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authorAaron LI <aly@aaronly.me>2017-12-05 16:41:19 +0800
committerAaron LI <aly@aaronly.me>2017-12-05 16:41:19 +0800
commit4074cef1ec4bf835c317a855ec7cddc6125bc6c7 (patch)
tree60f03befa91703c0169046c215e776c89b40706c
parented5529b285b7d02fef31a9d3bcab3e90c15e7def (diff)
downloadatoolbox-4074cef1ec4bf835c317a855ec7cddc6125bc6c7.tar.bz2
astro/ps1d_eorwindow.py: improve messages/labels; cleanups
-rwxr-xr-xastro/ps1d_eorwindow.py41
1 files changed, 20 insertions, 21 deletions
diff --git a/astro/ps1d_eorwindow.py b/astro/ps1d_eorwindow.py
index 8828247..7e03045 100755
--- a/astro/ps1d_eorwindow.py
+++ b/astro/ps1d_eorwindow.py
@@ -85,14 +85,14 @@ class PS1D:
print("dk = %.6f [Mpc^-1]" % dk)
k_max = np.sqrt(k_perp[-1]**2 + k_los[-1]**2)
nk = int(k_max / dk) + 1
- print("number of k points: %d" % nk)
+ print("Number of k points: %d" % nk)
ps1d_k = np.arange(nk) * dk
# PS1D's 3 columns: [k, ps1d, ps1d_err]
ps1d = np.zeros(shape=(nk, 3))
ps1d[:, 0] = ps1d_k
- print("averaging 2D power spectrum ...")
+ print("Averaging 2D power spectrum ...")
mx, my = np.meshgrid(k_perp, k_los)
mk = np.sqrt(mx**2 + my**2)
for i, k in enumerate(ps1d_k):
@@ -118,29 +118,28 @@ class PS1D:
return ps1d
def save(self, outfile):
- ps1d = self.ps1d
- header = [
- "EoR window:",
- " FoV: %f [deg]" % self.ps2d.fov,
- " e_ConvWidth: %f" % self.ps2d.e,
- " k_perp_min: %f [Mpc^-1]" % self.ps2d.k_perp_min,
- " k_perp_max: %f [Mpc^-1]" % self.ps2d.k_perp_max,
- " k_los_min: %f [Mpc^-1]" % self.ps2d.k_los_min,
- " k_los_max: %f [Mpc^-1]" % self.ps2d.k_los_max,
- "",
- "k: wavenumber [Mpc^-1]",
- ]
if self.ps1d_normalized:
- header += ["ps1d: normalized power [K^2]"]
+ ps1d_desc = "normalized power [K^2]"
else:
- header += ["ps1d: power [K^2 Mpc^3]"]
- header += [
+ ps1d_desc = "power [K^2 Mpc^3]"
+ header = [
+ "EoR window definition:",
+ "+ FoV: %f [deg]" % self.ps2d.fov,
+ "+ e_ConvWidth: %f" % self.ps2d.e,
+ "+ k_perp_min: %f [Mpc^-1]" % self.ps2d.k_perp_min,
+ "+ k_perp_max: %f [Mpc^-1]" % self.ps2d.k_perp_max,
+ "+ k_los_min: %f [Mpc^-1]" % self.ps2d.k_los_min,
+ "+ k_los_max: %f [Mpc^-1]" % self.ps2d.k_los_max,
+ "",
+ "Columns:",
+ "1. k: wavenumber [Mpc^-1]",
+ "2. ps1d: %s" % ps1d_desc,
"ps1d_err: power errors",
"",
- "k ps1d ps1d_err"
+ "k ps1d ps1d_err",
]
- np.savetxt(outfile, ps1d, header="\n".join(header))
- print("saved 1D power spectrum to file: %s" % outfile)
+ np.savetxt(outfile, self.ps1d, header="\n".join(header))
+ print("Saved 1D power spectrum to file: %s" % outfile)
def plot(self, ax):
ps1d = self.ps1d
@@ -156,7 +155,7 @@ class PS1D:
ax.plot(x[1:], y[1:], marker="o")
ax.set(xscale="log", yscale="log",
xlabel=r"k [Mpc$^{-1}$]", ylabel=ylabel,
- title="1D Spherically Average Power Spectrum")
+ title="1D Spherically Averaged Power Spectrum")
return ax