Size distribution of supernova remnants and the interstellar medium: the case of M33

Дата и время публикации : 2013-11-20T18:36:09Z

Авторы публикации и институты :
Abdul I. Asvarov

Ссылка на журнал-издание: Ссылка на журнал-издание не найдена
Коментарии к cтатье: 10 pages, Accepted for publication in A&A
Первичная категория: astro-ph.GA

Все категории : astro-ph.GA, astro-ph.HE, 85A04, 85A35, J.2

Краткий обзор статьи: The size distribution of supernova remnants (SNRs) can help to clarify the various aspects of their evolution and interaction with the interstellar medium (ISM). Since the observed samples of SNRs are a collection of objects with very different ages and origin that evolve in different conditions of the ISM, statistical Monte Carlo methods can be used to model their statistical distributions. Based on very general assumptions on the evolution, we have modeled samples of SNRs at various initial and environmental conditions, which were then compared with observed collections of SNRs. In the evolution of SNRs the pressure of the ISM is taken into account, which determines their maximum sizes and lifetimes. When comparing the modeled and observed distributions, it is very important to have homogeneous observational data free from selection effects. We found that a recently published collection of SNRs in M33 (Long et al. 2010, ApJS,187,495) satisfies this requirement if we select the X-ray SNRs with hardness ratios in a limited range of values. An excellent agreement between distributions of this subset of SNRs and the subset of modeled SNRs was reached for a volume filling-factor of the warm phase of the ISM (partly ionized gas with $n_{rm H}sim 0.2-0.5~ rm {cm}^{-3}; T sim 8000-10000~K $) in M33 of $sim 90%$. The statistical distributions constructed in this way, which reproduce practically all the statistical properties of observed SNRs, allowed us to obtain one of the important parameters of M33: the birthrate is one SNR every $ {140} – {150}$ yr, and the total number of SNRs with a shock Mach number $M_{s} geq 2$ is larger than $sim 1000$.

Category: Physics