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Area of Science:

  • Astrophysics
  • General Relativity
  • Gravitational Wave Astronomy

Background:

  • Gravitational wave memory is a key prediction of general relativity.
  • This phenomenon, a permanent spacetime distortion, has not yet been experimentally confirmed.
  • Core-collapse supernovae are potential sources of detectable gravitational waves.

Purpose of the Study:

  • To present a novel approach for detecting linear gravitational wave memory.
  • To assess the feasibility of detecting this signal from Galactic core-collapse supernovae using current interferometers.
  • To determine the detection range and reliability of the proposed method.

Main Methods:

  • The study employs a combination of linear prediction filtering and matched filtering techniques.
  • The approach is tested on simulated data from core-collapse supernovae with varying progenitor masses and metallicities.
  • False alarm probabilities are calculated based on an on-source window consistent with neutrino detection.

Main Results:

  • The proposed method demonstrates the capability to detect gravitational wave memory.
  • Successful detection is achieved for simulated supernovae out to a distance of 10 kiloparsecs.
  • The analysis provides crucial information on false alarm probabilities for realistic detection scenarios.

Conclusions:

  • The developed approach offers a viable strategy for confirming gravitational wave memory.
  • Current interferometers may be capable of detecting this predicted phenomenon from nearby supernovae.
  • The findings have implications for multi-messenger astronomy, particularly when combined with neutrino observations.