burst-waveform 0.3.0

A Python package for gravitational wave burst waveform

Burst waveform

This package hosts the python version of the burst waveform used in coherentWaveBurst(cWB) search.

Installation from source

make install

Usage

The Burst-Waveform package provides four burst waveform models: SineGaussian, SineGaussianQ, WhiteNoiseBurst, and Ringdown.

The waveforms can be generated by calling the instance of the waveform model after initializing it with the desired parameters.

For example, to generate a SineGaussianQ waveform,

from burst_waveform.models import SineGaussianQ
from matplotlib import pyplot as plt

params = {
    "amplitude": 1.0,
    "frequency": 300.0,
    "Q": 9
}

model = SineGaussianQ(params)
strain = model()

plt.plot(strain)
plt.show()

For WhiteNoiseBurst waveform,

from burst_waveform.models import WhiteNoiseBurst
import matplotlib.pyplot as plt

params = {
    'frequency': 300,
    'bandwidth': 50,
    'duration': 0.005,
    'inj_length': 1,
    'mode': 1
}

WNB = WhiteNoiseBurst(params)
wnb_strain = WNB()

plt.plot(wnb_strain)
plt.xlim(0.5 - 10 * params['duration'], 0.5 + 10 * params['duration'])
plt.show()

For Ringdown waveform,

from burst_waveform.models import Ringdown
from matplotlib import pyplot as plt

params = {
    "tau": 0.3,
    "frequency": 10.0,
    "iota": 90.0,
}

model = Ringdown(params)
hp, hc = model()

plt.plot(hp)
plt.plot(hc)
plt.show()