A DBSCAN time-based pixel selection retains more low-charge shower pixels than Tailcuts at matched data-reduction factors in CTAO simulations, with mixed noise-rejection performance.
Data model issues in the Cherenkov Telescope Array project
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abstract
The planned Cherenkov Telescope Array (CTA), a future ground-based Very-High-Energy (VHE) gamma-ray observatory, will be the largest project of its kind. It aims to provide an order of magnitude increase in sensitivity compared to currently operating VHE experiments and open access to guest observers. These features, together with the thirty years lifetime planned for the installation, impose severe constraints on the data model currently being developed for the project. In this contribution we analyze the challenges faced by the CTA data model development and present the requirements imposed to face them. While the full data model is still not completed we show the organization of the work, status of the design, and an overview of the prototyping efforts carried out so far. We also show examples of specific aspects of the data model currently under development.
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astro-ph.IM 1years
2024 1verdicts
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A Systematic Assessment of Data Volume Reduction for IACTs
A DBSCAN time-based pixel selection retains more low-charge shower pixels than Tailcuts at matched data-reduction factors in CTAO simulations, with mixed noise-rejection performance.