WAGASCI ANPAN for Python
Project description
WAGASCI ANPAN for Python v0.2.6
This collective package contains all the Python module used by the ANPAN framework of the WAGASCI/T2K experiment.
T2K experiment
T2K (Tokai-to-Kamioka) is a long-baseline off-axis neutrino oscillation experiment that focuses on measuring muon (anti)-neutrinos oscillating into electron (anti)-neutrinos. A very pure muon neutrino beam is produced at J-PARC accelerator complex and detected 295 km away at the Super-Kamiokande (SK) far detector. T2K uses a set of near detectors in order to reduce the large uncertainties on the oscillation parameters that come from the neutrino fluxes and interaction models.
WAGASCI experiment
WAGASCI (WAter-Grid-SCIintilator-Detector) is proposed to
- reduce the T2K systematic error
- measurement of the charge current cross-section ratio between water and scintillator targets with 3% accuracy
- measurement of different charged current neutrino interaction channels with high precision and large acceptance.
ANPAN
ANPAN (Acquisition Network Program for Accelerated Neutrinos) is a collective name to identify all the software used to acquire data and analyze it for the WAGASCI experiment. It is composed of many packages:
- Pyrame (C/Python2)
- Calicoes (C/Python2)
- WagasciCalibration (C++)
- WagasciRunControl (Python2)
- WagasciDatabaseViewer (Python3)
- WagasciAnpy (this package) (Python2/3)
Dependencies
- Python2.7 or Python3.4+
- pip
This package is compatible with both Python2.7 and Python3.4+. It is tested usually with Python 3.8 and sporadically with other Python versions. Therefore, it may happen that the compatibility with Python2.7 is not perfect.
To install Python, please google "Install Python <Your favourite OS>". All the other Python dependencies can be installed using Pip.
Optional dependencies
To use the raw data decoder and spill number fixer, you have to install ROOT and the WagasciCalibration package. Please refer to the links for an in-depth explanation about the installation process.
To update the WAGASCI run database you need
If you do not plan to use those features you can avoid installing these dependencies.
Installation
Python 2.7
Open a terminal and issue
python2 -m pip install --upgrade --user wagascianpy
Python 3.4+
Open a terminal and issue
python3 -m pip install --upgrade --user wagascianpy
Usage
TODO
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