pith:U5PH3LI6
Mapping the Turn: An Eulerian Binormal-Axis Diagnostic for Recirculating 3D Flows
A new diagnostic extracts the local turning axis of streamlines directly from velocity and acceleration fields in 3D flows.
arxiv:2605.18439 v1 · 2026-05-18 · physics.flu-dyn
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Claims
The diagnostic uses the velocity vector and its convective acceleration to extract the local streamline-turning axis without requiring explicit streamline integration, yielding a spatially resolved field of the recirculating direction.
The Frenet-Serret binormal direction defined along an individual streamline can be recovered locally and pointwise from the velocity and convective acceleration fields in a manner that correctly represents the orientation of recirculation in 3D separated flows (motivated by the abstract's reference to the Frenet-Serret binormal).
An Eulerian binormal-axis diagnostic extracts the local orientation of streamline turning in 3D recirculating flows from velocity and acceleration without explicit integration.
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Receipt and verification
| First computed | 2026-05-20T00:06:01.127945Z |
|---|---|
| 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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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U5PH3LI6NNVZCERHI4TB7Y6GL2 \
| 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: a75e7dad1e6b6b91122747261fe3c65e8fbc6d28bc7da27f066396069644f2e0
Canonical record JSON
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