On-line and off-line data analysis for the EUSO-TA experiment

We show the principles of the communication protocol, on-line calibration, off-line data format as well as basic visualisation and data analysis software implemented for the EUSO-TA on-ground experiment, being the first step towards implementation in a future space based mission. EUSO-TA is an on-ground detector for measuring UV (290–430 nm) light from extensive air showers induced by cosmic rays. It is a prototype experiment for the JEM-EUSO space-borne mission, built according to the same constraints of low mass, low power consumption and thus low computing power. Nevertheless, it needs to process a huge amount of data in short time, taking 2.5 μ s exposures for 2304 channels. w processing power and high time resolution require an efficient communication protocol and simple yet powerful algorithms for on-line analysis. The off-line data format is designed for storing a huge amount of data, at the same time allowing easy access, analysis and sharing. Its structure is scalable and adjustable to different experimental designs. It is independent of the data origin, whether it is hardware or a Monte-Carlo simulator. Use of object-oriented techniques and the ROOT framework allows rapid development of dedicated analysis software, such as a Python based quick-view program described herein. Basic capabilities of the software, such as display of the focal surface, light curves and calibration data are shown in this paper.