MAGIC observations of the giant radio galaxy M87 in a low-emission state between 2005 and 2007
We present the results of a long M87 monitoring campaign in very high energy \(\gamma\)-rays with the MAGIC-I Cherenkov telescope. We aim to model the persistent non-thermal jet emission by monitoring and characterizing the very high energy \(\gamma\)-ray emission of M87 during a low state. A total...
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Published in | arXiv.org |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Paper Journal Article |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
11.07.2012
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Subjects | |
Online Access | Get full text |
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Summary: | We present the results of a long M87 monitoring campaign in very high energy \(\gamma\)-rays with the MAGIC-I Cherenkov telescope. We aim to model the persistent non-thermal jet emission by monitoring and characterizing the very high energy \(\gamma\)-ray emission of M87 during a low state. A total of 150\,h of data were taken between 2005 and 2007 with the single MAGIC-I telescope, out of which 128.6\,h survived the data quality selection. We also collected data in the X-ray and \textit{Fermi}--LAT bands from the literature (partially contemporaneous). No flaring activity was found during the campaign. The source was found to be in a persistent low-emission state, which was at a confidence level of \(7\sigma\). We present the spectrum between 100\,GeV and 2\,TeV, which is consistent with a simple power law with a photon index \(\Gamma=2.21\pm0.21\) and a flux normalization at 300\,GeV of \((7.7\pm1.3) \times 10^{-8}\) TeV\(^{-1}\) s\(^{-1}\) m\(^{-2}\). The extrapolation of the MAGIC spectrum into the GeV energy range matches the previously published \textit{Fermi}--LAT spectrum well, covering a combined energy range of four orders of magnitude with the same spectral index. We model the broad band energy spectrum with a spine layer model, which can satisfactorily describe our data. |
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ISSN: | 2331-8422 |
DOI: | 10.48550/arxiv.1207.2147 |