pith:TWFNHI6V
Mitigating Systematic Errors in Parameter Estimation of Binary Black Hole Mergers in O1-O3 LIGO-Virgo Data
Parametric uncertainty models for waveforms reduce systematic errors in LIGO-Virgo binary black hole parameter estimates and align results across models and data versions.
arxiv:2604.21859 v2 · 2026-04-23 · astro-ph.HE · astro-ph.IM · gr-qc
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Claims
The proposed method effectively reduces systematic errors, even those arising from data artifacts such as glitches occurring near a signal and the deglitching process; inconsistent results from different waveform models become much more consistent, with GW200129_065458 yielding consistent non-zero χ_p values of 0.60^{+0.31}_{-0.33}, 0.58^{+0.30}_{-0.29} and 0.56^{+0.31}_{-0.28} across IMRPhenomXPHM, IMRPhenomXO4a and NRSur7dq4.
That the parametric uncertainty models developed in prior work, when equipped with sufficiently broad priors on phase and amplitude deviations, can absorb the dominant systematic errors present in the selected events without introducing new biases into the astrophysical parameters.
Reanalysis of flagged LVK events with waveform uncertainty models produces consistent spin and precession inferences across raw/deglitched data and multiple waveform approximants.
References
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| First computed | 2026-05-20T00:01:42.038715Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d8ad3a3d5e0956bda5294a368b55f614f3ed4968060962816c73cd9ff4b134f
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TWFNHI6V4CKWXWSSSSRWRNK7MF \
| 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: 9d8ad3a3d5e0956bda5294a368b55f614f3ed4968060962816c73cd9ff4b134f
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"submitted_at": "2026-04-23T16:52:02Z",
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