pith:64SOJL3G
Population Properties of Binary Black Holes with Eccentricity
The first population analysis of binary black holes including eccentricity finds that such events comprise less than 5 percent of the total.
arxiv:2602.11030 v2 · 2026-02-11 · astro-ph.HE
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Claims
We perform a very first population analysis that simultaneously fits the mass, spin, redshift, and eccentricity distribution. [...] we bound the branching ratio for eccentric events to be below 0.051890 and 0.022011 at 90% confidence with and without GW200129_065458 respectively.
The SEOBNRv5EHM waveform model accurately captures eccentric binary black hole signals for parameter estimation, and the chosen parametric forms for the eccentricity population distribution are appropriate representations of the underlying population.
First joint population inference on binary black hole eccentricity from GWTC-4 bounds the eccentric branching ratio below 5% at 90% confidence, with results consistent with quasi-circular models but highly model-dependent.
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| First computed | 2026-05-17T23:38:59.979652Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f724e4af6663fe1b4339e6491c1903fbfc9c76cfcfb4b71b5e35a3b9f7a9edce
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/64SOJL3GMP7BWQZZ4ZERYGID7P \
| 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: f724e4af6663fe1b4339e6491c1903fbfc9c76cfcfb4b71b5e35a3b9f7a9edce
Canonical record JSON
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