little "h" is folded into the values)
+ # Unit: [Msun] (NOTE: the little "h" is folded into the values)
# * ``dndlnm``:
# Shape: (len(z), len(mass))
- # Differential mass function in terms of natural log of M.
- # Unit: [Mpc^-3] (the little "h" is folded into the values)
+ # Differential mass function in terms of ln(M).
+ # Unit: [Mpc^-3] (NOTE: the little "h" is folded into the values)
dndlnm_outfile = string(default="dndlnm.npz")
diff --git a/fg21sim/extragalactic/clusters/main.py b/fg21sim/extragalactic/clusters/main.py
index cfeaf80..201ceed 100644
--- a/fg21sim/extragalactic/clusters/main.py
+++ b/fg21sim/extragalactic/clusters/main.py
@@ -453,8 +453,8 @@ class GalaxyClusters:
the corresponding halo within the ``self.halos``.
The templates are normalized to have *mean* value of 1.
"""
- idx_kept = [idx for idx, cdict in enumerate(self.halos)
- if cdit["genuine"] and not cdict.get("drop", False)]
+ idx_kept = [idx for idx, hdict in enumerate(self.halos)
+ if hdit["genuine"] and not hdict.get("drop", False)]
num = len(idx_kept)
logger.info("Draw template images for %d halos ..." % num)
for i, idx in enumerate(idx_kept):