Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-23T14:48:22.252Z Has data issue: false hasContentIssue false
  • English
  • Français

Modeling circumstellar envelope with advanced numerical codes

Published online by Cambridge University Press:  08 June 2011

P. Procopio ,
A. De Rosa ,
C. Burigana ,
G. Umana  and
C. Trigilio
P. Procopio
Affiliation:
INAF - IASF Bologna, Via P. Gobetti 101, 40129 Bologna
A. De Rosa
Affiliation:
INAF - IASF Bologna, Via P. Gobetti 101, 40129 Bologna
C. Burigana
Affiliation:
INAF - IASF Bologna, Via P. Gobetti 101, 40129 Bologna
G. Umana
Affiliation:
INAF - OACt, Via S. Sofia 78, Catania
C. Trigilio
Affiliation:
INAF - OACt, Via S. Sofia 78, Catania
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.

We propose a modeling study on the formation and evolution of the Circumstellar Envelopes (CSEs) of a sample of selected radio-loud objects, based on an innovative interaction between two codes widely used by the scientific community, but in different fields. CLOUDY (Ferland et al. 1998) is a widely used code to model the spectral energy distribution (SED) of the several objects characterized by clouds of gas heated and ionized by a central object. CosmoMC (Lewis & Bridle 2002) instead is usually used for exploring cosmological parameter space. We investigate here on the exploitation of the sampling performance of the Markov-Chain Monte-Carlo (MCMC) engine of CosmoMC to search for a best fit model of the considered objects through the spectral synthesis capacity of CLOUDY.

Keywords

circumstellar matterplanetary nebulaeMCMC
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 6 , Symposium S274: Advances in Plasma Astrophysics , September 2010 , pp. 175 - 177
Copyright
Copyright © International Astronomical Union 2011

References

Condon, J. J. & Kaplan, D. L. 1998, ApJ Supp. Series, 117, 361CrossRefGoogle Scholar
Ferland, G. J., Korista, K. T., Verner, D. A., Ferguson, J. W., Kingdon, J. B., & Verner, E. M. 1998, PASP, 110, 761CrossRefGoogle Scholar
Lewis, A. & Bridle, S. 2002, Phys. Rev. D, 66, 103511CrossRefGoogle Scholar
Umana, G., Leto, P., Trigilio, C., Buemi, C. S., Manzitto, P., Toscano, S., Dolei, S., & Cerrigone, L. 2008, A&A, 482, 529Google Scholar
van Hoof, P., PhD Thesis, http://homepage.oma.be/pvh/thesis.htmlGoogle Scholar