Advances in the Automated Database-driven Analysis Method autoMAGIC for the MAGIC Telescopes

ORAL

Abstract


Direct observation of TeV-energy photons is only possible with space-based experiments, due to the opaqueness of Earth's atmosphere at these energies. It is, however, possible to retrieve information on the energy and the direction of the photon from the Cherenkov light of the atmospheric particle cascade that is triggered by the photon.



One telescope system that has the ability to measure this Cherenkov light is the stereoscopic MAGIC telescope system, which utilizes the Imaging Air Cherenkov Telescope method. The analysis of particle showers and their images observed with the MAGIC telescopes depends on telescope pointing, atmospheric conditions, and hardware details. This results in a time-intensive manual analysis process.



To accelerate this process for the MAGIC telescopes, we developed the database-driven automation tool, autoMAGIC. This tool wraps and automates the customized steps of the MAGIC analysis pipeline. The Data Level 3 products from both telescopes are saved in a GADF-compliant format.



Building on autoMAGIC, analyzing a decade of MAGIC telescopes data can be performed in a timeframe comparable to that of a few nights of data. Moreover, autoMAGIC builds a perspective for the future use of MAGIC data through a legacy dataset.



This talk will present the status of the software as well as insights into long-term behavior of selected sources obtained with autoMAGIC.

*Financial support by the DFG (SFB\,1491) is gratefully acknowledged.

Publication: https://doi.org/10.1016/j.jheap.2024.09.011

Presenters

  • Cyrus Pan Walther

    • TU Dortmund University

Authors

  • Cyrus Pan Walther

    • TU Dortmund University