Streaming analysis for xenon TPCs
Project description
strax
Streaming analysis for xenon experiments
Strax is an analysis framework for pulse-only digitization data, specialized for live data reduction at speeds of 50-100 MB(raw) / core / sec. For more information, please see the strax documentation.
Strax' primary aim is to support noble liquid TPC dark matter searches, such as XENONnT. The XENON-specific algorithms live in the separate package straxen. If you want to try out strax, you probably want to start there. This package only contains the core framework and basic algorithms any TPCs would want to use.
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
Built Distribution
File details
Details for the file strax-2.2.1.tar.gz.
File metadata
- Download URL: strax-2.2.1.tar.gz
- Upload date:
- Size: 142.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3e6f6f63f42c968faee8301b5f869395d1f8a2324c5c76b47a384927a8c5b485
|
|
| MD5 |
37547c6e7b8ef36059fcb8daa4211e6a
|
|
| BLAKE2b-256 |
8df38808075e3895b9c78f382fc52a9af661d41bfa3cc65e9ea481b691b7d60e
|
File details
Details for the file strax-2.2.1-py3-none-any.whl.
File metadata
- Download URL: strax-2.2.1-py3-none-any.whl
- Upload date:
- Size: 164.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d891066eb3847e2959f7129e85911a391160e63dfb1b19bde179bac46d5fed33
|
|
| MD5 |
10153708caf603773f9aa4aeb3911724
|
|
| BLAKE2b-256 |
da299889a538eca382321fd5fd786485a03a8263b66d9d8a8c7d1e7d3dfb7a29
|
