SuperNova Async Pipeline: combining
Project description
snap-combine
Code for combining SN significance from several detectors/experiments.
This package contains plugins for SNAP framework.
Installation
python -m pip install snap-combine
Example
Example configurations provided the examples
dir use these steps to
- client_sender.yml: generate client data, calculate significance and send it (via ipc zeromq socket) to combiner node
- combine.yml: receive client significance time series, combine them and apply thresholds.
On client side run
DETECTOR="det_name_1" snap_run client_sender.yml
Optionally in another terminal session:
DETECTOR="det_name_2" snap_run client_sender.yml
In another session (combination side):
snap_run combine.yml
You should see the monitoring ticks for all nodes.
Also you should see the files with the data output: data_received.dat
,data_combined.dat
and data_triggered.dat
.
After about 120s from the client start, a supernova signal will be emitted, so the significance becomes elevated, and the Trigger counter will advance.
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
Built Distribution
File details
Details for the file snap_combine-0.9.0.tar.gz
.
File metadata
- Download URL: snap_combine-0.9.0.tar.gz
- Upload date:
- Size: 26.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0167802972ca4dbdbb1d52dddcf963909cf2ad030004bb94d46ad4c61cc401bd |
|
MD5 | 16a4adba31cd6e5f19ada8053e5cc375 |
|
BLAKE2b-256 | ae42df08ff026f103fba03fb8933c2f476548fd28a2349ebd684f2eb6ecfb6da |
File details
Details for the file snap_combine-0.9.0-py3-none-any.whl
.
File metadata
- Download URL: snap_combine-0.9.0-py3-none-any.whl
- Upload date:
- Size: 25.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 32dc56cab2b8e5422e8dacae7dd2844bf64f5f708ceccb71e1ab49a48c2c0455 |
|
MD5 | f24c72cfb9f98eed41bab8e4017fef47 |
|
BLAKE2b-256 | 730f0a3ac55c875aba99d330455fc1bb3d58154cce31812155e822300dee6e23 |