Metadata-Version: 2.1
Name: legend_daq2lh5
Version: 1.2.2
Summary: Convert digitizer data to LH5
Home-page: https://github.com/legend-exp/legend-daq2lh5
Author: Jason Detwiler
Author-email: jasondet@uw.edu
Maintainer: The LEGEND Collaboration
License: GPL-3.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Software Development
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: dspeed>=1.3.0a4
Requires-Dist: h5py>=3.2.0
Requires-Dist: hdf5plugin
Requires-Dist: legend-pydataobj>=1.6
Requires-Dist: numpy>=1.21
Requires-Dist: pyfcutils
Requires-Dist: tqdm>=4.27
Requires-Dist: xmltodict
Provides-Extra: all
Requires-Dist: legend-daq2lh5[docs,test]; extra == "all"
Provides-Extra: docs
Requires-Dist: furo; extra == "docs"
Requires-Dist: myst-parser; extra == "docs"
Requires-Dist: sphinx; extra == "docs"
Requires-Dist: sphinx-copybutton; extra == "docs"
Requires-Dist: sphinx-inline-tabs; extra == "docs"
Provides-Extra: test
Requires-Dist: pre-commit; extra == "test"
Requires-Dist: pylegendtestdata; extra == "test"
Requires-Dist: pytest>=6.0; extra == "test"
Requires-Dist: pytest-cov; extra == "test"

# legend-daq2lh5

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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10721223.svg)](https://doi.org/10.5281/zenodo.10721223)

JSON-configurable conversion of digitized data into
[LEGEND HDF5](https://legend-exp.github.io/legend-data-format-specs/dev/hdf5/),
with optional data pre-processing via [dspeed](https://dspeed.readthedocs.io)
and data compression via [legend-pydataobj](https://legend-pydataobj.readthedocs.io).

Currently supported DAQ data formats:
* [FlashCam](https://www.mizzi-computer.de/home)
* [CoMPASS](https://www.caen.it/products/compass)
* [ORCA](https://github.com/unc-enap/Orca), reading out:
  - FlashCam
  - [Struck SIS3302](https://www.struck.de/sis3302.htm)
  - [Struck SIS3316](https://www.struck.de/sis3316.html)

If you are using this software, consider
[citing](https://doi.org/10.5281/zenodo.10721223)!
