4.5 Review

Gamma-ray binaries and related systems

期刊

ASTRONOMY AND ASTROPHYSICS REVIEW
卷 21, 期 -, 页码 -

出版社

SPRINGER
DOI: 10.1007/s00159-013-0064-5

关键词

Acceleration of particles; Radiation mechanisms: non-thermal; Stars: massive; Novae; Pulsars: general; ISM: jets and outflows; Gamma rays: stars; X-rays: binaries

资金

  1. European Research Council under the European Community [ERC-StG-200911]
  2. Centre National d'Etudes Spatiales

向作者/读者索取更多资源

After initial claims and a long hiatus, it is now established that several binary stars emit high-(0.1-100 GeV) and very high-energy (>100 GeV) gamma rays. A new class has emerged called gamma-ray binaries, since most of their radiated power is emitted beyond 1 MeV. Accreting X-ray binaries, novae and a colliding wind binary (eta Car) have also been detected-related systems that confirm the ubiquity of particle acceleration in astrophysical sources. Do these systems have anything in common? What drives their high-energy emission? How do the processes involved compare to those in other sources of gamma rays: pulsars, active galactic nuclei, supernova remnants? I review the wealth of observational and theoretical work that have followed these detections, with an emphasis on gamma-ray binaries. I present the current evidence that gamma-ray binaries are driven by rotation-powered pulsars. Binaries are laboratories giving access to different vantage points or physical conditions on a regular timescale as the components revolve on their orbit. I explain the basic ingredients that models of gamma-ray binaries use, the challenges that they currently face, and how they can bring insights into the physics of pulsars. I discuss how gamma-ray emission from microquasars provides a window into the connection between accretion-ejection and acceleration, while eta Car and novae raise new questions on the physics of these objects-or on the theory of diffusive shock acceleration. Indeed, explaining the gamma-ray emission from binaries strains our theories of high-energy astrophysical processes, by testing them on scales and in environments that were generally not foreseen, and this is how these detections are most valuable.

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