04043nam a22005175i 4500 978-3-031-66470-0 DE-He213 20251030114600.0 cr nn 008mamaa 241203s2024 sz | s |||| 0|eng d 9783031664700 978-3-031-66470-0 10.1007/978-3-031-66470-0 doi QB4-4.9 PGG bicssc SCI004000 bisacsh PGG thema Montanari, Alessandro. author. aut http://id.loc.gov/vocabulary/relators/aut 88485 Searching for Dark Matter with Imaging Atmospheric Cherenkov Telescopes [electronic resource] / by Alessandro Montanari, Emmanuel Moulin. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXXII, 186 p. 79 illus., 73 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1 The Dark Matter mystery -- Chapter 2 Astrophysics at TeV energies -- Chapter 3 Imaging Atmospheric Cherenkov Telescopes -- Chapter 4 Statistical analysis methods -- Chapter 5 Dark Matter search in the Galactic Center region -- Chapter 6 Sensitivity reach of IACT observations to TeV dark matter annihilation signals -- Conclusions and Perspectives. This book provides a comprehensive review of the methodologies and searches for dark matter (DM) annihilation signals using very-high-energy gamma rays (VHE, E > 100 GeV), utilizing data from current Imaging Atmospheric Cherenkov Telescopes (IACTs) in the pre-Cherenkov Telescope Array (CTA) era. It presents the state-of-the-art statistical analysis methods and theoretical models related to TeV DM, applied to data from the H.E.S.S. telescope array, which is currently the most sensitive IACT array for observing the Galactic Center (GC), where the brightest DM annihilation signals are expected. The authors delve into the astrophysics of VHE gamma-ray production through cosmic ray acceleration. They explain the Imaging Atmospheric Cherenkov technique, describe the H.E.S.S. array, and discuss possibilities for DM annihilation-induced gamma-ray spectra and DM distribution profiles. By employing advanced statistical methods, they search for weak signals in the GC region using the H.E.S.S. Inner Galaxy Survey dataset and address systematic uncertainties. The authors present and debate the most constraining results on TeV dark matter models. Finally, this book presents the sensitivity of current IACTs to DM annihilation signals using IGS mock datasets, accounting for systematic and instrumental uncertainties. Detection prospects for canonical TeV DM models, such as the Wino, Higgsino, and quintuplet, are discussed. Sensitivity benchmarks on indirect DM searches with IACTs using H.E.S.S. as an example are provided, setting the stage for future developments in the CTA era. It serves as a consolidated resource for graduate students and researchers, presenting methodologies that could lead to significant advancements in the quest to understand dark matter. Astronomy Observations. 67976 Cosmology. 76015 Astrophysics. 68037 Astronomy, Observations and Techniques. 67977 Cosmology. 76015 Astrophysics. 68037 Moulin, Emmanuel. author. aut http://id.loc.gov/vocabulary/relators/aut 88486 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031664694 Printed edition: 9783031664717 https://doi.org/10.1007/978-3-031-66470-0 ZDB-2-PHA ZDB-2-SXP 65447 65447