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.
Metadata
Release files for strax 2.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| strax-2.2.3.tar.gz | 143.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| strax-2.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 307.8 kB
Release files / strax-2.2.3.tar.gz
| Download URL | strax-2.2.3.tar.gz |
|---|---|
| Size | 143.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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Release files / strax-2.2.3-py3-none-any.whl
| Download URL | strax-2.2.3-py3-none-any.whl |
|---|---|
| Size | 164.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
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