Make a simple plot of the gravitational-wave signal of GW150914 in both LIGO detectors

gw150914-simple.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# The MIT License (MIT)
# Copyright (c) 2019 Duncan Macleod
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"""Plot filtered LIGO data for GW150914
"""

__author__ = "Duncan Macleod <duncan.macleod@ligo.org>"
__license__ = "MIT"

from matplotlib import pyplot

from gwpy.plot import Plot
from gwpy.signal import filter_design
from gwpy.timeseries import TimeSeries

pyplot.style.use('dark_background')

# get data
lho = TimeSeries.fetch_open_data('H1', 1126259446, 1126259478, cache=True)
llo = TimeSeries.fetch_open_data('L1', 1126259446, 1126259478, cache=True)

# design filter to extract signal
bp = filter_design.bandpass(50, 250, lho.sample_rate)
notches = [filter_design.notch(line, lho.sample_rate) for line in (60,)]
zpk = filter_design.concatenate_zpks(bp, *notches)

# filter data
lhof = lho.filter(zpk, filtfilt=True).crop(1126259462, 1126259462.6)
llof = llo.filter(zpk, filtfilt=True).crop(1126259462, 1126259462.6)

# shift l1 data to account for time-delay and orientation
llof.t0 += 0.0069 * llof.t0.unit
llof *= -1

# plot
plot = Plot(figsize=[12, 4])
ax = plot.gca()
ax.plot(lhof, label='LIGO-Hanford', color='gwpy:ligo-hanford')
ax.plot(llof, label='LIGO-Livingston', color='gwpy:ligo-livingston')
ax.set_xscale('seconds')
ax.set_xlabel('Time (seconds) from 2015-09-14 09:50:45 UTC')
ax.set_ylabel('Amplitude (strain)')
ax.legend(loc='lower right', bbox_to_anchor=(1, 1), frameon=False)
plot.save('3-gw150914.png', dpi=1200)