Gravitational wave signals from 3D neutrino hydrodynamics simulations of core-collapse supernovae
read more
Citations
Science Case for the Einstein Telescope
Science Case for the Einstein Telescope
Rotating Stars in Relativity
Exploring Fundamentally Three-dimensional Phenomena in High-fidelity Simulations of Core-collapse Supernovae
References
Instability of a Stalled Accretion Shock: Evidence for the Advective-Acoustic Cycle
Is strong sasi activity the key to successful neutrino-driven supernova explosions?
Three-dimensional neutrino-driven supernovae: neutron star kicks, spins, and asymmetric ejection of nucleosynthesis products
Pulsar spins from an instability in the accretion shock of supernovae
A comparison of two- and three-dimensional neutrino-hydrodynamics simulations of core-collapse supernovae
Related Papers (5)
A new multi-dimensional general relativistic neutrino hydrodynamics code of core-collapse supernovae. III. Gravitational wave signals from supernova explosion models
Stability of Standing Accretion Shocks, with an Eye toward Core-Collapse Supernovae
Observation of Gravitational Waves from a Binary Black Hole Merger
Frequently Asked Questions (14)
Q2. What is the effect of the forward turbulent cascade on the surface g-mode?
Braking of downflows by the forward turbulent cascade and fragmentation into smaller eddies strongly suppress surface g-mode excitation in 3D.
Q3. Why does the model develop strong supersonic downflows?
Due to the early development of SASI activity in model G27-2D at a time when the accretion rate is high, particularly strong supersonic downflows on to the PNS develop.
Q4. What is the effect of the resonant excitation of the l = 2 surface?
the spectrum of turbulent motions does not extend to high frequencies in 3D both in SASI-dominated and convection-dominated models so that the resonant excitation of the l = 2 surface g mode at its eigenfrequency becomes ineffective.(iii)
Q5. What is the metric perturbation in the transverse traceless gauge?
In the transverse traceless (TT) gauge and the far-field limit, the metric perturbation, hTT, can be expressed in terms of the amplitudes of the two independent polarization modes in the following way,hTT(X, t) = 1 D [A+e+ + A×e×] .
Q6. What is the reason for the weak low frequency emission component in model s11.2?
The lack of large-scale motions with a significant l = 2 component also explains the weak lowfrequency GW activity in model s11.2, where the post-shock flow is dominated by smaller convective bubbles and the kinetic energy in non-radial fluid motions is typically smaller than for the more massive progenitors.
Q7. How long after the core bounce is the shock revived?
The criterion for runaway shock expansion is met approximately 180 ms after bounce and the shock is successfully revived at ∼210 ms post bounce.
Q8. What is the l = 2 mode in the exploding model?
In the exploding model, the l = 2 mode is generally stronger than in the non-exploding model and it remains strong throughout the simulation in contrast to the non-exploding model, where the l = 2 mode decreases in strength after the SASI-dominated phase ends.
Q9. What is the reason why the excitation of g modes in the surface layer is suppresse?
while the excitation of g modes in the surface layer is strongly suppressed in 3D, there is still some residual g-mode activity (Melson et al. 2015a; Müller 2015).
Q10. What are the reasons why the excitation of oscillations in the PNS surface layer is?
There are presumably several reasons why the excitation of oscillations in the PNS surface layer is found to be more efficient in 2D than in 3D.
Q11. What is the SNR for matched filtering?
Assuming an optimally orientated detector and a roughly isotropic frequency spectrum for different observer directions, the SNR for matched filtering is formally given by (Flanagan & Hughes 1998, cp. their equation 5.2 for the second form),(SNR)2 = 4 ∫ ∞0 df |h̃(f )|2 S(f )= ∫ ∞0 df h2c f 2S(f ) , (27)where hc = √ 2Gπ2c3D2 dEGW df (28)is the characteristic strain, S(f) is the power-spectral density of the detector noise as a function of frequency f and dEGW/df is the spectral energy density of the GWs.
Q12. How do the authors calculate the SNR for the low frequency band?
Using equation (33), the authors obtain a detection threshold of SNRlow 11 for the low-frequency band and SNRhigh 15 for the high-frequency band assuming t = 0.5 s. Since the critical SNR depends weakly on t, these fiducial values can be used for all models.
Q13. How do the authors compute the SNRs for the low frequency band?
In order to better assess the detectability and possible inferences from the signal structure, the authors compute SNRs quantifying the excess power in a low-frequency band (SNRlow for 20 Hz ≤ f < 250 Hz, i.e. δf = 230 Hz) and a high-frequency band (SNRhigh for 250 Hz ≤ f < 1200 Hz, i.e. δf = 950 Hz).
Q14. What is the main contribution to the high-frequency signal?
The decomposition of the integration volume into three layers (left-hand panel of Fig. 9) reveals that the main contribution to the high-frequency signal stems from the PNS surface (layer B).