pith:AUP5FNTJ
Inpainting over the cracks: challenges of applying pre-merger searches for massive black hole binaries to realistic LISA datasets
Inpainting recovers 14 pre-merger massive black hole binary signals in realistic LISA data even with gaps.
arxiv:2605.13738 v1 · 2026-05-13 · astro-ph.IM · astro-ph.CO · gr-qc · hep-ex
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Claims
We demonstrate the successful recovery of the 14 signals in the dataset that we expected to be identifiable at least half a day before merger. The inpainting method can identify premerger signals even when gaps are present in the data, demonstrating the recovery of a signal even when 3 day-long data gaps are added to the 14 days preceding merger.
That the simulated Sangria-HM dataset accurately models the challenges of real LISA observations, including noise and signal properties, without introducing biases that would not occur in actual data.
Inpainting allows recovery of pre-merger massive black hole binary signals in LISA data despite gaps and overlaps.
References
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| First computed | 2026-05-18T02:44:16.486181Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/AUP5FNTJT2QHQP7GYH7Y3AA4SH \
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Canonical record JSON
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