Daniel Gabay, Shmuel Balberg, Uri Keshet

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


We examine the conditions for the revival of the stalled accretion shock in core-collapse supernovae, in the context of the neutrino heating mechanism. We combine one-dimensional simulations of the shock revival process with a derivation of a quasi-stationary approximation, which is both accurate and efficient in predicting the flow. In particular, this approach is used to explore how the evolution of the accretion shock depends on the shock radius, RS, and velocity, VS (in addition to other global properties of the system). We do so through a phase-space analysis of the shock acceleration, aS, in the plane, shown to provide quantitative insights into the initiation and nature of runaway expansion. In the particular case of an initially stationary () profile, the prospects for an explosion can be assessed by the initial signs of the partial derivatives of the shock acceleration, in analogy to a linear damped/anti-damped oscillator. If and runaway will likely occur after several oscillations, while if runaway expansion will commence in a non-oscillatory fashion. These two modes of runaway correspond to low and high mass accretion rates, respectively. We also use the quasi-stationary approximation to assess the advection-to-heating timescale ratio in the gain region, often used as an explosion proxy. Indeed, this ratio does tend to ∼1 in conjunction with runaway conditions, but neither this unit value nor the specific choice of the gain region as a point of reference appear to be unique in this regard.

Original languageAmerican English
Article number37
JournalAstrophysical Journal
Issue number1
StatePublished - 10 Dec 2015

Bibliographical note

Publisher Copyright:
© 2015. The American Astronomical Society. All rights reserved..


  • hydrodynamics
  • instabilities
  • shock waves
  • supernovae: general


Dive into the research topics of 'SHOCK REVIVAL in CORE-COLLAPSE SUPERNOVAE: A PHASE-DIAGRAM ANALYSIS'. Together they form a unique fingerprint.

Cite this