Global Neutrino Analysis (GNA) project aims at providing the following tools for the needs of the data analysis related to the neutrino physics:
- Build complex physical models with large number of parameters using dataflow principles.
- Implicit caching and lazy evaluation.
- High performance fitting using CPU/CPU (multithreading)/GPU. Switching between modes at a runtime, not at a compile time.
- Statistical analysis of data of neutrino experiments.
- Combined analysis.
The project is on the alpha stage.
header | header |
---|---|
Homepage | https://astronu.jinr.ru/wiki/index.php/GNA |
Documentation | http://gna.pages.jinr.ru/gna/ |
Public mirror (master) | https://github.com/gnafit/gna |
Main repository (private) | https://git.jinr.ru/gna/gna |
Most of the experiment related input data is restricted and located in a separate repository.
External data repositories should be available under data/
subfolder of the
GNA root.
Experiment and dataset | Repository | Comments |
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Daya Bay | https://git.jinr.ru/gna/data_dayabay | |
JUNO | https://git.jinr.ru/gna/data_juno | |
Common | https://git.jinr.ru/gna-public/data-common | public |