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  Analysis of H.E.S.S. Data on the Supernova Remnants Keplers SNR, Vela Junior and SN1006 and The Smart Pixel Camera: A Camera for Future Cherenkov Telescopes

Hauser, D. (2007). Analysis of H.E.S.S. Data on the Supernova Remnants Keplers SNR, Vela Junior and SN1006 and The Smart Pixel Camera: A Camera for Future Cherenkov Telescopes. PhD Thesis, Ruprecht-Karls Universität, Heidelberg.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0011-7BE2-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0011-7BE3-3
Genre: Thesis

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 Creators:
Hauser, Dominik1, Author           
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1Division Prof. Dr. Werner Hofmann, MPI for Nuclear Physics, Max Planck Society, ou_904550              

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 Abstract: One of the most violent events in our Universe is the death of a star in a supernova. The remnants of these supernovae are believed to be sources of the Galactic cosmic rays (CRs). However, it is still an open question which processes take place in the production of CRs. The CRs itself arrive isotropically on Earth, as they get deflected by interstellar magnetic fields. To study the acceleration regions of CRs, gamma rays which are produced in the vicinity of these regions are observed. In the very-high-energy waveband these gamma rays are detected with Imaging Atmospheric Cherenkov Telescopes making use of the atmosphere as a part of the detector. To date the H.E.S.S. experiment is the most sensitive telescope array in this field. In this work the analysis of H.E.S.S. data from three supernova remnants is presented and it is shown that two of them emit very-high-energy gamma rays. In the second part of this work a new type of camera for future arrays containing of multiple Imaging Atmospheric Cherenkov Telescopes is presented. It is shown that this camera is well-suited to be operated in such telescopes.

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Language(s): eng - English
 Dates: 2007-10-17
 Publication Status: Accepted / In Press
 Pages: VIII, 116 S. : Ill., graph. Darst.
 Publishing info: Heidelberg : Ruprecht-Karls Universität
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 319909
 Degree: PhD

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