Speaker
Description
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 show the first production of 166 h of data from the MAGIC Imaging
Air Cherenkov Telescopes in standardized data format.
Six datasets from five sources were processed, 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.
| Collaboration(s) | MAGIC Collaboration |
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