Hostname: page-component-7c8c6479df-ws8qp Total loading time: 0 Render date: 2024-03-28T15:25:02.835Z Has data issue: false hasContentIssue false

Polarimetric tomography of blazar jets

Published online by Cambridge University Press:  24 March 2015

Ulisses Barres de Almeida
Affiliation:
Centro Brasileiro de Pesquisas Físicas Rua Dr. Xavier Sigaud 150, RJ – 22290-180, Rio de Janeiro, Brazil email: ulisses@cbpf.br
Fabrizio Tavecchio
Affiliation:
Osservatorio Astronomico di Brera, Via Emilio Bianchi 46, 23807 Merate, Italy email: fabrizio.tavecchio@brera.inaf.it
Nijil Mankuzhiyil
Affiliation:
Astrophysics Science Division, BARC, 400085 Mumbai, India email:mankuzhiyil.nijil@gmail.com
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In this talk we present a novel way to use optical polarimetric observations to provide independent constraints and guide to the modelling of the spectral energy distribution (SED) of blazars. The approach is particularly useful to judge when a two-zone model description of the SED of the source is required and is able to provide with extra information that helps breaking some of the degeneracies on the fit parameters of the two SSC model components. The method will be presented in some detail and will be subsequently applied to the 2008 multi-wavelength campaign of PKS 2155-304 as an illustration of its potential.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2015 

References

Abramowski, A., et al. (H. E. S. S. Collaboration) 2012, A&A, 539, 149Google Scholar
Agudo, I., Marscher, A. P., Jorstad, S., et al. 2011, ApJL, 735, L10Google Scholar
Aleksic, J., et al. (MAGIC Collaboration) 2012, A&A, 542, 100Google Scholar
Angel, J. R. P. & Stockman, H. S. 1980, ARA&A, 18, 321Google Scholar
Barres de Almeida, U., Ward, M. J., Dominici, T. P., et al. 2010, MNRAS, 408, 1778Google Scholar
Barres de Almeida, U., Tavecchio, F., & Mankuzhiyil, N. 2014, ApJ, 441, 2885Google Scholar
Bloom, S. D. & Marscher, A. P. 1996, ApJ, 461, 657CrossRefGoogle Scholar
D'Arcangelo, F. D., Marscher, A. P., Jorstad, S. G., et al. 2009, ApJ, 697, 985CrossRefGoogle Scholar
Fossati, G., Maraschi, L., Celotti, A., et al. 1998, MNRAS, 299, 433Google Scholar
Ghisellini, G., Celotti, A., Fossati, G., et al. 1998, MNRAS, 301, 451Google Scholar
Hagen-Thorn, V. A. & Marchenko, S. G. 1999, BaltA, 8, 575Google Scholar
Hinton, J. & Hofmann, W. 2009, ARA&A, 47, 523Google Scholar
Laing, R. A. 1980, MNRAS, 193, 439Google Scholar
Lovelace, R., Li, H., Koldoba, A. V., et al. 2002, ApJ, 572, 445CrossRefGoogle Scholar
Mankuzhiyil, N., Ansoldi, S., Persic, M., et al. 2012, ApJ, 753, 154CrossRefGoogle Scholar
Maraschi, L., Ghisellini, G., & Celotti, A. 1992, ApJL, 397, 5Google Scholar
Moore, R. L., Angel, J. R. P., Duerr, R., et al. 1982, ApJ, 260, 415Google Scholar
Sikora, M., Begelman, M., & Rees, M. 1994, ApJ, 421, 153Google Scholar
Tavecchio, F., Maraschi, L., & Ghisellini, G. 1998, ApJ, 509, 608Google Scholar
Urry, C. M. & Padovani, P. 1995, PASP, 31, 473Google Scholar