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Modelling Pulsar Wind Nebulae

  • Diego F. Torres

Part of the Astrophysics and Space Science Library book series (ASSL, volume 446)

About this book

Introduction

In view of the current and forthcoming observational data on pulsar wind nebulae, this book offers an assessment of the theoretical state of the art of modelling them. The expert authors also review the observational status of the field and provide an outlook for future developments.

During the last few years, significant progress on the study of pulsar wind nebulae (PWNe) has been attained both from a theoretical and an observational perspective, perhaps focusing on the closest, more energetic, and best studied nebula: the Crab, which appears in the cover. Now, the number of TeV detected PWNe is similar to the number of characterized nebulae observed at other frequencies over decades of observations. And in just a few years, the Cherenkov Telescope Array will increase this number to several hundreds, actually providing an essentially complete account of TeV emitting PWNe in the Galaxy. At the other end of the multi-frequency spectrum, the SKA and its pathfinder instruments, will reveal thousands of new pulsars, and map in exquisite detail the radiation surrounding them for several hundreds of nebulae.

By carefully reviewing the state of the art in pulsar nebula research this book prepares scientists and PhD students for future work and progress in the field.

Keywords

Neutron stars Particle Acceleration in pulsar wind nebulae Relativistic plasma winds Crab nebula Pulsar Wind Nebulae Gamma Astronomy

Editors and affiliations

  • Diego F. Torres
    • 1
  1. 1.ICREA & Institute of Space Sciences(IEEC-CSIC) Campus UABBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-63031-1
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-63030-4
  • Online ISBN 978-3-319-63031-1
  • Series Print ISSN 0067-0057
  • Series Online ISSN 2214-7985
  • Buy this book on publisher's site
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