A Python package for gravitational wave analysis using neural networks
Project description
SageNetGW
SageNetGW is a Python package for generating GW power-frequency curves. See https://github.com/YifangLuo/SageNet and https://github.com/bohuarolandli/stiffGWpy
Installation
pip install sagenetgw
Usage Example
from sagenetgw.classes import GWPredictor
import numpy as np
from matplotlib import pyplot as plt
predictor = GWPredictor()
prediction = predictor.predict({
"r":3.9585109e-05,
"n_t":1.0116972,
"kappa10":110.42477,
"T_re":0.17453859,
"DN_re":39.366618,
"Omega_bh2":0.0223828,
"Omega_ch2":0.1201075,
"H0":67.32117,
"A_s":2.100549e-9
})
pred_coords = np.column_stack((prediction['f'], prediction['log10OmegaGW']))
plt.plot(pred_coords[:, 0], pred_coords[:, 1], '--', color="royalblue", marker='.')
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