Inspiral Search Pipeline using SGN Framework
Project description
SGNL (SGN inspiraL)
SGNL is a CBC search pipeline implemented using SGN. This page is for the application-specific
library sgnl, but there is a family of libraries that extend the functionality of SGN,
including:
sgn: Base library for SGNsgn-ts: TimeSeries utilities for SGNsgn-ligo: LSC specific utilities for SGN
Installation
To install SGNL, simply run:
pip install sgnl
More SGNL-specific documentation coming soon.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sgnl-0.1.4.tar.gz
(513.1 kB
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
sgnl-0.1.4-py3-none-any.whl
(267.7 kB
view details)
File details
Details for the file sgnl-0.1.4.tar.gz.
File metadata
- Download URL: sgnl-0.1.4.tar.gz
- Upload date:
- Size: 513.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.28.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
660f7a10fe31be4052e035510123ef0940af2ce1f7ed91fc1aa1c05dc7a5b1da
|
|
| MD5 |
163b04030513ea741c0c0e4f3eebc6a3
|
|
| BLAKE2b-256 |
aa356effc3b2c17817cc897daa35b2adba11b54b82bdbc3eed9bf262c39b8c68
|
File details
Details for the file sgnl-0.1.4-py3-none-any.whl.
File metadata
- Download URL: sgnl-0.1.4-py3-none-any.whl
- Upload date:
- Size: 267.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-httpx/0.28.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8fd058f10ff04d171108ddefd6fe25df31bcaff3670b0947eede0ccce847c194
|
|
| MD5 |
ed08ca14eceae5ac24365f1a4c6cf921
|
|
| BLAKE2b-256 |
64a3fc083d3e6008a00b2750019980fee1fd07616c41753fd0b1be99cf062798
|