pygama
pygama is a Python package for:
- converting physics data acquisition system output to LH5-format HDF5 files (functionality provided by the legend-pydataobj and legend-daq2lh5 packages)
- performing bulk digital signal processing (DSP) on time-series data (functionality provided by the dspeed package)
- optimizing DSP routines and tuning associated analysis parameters
- generating and selecting high-level event data for further analysis
Check out the online documentation.
If you are using this software, consider citing!
Related repositories
- legend-exp/legend-pydataobj → LEGEND Python Data Objects
- legend-exp/legend-daq2lh5 → Convert digitizer data to LEGEND HDF5
- legend-exp/dspeed → Fast Digital Signal Processing for particle detector signals in Python
Metadata
Release files for pygama 2.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pygama-2.6.2.tar.gz | 276.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pygama-2.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 548.8 kB
Release files / pygama-2.6.2.tar.gz
| Download URL | pygama-2.6.2.tar.gz |
|---|---|
| Size | 276.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / pygama-2.6.2-py3-none-any.whl
| Download URL | pygama-2.6.2-py3-none-any.whl |
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| Size | 272.9 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? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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