Streaming analysis for XENON
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. It's primary aim is to support noble liquid TPC dark matter searches, such as XENONnT.
For more information, please see the strax documentation.
0.5.0 / 2018-09-02
- Directory name delimiter changed from
_to-(#76) - Time-based random access (#80)
- Throw original exceptions on crashes (#87)
- Check for corrupted data (#88)
- FIX: edge cases in processing (#94)
- FIX: prevent saving during time range or fuzzy selection (#89)
- FIX: Workaround for memory leak in single-core mode (#91)
- XENON: Example cuts (#84)
- XENON: proper S1-S2 pairing (#82)
- XENON: Fix pax conversion (#95)
- DOCS: Datastructure docs (#85)
0.4.0 / 2018-08-27
- S3-protocol I/O (#68, #71, #74)
- Fuzzy matching, context options (#66)
- Fix bug with PyPI lacking MANIFEST (e9771db79bd0c6a148afe1fa8c2ed3d13495da88)
- Zenodo badge (#58)
0.3.0 / 2018-08-13
- Storage frontend/backend split, several fixes (#46)
- XENON: pax conversion fix (#47)
- Globally configurable mailbox settings (#55, #57)
0.2.0 / 2018-07-03
- Start documentation
ParallelSourcePluginto better distribute low-level processing over multiple coresOverlapWindowPluginto simplify algorithms that look back and ahead in the data- Run-dependent config defaults
- XENON: Position reconstruction (tensorflow NN) and corrections
0.1.2 / 2018-05-09
- Failed to make last patch release.
0.1.1 / 2018-05-09
#19: list subpackages in setup.py, so numba can find cached code- Autodeploy from Travis to PyPI
- README badges
0.1.0 / 2018-05-06
- Initial release
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