Learning from ASTRI-Horn: products and applications of Variance data
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arXiv
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| Format: | Preprint |
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2025
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| author | Iovenitti, Simone Crestan, Silvia Mineo, Teresa Leto, Giuseppe Giuliani, Andrea Lombardi, Saverio |
| author_facet | Iovenitti, Simone Crestan, Silvia Mineo, Teresa Leto, Giuseppe Giuliani, Andrea Lombardi, Saverio |
| contents | In the context of the ASTRI MiniArray project (9 dual-mirror air Cherenkov telescopes being installed at the Observatorio del Teide in the Canary Islands), the ASTRI- Horn prototype was previously implemented in Italy (Sicily). It was a crucial test bench for establishing observation strategies, hardware upgrades, and software solutions. Specifically, during the winter 2022/2023 observing campaign, we implemented significant enhancements in using the so-called Variance mode, an auxiliary output of the ASTRI Cherenkov camera able to take images of the night sky background in the near UV/visible band. Variance data are now processed online and on site using a dedicated pipeline and stored in tech files. This data can infer possible telescope mis-pointing, background level, number of identified stars, and point spread function. In this contribution, we briefly present these quantities and their importance together with the algorithms adopted for their calculation. They provide valuable monitoring of telescope health and sky conditions during scientific data collection, enabling the selection of optimal time sequences for Cherenkov data reduction. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_17392 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Learning from ASTRI-Horn: products and applications of Variance data Iovenitti, Simone Crestan, Silvia Mineo, Teresa Leto, Giuseppe Giuliani, Andrea Lombardi, Saverio Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena In the context of the ASTRI MiniArray project (9 dual-mirror air Cherenkov telescopes being installed at the Observatorio del Teide in the Canary Islands), the ASTRI- Horn prototype was previously implemented in Italy (Sicily). It was a crucial test bench for establishing observation strategies, hardware upgrades, and software solutions. Specifically, during the winter 2022/2023 observing campaign, we implemented significant enhancements in using the so-called Variance mode, an auxiliary output of the ASTRI Cherenkov camera able to take images of the night sky background in the near UV/visible band. Variance data are now processed online and on site using a dedicated pipeline and stored in tech files. This data can infer possible telescope mis-pointing, background level, number of identified stars, and point spread function. In this contribution, we briefly present these quantities and their importance together with the algorithms adopted for their calculation. They provide valuable monitoring of telescope health and sky conditions during scientific data collection, enabling the selection of optimal time sequences for Cherenkov data reduction. |
| title | Learning from ASTRI-Horn: products and applications of Variance data |
| topic | Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2507.17392 |