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Dark Matter Searches in Dwarf Spheroidal Galaxy Segue 1 with MAGIC

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Optimized Dark Matter Searches in Deep Observations of Segue 1 with MAGIC

Part of the book series: Springer Theses ((Springer Theses))

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Abstract

This chapter presents the results of this work—the search for signals of dark matter in dSph galaxy Segue 1. The long-term observational campaign was carried out with the MAGIC Telescopes between January 2011 and February 2013. With 157.9 h of good-quality data, this is the deepest survey of any dwarf galaxy by any IACT so far. Here are described the motivation behind the choice of Segue 1 as a suitable dark matter target, details of its observations with MAGIC and the subsequent analysis. Lastly, results from the full likelihood method and their interpretation in the light of various dark matter models are presented.

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Notes

  1. 1.

    Thus the name Segue 1, after the survey SEGUE (Sloan Extension for Galaxy Understanding and Exploration, [31]), as conventional for globular clusters, instead after the constellation towards which it lies.

  2. 2.

    The dynamical sum cleaning is not the best solution for the Segue 1 sample C data, as it produces non-smooth response functions. However, by the time this work was finished, production of MC files with different cleanings was not yet possible.

  3. 3.

    Above 2 TeV, these limits are somewhat deteriorated, as the dynamical sum image cleaning is no longer optimal for this analysis.

  4. 4.

    In principle, the intermediate scalar can also decay into photon and gauge boson, or two bosons.

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Authors and Affiliations

  1. Experimental Division, Institut de Física d’Altes Energies (IFAE), Edifici Cn. Universitat Autònoma de Barcelona, Bellaterra (Barcelona), Spain

    Jelena Aleksić

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  1. Jelena Aleksić
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Correspondence to Jelena Aleksić .

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Aleksić, J. (2016). Dark Matter Searches in Dwarf Spheroidal Galaxy Segue 1 with MAGIC. In: Optimized Dark Matter Searches in Deep Observations of Segue 1 with MAGIC. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-319-23123-5_5

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