pith:QUSKDIQI
An approximate Kappa generator for particle simulations
A q-exponential approximation to the Kappa CDF enables fast inverse-transform sampling of velocities for particle simulations.
arxiv:2602.05606 v3 · 2026-02-05 · physics.plasm-ph · astro-ph.IM · physics.space-ph
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\pithnumber{QUSKDIQIHQU3BLPRVSO3NIXK2E}
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Record completeness
Claims
Approximating the cumulative distribution function with the q-exponential function, an inverse transform procedure is constructed. The proposed method provides practically accurate results, in particular for k<4.
That the q-exponential approximation to the Kappa CDF remains sufficiently accurate for the error tolerances required in typical particle-in-cell or Monte-Carlo simulations when kappa is less than 4.
An approximate inverse-transform sampler for Kappa distributions is constructed via q-exponential CDF fitting and shown to be accurate for kappa less than 4 while running efficiently on GPUs.
Formal links
Receipt and verification
| First computed | 2026-06-08T01:03:57.837997Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8524a1a2083c29b0adf1ac9db6a2ead138828b996c760ca0da74e7f34e3bedd0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QUSKDIQIHQU3BLPRVSO3NIXK2E \
| 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: 8524a1a2083c29b0adf1ac9db6a2ead138828b996c760ca0da74e7f34e3bedd0
Canonical record JSON
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"submitted_at": "2026-02-05T12:45:04Z",
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