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 import FormerGenerator
import numpy as np
from matplotlib import pyplot as plt
generator = FormerGenerator()
curve = generator.generate(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)
coords = np.array(curve)
plt.plot(coords[:, 0], coords[:, 1], '--', color="royalblue", marker='.')
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sagenetgw-0.1.0.tar.gz
(6.4 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sagenetgw-0.1.0.tar.gz.
File metadata
- Download URL: sagenetgw-0.1.0.tar.gz
- Upload date:
- Size: 6.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
130c2e6d2e22f26779410d8c0f5a558790be8516e9e84d86027c192eec7ca3df
|
|
| MD5 |
6fe407280454e7d890be4fa64162be8d
|
|
| BLAKE2b-256 |
d6a70749d3994fc0b58293fef0a97d27424672f51c822ce5c75edd04e3a946fe
|
File details
Details for the file sagenetgw-0.1.0-py3-none-any.whl.
File metadata
- Download URL: sagenetgw-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
541b1f5287bdf74aa9270eee951f202434d65bb8aad376c843e9e7fa38ca122c
|
|
| MD5 |
d00f666702f43c25923195bb413d6927
|
|
| BLAKE2b-256 |
112c523430a4d1352ff233087b5a142e6711f681a6113fcb9e7c5777d06a1103
|