Conveners
Influence of atmosphere on measurements of present and future CR and Gamma-Ray esperiments
- Bianca Keilhauer (Karlsruhe Institute of Technology KIT)
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Dr Riccardo Damiano (Università Federico II di Napoli)17/07/2024, 09:30
The Naples observation station serves as a National Facility for the ACTRIS European network. In this frame, an innovative lidar system was recently made operational as part of the transportable atmospheric analysis equipment at the University of Naples "Federico II", located at CeSMA (Advanced Metrological and Technological Services Center).
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The system is compact and transportable, using two... -
Georgios Voutsinas (University of Geneva)17/07/2024, 10:00
The Cherenkov Telescope Array Observatory (CTAO) has set ambitious goals in terms of energy and angular resolution. Achieving these goals requires a detailed understanding of the atmosphere over the CTAO sites and the development of atmospheric calibration methods. In this contribution, we focus on the molecular atmosphere. We discuss ongoing efforts to estimate systematic uncertainties in...
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23. Characterisation of the Atmosphere in VHE gamma-astronomy with MAGIC elastic LIDAR and CTAO FRAMProf. Dijana Dominis Prester (University of Rijeka, Faculty of Physics)17/07/2024, 10:30
Ground-based observations of Very-High-Energy (VHE) gamma rays from extreme astrophysical sources are significantly influenced by atmospheric conditions. This is due to the atmosphere being an integral part of the detector when observing with Imaging Air Cherenkov telescopes. Clouds and dust particles diminish atmospheric transmission, thereby impacting Cherenkov showers and the reconstructed...
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Prof. Markus Gaug (Universitat Autònoma de Barcelona and CERES-IEEC)17/07/2024, 11:00
The Observatorio del Roque de los Muchachos (ORM) will host the northern site of the Cherenkov Telescope Array Observatory, in an area about 200~m below the mountain rim, where the optical telescopes are located. The area hosts the MAGIC Telescopes, which have gathered a unique series of 20 years of weather data.
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We use advanced profile likelihood methods to determine seasonal cycles, the...