Note
Click here to download the full example code
Catalog mass plotΒΆ
Plot component masses of all detections

import matplotlib.pyplot as plt
import numpy as np
from lisacattools.catalog import GWCatalogs
from lisacattools.catalog import GWCatalogType
# get list catalog files
catPath = "../../tutorial/data/mbh"
catalogs = GWCatalogs.create(GWCatalogType.MBH, catPath, "*.h5")
last_cat = catalogs.get_last_catalog()
detections_attr = last_cat.get_attr_detections()
detections = last_cat.get_detections(detections_attr)
# plot the catalog in the m1-m2 plane
fig, ax = plt.subplots(figsize=[8, 6], dpi=100)
ax.set_xscale("log", nonpositive="clip")
ax.set_yscale("log", nonpositive="clip")
ax.grid()
ax.set_xlabel("Mass 1 [MSun]")
ax.set_ylabel("Mass 2 [MSun]")
ax.legend(loc="lower right")
srcs = list(detections.index)
for idx, src in enumerate(srcs):
sample = last_cat.get_source_samples(src)
l1, m1, h1 = np.quantile(np.array(sample["Mass 1"]), [0.05, 0.5, 0.95])
l2, m2, h2 = np.quantile(np.array(sample["Mass 2"]), [0.05, 0.5, 0.95])
if idx < 10:
mkr = "o"
else:
mkr = "^"
ax.errorbar(
m1,
m2,
xerr=np.vstack((m1 - l1, h1 - m1)),
yerr=np.vstack((m2 - l2, h2 - m2)),
label=src,
markersize=6,
capsize=2,
marker=mkr,
markerfacecolor="none",
)
plt.show()
Total running time of the script: ( 0 minutes 1.173 seconds)