Bibcode
DOI
Tenorio-Tagle, G.; Arthur, S. J.; Franco, Jose; Terlevich, Roberto; Miller, Walter Warren, III
Referencia bibliográfica
Astrophysical Journal, Part 1 (ISSN 0004-637X), vol. 435, no. 2, p. 805-814
Fecha de publicación:
11
1994
Revista
Número de citas
28
Número de citas referidas
27
Descripción
This paper explores the onset of thin-shell formation in interstellar
shocks associated with supernova explosions. We outline a simple but
useful scheme that indicates the time at which thin shell formation
begins for supernova remnants (SNRs) evolving in a range of interstellar
environments, extending the previous analytical models to arbitrary
power-law density media. The result depends on the gas cooling
properties and the shock velocity and radius. This is then applied to
the specific case of SNRs in low-density media. The procedure for
defining the time for the onset of shell formation, tsf,
equates the value of the adiabat, kappa = p/rhogamma, to zero
using the known time dependence of the shock radius and velocity. For
the case of a power-law density ambient medium of the form rho(r) =
Br-omega, it is found that shell formation can be prevented
when the ambient density drops faster than a critical rate. For a
cooling function of the form Lambda = Lambda0
taubeta, with beta = -0.5 (appropriate for line cooling),
shell formation never occurs for omega greater than or equal to 9/5. The
shell formation time is then computed for spherical shocks in a
power-law density medium. For omega = 0, the onset of shell formation is
found to be at tsf approx. equal to 2.87 x 104
E513/14 n0 exp -4.7 yr, which agrees well with
previous estimates derived by other means. We compare the analytical
shell formation time with the results of detailed numerical models for
omega = 0 and three different ambient densities and find good agreement.
The extension of the criterion for the onset of thin shell formation
using the ratio of cooling to swept-up column density is also described.
This method provides a useful approximation for cases when the exact
solution is not known.