legend-exp Goto Github PK
Name: LEGEND Experiment
Type: Organization
Blog: http://legend-exp.org
Name: LEGEND Experiment
Type: Organization
Blog: http://legend-exp.org
CAGE: software stack
Fast Digital Signal Processing for particle detector signals in Python
A simple Geant4 simulation suite
Germanium Machine Learning is the collective machine learning project repository for Ge based neutrinoless double beta decay experiments.
Meta-package for the LEGEND Julia software stack
LEGEND Event Display
Convert digitizer data to LEGEND HDF5
LEGEND Data Format Specifications
LEGEND data monitoring
LEGEND data flow management
[WIP] Automatic dataflow for HADES data
LEGEND Julia Dashboards
Demonstration/Tutorial of LEGEND-related Julia packages
LEGEND Data Production Environment
WIP
LEGEND Python Data Objects
Germanium detector geometries for radiation transport simulations
Optical properties for the LEGEND experiment and Geant4 simulations
Snakemake workflow for orchestration of the LEGEND simulation chain
Scripts to ease LEGEND software developement
LEGEND test data for software testing
LegendMetadata access in Julia
Julia data types for the LEGEND experiment
LEGEND digital signal processing in Julia
Analysis of global LEGEND events in Julia
LEGEND Base Linux Container Image
LEGEND Software Stack Linux Container Image
High-level Julia package for LEGEND HPGe detector simulation
HDF5-IO in Julia for the LEGEND experiment
Julia Registry for LEGEND-specific Julia packages
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