Tools and Advancements towards Data Standardization of the MAGIC Collaboration

Abstract: Gamma-ray astronomy is able to acquire large data volumes that astronomers use to draw scientific conclusions from. Ensuring the possibility of accessing and utilizing this data also after the lifetime of currently running experiments requires the use of a standardized data format. Following the data standardization format proposed by the gamma-ray astronomy community, we present 104 h of the first production of 166 h of data from the MAGIC Imaging Air Cherenkov Telescopes in standardized data format. Six datasets were processed from which three are presented, all of which have been analyzed and validated through comparison using the open-source software Gammapy and the MAGIC analysis software MARS. Furthermore, looking towards a large-scale production of standardized data and a legacy of the data taken by the MAGIC experiment, we have developed and implemented the automated database-driven MAGIC data reduction tool autoMAGIC which offers a reliable and reproducible way to produce high-level datasets. By utilizing the automatization of parameter configuration choices, the software allows for a reduction of human error as well as an acceleration in the production of standardized data. Here, we also show comparable results for data processed with manual and automatic methods.