引力波的绘制

官方指南

• 分析方法:
  • 提取数据
  • FFT
  • 去噪
  • 光谱图
  • 滤波

HDF5

import numpy as np
import matplotlib.pyplot as plt
from scipy.io import wavfile

rate_h, hstrain = wavfile.read(r"H1_Strain.wav","rb")
rate_l, lstrain = wavfile.read(r"L1_Strain.wav","rb")
reftime, ref_H1 = np.genfromtxt('GW150914_4_NR_waveform_template.txt').transpose
htime_interval = 1 / rate_h
ltime_interval  = 1 / rate_l

htime_len = hstrain.shape[0] / rate_h
htime = np.arange(-htime_len/2, htime_len/2, htime_interval)
ltime_len = lstrain.shape[0] / rate_l
ltime = np.arange(-ltime_len / 2, ltime_len / 2, ltime_interval)

fig = plt.figue(figsize=(12,6))

plth = fig.add_subplot(221)
plth.plot(htime, hstrain, 'y')
plth.set_xlabel('Time (seconds)')
plth.set_ylabel('H1 Strain')
plth.set_title('H1 Strain')

fig.tight_layout()
plt.savefig("Gravitational_Waves_Original.png")
plt.show()
plt.close(fig)

import numpy as np
import matplotlib.pyplot as plt
from scipy.io import wavfile
 
rate_h, hstrain= wavfile.read(r"H1_Strain.wav","rb")
rate_l, lstrain= wavfile.read(r"L1_Strain.wav","rb")
#reftime, ref_H1 = np.genfromtxt('GW150914_4_NR_waveform_template.txt').transpose()
reftime, ref_H1 = np.genfromtxt('wf_template.txt').transpose() #使用python123.io下载文件
 
htime_interval = 1/rate_h
ltime_interval = 1/rate_l
fig = plt.figure(figsize=(12, 6))
 
# 丢失信号起始点
htime_len = hstrain.shape[0]/rate_h
htime = np.arange(-htime_len/2, htime_len/2 , htime_interval)
plth = fig.add_subplot(221)
plth.plot(htime, hstrain, 'y')
plth.set_xlabel('Time (seconds)')
plth.set_ylabel('H1 Strain')
plth.set_title('H1 Strain')
 
ltime_len = lstrain.shape[0]/rate_l
ltime = np.arange(-ltime_len/2, ltime_len/2 , ltime_interval)
pltl = fig.add_subplot(222)
pltl.plot(ltime, lstrain, 'g')
pltl.set_xlabel('Time (seconds)')
pltl.set_ylabel('L1 Strain')
pltl.set_title('L1 Strain')
 
pltref = fig.add_subplot(212)
pltref.plot(reftime, ref_H1)
pltref.set_xlabel('Time (seconds)')
pltref.set_ylabel('Template Strain')
pltref.set_title('Template')
fig.tight_layout()
 
plt.savefig("Gravitational_Waves_Original.png")
plt.show()
plt.close(fig)