pith:NEYNERQR
Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data
A normalizing flow model on RGB images of BBH spectrograms recovers LVK parameter estimates for most quantities.
arxiv:2505.08089 v3 · 2025-05-12 · gr-qc · astro-ph.IM
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Record completeness
Claims
Our model yields good agreement with the LVK results over most parameters.
The conversion of BBH spectrograms into RGB images, combined with training exclusively on IMRPhenomXPHM simulations, is sufficient to recover accurate posteriors on real detector data without explicit noise conditioning.
GP15 maps BBH spectrograms to parameter posteriors via residual networks and normalizing flows, producing results consistent with LVK analyses on GWTC-2.1 and GWTC-3 events while running in seconds.
Formal links
Receipt and verification
| First computed | 2026-07-09T01:19:36.082576Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6930d246118708c3985c5b1e3584aa8a460c2107e82085e4dc73660b1720992f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NEYNERQRQ4EMHGC4LMPDLBFKRJ \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6930d246118708c3985c5b1e3584aa8a460c2107e82085e4dc73660b1720992f
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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