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authorAaron LI <aly@aaronly.me>2017-11-12 22:49:57 +0800
committerAaron LI <aly@aaronly.me>2017-11-12 23:05:18 +0800
commit0ffd1ceef106cd3b54d4b1dd198b4933bfa4e5ae (patch)
treeae3a7335de4e1a263e7906b5534a92f3e3f4f6f3 /astro/calc_psd.py
parent14ae753c7a7afeb81d89247e0f64411414c6959a (diff)
downloadatoolbox-0ffd1ceef106cd3b54d4b1dd198b4933bfa4e5ae.tar.bz2
astro/calc_psd.py: Add bunit to PSD and update ylabel
Diffstat (limited to 'astro/calc_psd.py')
-rwxr-xr-xastro/calc_psd.py14
1 files changed, 11 insertions, 3 deletions
diff --git a/astro/calc_psd.py b/astro/calc_psd.py
index 2b57fc9..5a3552d 100755
--- a/astro/calc_psd.py
+++ b/astro/calc_psd.py
@@ -53,7 +53,8 @@ class PSD:
will be calculated for each averaged annulus. If this option is
``True`` then calculate the mean and standard deviation instead.
"""
- def __init__(self, image, pixel=(1.0, "pixel"), step=None, meanstd=False):
+ def __init__(self, image, pixel=(1.0, "pixel"), step=None,
+ meanstd=False, bunit=None):
self.image = np.array(image, dtype=float)
self.shape = self.image.shape
if self.shape[0] != self.shape[1]:
@@ -65,6 +66,7 @@ class PSD:
raise ValueError("step must be greater than 1")
self.meanstd = meanstd
+ self.bunit = bunit
@property
@lru_cache()
@@ -252,6 +254,11 @@ class PSD:
else:
label = "median"
labelerr = "68% percentile range"
+ if self.bunit:
+ ylabel = r"Power [(%s)$^2$]" % self.bunit
+ else:
+ ylabel = "Power"
+
yerr = np.row_stack((self.psd1d_errl, self.psd1d_erru))
ax.errorbar(freqs, self.psd1d, yerr=yerr,
fmt="none", label=labelerr)
@@ -260,7 +267,7 @@ class PSD:
xlim=(xmin, xmax), ylim=(ymin, ymax),
title="Radial (Azimuthally Averaged) Power Spectral Density",
xlabel=r"k [%s$^{-1}$]" % self.pixel[1],
- ylabel="Power")
+ ylabel=ylabel)
ax.legend()
if self.pixel[1] != "pixel":
@@ -390,7 +397,8 @@ def main():
else:
raise ValueError("image has different unit: %s" % bunit2)
- psd = PSD(image=image, pixel=pixel, step=args.step, meanstd=args.meanstd)
+ psd = PSD(image=image, pixel=pixel, step=args.step,
+ meanstd=args.meanstd, bunit=bunit)
psd.calc_psd()
psd.save(args.outfile)