Observational Prospects

Detecting spin memory across the gravitational wave spectrum

Measurement Strategy

The accumulated spin observable is defined as:

$$\Sigma(u_f) = \int_{-\infty}^{u_f} h_{\times,B}(u)\,du$$

After the wave train passes, $\Sigma$ saturates to a permanent non-zero constant.

Matched Filtering SNR

$$\mathrm{SNR}^2 = 4\int_0^\infty \frac{|\tilde{h}_{\rm spin}(f)|^2}{S_n(f)}\,df \propto 4\,|\Delta J|^2 \int_0^{f_{\rm ISCO}} \frac{df}{f^2\,S_n(f)}$$

The $1/f^2$ weighting means spin memory SNR is dominated by the low-frequency noise floor.

Detector Landscape

DetectorBandDisplacement MemorySpin Memory
LIGO/Virgo O410–1000 HzMarginal (stacking)Not accessible
Einstein Telescope2–10,000 HzDetectable (BBH)Marginal (stacking)
LISA$10^{-4}$–1 HzSMBBH & EMRIPromising (SMBBH)
Pulsar Timing ArraysnHzBackgroundBackground $\Delta J$

Optimal Sources

1. Supermassive BBH mergers: $M\sim 10^8\,M_\odot$, LISA primary target. Spin memory strain $\sim 10^{-16}$ at $D_L = 1\,\text{Gpc}$.

2. Extreme mass-ratio inspirals: $10^5$ orbits, cumulative spin memory builds coherently.

3. Precessing binaries: Spin–orbit coupling enhances B-mode memory.

4. Core-collapse supernovae: Detection would directly measure proto-NS angular momentum.

Open Questions

  1. Precise post-Newtonian waveform templates for B-mode spin memory signal
  2. Disentangling spin memory from frame-dragging effects in EMRI signals
  3. Role of spin memory in the black-hole information paradox (Hawking–Perry–Strominger soft-hair proposal)
  4. Extension to higher memory orders: sub-subleading soft theorems
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