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The data comes from Daya-Bay (DYB) reactor neutrino experiment, which is mainly used to study neutrino oscillation and other frontier topics of high energy physics. By analyzing the data, the values of theta13 and other key properties of neutrino can be accurately measured. Neutrino physics is of great significance to understand the origin of the universe and the grand unified theory of particle physics.

Data Description
The data of Daya-Bay neutrino experiment include: raw data, reconstruction data and simulation data. The raw data consist of physics data and calibration data. Physics data are the electrical signals collected from detectors. About 300 files are collected per day with the file size of 1GB.

Reconstruction refers to the process of calculating and restoring the information of physics events (such as energy, direction, position, etc.) from the raw or simulation data, and the generated reconstruction data are used for subsequent physical analysis.

Calibration data are the calibration of by detector performance. The calibration data are used to calculate the absolute scales of physics parameters of events during the process of reconstruction.  

Simulation data are generated by Monte Carlo simulation to mimic the physics process when neutrino traverses the experiment apparatus (the detector). The data format is similar to the real raw data. The Monte Carlo simulation is used to help physicist to understand the detector performance or look for unexpected physics processes.

Data access policy
Only the Daya-Bay collaborators can access the data. More details can be found at http://dayabay.ihep.ac.cn/DocDB/0102/010251/003/DayaBay_bylaws20.pdf

Data analysis software
LAF (Lightweight Analysis Framework), a lightweight physical analysis framework software, is used in the physical analysis of Daya-Bay Neutrino experiment. More details can refer to: http://dayabay.ihep.ac.cn/tracs/dybsvn/browser/dybgaudi/trunk/NtupleAna/Examples/IBDSelectAlg


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