strax 0.5.0

Streaming analysis for XENON

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
• ParallelSourcePlugin to better distribute low-level processing over multiple cores
• OverlapWindowPlugin to 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