Joint Detection and Characterization of the Standing Accretion Shock Instability for Core-Collapse Supernovae with cWB XP

TL;DR

This paper presents a multimessenger detection method for the standing accretion shock instability in supernovae using neutrino and gravitational-wave data, demonstrating high detection probabilities with real LIGO data.

Contribution

It introduces an improved detection approach combining neutrino and GW signals with cWB XP, achieving higher accuracy and sensitivity in identifying SASI in supernovae.

Findings

High detection probability for SASI at 1, 5, and 10 kpc using O4 data

GW channel alone nearly achieves perfect identification scores

Combined GW and neutrino detection improves confidence in SASI detection

Abstract

The most sensitive to-date multimessenger detection of the standing accretion shock instability in real interferometric data is presented, which quantitatively identifies the presence of the SASI in core-collapse supernovae using neutrino and gravitational-wave (GW) signals. In the GW channel, the coherent WaveBurst (cWB) software on its version XP is implemented, among with real LIGO data from the O3 and O4 observing runs. With this, a more accurate estimation of parameters, such as the central frequency and signal duration, is obtained for both sets of data. The SASI identification probability versus false alarm rates is presented in the form of Receiver Operating Characteristic (ROC) curves. For O3, the new study for the combined GW and neutrino detection condition, labeled as $x + y$, shows an identification probability (previous best results from Lin et al. [1]) of 1 (1), 0.90 (0.70) and 0.37 (0.34) at 1, 5 and 10 kpc for a false identification probability of 0.10. On the other hand, using O4 shows that the GW channel by itself is sensitive enough to provide almost perfect identification probability scores, with identification probability values of 1, 0.99 and 0.97 for a false identification probability of 0.01 at 1, 5 and 10 kpc, respectively.